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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v10i1e51802</article-id>
      <article-id pub-id-type="pmid">38149840</article-id>
      <article-id pub-id-type="doi">10.2196/51802</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Understanding Gaps in the Hypertension and Diabetes Care Cascade: Systematic Scoping Review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Wei</surname>
            <given-names>Shanzun</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Mathur</surname>
            <given-names>Prashant</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Jie</given-names>
          </name>
          <degrees>BMed</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0002-6941-0262</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Tan</surname>
            <given-names>Fangqin</given-names>
          </name>
          <degrees>BMed</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0000-1102-8429</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Zhenzhong</given-names>
          </name>
          <degrees>BM</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3606-8651</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Yu</surname>
            <given-names>Yiwen</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3935-846X</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Yang</surname>
            <given-names>Jingsong</given-names>
          </name>
          <degrees>BMed</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0009-0001-0260-5228</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Yueqing</given-names>
          </name>
          <degrees>MPH</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3676-5123</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Shao</surname>
            <given-names>Ruitai</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1977-7445</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Yin</surname>
            <given-names>Xuejun</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>School of Population Medicine and Public Health</institution>
            <institution>Chinese Academy of Medical Sciences &#38; Peking Union Medical College</institution>
            <addr-line>31 Beijige San Tiao</addr-line>
            <addr-line>Dongcheng District</addr-line>
            <addr-line>Beijing, 100005</addr-line>
            <country>China</country>
            <phone>86 18600988138</phone>
            <email>yinxuejun@cams.cn</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8446-9591</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>School of Population Medicine and Public Health</institution>
        <institution>Chinese Academy of Medical Sciences &#38; Peking Union Medical College</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>The George Institute for Global Health</institution>
        <institution>University of New South Wales</institution>
        <addr-line>Sydney</addr-line>
        <country>Australia</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Xuejun Yin <email>yinxuejun@cams.cn</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>16</day>
        <month>2</month>
        <year>2024</year>
      </pub-date>
      <volume>10</volume>
      <elocation-id>e51802</elocation-id>
      <history>
        <date date-type="received">
          <day>15</day>
          <month>8</month>
          <year>2023</year>
        </date>
        <date date-type="rev-request">
          <day>11</day>
          <month>10</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>22</day>
          <month>10</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>12</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Jie Wang, Fangqin Tan, Zhenzhong Wang, Yiwen Yu, Jingsong Yang, Yueqing Wang, Ruitai Shao, Xuejun Yin. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 16.02.2024.</copyright-statement>
      <copyright-year>2024</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2024/1/e51802" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Hypertension and diabetes are global health challenges requiring effective management to mitigate their considerable burden. The successful management of hypertension and diabetes requires the completion of a sequence of stages, which are collectively termed the care cascade.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This scoping review aimed to describe the characteristics of studies on the hypertension and diabetes care cascade and identify potential interventions as well as factors that impact each stage of the care cascade.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>The method of this scoping review has been guided by the framework by Arksey and O’Malley. We systematically searched MEDLINE, Embase, and Web of Science using terms pertinent to hypertension, diabetes, and specific stages of the care cascade. Articles published after 2011 were considered, and we included all studies that described the completion of at least one stage of the care cascade of hypertension and diabetes. Study selection was independently performed by 2 paired authors. Descriptive statistics were used to elucidate key patterns and trends. Inductive content analysis was performed to generate themes regarding the barriers and facilitators for improving the care cascade in hypertension and diabetes management.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>A total of 128 studies were included, with 42.2% (54/128) conducted in high-income countries. Of them, 47 (36.7%) focused on hypertension care, 63 (49.2%) focused on diabetes care, and only 18 (14.1%) reported on the care of both diseases. The majority (96/128, 75.0%) were observational in design. Cascade stages documented in the literature were awareness, screening, diagnosis, linkage to care, treatment, adherence to medication, and control. Most studies focused on the stages of treatment and control, while a relative paucity of studies examined the stages before treatment initiation (76/128, 59.4% vs 52/128, 40.6%). There was a wide spectrum of interventions aimed at enhancing the hypertension and diabetes care cascade. The analysis unveiled a multitude of individual-level and system-level factors influencing the successful completion of cascade sequences in both high-income and low- and middle-income settings.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>This review offers a comprehensive understanding of hypertension and diabetes management, emphasizing the pivotal factors that impact each stage of care. Future research should focus on upstream cascade stages and context-specific interventions to optimize patient retention and care outcomes.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>care cascade</kwd>
        <kwd>hypertension</kwd>
        <kwd>diabetes</kwd>
        <kwd>scoping review</kwd>
        <kwd>hypertension and diabetes care</kwd>
        <kwd>review</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Noncommunicable diseases (NCDs) constitute a formidable global health challenge, accounting for approximately 80% of NCD-related deaths, and they include cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes [<xref ref-type="bibr" rid="ref1">1</xref>]. Hypertension is the most pivotal risk factor for cardiovascular diseases [<xref ref-type="bibr" rid="ref2">2</xref>]. The prevalence of hypertension among adults aged 30-79 years worldwide is estimated to be 1.28 billion, with an alarming 700 million individuals unaware of their condition. Less than half of adults with hypertension are diagnosed and treated. Only approximately 1 in 5 adults with hypertension have their blood pressure controlled [<xref ref-type="bibr" rid="ref3">3</xref>]. Similarly, the global prevalence of diabetes among adults has surged to 537 million in 2021, with nearly half of these cases (240 million) remaining undiagnosed. Moreover, the treatment rate for diabetes is suboptimal, with only 32.9% of patients receiving appropriate care and a mere 16.5% attaining treatment goals [<xref ref-type="bibr" rid="ref4">4</xref>]. Evidence suggests that a substantial proportion of patients with hypertension and diabetes reside in low- and middle-income countries (LMICs), wherein the management of these conditions remains persistently low [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref5">5</xref>].</p>
      <p>Hypertension and diabetes are often approached differently by distinct clinical subspecialties owing to their clinical complexities. However, it is essential to recognize that the management of these 2 conditions together can be highly beneficial owing to their shared risk factors and bidirectional interaction. The management of hypertension and diabetes also shares the same pathway, which includes early detection, appropriate treatment, and continuous monitoring. The health care systems and implementation strategies designed to ensure the continuity of care exhibit significant overlap and can be harnessed efficiently and effectively to support both hypertension and diabetes patients. The care cascade is a model for evaluating patient retention across sequential stages of care required to achieve a successful treatment outcome [<xref ref-type="bibr" rid="ref6">6</xref>]. This model has sequential stages, including awareness, screening, diagnosis, appropriate management, and disease control, that patients navigate while accessing health care services. Acknowledging potential lapses at each stage, the care cascade model identifies critical stages where patients may disengage, hindering them from attaining disease control [<xref ref-type="bibr" rid="ref7">7</xref>]. The care cascade model was originally conceived for HIV care [<xref ref-type="bibr" rid="ref8">8</xref>]. It has since been extended to monitor and manage infectious diseases, such as hepatitis C [<xref ref-type="bibr" rid="ref9">9</xref>] and tuberculosis [<xref ref-type="bibr" rid="ref6">6</xref>], and has been more recently applied to NCDs [<xref ref-type="bibr" rid="ref10">10</xref>].</p>
      <p>The utility of studying the care cascade of hypertension and diabetes goes beyond the mere exploration of their clinical pathways. It encompasses a broader holistic perspective that includes not only clinical aspects but also the impact on health systems, the quality of life of affected individuals, and the efficiency of health care delivery. Cascade analysis for hypertension and diabetes can help understand the common factors that affect the care model in order to identify appropriate strategies to improve health care for these 2 conditions. However, there is limited evidence synthesis regarding the care cascade of hypertension and diabetes. Therefore, we performed a systematic scoping review with the goal of mapping and describing the current state of evidence on a global scale. We sought to understand the process of hypertension and diabetes management, identify the factors that influence each stage of the care cascade, and explore potential interventions that hold promise for improving care continuity. By synthesizing existing evidence, our findings seek to inform future research endeavors, propelling the advancement of management strategies for hypertension and diabetes.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study Design</title>
        <p>This scoping review was conducted following the stages of a scoping review by Arksey and O’Malley [<xref ref-type="bibr" rid="ref11">11</xref>] and was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) [<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      </sec>
      <sec>
        <title>Identifying the Research Questions</title>
        <p>This scoping review focused on mapping the existing evidence on the care cascade of hypertension and diabetes. The specific research questions were as follows:</p>
        <list list-type="order">
          <list-item>
            <p>How the care cascade model has been applied in hypertension and diabetes research?</p>
          </list-item>
          <list-item>
            <p>Which stage of the hypertension and diabetes care cascade has the current research in high-income countries (HICs) and LMICs primarily focused on?</p>
          </list-item>
          <list-item>
            <p>What are the barriers and facilitators of hypertension and diabetes care cascade completion?</p>
          </list-item>
          <list-item>
            <p>What strategies have been employed to improve retention in the hypertension and diabetes care cascade?</p>
          </list-item>
          <list-item>
            <p>What are the key knowledge gaps that remain in the literature about the hypertension and diabetes care cascade?</p>
          </list-item>
        </list>
      </sec>
      <sec>
        <title>Identifying Relevant Studies</title>
        <p>To identify relevant studies, a systematic search was conducted in MEDLINE, Embase, and Web of Science, using terms pertinent to hypertension, diabetes, and the specific stages of the care cascade. The framework of population, concept, and context was used to identify core concepts related to the research question and inform the search strategy [<xref ref-type="bibr" rid="ref13">13</xref>]. A complete overview of the search terms for each database is provided in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. The population of interest in this review was adults aged 18 years or older who had been screened for or diagnosed with hypertension or type 2 diabetes, as well as patients with hypertension or type 2 diabetes undergoing treatment or management. The key concept of the review was the hypertension and diabetes care cascade, with a focus on studies explicitly applying the cascade care model to one or more stages of screening, diagnosis, treatment, and control. Articles describing interventions targeting specific stages of the cascade or factors influencing interventions or outcomes of at least one stage of the care cascade were included. The review aimed to explore a broad range of influencing factors involving both barriers and facilitators, with all pertinent descriptions included, regardless of statistical associations. The contextual scope of this review was in both HICs and LMICs, where hypertension and diabetes care was provided. The timeframe for database searches spanned from January 2011 to January 2023 since the concept of the care cascade was introduced in 2011 [<xref ref-type="bibr" rid="ref8">8</xref>]. There was no restriction on publication language, allowing for an inclusive evaluation of relevant studies worldwide. The eligibility criteria are shown in <xref ref-type="boxed-text" rid="box1">Textbox 1</xref>.</p>
        <boxed-text id="box1" position="float">
          <title>Eligibility criteria for screening.</title>
          <list list-type="order">
            <list-item>
              <p>Population: Adults aged 18 years or older who had been screened for or diagnosed with hypertension or type 2 diabetes and patients with known hypertension or type 2 diabetes currently undergoing treatment or management.</p>
            </list-item>
            <list-item>
              <p>Concept: Hypertension and diabetes care cascade, with a focus on studies explicitly applying the cascade care model to one or more stages from awareness to control. Interventions that impact patient outcomes and factors that influence implementation outcomes and service outcomes within at least one stage of the care cascade.</p>
            </list-item>
            <list-item>
              <p>Context: No limitation. All clinical and primary care settings.</p>
            </list-item>
            <list-item>
              <p>Language: No limitation.</p>
            </list-item>
            <list-item>
              <p>Published between January 1, 2011, and January 17, 2023.</p>
            </list-item>
            <list-item>
              <p>Article type: Original articles and protocol papers, including cross-sectional studies, cohort studies, trials, and implementation studies published in peer-reviewed journals.</p>
            </list-item>
          </list>
        </boxed-text>
      </sec>
      <sec>
        <title>Study Selection</title>
        <p>All identified articles were imported into Covidence, and duplicates were removed. Screening proceeded through 2 distinct stages, where titles and abstracts were assessed independently by 4 researchers (JW, FT, XY, and ZW) in pairs, adhering to predefined inclusion and exclusion criteria to determine potential eligibility. In the event of disagreements, a collaborative discussion within the research team swiftly resolved any discrepancies. Subsequently, full-text screening followed a similar process, again involving 4 researchers (JW, FT, YY, and ZW) in pairs. Articles were excluded if they were (1) observing outcomes unrelated to hypertension and type 2 diabetes health care; (2) case reports, conference abstracts, editorials, commentaries, or reviews; and (3) unavailable in full text. Any unresolved discrepancies in article eligibility were resolved by group discussion until a consensus was reached. Notably, to glean insights into ongoing or planned projects and to identify potential interventions and relevant factors, study protocols were intentionally retained and not excluded in the scoping review.</p>
      </sec>
      <sec>
        <title>Charting the Data</title>
        <p>A data-charting form was created in Microsoft Excel and pilot tested with 15 articles to establish clarity and consistency in data extraction variables across reviewers. Data extraction was performed by 4 researchers (JW, FT, YY, and ZW). The extracted variables included title, author names, year of publication, study countries, disease of interest (hypertension, diabetes, or both), study method (quantitative, qualitative, or mixed method), study design (cross-sectional study, cohort study, trial, or implementation study), sample size, mean age of participants, stages of the care cascade involved, interventions aimed at improving retention, factors associated with stage completion, and reported outcomes. The care of hypertension and diabetes was divided into multiple stages of the cascade, including awareness, screening, diagnosis, linkage to care, treatment, medication adherence, and ultimately, disease control. The world’s economies were classified based on the World Bank classification as follows: low income, lower-middle income, upper-middle income, and high income [<xref ref-type="bibr" rid="ref14">14</xref>]. The outcomes were categorized into implementation outcomes, service outcomes, and client outcomes. Implementation outcomes encompassed aspects pertaining to the process of implementing interventions and services for hypertension and diabetes care. This included factors such as acceptability, adoption, appropriateness, cost, feasibility, fidelity, and sustainability of interventions to health care providers or patients. Service outcomes were those related to the quality and effectiveness of the health care services provided to patients with hypertension and diabetes, such as access to health care services, continuity of care, appropriateness of care, equity of service, and health care provider adherence to clinical guidelines. Client outcomes, on the other hand, delved into the impact of health services on patients’ health and clinical conditions, such as blood pressure and blood glucose control, reductions in cardiovascular risk factors, and improvements in overall quality of life. To ensure data accuracy and consistency, a senior researcher (XY) reviewed all extracted data. Any disagreements were resolved by consensus.</p>
      </sec>
      <sec>
        <title>Collating, Summarizing, and Reporting the Results</title>
        <p>Interventions and influencing factors were analyzed by cascade stages and focused diseases. Studies that reported multiple stages of the care cascade were included in the synthesis of each relevant stage. The resulting information was subjected to rigorous quantitative analysis, employing frequencies and percentages to elucidate key patterns and trends. Inductive content analysis was performed to generate themes regarding the barriers and facilitators for improving the care cascade in hypertension and diabetes management. The initial list of codes was grouped into categories and then themes against the supporting evidence. Throughout this process, subthemes and themes were discussed and refined within the research team.</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>This review does not involve human subject information, primary data collection, or any form of experimentation on individuals.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Characteristics of the Included Studies</title>
        <p>Of the 1321 unique articles identified for the title and abstract screening, 222 were retrieved for full-text review. Of these, 128 were included in the analysis after excluding 94 articles for various reasons (<xref rid="figure1" ref-type="fig">Figure 1</xref>).</p>
        <p>The 128 studies originated from 40 countries, with 42.2% (54/128) conducted in HICs (<xref rid="figure2" ref-type="fig">Figure 2</xref>). Of the 128 studies, 47 (36.7%) focused on hypertension care, 63 (49.2%) focused on diabetes care, and 18 (14.1%) reported on the care of both diseases. Most studies (104/128, 81.3%) employed quantitative methods. The majority were cross-sectional studies (70/128, 54.7%), followed by cohort studies (26/128, 20.3%). There were 24 (18.8%) trials evaluating interventions to promote retention in at least one cascade stage. Only 8 (6.3%) were implementation studies designed to systematically assess service delivery gaps and identify contextually appropriate solutions to address these bottlenecks. A total of 116 (90.6%) studies reported health receivers’ perspectives, and only 8 (6.3%) studies had health system perspectives. Most studies (83/128, 64.8%) reported client outcomes as primary outcomes, and they mainly focused on the measure of the effectiveness of disease control. Moreover, 16 (12.5%) studies reported service outcomes, and they mainly focused on the measure of satisfaction. Furthermore, 29 (22.7%) studies reported implementation outcomes, such as feasibility, cost, and adoption (<xref ref-type="table" rid="table1">Table 1</xref>). Detailed characteristics of the 128 included studies are summarized in <xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref> [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref131">131</xref>].</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram.</p>
          </caption>
          <graphic xlink:href="publichealth_v10i1e51802_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Map of studies included in the scoping review by country (N=40).</p>
          </caption>
          <graphic xlink:href="publichealth_v10i1e51802_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Summary of the characteristics of the included studies.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="620"/>
            <col width="0"/>
            <col width="350"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Characteristic</td>
                <td>Value (N=128), n (%)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="3">
                  <bold>Income level of countries</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>High income</td>
                <td colspan="2">54 (42.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Upper-middle income</td>
                <td colspan="2">25 (19.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Lower-middle income</td>
                <td colspan="2">38 (29.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Low income</td>
                <td colspan="2">11 (8.6)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Disease</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hypertension</td>
                <td colspan="2">47 (36.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Diabetes</td>
                <td colspan="2">63 (49.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hypertension and diabetes</td>
                <td colspan="2">18 (14.1)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Study design</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Cross-sectional</td>
                <td colspan="2">70 (54.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Cohort</td>
                <td colspan="2">26 (20.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Interventional</td>
                <td colspan="2">24 (18.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Implementation</td>
                <td colspan="2">8 (6.2)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Participants</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Health receivers</td>
                <td colspan="2">116 (90.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Health providers</td>
                <td colspan="2">4 (3.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Health receivers and providers</td>
                <td colspan="2">8 (6.3)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Research methods</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Quantitative</td>
                <td colspan="2">104 (81.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Qualitative</td>
                <td colspan="2">11 (8.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Mixed</td>
                <td colspan="2">13 (10.1)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Outcomes</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Implementation</td>
                <td colspan="2">29 (22.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Service</td>
                <td colspan="2">16 (12.5)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Client</td>
                <td colspan="2">83 (64.8)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Completion of the Hypertension and Diabetes Care Cascade</title>
        <p>Only 3 studies documented all 7 cascade stages, with 2 of them focusing on hypertension management and 1 addressing both hypertension and diabetes [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref132">132</xref>]. They were all population-based cross-sectional surveys aimed to describe disease prevalence and quantify the unmet need for hypertension and diabetes care. The remaining studies included in our analysis examined specific stages of the care cascade. Among the studies focusing on hypertension, 13 highlighted increasing awareness and knowledge related to hypertension, 8 addressed the importance of screening through blood pressure measurements, 14 focused on the diagnosis of hypertension, 13 explored the linkage to care, 34 discussed the initiation of treatment, 16 emphasized medication adherence, and 26 explored blood pressure management and control. For diabetes care, 8 studies addressed the critical aspect of awareness, 16 concentrated on screening, 20 discussed the diagnosis of diabetes, 21 explored the linkage to care, 38 focused on treatment interventions, 23 examined medication adherence, and 37 investigated the factors impacting diabetes control. In addition, 18 studies adopted an integrated approach, encompassing care for both hypertension and diabetes. Among these studies, 6 addressed awareness, 1 addressed screening, 4 addressed diagnosis, 10 addressed linkage to care, 9 addressed treatment, 2 addressed medication adherence, and 10 addressed control (<xref ref-type="table" rid="table2">Table 2</xref>).</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Studies across the stages of the care cascade.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="250"/>
            <col width="240"/>
            <col width="240"/>
            <col width="270"/>
            <thead>
              <tr valign="top">
                <td>Stage of the care cascade</td>
                <td colspan="3">Value, n (%)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hypertension (n=47)</td>
                <td>Diabetes (n=63)</td>
                <td>Hypertension and diabetes (n=18)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Awareness</td>
                <td>13 (27.7)</td>
                <td>8 (12.7)</td>
                <td>6 (33.3)</td>
              </tr>
              <tr valign="top">
                <td>Screening</td>
                <td>8 (17.0)</td>
                <td>16 (25.4)</td>
                <td>1 (5.6)</td>
              </tr>
              <tr valign="top">
                <td>Diagnosis</td>
                <td>14 (29.8)</td>
                <td>20 (31.7)</td>
                <td>4 (22.2)</td>
              </tr>
              <tr valign="top">
                <td>Linkage to care</td>
                <td>13 (27.7)</td>
                <td>21 (33.3)</td>
                <td>10 (55.6)</td>
              </tr>
              <tr valign="top">
                <td>Treatment</td>
                <td>34 (72.3)</td>
                <td>38 (60.3)</td>
                <td>9 (50.0)</td>
              </tr>
              <tr valign="top">
                <td>Medication adherence</td>
                <td>16 (34.0)</td>
                <td>23 (36.5)</td>
                <td>2 (11.1)</td>
              </tr>
              <tr valign="top">
                <td>Control</td>
                <td>26 (55.3)</td>
                <td>37 (58.7)</td>
                <td> 10 (55.6)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Interventions of the Hypertension and Diabetes Care Cascade</title>
        <sec>
          <title>Awareness</title>
          <p>Various interventions were identified to enhance the knowledge of disease prevention. Health education programs for hypertension and diabetes were emphasized as continuous efforts to support ongoing management and care [<xref ref-type="bibr" rid="ref17">17</xref>]. The provision of comprehensive education was achieved through training classes and consulting at nutrition-based shared medical appointments [<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref19">19</xref>]. Automated outreach call services with the integration of electronic health records emerged as effective approaches [<xref ref-type="bibr" rid="ref20">20</xref>]. Out-of-hospital continuous nursing interventions and community awareness campaigns were used to augment the awareness [<xref ref-type="bibr" rid="ref21">21</xref>]. Dissemination of awareness campaign information occurred through various channels, including the internet, public awareness events, and targeted home visits [<xref ref-type="bibr" rid="ref22">22</xref>].</p>
        </sec>
        <sec>
          <title>Screening</title>
          <p>In the pursuit of enhancing the screening process for hypertension and diabetes, a diverse array of interventions has emerged. The Sustainable East Africa Research in Community Health (SEARCH) study implemented a community health campaign that offered universal adult screening, rendering screening services widely accessible [<xref ref-type="bibr" rid="ref23">23</xref>]. Moreover, innovative approaches like home-based screening interventions empowered individuals by providing convenience and ease of access to early detection services [<xref ref-type="bibr" rid="ref24">24</xref>]. Early diabetes detection was prioritized through specialized medical check-ups, facilitating timely intervention [<xref ref-type="bibr" rid="ref22">22</xref>]. The Integrated Tracking, Referral, and Electronic Decision Support and Care Coordination (I-TREC) program incorporated cutting-edge technologies, including electronic case record forms and clinical decision support systems, streamlining patient information and offering guideline-based screening. Enhanced training for health care providers in NCD management and lifestyle interventions further fortified the screening process [<xref ref-type="bibr" rid="ref25">25</xref>]. Lastly, efforts were made to strengthen health education and outreach services, particularly targeting individuals without symptoms, to foster a proactive approach to screening [<xref ref-type="bibr" rid="ref26">26</xref>].</p>
        </sec>
        <sec>
          <title>Diagnosis</title>
          <p>Effective interventions have been deployed to enhance the diagnosis of hypertension and diabetes. Continuous and coordinated care among multi-level health institutions was emphasized to enable timely diagnosis and consistent follow-up for hypertension and diabetes. Telephone peer coaching provided personalized support through weekly calls, aiding in timely diagnosis and empowering patients to engage in self-care [<xref ref-type="bibr" rid="ref27">27</xref>]. Patient-centered integrated care with advanced technologies, such as electronic case record forms and clinical decision support systems, streamlined patient information and referrals to deliver tailored guideline-based care. Enhanced training for primary health care providers further strengthened timely diagnosis among patients [<xref ref-type="bibr" rid="ref25">25</xref>].</p>
        </sec>
        <sec>
          <title>Linkage to Care</title>
          <p>Follow-up within 6 weeks at NCD clinics for participants with hypertension, coupled with the use of diabetes self-management record sheets and telephone reinforcement, has shown positive outcomes [<xref ref-type="bibr" rid="ref133">133</xref>]. Additionally, 8-week training classes encompassing diverse self-care aspects have demonstrated effectiveness [<xref ref-type="bibr" rid="ref18">18</xref>]. Mobile health applications [<xref ref-type="bibr" rid="ref28">28</xref>], shared medical appointments [<xref ref-type="bibr" rid="ref29">29</xref>], telephone peer coaching [<xref ref-type="bibr" rid="ref27">27</xref>], and regular general practitioner contact [<xref ref-type="bibr" rid="ref30">30</xref>] have proven to be successful strategies for ensuring a smooth connection to care. Furthermore, providing training in communication skills and self-care education to health providers, along with reduced workload and increased availability of competent diabetes specialist nurses, has contributed to enhancing the linkage to care [<xref ref-type="bibr" rid="ref31">31</xref>]. Educational group programs, decision support tools, and feedback reports for primary care professionals further reinforced the process [<xref ref-type="bibr" rid="ref32">32</xref>]. Institution-level continuity of ambulatory care [<xref ref-type="bibr" rid="ref33">33</xref>], standardized “self-care” programs [<xref ref-type="bibr" rid="ref22">22</xref>], and patient-held health records [<xref ref-type="bibr" rid="ref34">34</xref>] have also played pivotal roles in promoting seamless linkage to essential health care services among patients diagnosed with hypertension and diabetes.</p>
        </sec>
        <sec>
          <title>Treatment</title>
          <p>Various interventions have been explored to improve the treatment process for patients with hypertension and diabetes. Lifestyle interventions, including physical activity promotion and heart-healthy diets, have shown promise in improving treatment outcomes [<xref ref-type="bibr" rid="ref35">35</xref>]. Collaborative care models involving pharmacists and physicians demonstrated positive effects on medication therapy management and overall patient care [<xref ref-type="bibr" rid="ref36">36</xref>]. Self-monitoring of blood pressure is vital for facilitating appropriate treatment [<xref ref-type="bibr" rid="ref37">37</xref>]. Additionally, interventions targeting medication affordability [<xref ref-type="bibr" rid="ref38">38</xref>] and continuity of care [<xref ref-type="bibr" rid="ref39">39</xref>-<xref ref-type="bibr" rid="ref41">41</xref>,<xref ref-type="bibr" rid="ref134">134</xref>] play crucial roles in ensuring optimal treatment adherence. Telehealth and digital interventions, such as continuous remote care and mobile health applications, are being explored for improved treatment accessibility and engagement [<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref135">135</xref>]. Integrated care models, employing multidisciplinary teams and decision support tools, have yielded promising outcomes in coordinating comprehensive patient care [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref136">136</xref>]. Targeted education for patients and health care providers can effectively enhance communication and self-care skills [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]. Moreover, financial incentive programs, like pay-for-performance schemes, have encouraged optimal health care delivery and reimbursement [<xref ref-type="bibr" rid="ref42">42</xref>].</p>
        </sec>
        <sec>
          <title>Medication Adherence</title>
          <p>A range of interventions has been investigated to optimize medication adherence in patients with hypertension and diabetes. Community-based interventions with patient education, recall services, and reduced out-of-pocket payments have shown promise in promoting adherence [<xref ref-type="bibr" rid="ref43">43</xref>]. Self-measured blood pressure monitoring and chronic disease management programs in primary care settings facilitated continuous and comprehensive patient care [<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]. Telephone peer coaching [<xref ref-type="bibr" rid="ref27">27</xref>], regular general practitioner contact [<xref ref-type="bibr" rid="ref30">30</xref>], and continuity of care initiatives [<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref46">46</xref>,<xref ref-type="bibr" rid="ref134">134</xref>] have also demonstrated positive effects on medication adherence. Collaborative care models, which involve patient-centered coordinated care, referral systems, and diabetes education, have yielded favorable results [<xref ref-type="bibr" rid="ref47">47</xref>]. Additionally, interventions, such as medication co-payment schemes, enhanced counseling, and training for health care providers in communication skills, have reinforced medication adherence efforts [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]. Patient and provider engagement programs, along with pay-for-performance initiatives, have also incentivized optimal medication adherence [<xref ref-type="bibr" rid="ref32">32</xref>,<xref ref-type="bibr" rid="ref42">42</xref>]. Integrating pharmacists into multidisciplinary care teams has enhanced medication management and adherence [<xref ref-type="bibr" rid="ref136">136</xref>].</p>
        </sec>
        <sec>
          <title>Control</title>
          <p>Interventions, including multidisciplinary collaboration, patient education, and technology integration, were adopted to enhance hypertension and diabetes control. The integration of pharmacists into care teams and the transition to specialized diabetes physicians can optimize disease management [<xref ref-type="bibr" rid="ref49">49</xref>,<xref ref-type="bibr" rid="ref50">50</xref>,<xref ref-type="bibr" rid="ref136">136</xref>]. For instance, pharmacist-physician collaborative practice models have shown promise through features like shared medical records, defined interprofessional roles, frequent follow-ups, and collaborative practice agreements [<xref ref-type="bibr" rid="ref50">50</xref>]. Structured educational programs, both for patients and primary care professionals, offer essential knowledge and support, such as tailored SMS text message communication and telephone peer coaching [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref51">51</xref>]. Patient health records and electronic decision support were used to improve the continuity of care and enable tailored interventions [<xref ref-type="bibr" rid="ref34">34</xref>]. Additionally, integrated interventions like the EMPOWER-PAR program, grounded in the Chronic Care Model, made contributions to advancing disease control, even in the face of challenges related to health care system constraints [<xref ref-type="bibr" rid="ref137">137</xref>].</p>
        </sec>
      </sec>
      <sec>
        <title>Barriers and Facilitators of Completing Different Stages of the Care Cascade</title>
        <p>In the completion of the hypertension and diabetes care cascade, several barriers and facilitators were identified, encompassing patient-level and system-level factors (<xref ref-type="table" rid="table3">Table 3</xref>). Patient-level barriers included factors like low socioeconomic status, unhealthy lifestyle choices, and limited health literacy, hindering effective management. Misconceptions about disease and treatment, high treatment costs, and fear of diagnosis also impeded the care progress. At the system level, inadequate resources, heavy workloads, limited capacity in primary care, and a fragmented health system were identified as significant obstacles to effective care.</p>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Patient-level and system-level barriers and facilitators of completing different stages of the care cascade in both high-income countries and low- and middle-income countries.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="80"/>
            <col width="440"/>
            <col width="450"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Stage and country type</td>
                <td>Facilitators</td>
                <td>Barriers</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="3">
                  <bold>Awareness</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs<sup>a</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Young age [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref132">132</xref>], female sex [<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref53">53</xref>], and high socioeconomic status [<xref ref-type="bibr" rid="ref54">54</xref>,<xref ref-type="bibr" rid="ref132">132</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Male sex [<xref ref-type="bibr" rid="ref55">55</xref>], low income [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref56">56</xref>], poor health literacy [<xref ref-type="bibr" rid="ref57">57</xref>], minority group [<xref ref-type="bibr" rid="ref58">58</xref>], and living in resource-limited areas [<xref ref-type="bibr" rid="ref55">55</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs<sup>b</sup></td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Aged [<xref ref-type="bibr" rid="ref53">53</xref>,<xref ref-type="bibr" rid="ref59">59</xref>], female sex [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref138">138</xref>], high socioeconomic status [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref60">60</xref>], overweight and obesity [<xref ref-type="bibr" rid="ref59">59</xref>-<xref ref-type="bibr" rid="ref61">61</xref>], unhealthy lifestyle [<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref60">60</xref>], and multimorbidity [<xref ref-type="bibr" rid="ref61">61</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Male sex [<xref ref-type="bibr" rid="ref60">60</xref>], never married [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref60">60</xref>], Hispanic adults [<xref ref-type="bibr" rid="ref58">58</xref>], and Asian adults [<xref ref-type="bibr" rid="ref58">58</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Screening</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Female sex [<xref ref-type="bibr" rid="ref62">62</xref>-<xref ref-type="bibr" rid="ref64">64</xref>], unemployed [<xref ref-type="bibr" rid="ref61">61</xref>], and single [<xref ref-type="bibr" rid="ref61">61</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Low socioeconomic group [<xref ref-type="bibr" rid="ref15">15</xref>], multimorbidity [<xref ref-type="bibr" rid="ref65">65</xref>], and minority group [<xref ref-type="bibr" rid="ref62">62</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Under the age of 25 years [<xref ref-type="bibr" rid="ref66">66</xref>] and high socioeconomic group [<xref ref-type="bibr" rid="ref53">53</xref>,<xref ref-type="bibr" rid="ref60">60</xref>]; Use of antenatal care services [<xref ref-type="bibr" rid="ref67">67</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Low socioeconomic group [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref56">56</xref>], unhealthy lifestyle [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref139">139</xref>], and multimorbidity [<xref ref-type="bibr" rid="ref65">65</xref>]; Not feeling at risk of hypertension [<xref ref-type="bibr" rid="ref67">67</xref>]; Not aware of screening services [<xref ref-type="bibr" rid="ref67">67</xref>]; Low ability to pay for health care [<xref ref-type="bibr" rid="ref67">67</xref>]; Preference for traditional healers [<xref ref-type="bibr" rid="ref67">67</xref>]; Perceiving hypertension as a normalized condition [<xref ref-type="bibr" rid="ref67">67</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Diagnosis</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: High socioeconomic group [<xref ref-type="bibr" rid="ref56">56</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Male sex [<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref132">132</xref>], living alone [<xref ref-type="bibr" rid="ref132">132</xref>], multimorbidity [<xref ref-type="bibr" rid="ref69">69</xref>], unhealthy lifestyle [<xref ref-type="bibr" rid="ref132">132</xref>], and living in resource-limited areas [<xref ref-type="bibr" rid="ref70">70</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Aged [<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref71">71</xref>-<xref ref-type="bibr" rid="ref73">73</xref>], overweight or obesity [<xref ref-type="bibr" rid="ref63">63</xref>,<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref71">71</xref>,<xref ref-type="bibr" rid="ref74">74</xref>], and presence of other comorbidities [<xref ref-type="bibr" rid="ref71">71</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Characteristics of individuals: male sex [<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref69">69</xref>,<xref ref-type="bibr" rid="ref73">73</xref>], low socioeconomic group [<xref ref-type="bibr" rid="ref72">72</xref>,<xref ref-type="bibr" rid="ref75">75</xref>], and unhealthy lifestyle [<xref ref-type="bibr" rid="ref63">63</xref>]; Lack of understanding regarding the importance of following a referral after a positive screening result [<xref ref-type="bibr" rid="ref76">76</xref>]; Unaffordable health care services [<xref ref-type="bibr" rid="ref67">67</xref>]; Fear of diagnosis, refusal to accept illness, and noncompliance with referrals [<xref ref-type="bibr" rid="ref67">67</xref>]; Influence of culture and values, including gender norms [<xref ref-type="bibr" rid="ref69">69</xref>]; Conflicting time with health facility opening hours [<xref ref-type="bibr" rid="ref69">69</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Shortage of physicians [<xref ref-type="bibr" rid="ref75">75</xref>]; Shortage of health facilities [<xref ref-type="bibr" rid="ref69">69</xref>,<xref ref-type="bibr" rid="ref76">76</xref>]; Lack of diagnostic equipment and testing capabilities [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref76">76</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Linkage to care</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: High socioeconomic status [<xref ref-type="bibr" rid="ref77">77</xref>] and female sex [<xref ref-type="bibr" rid="ref77">77</xref>]; Regular clinic visit (due to smoke) [<xref ref-type="bibr" rid="ref65">65</xref>]; Involvement in other health programs [<xref ref-type="bibr" rid="ref77">77</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Presence of a national or local chronic disease management program [<xref ref-type="bibr" rid="ref78">78</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Male sex [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref77">77</xref>], no health insurance [<xref ref-type="bibr" rid="ref79">79</xref>], and low education level [<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref134">134</xref>]; Presence of other diseases that affect physical activity [<xref ref-type="bibr" rid="ref134">134</xref>]; Language barriers [<xref ref-type="bibr" rid="ref31">31</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Heavy workload affecting patient care [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref77">77</xref>]; Inadequate collaboration among health care team members [<xref ref-type="bibr" rid="ref31">31</xref>]; Providers’ frustration and aggressive attitudes toward patients [<xref ref-type="bibr" rid="ref31">31</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: High awareness [<xref ref-type="bibr" rid="ref80">80</xref>,<xref ref-type="bibr" rid="ref81">81</xref>]; Social support or involvement of patients’ relatives [<xref ref-type="bibr" rid="ref81">81</xref>-<xref ref-type="bibr" rid="ref83">83</xref>]; Context-specific diabetes education and educational materials [<xref ref-type="bibr" rid="ref84">84</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Without health insurance [<xref ref-type="bibr" rid="ref80">80</xref>]; Misconceptions about medications [<xref ref-type="bibr" rid="ref85">85</xref>]; Cultural beliefs [<xref ref-type="bibr" rid="ref85">85</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Absence of guidelines for hypertension and diabetes management [<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref44">44</xref>]; Insufficient essential resources and infrastructure [<xref ref-type="bibr" rid="ref84">84</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Treatment</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Young age [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref72">72</xref>], female sex [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref62">62</xref>], White ethnicity [<xref ref-type="bibr" rid="ref52">52</xref>], and high health literacy [<xref ref-type="bibr" rid="ref80">80</xref>]; Medicare beneficiary [<xref ref-type="bibr" rid="ref20">20</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Presence of a chronic disease management program [<xref ref-type="bibr" rid="ref44">44</xref>,<xref ref-type="bibr" rid="ref78">78</xref>]; Home delivery of medication [<xref ref-type="bibr" rid="ref86">86</xref>]; Good doctor-patient relationship [<xref ref-type="bibr" rid="ref87">87</xref>,<xref ref-type="bibr" rid="ref140">140</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Male sex [<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref80">80</xref>], no medical insurance [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref80">80</xref>], low education level [<xref ref-type="bibr" rid="ref80">80</xref>], unhealthy lifestyle [<xref ref-type="bibr" rid="ref88">88</xref>], multimorbidity [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref65">65</xref>,<xref ref-type="bibr" rid="ref80">80</xref>], and language barriers [<xref ref-type="bibr" rid="ref31">31</xref>]; Psychological fear of treatment [<xref ref-type="bibr" rid="ref140">140</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Health care mistreatment attributed to ethnic discrimination [<xref ref-type="bibr" rid="ref89">89</xref>]; Heavy workload of health providers [<xref ref-type="bibr" rid="ref34">34</xref>,<xref ref-type="bibr" rid="ref90">90</xref>,<xref ref-type="bibr" rid="ref140">140</xref>]; Lack of collaborative strategies among health care teams [<xref ref-type="bibr" rid="ref140">140</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: High education [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref73">73</xref>], high income [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref56">56</xref>,<xref ref-type="bibr" rid="ref60">60</xref>], and overweight and obesity [<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref91">91</xref>]; Well-designed education and educational materials [<xref ref-type="bibr" rid="ref84">84</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Physician density [<xref ref-type="bibr" rid="ref75">75</xref>]; Doctors’ interpersonal behaviors and technical competence [<xref ref-type="bibr" rid="ref92">92</xref>]; Well-trained health workforce [<xref ref-type="bibr" rid="ref84">84</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Individual characteristics: never married [<xref ref-type="bibr" rid="ref60">60</xref>], occupation [<xref ref-type="bibr" rid="ref66">66</xref>], poor socioeconomic status [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref83">83</xref>], poor comprehension [<xref ref-type="bibr" rid="ref83">83</xref>], unhealthy lifestyle [<xref ref-type="bibr" rid="ref66">66</xref>], and living in resource-limited areas [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref53">53</xref>,<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref64">64</xref>,<xref ref-type="bibr" rid="ref70">70</xref>]; Misconceptions, lack of confidence, and fear about medications [<xref ref-type="bibr" rid="ref85">85</xref>,<xref ref-type="bibr" rid="ref141">141</xref>]; High treatment costs and low ability to pay for medication or transport [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref67">67</xref>]; Poor understanding of asymptomatic conditions requiring treatment [<xref ref-type="bibr" rid="ref67">67</xref>]; Low risk awareness of nontreatment consequences [<xref ref-type="bibr" rid="ref67">67</xref>]; Wrong understanding of the disease and its therapy [<xref ref-type="bibr" rid="ref93">93</xref>]; Lack of social support from peers, family, and the community [<xref ref-type="bibr" rid="ref93">93</xref>]; High time cost of seeking care [<xref ref-type="bibr" rid="ref93">93</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Poor monitoring and lack of a patient follow-up protocol [<xref ref-type="bibr" rid="ref69">69</xref>,<xref ref-type="bibr" rid="ref94">94</xref>]; Ineffective medication and physician inertia [<xref ref-type="bibr" rid="ref69">69</xref>,<xref ref-type="bibr" rid="ref94">94</xref>]; Ambiguous and inappropriate clinical guidelines in under-resourced areas [<xref ref-type="bibr" rid="ref93">93</xref>]; Shortage of human resources and equipment for blood pressure monitoring [<xref ref-type="bibr" rid="ref93">93</xref>]; Limited knowledge and understanding among health care workers [<xref ref-type="bibr" rid="ref76">76</xref>]; Lack of essential clinical facilities and adequate training of health care workers [<xref ref-type="bibr" rid="ref76">76</xref>,<xref ref-type="bibr" rid="ref84">84</xref>]; Absence of organized diabetes services within health care facilities [<xref ref-type="bibr" rid="ref83">83</xref>]; Rarely receiving feedback on patient management from higher-level facilities [<xref ref-type="bibr" rid="ref83">83</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Medication adherence</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Female sex [<xref ref-type="bibr" rid="ref80">80</xref>,<xref ref-type="bibr" rid="ref95">95</xref>], high income [<xref ref-type="bibr" rid="ref56">56</xref>,<xref ref-type="bibr" rid="ref95">95</xref>], and high level of hypertension and diabetes knowledge [<xref ref-type="bibr" rid="ref95">95</xref>,<xref ref-type="bibr" rid="ref96">96</xref>]; Less negative general beliefs about medications and few concerns about medications [<xref ref-type="bibr" rid="ref95">95</xref>]</p>
                    </list-item>
                  </list>
                  <break/>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Lower socioeconomic group [<xref ref-type="bibr" rid="ref95">95</xref>]; Not confident about community pharmacists [<xref ref-type="bibr" rid="ref141">141</xref>]; Fear about medications [<xref ref-type="bibr" rid="ref85">85</xref>]; Cultural beliefs influencing management [<xref ref-type="bibr" rid="ref31">31</xref>]; Multimorbidity [<xref ref-type="bibr" rid="ref80">80</xref>]; Lack of knowledge leading to misconceptions about disease management [<xref ref-type="bibr" rid="ref141">141</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Low primary care visits [<xref ref-type="bibr" rid="ref80">80</xref>]; Ethnic discrimination in health care settings [<xref ref-type="bibr" rid="ref89">89</xref>]; Heavy workload [<xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref90">90</xref>]; Lack of a teamwork approach [<xref ref-type="bibr" rid="ref31">31</xref>]; Insufficient availability of essential medicines [<xref ref-type="bibr" rid="ref38">38</xref>]; Ambiguous and inappropriate clinical guidelines [<xref ref-type="bibr" rid="ref93">93</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Living in urban areas [<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref45">45</xref>,<xref ref-type="bibr" rid="ref53">53</xref>]</p>
                    </list-item>
                  </list>
                  <break/>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: High cost of medication [<xref ref-type="bibr" rid="ref69">69</xref>]; Personal and cultural beliefs [<xref ref-type="bibr" rid="ref69">69</xref>]; Wrong understanding of a disease and its therapy among patients [<xref ref-type="bibr" rid="ref93">93</xref>]; Lack of support from peers, family, providers, and the community [<xref ref-type="bibr" rid="ref93">93</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <bold>Control</bold>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Young age [<xref ref-type="bibr" rid="ref52">52</xref>], female sex [<xref ref-type="bibr" rid="ref95">95</xref>], high income [<xref ref-type="bibr" rid="ref74">74</xref>], and being of White ethnicity [<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref58">58</xref>]; High level of hypertension and diabetes knowledge [<xref ref-type="bibr" rid="ref95">95</xref>]; Partner involvement in care [<xref ref-type="bibr" rid="ref82">82</xref>]; Better self-perceived health status [<xref ref-type="bibr" rid="ref95">95</xref>]; Healthy lifestyle practices: regular exercise and weight management [<xref ref-type="bibr" rid="ref97">97</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Trust between physicians and patients [<xref ref-type="bibr" rid="ref98">98</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Characteristics of individuals: male sex [<xref ref-type="bibr" rid="ref56">56</xref>], ethnic minority [<xref ref-type="bibr" rid="ref20">20</xref>], and low health literacy [<xref ref-type="bibr" rid="ref96">96</xref>]; Lack of access to medical care and medications [<xref ref-type="bibr" rid="ref50">50</xref>]; Using nonoptimal doses of antihypertensive medications [<xref ref-type="bibr" rid="ref65">65</xref>]; Experiencing adverse events associated with medications [<xref ref-type="bibr" rid="ref65">65</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>LMICs</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: High income [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref54">54</xref>,<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref74">74</xref>], older age [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref72">72</xref>], marriage [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref54">54</xref>], fewer complications [<xref ref-type="bibr" rid="ref65">65</xref>], and health insurance [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]; Healthy lifestyle: adopting dietary modifications or engaging in regular exercise [<xref ref-type="bibr" rid="ref54">54</xref>,<xref ref-type="bibr" rid="ref99">99</xref>]; Receiving long prescribed medications for hypertension and diabetes [<xref ref-type="bibr" rid="ref71">71</xref>]; Belief in treatment efficacy and having family support [<xref ref-type="bibr" rid="ref67">67</xref>]; Timely monitoring of blood pressure and blood glucose [<xref ref-type="bibr" rid="ref19">19</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Adequate medications [<xref ref-type="bibr" rid="ref84">84</xref>]; High physician density [<xref ref-type="bibr" rid="ref75">75</xref>]</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Patient-level: Age ≥75 years [<xref ref-type="bibr" rid="ref74">74</xref>], male sex [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref100">100</xref>], overweight [<xref ref-type="bibr" rid="ref59">59</xref>,<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref100">100</xref>], low income [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref67">67</xref>], specific occupations [<xref ref-type="bibr" rid="ref66">66</xref>], and low education level [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref68">68</xref>]; Coexisting chronic conditions [<xref ref-type="bibr" rid="ref68">68</xref>,<xref ref-type="bibr" rid="ref97">97</xref>]; Living in rural or resource-limited areas [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref60">60</xref>]; Unhealthy lifestyle: smoking and alcohol consumption [<xref ref-type="bibr" rid="ref66">66</xref>,<xref ref-type="bibr" rid="ref97">97</xref>,<xref ref-type="bibr" rid="ref100">100</xref>]; Lack of family/social support [<xref ref-type="bibr" rid="ref57">57</xref>]; Limited awareness of the lifelong nature of the condition [<xref ref-type="bibr" rid="ref67">67</xref>]; Complexity of the intervention [<xref ref-type="bibr" rid="ref68">68</xref>]; Insufficient patient education about the importance of clinical management [<xref ref-type="bibr" rid="ref67">67</xref>]; Poor communication of treatment monitoring results [<xref ref-type="bibr" rid="ref67">67</xref>]</p>
                    </list-item>
                    <list-item>
                      <p>System-level: Long waiting times at clinics [<xref ref-type="bibr" rid="ref67">67</xref>]; Negative staff attitudes toward patients [<xref ref-type="bibr" rid="ref67">67</xref>]; Weak monitoring schedules [<xref ref-type="bibr" rid="ref67">67</xref>]; Lack of medical resources [<xref ref-type="bibr" rid="ref84">84</xref>]</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>HIC: high-income country.</p>
            </fn>
            <fn id="table3fn2">
              <p><sup>b</sup>LMIC: low- and middle-income country.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Conversely, various patient-level facilitators positively impacted the cascade. At the patient level, characteristics like high socioeconomic status, positive health behaviors, and strong belief in treatment efficacy played vital roles. Furthermore, timely monitoring of blood pressure and glucose levels, engagement in health programs, and partner involvement were found to be associated with improved outcomes. System-level facilitators included a well-trained health workforce, existing chronic disease management programs, and improved access to medications.</p>
        <p>Notably, certain barriers and facilitators were context-specific, with diverse prominence in HICs and LMICs. For instance, lack of understanding and misconceptions were more prevalent in LMICs, while the influence of cultural beliefs and minority status was more pronounced in HICs. Physician density and adequate resources were often noted as facilitators in HICs, while social support and tailored diabetes education were emphasized in LMICs.</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>This scoping review identified a substantial body of literature investigating the hypertension and diabetes care cascade in both HICs and LMICs. While most studies provided descriptive snapshots of each cascade stage, only a limited number of studies applied implementation cascade analysis to explore the barriers and facilitators of patient retention. Furthermore, there was a paucity of studies evaluating the effects of interventions to bridge gaps between cascade stages. In addition to analyzing the characteristics of the included studies, this scoping review comprehensively summarized key interventions, facilitators, and barriers associated with completing cascade stages. These findings provide critical insights into the existing evidence on hypertension and diabetes management, offering valuable directions for enhancing health care delivery for these chronic conditions.</p>
      <p>The results of this scoping review have revealed a notable gap in the existing literature concerning the entire continuum of all stages in the hypertension and diabetes care cascade. The majority of studies predominantly focused on treatment and control for both hypertension and diabetes care. There was a relative paucity of studies examining the stages before treatment initiation despite evidence suggesting that over 50% of patients with hypertension and diabetes who could benefit from treatment never start medication [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref72">72</xref>]. These pretreatment losses accounted for a much greater reduction in effective care than nonadherence to medication [<xref ref-type="bibr" rid="ref101">101</xref>]. Modeling studies showed that treatment losses earlier on can result in a greater overall reduction in the public health benefit of hypertension management [<xref ref-type="bibr" rid="ref142">142</xref>,<xref ref-type="bibr" rid="ref143">143</xref>]. Potential gaps exist in identifying problems and developing strategies to improve awareness, screening, and diagnosis of the 2 diseases. Based on microsimulation modeling, it is estimated that scaling up diagnosis, treatment, and control of diabetes to achieve a hypothetical 80% target for each component of the care cascade would be highly cost-effective [<xref ref-type="bibr" rid="ref143">143</xref>,<xref ref-type="bibr" rid="ref144">144</xref>]. Regarding interventions to improve retention across cascade stages, the review emphasizes the importance of awareness campaigns and health education programs to improve patient retention in care and medication adherence. Moreover, interventions targeting the health system (ie, multidiscipline collaborative care, training for primary health care providers, and increasing access to medications) showed promise in improving diagnosis and treatment outcomes. Other innovations in hypertension and diabetes service delivery have been developed and could further enhance quality, but they require further study and proof of effectiveness at scale. Examples include electronic case record–based clinical decision support systems and telephone peer coaching [<xref ref-type="bibr" rid="ref27">27</xref>,<xref ref-type="bibr" rid="ref32">32</xref>]. There was a relative dearth of studies incorporating informatics, internet techniques, and mass media to capture public opinions and enhance patient engagement in the management of these conditions. These technologies and communication strategies have only recently gained prominence, and their full potential in the context of hypertension and diabetes care has not yet been comprehensively explored. Our findings parallel another review about the implementation of telemedicine interventions for hypertension and diabetes, indicating that successful implementation of these interventions necessitates comprehensive efforts at all stages of planning, execution, engagement, and reflection and evaluation [<xref ref-type="bibr" rid="ref145">145</xref>]. The adaptation of interventions to diverse contexts, particularly in LMICs with fragile health systems, warrants future studies. Implementation studies are essential to develop context-specific strategies for incorporating evidence-based interventions effectively into practice [<xref ref-type="bibr" rid="ref146">146</xref>].</p>
      <p>The review also revealed several facilitators and barriers affecting different stages of the care cascade across different income contexts. These insights are of paramount importance, serving as a compass for forthcoming investigations. Future studies can harness these nuanced factors to craft precise context-specific strategies that seamlessly integrate evidence-based interventions into clinical practice. Tailored interventions that address specific patient characteristics, cultural beliefs, and health system constraints are pivotal to enhancing care delivery. The implementation of evidence-based strategies, coupled with the cultivation of patient-centered care, paves the way for health care systems to embark on a journey toward equitable and ameliorated outcomes in hypertension and diabetes management, thereby catering to the unique needs of diverse patient populations.</p>
      <p>This review highlights that the provision of integrated care for individuals with both hypertension and diabetes within primary care settings has the potential to be a judicious and efficient approach. The rationale behind this integration lies in the substantial overlap between the risk factors and management pathways of these 2 prevalent chronic conditions. This shared etiological foundation emphasizes the importance of addressing common risk factors, such as dietary patterns, physical activity levels, smoking habits, and weight management, concurrently. By focusing on integrated interventions that aim to modify these shared risk factors, primary care providers can foster holistic and synergistic management. Moreover, primary care providers play a pivotal role in early diagnosis, timely initiation of treatment, and regular follow-up. This proactive approach is essential for mitigating the burden of hypertension and diabetes, as well as their associated complications.</p>
      <p>Our study has several strengths. We identified studies from a wide range of geographic and care delivery settings. In addition, this review expands upon the evidence regarding interventions throughout the hypertension and diabetes care cascade, offering insights into diverse strategies to address each stage. By encompassing studies conducted in both HICs and LMICs, this review captures the global perspective on interventions for hypertension and diabetes care. This strengthens the generalizability of the findings and provides insights into the varying challenges and approaches across different health care settings. While this scoping review offers valuable insights into the extensive body of literature concerning the hypertension and diabetes care cascade, it is important to recognize the inherent limitations of this approach compared to systematic reviews and meta-analyses. This breadth of mapping key concepts across diverse domains and disciplines might come at the cost of depth. The interventions described in our review predominantly featured descriptive accounts in the included reports, with the absence of a quantitative assessment of intervention effects, which is important for informing designs in other settings but does not allow for inferences about their effectiveness. As is typical with scoping reviews, we did not assess the quality of the included articles. This inherent limitation underscores the need for further research, particularly systematic reviews and meta-analyses, to delve deeper into the efficacy of interventions across various stages of the hypertension and diabetes care cascade. Moreover, the focus of this review was on studies that explicitly applied the cascade care lens to one or more stages of hypertension and diabetes care, which may have inadvertently excluded studies that explored these critical stages without using the term “cascade” or its associated lexicon. While this search strategy enabled a more targeted examination of research aligned with the cascade model, it also introduced an inadvertent restriction, potentially omitting relevant investigations that did not employ the cascade framework explicitly. This limitation underscores the need for future studies to explore these care stages more comprehensively, even when the cascade terminology is not explicitly invoked, providing a more holistic view of hypertension and diabetes care. Despite this limitation, our scoping review offers valuable insights into a broad landscape of influencing factors and interventions across the care cascade.</p>
      <p>In conclusion, this scoping review offers valuable insights into the evidence of the hypertension and diabetes care cascade, highlighting the importance of comprehensive interventions that address all stages of disease management. By identifying facilitators and barriers, the study emphasizes the need for tailored health care strategies to improve patient outcomes. Moving forward, integrating collaborative care models, tailored education programs, and health care system enhancements can potentially enhance disease control and improve the quality of life for individuals living with hypertension and diabetes. These findings have significant implications for clinical practice and health policy, serving as a foundation for future research and efforts to optimize the care cascade for chronic disease management.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Search strategy.</p>
        <media xlink:href="publichealth_v10i1e51802_app1.docx" xlink:title="DOCX File , 15 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Details of the included studies.</p>
        <media xlink:href="publichealth_v10i1e51802_app2.docx" xlink:title="DOCX File , 54 KB"/>
      </supplementary-material>
      <supplementary-material id="app3">
        <label>Multimedia Appendix 3</label>
        <p>PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist.</p>
        <media xlink:href="publichealth_v10i1e51802_app3.docx" xlink:title="DOCX File , 71 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">HIC</term>
          <def>
            <p>high-income country</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">LMIC</term>
          <def>
            <p>low- and middle-income country</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">NCD</term>
          <def>
            <p>noncommunicable disease</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The study was supported by the nonprofit Central Research Institute Fund of the Chinese Academy of Medical Sciences (grant number: 2021-RC330-004). RS (shaoruitai@cams.cn) and XY are cocorresponding authors for this study.</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data sets generated during or analyzed during this study are available from the corresponding author on reasonable request.</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>XY and RS conceived and designed the study. XY developed the search strategy. JW and FT ran the search. JW, FT, ZW, YY, and XY conducted the study selection processes (title and abstract screening followed by full-text screening). JW, FT, ZW, and YY extracted the data. XY verified the data extraction. JW, FT, and XY analyzed and interpreted the data. JW wrote the first draft of the manuscript with XY. All authors contributed to the writing of the manuscript. All authors critically revised the manuscript and approved the final version.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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