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Urban-Rural Differences in the Association Between Internet Use Trajectories and Depressive Symptoms in Chinese Adolescents: Longitudinal Observational Study

Urban-Rural Differences in the Association Between Internet Use Trajectories and Depressive Symptoms in Chinese Adolescents: Longitudinal Observational Study

Furthermore, the impacts of internet use among adolescents may vary between rural and urban areas. Traditionally, rural adolescents have limited access to internet devices and engage in fewer online activities than their urban counterparts [24]. With the increasing penetration rates of the internet in recent years, the urban-rural gap has narrowed, with adolescents in rural areas experiencing a faster increase in screen time [25].

Yujie Liu, Xin Ge, Ying Wang, Xue Yang, Shangbin Liu, Chen Xu, Mi Xiang, Fan Hu, Yong Cai

J Med Internet Res 2025;27:e63799

Urban-Suburban Differences in Public Perspectives on Digitalizing Pediatric Research: Cross-Sectional Survey Study

Urban-Suburban Differences in Public Perspectives on Digitalizing Pediatric Research: Cross-Sectional Survey Study

Chongqing is divided into urban and suburban areas based on geographical location and development level, with 3.07 million (23.9%) households in urban areas and 9.79 million (76.1%) in suburban areas [33]. Kindergarten children are typically between 3 and 6 years old, with exceptions depending on individual circumstances [34].

Heping Fang, Ruoling Xian, Juan Li, Yingcun Li, Enmei Liu, Yan Zhao, Yan Hu

J Med Internet Res 2025;27:e60324

Leveraging the Electronic Health Record to Measure Resident Clinical Experiences and Identify Training Gaps: Development and Usability Study

Leveraging the Electronic Health Record to Measure Resident Clinical Experiences and Identify Training Gaps: Development and Usability Study

This pilot study was conducted from 2019 to 2021 in a large, urban, pediatric residency program with multiple institutional sites. To assess feasibility, we focused on ambulatory diagnoses at 1 pediatric continuity clinic site. We chose this site since it had a larger volume of general pediatric patients with fewer complex medical needs than the other continuity clinics.

Vasudha L Bhavaraju, Sarada Panchanathan, Brigham C Willis, Pamela Garcia-Filion

JMIR Med Educ 2024;10:e53337

Assessing the Response Results of an mHealth-Based Patient Experience Survey Among People Receiving HIV Care in Lusaka, Zambia: Cohort Study

Assessing the Response Results of an mHealth-Based Patient Experience Survey Among People Receiving HIV Care in Lusaka, Zambia: Cohort Study

Potential survey participants were identified by research assistants at 1 of 2 (1 in an urban setting, 1 in a periurban setting) pilot study HIV care facilities using convenience sampling; participants were selected following reception and triage procedures, which included routine data collection (eg, temperature, weight, and blood pressure).

Jacob Mutale, Kombatende Sikombe, Boroma Mwale, Mwansa Lumpa, Sandra Simbeza, Chama Bukankala, Njekwa Mukamba, Aaloke Mody, Laura K Beres, Charles B Holmes, Carolyn Bolton Moore, Elvin H Geng, Izukanji Sikazwe, Jake M Pry

J Med Internet Res 2024;26:e54304

Consumption of Health-Related Videos and Human Papillomavirus Awareness: Cross-Sectional Analyses of a US National Survey and YouTube From the Urban-Rural Context

Consumption of Health-Related Videos and Human Papillomavirus Awareness: Cross-Sectional Analyses of a US National Survey and YouTube From the Urban-Rural Context

While internet accessibility has been extensively compared between urban and rural geographies, contemporary US data quantifying geographical differences in exposure to health-related videos on social media are not available. It is important to quantify these data in the context of “place,” as the expansion of the cellular network has improved accessibility to health information available on the web in urban as well as rural areas.

Ashvita Garg, Alan G Nyitray, James R Roberts, Nicholas Shungu, Kenneth J Ruggiero, Jessica Chandler, Haluk Damgacioglu, Yenan Zhu, Naomi C Brownstein, Katherine R Sterba, Ashish A Deshmukh, Kalyani Sonawane

J Med Internet Res 2024;26:e49749

Engagement and Utilization of a Complete Remote Digital Care Program for Musculoskeletal Pain Management in Urban and Rural Areas Across the United States: Longitudinal Cohort Study

Engagement and Utilization of a Complete Remote Digital Care Program for Musculoskeletal Pain Management in Urban and Rural Areas Across the United States: Longitudinal Cohort Study

Patients were coded according to their zip codes to a specific rural-urban commuting area (RUCA) code [45]. RUCA codes characterize all census areas regarding their rural and urban status and relationships. This classification system uses the standard Bureau of Census urbanized area and urban cluster definitions in combination with work-commuting information [46,47]. Rural areas have been defined as having an urban core of 50,000 people or less [24].

Justin Scheer, Anabela C Areias, Maria Molinos, Dora Janela, Robert Moulder, Jorge Lains, Virgílio Bento, Vijay Yanamadala, Fernando Dias Correia, Fabíola Costa

JMIR Mhealth Uhealth 2023;11:e44316

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

Examining Rural and Urban Sentiment Difference in COVID-19–Related Topics on Twitter: Word Embedding–Based Retrospective Study

In this regard, the difference in the use of adjectives between urban and rural users can be measured via the difference in the hashtag-adjective similarity scores between urban and rural word-embedding models. For instance, the adjectives used mainly by urban users to describe a COVID-19 topic can be learned from comparing the topic vector to the adjectives in the urban-w2v model. Similarly, the preference of adjectives for rural users can be obtained from the rural-w2v model.

Yongtai Liu, Zhijun Yin, Congning Ni, Chao Yan, Zhiyu Wan, Bradley Malin

J Med Internet Res 2023;25:e42985

User Experience Regarding Digital Primary Health Care in Santarém, Amazon: Evaluation of Patient Satisfaction and Doctor’s Feedback

User Experience Regarding Digital Primary Health Care in Santarém, Amazon: Evaluation of Patient Satisfaction and Doctor’s Feedback

This teleconsultation project between São Paulo and Paysandú showed that it is possible to offer medical care from more developed locations to communities far from urban centers. Beyond the feasibility of the infrastructure, acceptance and satisfaction among patients was high. This remote health care model proves to be functional and should be expanded nationally or perhaps internationally to regions lacking medical care.

Kaio Jia Bin, Patrícia Gabriela Santana Alves, Raquel Costa, Paula Cruz Eiras, Luciano Nader de Araujo, Antonio José Rodrigues Pereira, Carlos Carvalho, Ana Maria Malik

JMIR Form Res 2023;7:e39034

Mobile Health–Supported Virtual Reality and Group Problem Management Plus: Protocol for a Cluster Randomized Trial Among Urban Refugee and Displaced Youth in Kampala, Uganda (Tushirikiane4MH, Supporting Each Other for Mental Health)

Mobile Health–Supported Virtual Reality and Group Problem Management Plus: Protocol for a Cluster Randomized Trial Among Urban Refugee and Displaced Youth in Kampala, Uganda (Tushirikiane4MH, Supporting Each Other for Mental Health)

There are 118,000 urban refugees in Uganda who live in Kampala, 27% of whom are youth aged 15-24 years [7]. There is a trend of urbanization of refugees globally, with more than 60% of refugees and 80% of internally displaced persons globally living in urban regions [8]. Many urban refugees such as those in Kampala live in informal settlements, including slums [9-11].

Carmen H Logie, Moses Okumu, Jean-Luc Kortenaar, Lesley Gittings, Naimul Khan, Robert Hakiza, Daniel Kibuuka Musoke, Aidah Nakitende, Brenda Katisi, Peter Kyambadde, Torsum Khan, Richard Lester, Lawrence Mbuagbaw

JMIR Res Protoc 2022;11(12):e42342