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Integrated Real-World Data Warehouses Across 7 Evolving Asian Health Care Systems: Scoping Review

Integrated Real-World Data Warehouses Across 7 Evolving Asian Health Care Systems: Scoping Review

The use of multiple databases was found in 7.6% (28/369) of the studies, primarily combining clinical registries and EMRs or EHRs (Multimedia Appendix 2). Use of EMR or EHR databases was more common for SCSs (120/246, 48.8%; Multimedia Appendix 2). On the other hand, the predominant exclusive database warehouse for CCCSs was clinical registries, used in 73.2% (9/123) of the studies.

Wen-Yi Shau, Handoko Santoso, Vincent Jip, Sajita Setia

J Med Internet Res 2024;26:e56686

Durability of the Effectiveness of Heterologous COVID-19 Vaccine Regimens in Thailand: Retrospective Cohort Study Using National Registration Data

Durability of the Effectiveness of Heterologous COVID-19 Vaccine Regimens in Thailand: Retrospective Cohort Study Using National Registration Data

Specialized registries have been established for COVID-19 testing, COVID-19 cases, and COVID-19 vaccination [21]. By linking these records, we examined a dynamic cohort of the Thai population to assess the durability of VE of heterologous vaccine sequences, providing insights for future pandemics. This study aims to evaluate the duration during which the VE of heterologous vaccine sequences against severe COVID-19 and death following hospitalization for COVID-19 (fatal COVID-19) remains over 50%.

Ponlagrit Kumwichar, Chittawan Poonsiri, Siobhan Botwright, Natchalaikorn Sirichumroonwit, Bootsakorn Loharjun, Supharerk Thawillarp, Nontawit Cheewaruangroj, Amorn Chokchaisiripakdee, Yot Teerawattananon, Virasakdi Chongsuvivatwong

JMIR Public Health Surveill 2024;10:e48255

The Australian Genetic Heart Disease Registry: Protocol for a Data Linkage Study

The Australian Genetic Heart Disease Registry: Protocol for a Data Linkage Study

Here we report a protocol for the linkage of Australian Genetic Heart Disease (AGHD) Registry participants [12,13] with state-wide hospitalization, emergency department and mortality registries, and the national mortality registry to establish a rich and comprehensive data resource to examine the health care use of individuals with a genetic heart disease and their families for the first time.

Alexandra Butters, Bianca Blanch, Anna Kemp-Casey, Judy Do, Laura Yeates, Felicity Leslie, Christopher Semsarian, Lee Nedkoff, Tom Briffa, Jodie Ingles, Joanna Sweeting

JMIR Res Protoc 2023;12:e48636

Implementing the Digital Diabetes Questionnaire as a Clinical Tool in Routine Diabetes Care: Focus Group Discussions With Patients and Health Care Professionals

Implementing the Digital Diabetes Questionnaire as a Clinical Tool in Routine Diabetes Care: Focus Group Discussions With Patients and Health Care Professionals

These potential outcomes are also consistent with increasing call for patients’ perspectives to play a greater role in assessing outcomes of diabetes care and to be incorporated into diabetes registries [60,61]. The NDR has comprehensive long-term experience in secure data management of medical variables.

Maria Svedbo Engström, Unn-Britt Johansson, Janeth Leksell, Ebba Linder, Katarina Eeg-Olofsson

JMIR Diabetes 2022;7(2):e34561

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

Authors’ Response to Peer Reviews of “Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study”

As this paragraph lacked clarity on the fact that the goal of using the Arthritis Power example was to illustrate the variety of approaches and the specificity of registry contexts, design approaches, and purpose, we have highlighted the differences and limitations of design studies for registries such as Arthritis Power. 4. In the Introduction, we have added the section Review of Past Studies, which narrows down the focus of our study and better places it in the context of past research. 5.

Svitlana Surodina, Ching Lam, Svetislav Grbich, Madison Milne-Ives, Michelle van Velthoven, Edward Meinert

JMIRx Med 2021;2(2):e28917

Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Patient data in medical registries are an important source of information for screening, treatment, and research purposes. However, the value of these registries can be severely limited by a lack of high-quality data, especially in diseases where there are low patient engagement and concerns around stigma and anonymity, such as herpes simplex virus (HSV) [1].

Svitlana Surodina, Ching Lam, Svetislav Grbich, Madison Milne-Ives, Michelle van Velthoven, Edward Meinert

JMIRx Med 2021;2(2):e25560

Development of an International, Multicenter, Hyperbaric Oxygen Treatment Registry and Research Consortium: Protocol for Outcome Data Collection and Analysis

Development of an International, Multicenter, Hyperbaric Oxygen Treatment Registry and Research Consortium: Protocol for Outcome Data Collection and Analysis

Future plans, including long-term follow-up and linkage to cancer registries and vital status data, depend on future funding. Table 3 lists the parameters measured [25,26]. Data collection instruments and questionnaires used in the registry.

Nicole P Harlan, Judy A Ptak, Judy R Rees, Devin R Cowan, Abigail M Fellows, Judith A Kertis, Pamela M Hannigan, Janet L Peacock, Jay C Buckey

JMIR Res Protoc 2020;9(8):e18857