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Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment

Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment

The selected hospitals were identified from a professional network that the study’s principal investigators (authors LT and CP) were part of. The hospitals were invited to participate in the assessment through an invitation letter explaining the purpose and scope of the study. Upon approval by the hospitals’ authorities, the hospital IT directors were provided with an information sheet, the questionnaire, and an instruction document.

Duc Minh Tran, Nguyen Thanh Dung, Chau Minh Duc, Huynh Ngoc Hon, Le Minh Khoi, Nguyen Phuc Hau, Duong Thi Thu Huyen, Huynh Thi Le Thu, Tran Van Duc, VITAL (Vietnam ICU Translational Applications Laboratory) Investigators, Lam Minh Yen, C Louise Thwaites, Chris Paton

JMIR Form Res 2025;9:e53483

Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study

Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study

This study drew upon data originating from the Influence of Different Risk Factors in Vascular Accelerated Aging study (the EVA study) [35] (NCT02623894), the Relationship of Central Blood Pressure and Pulse Wave Velocity With Target Organ Damage study (the LOD-DIABETES study) [36] (NCT01065155), and the Effectiveness of the Use of a Mobile Tool in Improving Lifestyle (the EVIDENT study) [37] (NCT02016014).

Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos, RIGIPREV Investigators Group

J Med Internet Res 2024;26:e54357

Correction: A Virtual Hospital Model of Care for Low Back Pain, Back@Home: Protocol for a Hybrid Effectiveness-Implementation Type-I Study

Correction: A Virtual Hospital Model of Care for Low Back Pain, Back@Home: Protocol for a Hybrid Effectiveness-Implementation Type-I Study

In the originally published article, the group author Back@Home Investigators was omitted from the authorship list. Furthermore, the equal contribution note was erroneously assigned to all authors when it should have only been assigned to the first two authors, Alla Melman and Min Jiat Teng.

Alla Melman, Min Jiat Teng, Danielle M Coombs, Qiang Li, Laurent Billot, Thomas Lung, Eileen Rogan, Mona Marabani, Owen Hutchings, Chris G Maher, Gustavo C Machado, Back@Home Investigators

JMIR Res Protoc 2024;13:e60298

The Costs of Anonymization: Case Study Using Clinical Data

The Costs of Anonymization: Case Study Using Clinical Data

Based on our investigation, it is evident that use case–specific tailoring had a positive effect on the reproducibility. In assessing anthropometric data, for example, use case–specific tailoring unfolded its potential, BMI represents a screening tool for chronic disease and mortality, while weight and in particular height are not pathological factors by themselves [54].

Lisa Pilgram, Thierry Meurers, Bradley Malin, Elke Schaeffner, Kai-Uwe Eckardt, Fabian Prasser, GCKD Investigators

J Med Internet Res 2024;26:e49445

Impact of the COVID-19 Pandemic on People Living With Rare Diseases and Their Families: Results of a National Survey

Impact of the COVID-19 Pandemic on People Living With Rare Diseases and Their Families: Results of a National Survey

People who lived in the United States, had an RD, and were aged The data collection instrument was designed ad hoc by the authors in spring 2020, with contributions from all the principal investigators of the RDCRN consortia (included as a group author as “The Principal Investigators of the Rare Diseases Clinical Research Network - Cycle 4” refer to the collaborators list), based on their expert knowledge of RDs.

Maurizio Macaluso, Marc E Rothenberg, Thomas Ferkol, Pierce Kuhnell, Henry J Kaminski, David W Kimberlin, Michael Benatar, Mirna Chehade, The Principal Investigators of the Rare Diseases Clinical Research Network – Cycle 4

JMIR Public Health Surveill 2024;10:e48430

Effect of Mobile Phone Text Messaging Self-Management Support for Patients With Diabetes or Coronary Heart Disease in a Chronic Disease Management Program (SupportMe) on Blood Pressure: Pragmatic Randomized Controlled Trial

Effect of Mobile Phone Text Messaging Self-Management Support for Patients With Diabetes or Coronary Heart Disease in a Chronic Disease Management Program (SupportMe) on Blood Pressure: Pragmatic Randomized Controlled Trial

SMS text messages from a previous study [9] were adopted, and new content was developed through our iterative co-design process with investigators, specialist physicians, allied health professionals, and consumers [20,21]. The messages provided advice, motivation, information, or supportive tips on disease management. Each week, each of the four messages would address a different aspect: (1) general health, (2) nutrition, (3) physical activity, and (4) disease self-management.

Ngai Wah Cheung, Julie Redfern, Aravinda Thiagalingam, Tien-Ming Hng, Simone Marschner, Rabbia Haider, Sonia Faruquie, Amy Von Huben, Shelley She, Daniel McIntyre, Jin-Gun Cho, Clara K Chow, The SupportMe Investigators

J Med Internet Res 2023;25:e38275