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mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study

Integrated treatment models, notably psychiatric collaborative care (Co CM), have emerged as sophisticated approaches in the treatment of complex patients who present with behavioral and physical health comorbidities [26,27,32]. Under these models, multifaceted care teams provide integrated, population-based, patient-centered behavioral and physical health care.

Dan Holley, Amanda Brooks, Matthew Hartz, Sudhir Rao, Thomas Zaubler

JMIR Mhealth Uhealth 2025;13:e52764

Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic Review

Toward Guidelines for Designing Holistic Integrated Information Visualizations for Time-Critical Contexts: Systematic Review

An integrated presentation brings together diverse data in a single visual representation, allowing users to view and analyze the data in a way that is interconnected, showing the links and relationships within the data (ie, between medication and allergies). Thus, holistic integrated visualizations combine both holistic and integrated approaches.

Ahmed Mohammed Patel, Weston Baxter, Talya Porat

J Med Internet Res 2024;26:e58088

User Experiences of Transitioning From a Homegrown Electronic Health Record to a Vendor-Based Product in the Department of Veterans Affairs: Qualitative Findings From a Mixed Methods Evaluation

User Experiences of Transitioning From a Homegrown Electronic Health Record to a Vendor-Based Product in the Department of Veterans Affairs: Qualitative Findings From a Mixed Methods Evaluation

VA is the largest nationally integrated system in the United States, and a sweeping undertaking like the current EHR transition is an inherent matter of public interest. The EHR modernization has already affected—and will continue to affect—the ability of VA to provide high-quality, safe, and timely care to the veterans that it serves [15]. The transition also has direct implications for the morale and organizational commitment of VA’s considerable workforce.

Ekaterina Anderson, Megan Moldestad, Julian Brunner, Sherry Ball, Christian Helfrich, Jay Orlander, Seppo Rinne, George Sayre

JMIR Form Res 2024;8:e46901

Addressing Hospital Overwhelm During the COVID-19 Pandemic by Using a Primary Health Care–Based Integrated Health System: Modeling Study

Addressing Hospital Overwhelm During the COVID-19 Pandemic by Using a Primary Health Care–Based Integrated Health System: Modeling Study

We then tested an alternative strategy that used a PHC-based integrated health system. Ethics board review was not required, as this study only involved modeling and simulations. All modeling data came from public sources or published papers and did not involve ethical issues. System dynamics was applied in this study to simulate the mass infections and the health system performance in Shanghai.

Jiaoling Huang, Ying Qian, Yuge Yan, Hong Liang, Laijun Zhao

JMIR Med Inform 2024;12:e54355

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

We do not know how well SMS text messaging programs can be integrated into routine clinical care and whether they can be structured to support people with multiple chronic conditions. Therefore, we sought to understand whether a healthy lifestyle self-management support SMS text messaging program can complement a health district–wide integrated care program in terms of its effect on clinical measures as well as patient engagement.

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

Integrated Personal Health Record in Indonesia: Design Science Research Study

Integrated Personal Health Record in Indonesia: Design Science Research Study

Integrated PHRs can be an opportunity to improve access to and quality of health services in Indonesia by using IT [17]. As a technological solution for integrated PHRs in Indonesia, this study developed an integrated PHR architecture and prototype in Indonesia using the design science research (DSR) approach by Hevner et al [18]. The DSR approach was chosen in this study as the goal of DSR is to focus on designing systems that not only are practical but can also contribute to knowledge.

Nabila Clydea Harahap, Putu Wuri Handayani, Achmad Nizar Hidayanto

JMIR Med Inform 2023;11:e44784

User Requirements for Comanaged Digital Health and Care: Review

User Requirements for Comanaged Digital Health and Care: Review

In parallel, there is an increasing policy and practice imperative to shift the balance of care to communities and enable a system that supports person-centered, integrated, preventive, comanaged, and sustainable care [4,5]. Scotland’s strategy recognizes digital technology as a critical asset for delivering changes at scale [6]. In previous work, the authors have proposed that the digital health and social care tool set must help systems understand people’s lived experiences [7].

Chaloner Chute, Tara French, Sneha Raman, Jay Bradley

J Med Internet Res 2022;24(6):e35337

Patient Experience and Predictors of Improvement in a Group Behavioral and Educational Intervention for Individuals With Diabetes and Serious Mental Illness: Mixed Methods Case Study

Patient Experience and Predictors of Improvement in a Group Behavioral and Educational Intervention for Individuals With Diabetes and Serious Mental Illness: Mixed Methods Case Study

Following qualitative and quantitative data analyses, data were integrated to identify congruencies and discrepancies, allow for meta-inferences, and facilitate richness of data [29-32]. The results were illustrated with a joint display of quantitative predictors mapped to relevant qualitative themes and the resulting mixed method research inference. Full demographic characteristics of the parent study participants are given in the study by Schnitzer et al [18].

Kristina Schnitzer, Corrine Cather, Vanya Zvonar, Alyson Dechert, Rachel Plummer, Kelsey Lowman, Gladys Pachas, Kevin Potter, Anne Eden Evins

J Particip Med 2021;13(1):e21934

Implementing Mobile Health–Enabled Integrated Care for Complex Chronic Patients: Intervention Effectiveness and Cost-Effectiveness Study

Implementing Mobile Health–Enabled Integrated Care for Complex Chronic Patients: Intervention Effectiveness and Cost-Effectiveness Study

The differences in Qo L between integrated care and control patients favored the integrated care patients but did not achieve statistical significance. Changes in health status in the usual care and integrated care arms. a SF-12: 12-Item Short-Form Survey. b Paired t test comparing baseline and discharge measures; linear regression predicting the difference on baseline and discharge measures according to intervention arm, adjusted by age, sex, and Charlson index.

Jordi de Batlle, Mireia Massip, Eloisa Vargiu, Nuria Nadal, Araceli Fuentes, Marta Ortega Bravo, Felip Miralles, Ferran Barbé, Gerard Torres, CONNECARE-Lleida Group

JMIR Mhealth Uhealth 2021;9(1):e22135

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

In a previous study [11], we integrated patient-level clinical, demographic, and visit data with population-level social determinants of health measures to develop decision models that predicted patient need for behavioral health, dietitian, social work, or other wraparound service referrals. We also compared the performance of models built with and without population-level social determinants of health indicators.

Suranga N Kasthurirathne, Shaun Grannis, Paul K Halverson, Justin Morea, Nir Menachemi, Joshua R Vest

JMIR Med Inform 2020;8(7):e16129