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Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

However, a discrepancy emerged yet again between providers’ positive evaluation of the daily logs and their use by patients, which was quite low in this study. While it may be important to collect self-reported information on risk factors (ie, cravings) and other relevant life stressors (eg, divorce and work termination), it is clear from our data that additional or alternative features were needed to keep participants engaged.

Omar Nieto, Allison D Rosen, Mariah M Kalmin, Li Li, Steven J Shoptaw, Steven P Jenkins, Zahra Zarei Ardestani, Bengisu Tulu

J Med Internet Res 2025;27:e69953

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

The additional time, cost, and administrative burden along with the risks of low patient participation, data errors, and incorrect interpretation have been frequently cited as limitations in integrating PROMs into surgical practices [3,5,6]. These limitations may be attributed to the current inefficiencies of conventional paper-based data collection methods.

Prabjit Ajrawat, Blaine Price, Daniel Gooch, Rudolf Serban, Ruqaiya Al-Habsi, Oliver Pearce

JMIR Hum Factors 2025;12:e65271

Stress Management Among Caregivers of Detained Youth: Protocol for Randomized Controlled Trial of the RAISE Web-Based mHealth App

Stress Management Among Caregivers of Detained Youth: Protocol for Randomized Controlled Trial of the RAISE Web-Based mHealth App

This relatively low number, compared to historical rates (eg, in 2019, there were over 35,000 youth detained), is in part due to the COVID-19 pandemic, which had significant impacts on juvenile legal system facilities and reporting of data related to youth in placement [1].

Johanna B Folk, Adrian Aguilera, Tara M Chaplin, Marina Tolou-Shams

JMIR Res Protoc 2025;14:e67511

Online Tailored Decision Aid for Maternal Pertussis Vaccination in a Randomized Controlled Trial: Process Evaluation Study

Online Tailored Decision Aid for Maternal Pertussis Vaccination in a Randomized Controlled Trial: Process Evaluation Study

The fourth iteration was a usability test with 4 low-literacy users in individual think-aloud sessions. After the final iteration, the intervention was tested further by members of the project group on various devices to ensure usability. Adjustments made based on each iteration are described in our other paper [15].

Charlotte Anraad, Pepijn van Empelen, Robert AC Ruiter, Hilde M van Keulen

JMIR Form Res 2025;9:e50709

Exploring Suicide-Related Internet Use Among Suicidal Mental Health Patients in the United Kingdom: Cross-Sectional Questionnaire Study

Exploring Suicide-Related Internet Use Among Suicidal Mental Health Patients in the United Kingdom: Cross-Sectional Questionnaire Study

Life stressors, including relationship difficulties (38%, 179/471), financial problems (152/471, 32%), and insomnia (155/471, 33%) were also common among participants and they reported moderately low support from family and friends. Figure 1 depicts the survey sections and flow. Study flowchart: inclusion criteria and sections of survey. SRIU: suicide-related internet use. The different types of and motivations for engaging in SRIU are shown in Figures 2 and 3.

Lana Bojanić, Isabelle M Hunt, Sandra Flynn, Saied Ibrahim, Pauline Turnbull

JMIR Ment Health 2025;12:e70458

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis

This makes rule-based systems practical for real-time applications or low-resource environments. Third, rule-based systems efficiently handle edge cases and specific linguistic nuances by directly tailoring rules to unique exceptions—such as distinguishing between actual falls and terms like “falling asleep” in clinical notes—without extensive data or training [12].

Xing Xing Qian, Pui Hing Chau, Daniel Y T Fong, Mandy Ho, Jean Woo

JMIR Aging 2025;8:e65195