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The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners

The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based Interview Study Among General Practitioners

This study applied an inductive approach using semistructured interviews and vignettes to iteratively explore and provide detailed insights into the GPs’ perspectives on the prerequisites for AI in general practice. The vignette method was chosen to exemplify hypothetical scenarios of AI in general practice and create meaningful engagement with the participating GPs, as no AI tool has been implemented and validated in Danish general practice.

Natasha Lee Jørgensen, Camilla Hoffmann Merrild, Martin Bach Jensen, Thomas B Moeslund, Kristian Kidholm, Janus Laust Thomsen

JMIR Med Inform 2025;13:e63895

Oncology Provider and Patient Perspectives on a Cardiovascular Health Assessment Tool Used During Posttreatment Survivorship Care in Community Oncology (Results from WF-1804CD): Mixed Methods Observational Study

Oncology Provider and Patient Perspectives on a Cardiovascular Health Assessment Tool Used During Posttreatment Survivorship Care in Community Oncology (Results from WF-1804CD): Mixed Methods Observational Study

Interviews were conducted by 2 trained qualitative research team members from the Qualitative and Patient-Reported Outcomes (Q-PRO) Shared Resource of the Atrium Health Wake Forest Baptism Comprehensive Cancer Center. Interviews lasted an average of 20 minutes and were audio recorded. Descriptive statistics were quantified with mean (SD) and frequency (%) for continuous and categorical outcomes respectively. Figures display mean and corresponding 95% CIs for providers’ answers on a 1-7 scale.

Chandylen L Nightingale, Emily V Dressler, Maura Kepper, Heidi D Klepin, Simon Craddock Lee, Sydney Smith, Aylin Aguilar, Kimberly D Wiseman, Stephanie J Sohl, Brian J Wells, Joseph A DeMari, Alyssa Throckmorton, Lindsey W Kulbacki, Jenny Hanna, Randi E Foraker, Kathryn E Weaver

J Med Internet Res 2025;27:e65152

Examining BRCA Previvors’ Social Media Content Creation as a Form of Self and Community Care: Qualitative Interview Study

Examining BRCA Previvors’ Social Media Content Creation as a Form of Self and Community Care: Qualitative Interview Study

To accomplish this, we conducted semistructured interviews with BRCA previvors who create social media content related to their health condition and identity as previvors. Trends and themes were analyzed across the interview transcripts regarding BRCA previvors, social media, content creation, and connection within digital spaces.

Mariah L Wellman, Camilla M Owens, Avery E Holton, Kimberly A Kaphingst

J Med Internet Res 2025;27:e67794

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study

This study aims to advance the understanding of AI tools in psychiatric care by leveraging in-depth interviews to uncover the nuanced ways frontline physicians perceive and anticipate impacts of AI in their clinical practice. Physicians were recruited from a single health care system in the Upper Midwest of the United States.

Austin M Stroud, Susan H Curtis, Isabel B Weir, Jeremiah J Stout, Barbara A Barry, William V Bobo, Arjun P Athreya, Richard R Sharp

JMIR Ment Health 2025;12:e64414

Addressing the “Black Hole” of Low Back Pain Care With Clinical Decision Support: User-Centered Design and Initial Usability Study

Addressing the “Black Hole” of Low Back Pain Care With Clinical Decision Support: User-Centered Design and Initial Usability Study

We used an iterative, user-centered design process to identify clinical requirements from published evidence, elicit user requirements from iterative interviews, and develop and evaluate the usability of an electronic CDS tool that facilitates and encourages evidence-based diagnosis and treatment.

Robert S Rudin, Patricia M Herman, Robert Vining

JMIR Form Res 2025;9:e66666

Perspectives on Swedish Regulations for Online Record Access Among Adolescents With Serious Health Issues and Their Parents: Mixed Methods Study

Perspectives on Swedish Regulations for Online Record Access Among Adolescents With Serious Health Issues and Their Parents: Mixed Methods Study

The purpose of combining methods was to provide a breadth of data on an understudied topic, with interviews designed to facilitate a deeper understanding of the reasons underlying the quantitative results. The qualitative component is reported in accordance with the COREQ (Consolidated Criteria for Reporting Qualitative Research) [25] guidelines (Multimedia Appendix 1).

Josefin Hagström, Charlotte Blease, Arja Harila, Päivi Lähteenmäki, Isabella Scandurra, Maria Hägglund

JMIR Pediatr Parent 2025;8:e63270

Children’s and Their Parents’ Experiences With Home-Based Guided Hypnotherapy: Qualitative Study

Children’s and Their Parents’ Experiences With Home-Based Guided Hypnotherapy: Qualitative Study

The 2 research team meetings included discussion of the interview guide before the interviews, and discussion of topics, codes, and preliminary themes after the first interviews. In this qualitative study, all the children and their parents in the intervention group of the RCT were included. Children aged 7‐17 years with FAP or IBS according to their GP participated in the RCT.

Ilse N Ganzevoort, Adriëlla L van der Veen, Manna A Alma, Marjolein Y Berger, Gea A Holtman

JMIR Pediatr Parent 2025;8:e58301

Exploring the General Acceptability and User Experience of a Digital Therapeutic for Cognitive Training in a Singaporean Older Adult Population: Qualitative Study

Exploring the General Acceptability and User Experience of a Digital Therapeutic for Cognitive Training in a Singaporean Older Adult Population: Qualitative Study

There were no repeat interviews, transcripts were not returned to participants for comments, and participants did not provide feedback on the findings. This study was approved by the National University of Singapore’s institutional review board (NUS-IRB reference: NUS-IRB-2021-95). All participants provided informed consent and were informed of their right to withdraw from the study at any time. All data collected were deidentified for the purpose of this study.

Siong Peng Kwek, Qiao Ying Leong, V Vien Lee, Ni Yin Lau, Smrithi Vijayakumar, Wei Ying Ng, Bina Rai, Marlena Natalia Raczkowska, Christopher L Asplund, Alexandria Remus, Dean Ho

JMIR Form Res 2025;9:e63568

Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach

Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach

Data research was conducted through shadowing and in-depth interviews with participants working on HBD analysis. The second stage, define, involves deriving major issues related to the problem based on analysis and contextual understanding of user survey results and setting service goals. Based on the needs of users explored through persona and user journey map, the AI agent’s design concept was proposed.

Yoon Heui Lee, Hanna Choi, Soo-Kyoung Lee

JMIR Form Res 2025;9:e67272

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

The questions were formulated on the basis of a prior literature research, the guidelines for conduct of qualitative interviews [20,21], and professional experience of the researchers. The number of questions was limited to 12 due to the expected short time available to our interview partners. Interviews were conducted in a semistructured way.

Adriane Uihlein, Lisa Beissel, Anna Hanane Ajlani, Marcin Orzechowski, Christoph Leinert, Thomas Derya Kocar, Carlos Pankratz, Konrad Schuetze, Florian Gebhard, Florian Steger, Marina Liselotte Fotteler, Michael Denkinger

JMIR Aging 2024;7:e57899