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A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

This study was conducted as a web-based cross-sectional survey of health care professionals across the United Kingdom who use Systm One EHRs (The Phoenix Partnership Ltd). The cross-sectional survey approach allowed the assessment of the applicability, internal consistency, and construct validity of the CLIQ framework. The web-based approach offered a convenient, affordable, and pragmatic way of conducting a study and collecting data.

Kayode Philip Fadahunsi, Petra A Wark, Nikolaos Mastellos, Ana Luisa Neves, Joseph Gallagher, Azeem Majeed, Josip Car

JMIR Med Inform 2025;13:e58125

Understanding the Experiences of Patients With Pancreatic Cancer: Quantitative Analysis of the Pancreatic Cancer Action Network Patient Registry

Understanding the Experiences of Patients With Pancreatic Cancer: Quantitative Analysis of the Pancreatic Cancer Action Network Patient Registry

The aggressive nature of the disease poses a challenge for the collection of survey and PRO information, yet the unmet need demands that all avenues are used, and the patient experience is known and incorporated in the best practices for treatment and care of people with pancreatic cancer.

Allison Rosenzweig, Sydney Rathjens, Kawther Abdilleh, Dennis Ladnier, Fatima Zelada-Arenas, Sudheer Doss, Lynn M Matrisian

J Particip Med 2025;17:e65046

Analyzing Usage of the Metaverse by Associations of Patients With Prostate Cancer During the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study

Analyzing Usage of the Metaverse by Associations of Patients With Prostate Cancer During the 2023 Blue Ribbon Campaign: Cross-Sectional Survey Study

This national cross-sectional survey study aimed to evaluate participants’ satisfaction with and awareness of the Understanding the Prostate Cancer Metaverse event. A questionnaire was used to assess satisfaction with participation in the metaverse, and data were collected from September 15 to October 20, 2023, during the Blue Ribbon Campaign hosted by the Korean Urological Association and the Korean Urological Oncology Society.

Jung Ki Jo, Yeeun Kim, Yun-Sok Ha, Kwang Taek Kim, Sangjun Yoo, Woo Suk Choi, Jihye Yang, Jaeeun Shin, Sun Il Kim, Jeong Hyun Kim

J Med Internet Res 2025;27:e63030

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

Global Health care Professionals’ Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study

The final survey included 33 questions and was distributed electronically using Research Electronic Data Capture (REDCap) (version 13.1.30; Vanderbilt University) [13].

Ecem Ozkan, Aysun Tekin, Mahmut Can Ozkan, Daniel Cabrera, Alexander Niven, Yue Dong

JMIR Med Educ 2025;11:e58801

Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study

Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study

A multinational survey among health care professionals and patients focused on this delta, its underlying reasons, and the consecutively arising demand specifically regarding the following five research questions: How do estimations of the future importance of digital health differ between patients and professionals? How do patients and professionals estimate their future use of digital health solutions?

Fritz Seidl, Florian Hinterwimmer, Ferdinand Vogt, Günther M Edenharter, Karl F Braun, Rüdiger von Eisenhart-Rothe, AG Digitalisierung der DGOU, Peter Biberthaler, Dominik Pförringer

JMIR Hum Factors 2025;12:e60779

Perspectives and Experiences With Large Language Models in Health Care: Survey Study

Perspectives and Experiences With Large Language Models in Health Care: Survey Study

Specifically, we aim to (1) investigate users’ uptake, perceptions, and experiences regarding LLMs in health care and (2) contextualize survey responses by demographics and professional profiles. This study is reported according to the Consensus-Based Checklist for Reporting of Survey Studies (Multimedia Appendix 1) [28].

Jennifer Sumner, Yuchen Wang, Si Ying Tan, Emily Hwee Hoon Chew, Alexander Wenjun Yip

J Med Internet Res 2025;27:e67383

Assessment of Heterosexual-Identified Men Who Have Sex With Men and Men of Diverse Sexual Identities: Protocol for an International, Multilingual, Online, Comparative Sexuality Study

Assessment of Heterosexual-Identified Men Who Have Sex With Men and Men of Diverse Sexual Identities: Protocol for an International, Multilingual, Online, Comparative Sexuality Study

As such, the objectives of this study are to (1) survey men (H-MSM, GBQ+ men, and concordant heterosexual men) in Canada, the United States, and the United Kingdom to gain greater insights into how demographics, identity development, attraction, behavior, technology use, relationship negotiation and communication skills, and Pr EP and life satisfaction relate to each other and (2) interview H-MSM about the constructs measured in the survey.

Andrew D Eaton, Travis R Scheadler, Megan Rowe, Salem Rao, Sandra Kwan, Oliver W J Beer, Paul A Shuper, Tyrone J Curtis, Adam Busch, Daniel Vandervoort, Lauren B McInroy

JMIR Res Protoc 2025;14:e66897

Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids

Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids

Individual fraudsters may falsify responses to mimic what they perceive as desirable survey answers in order to receive survey incentives [31,34]. “Click farms” groups that purposefully search for surveys with financial incentives may also contribute to invalid responses [31]. Scammers may take surveys multiple times, slightly altering their answers to appear like unique participants [31,34,35].

Elizabeth D Nesoff, Joseph J Palamar, Qingyue Li, Wenqian Li, Silvia S Martins

J Med Internet Res 2025;27:e63687

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

Engagement with the chatbot was measured by the number of total texts, number of questions asked, and survey response rates. Questions were classified by content category (maternal, baby, lactation, and social work) and by whether the question was prompted or unprompted. Prompted questions were defined as questions related to a previous message (ie, “Remember you can ask me questions about your health or baby”) or directly following another interaction.

Kirstin Leitner, Clare Cutri-French, Abigail Mandel, Lori Christ, Nathaneal Koelper, Meaghan McCabe, Emily Seltzer, Laura Scalise, James A Colbert, Anuja Dokras, Roy Rosin, Lisa Levine

JMIR AI 2025;4:e58454