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Needs and Preferences of Swedish Young Adults for a Digital App Promoting Mental Health Literacy, Occupational Balance, and Peer Support: Qualitative Interview Study

Needs and Preferences of Swedish Young Adults for a Digital App Promoting Mental Health Literacy, Occupational Balance, and Peer Support: Qualitative Interview Study

The first author (MKB) has personal experiences of mental ill-health during young adulthood. Both MKB and AL also have experience as close relatives of family members with long-term mental ill-health. After transcribing the interviews verbatim, the first author (MKB) read the transcripts, familiarizing himself with the content.

Martin Karaba Bäckström, Sonya Girdler, Ben Milbourn, Annika Lexén

JMIR Form Res 2025;9:e71563

A Comparison of Responses from Human Therapists and Large Language Model–Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study

A Comparison of Responses from Human Therapists and Large Language Model–Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study

AI companions are systems that let users interact with one central chatbot, which is customized over time, and are meant for leisurely or personal conversations. AI character platforms are similar to AI companions with a focus on private rather than professional conversations. They are different from AI companions because they offer users the chance to generate various chatbots and publish them on a platform where anyone can use them.

Till Scholich, Maya Barr, Shannon Wiltsey Stirman, Shriti Raj

JMIR Ment Health 2025;12:e69709

The Communities Organizing for Power Through Empathy (COPE) Community-Based Intervention to Improve Adult Mental Health During Disasters and Crises: Protocol for a Stepped-Wedge Cluster Randomized Trial

The Communities Organizing for Power Through Empathy (COPE) Community-Based Intervention to Improve Adult Mental Health During Disasters and Crises: Protocol for a Stepped-Wedge Cluster Randomized Trial

Our core research team consists of 3 academic researchers, each of whom also have lived experience in Louisiana during a climate disaster, and a CBPR strategy team that brings together individuals with a range of professional and personal backgrounds, including a church pastor and licensed therapist, a retired chemistry professor and civil rights activist, a community organizer, a retired English professor, an executive director of an environmental justice nonprofit, and 2 clinical social workers.

Jennifer Scott, Tara Powell, Natasha M Lee-Johnson

JMIR Res Protoc 2025;14:e63723

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse

Patients use these platforms to share their treatment experiences, coping strategies, and personal triumphs and challenges, creating a rich collection of patient narratives. These platforms facilitate meaningful emotional support exchanges in which patients validate each other’s experiences, offer encouragement during difficult treatment phases, and celebrate milestones together [10].

Ravi Shankar, Qian Xu, Anjali Bundele

J Med Internet Res 2025;27:e70128

Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

Furthermore, temporality remains a key obstacle, as clinical narratives span longitudinal records. Chien et al [39] suggested that overcoming this challenge may require dedicated models for temporal relation extraction to accurately capture event sequencing. Thus, the full spectrum of summarization performance remains largely unexplored.

Lydie Bednarczyk, Daniel Reichenpfader, Christophe Gaudet-Blavignac, Amon Kenna Ette, Jamil Zaghir, Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Christian Lovis

J Med Internet Res 2025;27:e68998

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis

Because of its widespread use for sharing personal pain experiences and coping strategies, X (formerly Twitter) offers a unique channel for exploring the language and behavior of people living with chronic pain [17]. While all social media platforms have generally seen a significant uptick in health-related discussions, X stands out for its particularly vibrant discourse on chronic pain and related management strategies, including the use of opioids [18].

ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

J Med Internet Res 2025;27:e67506

Shifting Narratives in Media Coverage Across a Decade of Drug Discourse in the Philadelphia Inquirer: Qualitative Sentiment Analysis

Shifting Narratives in Media Coverage Across a Decade of Drug Discourse in the Philadelphia Inquirer: Qualitative Sentiment Analysis

For each topic identified, 2 researchers independently examined the top 20 articles with the highest topic representation scores, noting common themes and key narratives. This human analysis helped us understand how the algorithmically derived topics appeared in actual news coverage and enabled us to develop more meaningful topic labels.

Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, Rezvaneh Rezapour

JMIR Infodemiology 2025;5:e56004

Boosting Blood Donations Through Facebook Engagement: Randomized Controlled Field Trial

Boosting Blood Donations Through Facebook Engagement: Randomized Controlled Field Trial

These platforms offer unique opportunities to engage with potential donors, disseminate compelling narratives, remove barriers to donation, and foster a sense of community involvement [8,11-13]. Elements such as peer-to-peer communication, social networking, and social influence are leveraged through social media to encourage donation practices [10,14].

Steven Ramondt, Peter Kerkhof, Eva-Maria Merz

J Med Internet Res 2025;27:e64740

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

Types of HPV Vaccine Misinformation Circulating on Twitter (X) That Parents Find Most Concerning: Insights From a Cross-Sectional Survey and Content Analysis

The most common types of negative HPV vaccine posts on social media include inaccurate claims, conspiracy theories, concerns about vaccine safety and personal freedoms, and lack of vaccine efficacy; all are forms of disinformation or misinformation [10]. Currently, many US parents have expressed doubts about the benefits of the HPV vaccine and do not believe that the vaccine is effective at preventing HPV infection or protecting against HPV-related cancers [20].

Jennifer C Morgan, Sarah Badlis, Katharine J Head, Gregory Zimet, Joseph N Cappella, Melanie L Kornides

J Med Internet Res 2025;27:e54657

Evaluating the Usability, Acceptability, User Experience, and Design of an Interactive Responsive Platform to Improve Perinatal Nurses’ Stigmatizing Attitudes Toward Substance Use in Pregnancy: Mixed Methods Study

Evaluating the Usability, Acceptability, User Experience, and Design of an Interactive Responsive Platform to Improve Perinatal Nurses’ Stigmatizing Attitudes Toward Substance Use in Pregnancy: Mixed Methods Study

Selected images use a documentary photographic style characterized by ambiguity in subject matter, which enables participants to write two short creative narratives from two different perspectives (one perspective per image): (1) the perspective of a subject in the photograph and (2) the outside perspective of the nurse. Perspective taking is described as taking the point of view of another person within the other's context.

Michael Rubyan, Yana Gouseinov, Mikayla Morgan, Deborah Rubyan, Divya Jahagirdar, David Choberka, Carol J Boyd, Clayton Shuman

JMIR Hum Factors 2025;12:e67685