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Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach

The original dataset contains 345 variables for each participant, covering a wide range of inquiry domains such as strengths and culturally protective factors, common life events, worries, quality of relationships, childhood experiences, family and domestic violence, and tobacco and alcohol and other drug use. Feature selection was performed using the RF to compute variable importance ranking.

Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Jenny Paola Ortega Quimbayo, Bridgette Kelly, Trish Ratajczak, Rhonda Marriott, Roz Walker, Jayne Kotz

J Med Internet Res 2025;27:e68030

Tailoring a Skills-Based Serostatus Disclosure Intervention for Transgender Women in South Africa: Protocol for a Usability and Feasibility Study

Tailoring a Skills-Based Serostatus Disclosure Intervention for Transgender Women in South Africa: Protocol for a Usability and Feasibility Study

Studies show that transgender women in committed relationships are less likely to engage in HIV-related high-risk behaviors, with researchers suggesting that relationship stability and emotional support lead to more consistent condom use and improved HIV prevention and treatment overall [28-30]. Specifically, higher relationship satisfaction, trust, and commitment were protective factors against HIV transmission among transgender women [17,31].

Joseph Daniels, Leonashia Leigh-Ann van der Merwe, Sarah Portle, Cikizwa Bongo, Shiv Nadkarni, Remco Petrus Peters

JMIR Res Protoc 2025;14:e52121

Complete Lifestyle Medicine Intervention Program–Ontario: Implementation Protocol for a Rural Study

Complete Lifestyle Medicine Intervention Program–Ontario: Implementation Protocol for a Rural Study

The 6 pillars of health inspired by the American College of Lifestyle Medicine are nutrition, sleep, relationships, physical activity, risky substance use, and stress management [18]. Three- and 6-month health progress questionnaires were inspired by the questions used in the New York City Health [38,49,50], the Hospital lifestyle medicine program, and the Complete Health Improvement Program lifestyle medicine program at Vanderbilt University [51,52].

Kush Patel, Lisa Allen, Karine Boucher, Michelle Fedele, Debbie Fong, Sangeeta Kumar, Deanna Lavigne, Elisa Marin-Couture, Magdalena Partyka-Sitnik, Nicole Rietze, Jenna Smith-Turchyn, Mylene Juneau, Caroline Rhéaume

JMIR Res Protoc 2024;13:e59179

Regulating AI in Mental Health: Ethics of Care Perspective

Regulating AI in Mental Health: Ethics of Care Perspective

As more AI solutions are developed, offering mental health aid or “therapy,” there is a growing need for ethical and regulatory guidance, especially regarding the impact on human emotions and relationships. Some of the questions that need to be answered are as follows: What happens when AI replaces human functions in therapy? How does AI affect the therapeutic relationship? How do AI-based “therapist” bots affect patients’ emotions and relationships with others?

Tamar Tavory

JMIR Ment Health 2024;11:e58493

Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study

Impacts of Clinical Decision Support Systems on the Relationship, Communication, and Shared Decision-Making Between Health Care Professionals and Patients: Multistakeholder Interview Study

During the coding, the focus of the analysis was directed toward distinct topics, such as role setting and relationships or patient information and education. Suitable exemplary codes were selected in order to answer the research question; these have been translated from German into English and included in this paper. Sociodemographic data of persons participating in individual interviews and focus groups (n=45).

Florian Funer, Diana Schneider, Nils B Heyen, Heike Aichinger, Andrea Diana Klausen, Sara Tinnemeyer, Wenke Liedtke, Sabine Salloch, Tanja Bratan

J Med Internet Res 2024;26:e55717

Comparing Repeated (Annual) Couples HIV Testing and Counseling to Individual HIV Testing and Counseling Among Male Couples at High Risk of HIV Infection: Protocol for a Randomized Control Trial

Comparing Repeated (Annual) Couples HIV Testing and Counseling to Individual HIV Testing and Counseling Among Male Couples at High Risk of HIV Infection: Protocol for a Randomized Control Trial

Nearly 2 decades of research have indicated that HIV prevention interventions that address the needs of SMM in relationships are an essential component of any comprehensive US national HIV prevention plan. Findings first emerged in the early 2000s, indicating that primary partnerships were often a risk for HIV infection [3-5]. Subsequently, epidemiological modeling estimated that between 35% and 68% of HIV infections among SMM are among main partners [6-8].

Tyrel J Starks, Kory Kyre, Juan Castiblanco, Jayelin N Parker, Erin Kahle, Rob Stephenson, Demetria Cain

JMIR Res Protoc 2024;13:e53023

Designing Mindfulness Conversational Agents for People With Early-Stage Dementia and Their Caregivers: Thematic Analysis of Expert and User Perspectives

Designing Mindfulness Conversational Agents for People With Early-Stage Dementia and Their Caregivers: Thematic Analysis of Expert and User Perspectives

Similarly, 40% (2/5) of persons with dementia expressed negative changes in their relationships with their loved ones. As the condition of persons with dementia declines, they lose their abilities and have changes in their personalities, resulting in worsened relationships. It would be important for interventions to improve social connectedness between the dyads. Dyadic dynamics needs to be carefully designed to encourage a stronger bond between the pair, as mentioned by mindfulness experts M4 and M5.

Cassandra E L Seah, Zheyuan Zhang, Sijin Sun, Esther Wiskerke, Sarah Daniels, Talya Porat, Rafael A Calvo

JMIR Aging 2022;5(4):e40360

Fear of COVID-19 and Prevention Behaviors: Cross-Lagged Panel Analysis

Fear of COVID-19 and Prevention Behaviors: Cross-Lagged Panel Analysis

In bivariate analyses, significant associations were found between fear and staying home except for essential activities at t1 and fear and physical distancing in public at both time points; however, further exploration of these relationships using cross-lagged panel analysis suggests these may not be temporal associations. Previous literature has examined the use of fear appeals in behavioral health interventions, largely with mixed or inconclusive findings.

Katherine M Anderson, Jamila K Stockman

JMIR Form Res 2022;6(11):e35730