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A Supplemental Women’s Health Questionnaire for Women Veterans With Military Environmental Exposures: Project Development and Implementation

A Supplemental Women’s Health Questionnaire for Women Veterans With Military Environmental Exposures: Project Development and Implementation

Demographic and military characteristics of women veterans with military environmental exposures, 2022-2024.a a Includes self-identified demographic and military characteristics. b Missing (n=7). c Missing (n=4). d Other marital status includes living with a partner, separated. e Missing (n=9). f Missing (n=14). g Other combat deployments non-Gulf War I and post-9/11 deployments such as Bosnia, with some participants serving across multiple eras. h Missing (n=12). i Missing (n=16). j WRIISC: War Related Illness and Injury

Leah N Eizadi, Mehret T Assefa, Jordan M Nechvatal, G Marina Veltkamp, Abou Ibrahim-Biangoro, Maheen M Adamson, Jennifer S Jennings

JMIR Form Res 2025;9:e73223

Development of a Cocreated Decision Aid for Patients With Depression—Combining Data-Driven Prediction With Patients’ and Clinicians’ Needs and Perspectives: Mixed Methods Study

Development of a Cocreated Decision Aid for Patients With Depression—Combining Data-Driven Prediction With Patients’ and Clinicians’ Needs and Perspectives: Mixed Methods Study

To be included in the dataset, patients had to have a primary diagnosis of MDD (N=17,788). The dataset comprised routinely collected intake and outcome data, as well as mental health care usage data. Intake data included sociodemographic characteristics and medical and mental health information (for a complete list, see Section B in Multimedia Appendix 1). Treatment response was assessed using changes in Outcome Questionnaire-45 (OQ-45) scores during treatment [45,46].

Kaying Kan, Frederike Jörg, Klaas J Wardenaar, Frank J Blaauw, Maarten F Brilman, Ellen Visser, Dennis Raven, Dwayne Meijnckens, Erik Buskens, Danielle C Cath, Bennard Doornbos, Robert A Schoevers, Talitha L Feenstra

J Particip Med 2025;17:e67170

Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study

Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study

the software accepted only a narrow set of responses (Y, Yes, N, or No). Despite this, patients could respond as desired without a limit on character count. Messages containing text lacking a prespecified response triggered an outbound SMS text message to patients stating, “I don’t understand that response. Valid choices are: [prespecified choices].” We undertook a process of feature engineering to describe patients’ interaction with the program.

Klea Profka, Agnes Wang, Emily Schriver, Ashley Batugo, Anna U Morgan, Danielle Mowery, Eric Bressman

J Med Internet Res 2025;27:e72875

Integrating Lived Experience Into Medical Education Related to Children With Medical Complexity or Developmental Disabilities: Protocol for a Scoping Review

Integrating Lived Experience Into Medical Education Related to Children With Medical Complexity or Developmental Disabilities: Protocol for a Scoping Review

chronic illness who are not medically complex or have developmental disabilities Families of the above patient populations Caregivers of the above patient populations Medical school Clerkship Residency Fellowship Professional development Continuing medical education Patient education Family or caregiver education Peer-reviewed papers Non–peer-reviewed papers Conference proceedings Conference abstracts Grey literature Editorials Commentaries Books English All other languages, including those translated to English N/

Noah Pollard, Leslie Christensen, Heidi Kloster, Danielle Gerber, Gail Chödrön

JMIR Res Protoc 2025;14:e64911

Enhancing Quality of Life in Patients With Hypothyroidism Using a Scientific Yoga Module: Randomized Controlled Trial

Enhancing Quality of Life in Patients With Hypothyroidism Using a Scientific Yoga Module: Randomized Controlled Trial

The cohort of 134 patients with hypothyroidism joined the sessions from different geographical locations in India, including Andhra Pradesh (n=10, 7.5%), Gujarat (n=13, 9.7%), Karnataka (n=32, 23.9%), Madhya Pradesh (n=9, 6.7%), Maharashtra (n=22, 16.4%), New Delhi (n=22, 16.4%), Tamil Nadu (n=15, 11.2%), and West Bengal (n=11, 8.2%).

Savithri Nilkantham, Amit Singh, Vijaya Majumdar, Harini K N, Snigdha Atmakur

J Med Internet Res 2025;27:e54078