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Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis

Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis

Thus, while there is research on how narrative influences health [5-8], and research on health representation and gender representation in media [18-23], there is little research that explores the overlap between health outcomes and gender representation in media, a gap we aimed to address in this study.

Calla Glavin Beauregard, Christopher M Danforth, Peter Sheridan Dodds

JMIR Form Res 2025;9:e70853

Investigating Experiences With Scarring Among Transgender and Gender Diverse People: Mixed Methods Study

Investigating Experiences With Scarring Among Transgender and Gender Diverse People: Mixed Methods Study

“Transgender and gender diverse” (TGD) is an umbrella term for people whose gender identities differ from societal expectations related to the sex they were assigned at birth. Some TGD people may choose to undergo gender-affirming surgery or pursue other forms of gender-affirming care at any point in their lives to alleviate gender dysphoria and better align their physical characteristics with their gender identity.

Nora Yanyi Sun, Kanika Kamal, Alex Sogomon Keuroghlian

JMIR Dermatol 2025;8:e62714

Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation

Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation

As model inputs, we used the patient’s age, gender, and all prior recorded vital signs, laboratory values, medications, and prior CAM assessments present in the medical record at 5 AM before the 24 hours in which delirium was to be predicted. Categorical values were converted to integers (eg, “1” for “Positive,” “0” for “Negative”).

Kendrick Matthew Shaw, Yu-Ping Shao, Manohar Ghanta, Valdery Moura Junior, Eyal Y Kimchi, Timothy T Houle, Oluwaseun Akeju, Michael Brandon Westover

JMIR Med Inform 2025;13:e60442

Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Bulimia Nervosa Case Vignettes

Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Bulimia Nervosa Case Vignettes

Data from Chat GPT-4 and Menta LLa MA replies were copied to an Excel sheet, indicating the vignette number, gender, sexual orientation, and round number. Female gender and heterosexual orientation were coded as “0.” We performed all analyses in RStudio [64]. Data quality of Menta LLa MA results was low and yielded no reliable results (Multimedia Appendix 1).

Rebekka Schnepper, Noa Roemmel, Rainer Schaefert, Lena Lambrecht-Walzinger, Gunther Meinlschmidt

JMIR Ment Health 2025;12:e57986

Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: “We Built the Airplane While Flying It”

Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: “We Built the Airplane While Flying It”

Women-identifying and women+ gender faculty (women+ is inclusive of different identities pertaining to gender, hereto described as women+ faculty) in medicine and biomedical sciences face numerous barriers to career advancement. These barriers include fewer invitations to keynote speaking engagements, reduced academic promotion rates, decreased leadership opportunities, and disparities in research funding and other research metrics [1-4].

Maya S Iyer, Aubrey Moe, Susan Massick, Jessica Davis, Megan Ballinger, Kristy Townsend

JMIR Form Res 2025;9:e65561

A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study

A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study

Extracting comorbidities for an index condition based on age, gender, and other features required intensive computation power and storage capacity when dynamic linking the patient and clinical tables. The same challenge was seen for other data analyses.

Shahzad Mumtaz, Megan McMinn, Christian Cole, Chuang Gao, Christopher Hall, Magalie Guignard-Duff, Huayi Huang, David A McAllister, Daniel R Morales, Emily Jefferson, Bruce Guthrie

J Med Internet Res 2025;27:e52385

Citizen Worry and Adherence in Response to Government Restrictions in Switzerland During the COVID-19 Pandemic: Repeated Cross-Sectional Online Surveys

Citizen Worry and Adherence in Response to Government Restrictions in Switzerland During the COVID-19 Pandemic: Repeated Cross-Sectional Online Surveys

Independence between surveys was tested with the t test for continuous variables (eg, age), and with the chi-square test for gender, education, and health literacy. We performed linear regressions to analyze associations between the 4 periods and level of worry (model A), self-reported adherence (model B), and perceived adherence of others to restrictions (model C).

Vanessa Kraege, Céline Dumans-Louis, Céline Maglieri, Séverine Bochatay, Marie-Anne Durand, Antoine Garnier, Kevin Selby, Christian von Plessen

Interact J Med Res 2025;14:e55636

Personality Types of Medical Students in Terms of Their Choice of Medical Specialty: Cross-Sectional Study

Personality Types of Medical Students in Terms of Their Choice of Medical Specialty: Cross-Sectional Study

Table 2 shows the number and percentage of participants reporting interest in specialties depending on gender. The association between medical specialty choice and gender, presented as ORs with 95% CIs, is shown in Figure 1. Number and percentage of participants reporting interest in specialties depending on gender. The association between medical specialty choice and gender, presented as odds ratios with 95% CIs.

Małgorzata Tobiaszewska, Tytus Koweszko, Jonasz Jurek, Karolina Mikołap, Jacek Gierus, Jantoni Mikulski, Napoleon Waszkiewicz

Interact J Med Res 2024;13:e60223

Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease

Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease

This paucity of data is particularly apparent in the evaluation of gender differences in the clinical presentation and medical management of IHD in LMICs [8,9]. A promising direction is the use of electronic health records (EHRs) to analyze patient data to better inform clinical decision-making and assess adherence to IHD treatment guidelines using a gender lens.

Christine Ngaruiya, Zainab Samad, Salma Tajuddin, Zarmeen Nasim, Rebecca Leff, Awais Farhad, Kyle Pires, Muhammad Alamgir Khan, Lauren Hartz, Basmah Safdar

JMIR Form Res 2024;8:e42774

Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review

Use of ChatGPT to Explore Gender and Geographic Disparities in Scientific Peer Review

The names of the first and last authors along with the first author’s country of affiliation were collected, and the gender of both the first and last authors was determined. The authors’ genders were categorized in 2 steps. The gender was determined based on names alone, classifying names as man or woman accordingly. For authors whose gender could not be inferred from their names, professional networks and university websites were searched for photos or text containing gender-specific pronouns.

Paul Sebo

J Med Internet Res 2024;26:e57667