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Digital Health Literacy of Children and Adolescents and Its Association With Sociodemographic Factors: Representative Study Findings From Germany

Digital Health Literacy of Children and Adolescents and Its Association With Sociodemographic Factors: Representative Study Findings From Germany

Regarding sociodemographic characteristics, no differences in digital health literacy were observed based on school type or grade level [15]. By contrast, male respondents and students with high subjective social status were more likely to exhibit sufficient levels of digital health literacy.

Lisa Stauch, Denise Renninger, Pia Rangnow, Anja Hartmann, Lisa Fischer, Kevin Dadaczynski, Orkan Okan

J Med Internet Res 2025;27:e69170

Ecological Momentary Assessment of Parental Well-Being and Time Use: Mixed Methods Compliance and Feasibility Study

Ecological Momentary Assessment of Parental Well-Being and Time Use: Mixed Methods Compliance and Feasibility Study

RQ3: Which aspects of the study design (eg, time point) and sociodemographic factors are associated with noncompliance and feasibility? This work is part of a quasi-experimental pilot study using EMA [38]. The main study consisted of internet-based questionnaires (before and after a week of EMA), daily EMA surveys over the course of 7 days, and subsequent structured interviews for the intervention group.

Laura Altweck, Samuel Tomczyk

JMIR Form Res 2025;9:e67451

Sociodemographic Differences in Logins and Engagement With the Electronic Health Coach Messaging Feature of a Mobile App to Support Opioid and Stimulant Use Recovery: Results From a 1-Month Observational Study

Sociodemographic Differences in Logins and Engagement With the Electronic Health Coach Messaging Feature of a Mobile App to Support Opioid and Stimulant Use Recovery: Results From a 1-Month Observational Study

We also explore sociodemographic differences in uptake and engagement patterns in distinct subgroups of users to elucidate what types of interventions or adaptations might be needed to improve use in distinct groups of individuals.

Lindsey M Filiatreau, Hannah Szlyk, Alex T Ramsey, Erin Kasson, Xiao Li, Zhuoran Zhang, Patricia Cavazos-Rehg

JMIR Mhealth Uhealth 2025;13:e54753

Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims Data

Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims Data

Our objective was to ascertain the prevalence of dependencies according to the following sociodemographic characteristics of insured persons: age group, gender, employment status, and place of residence. In addition, we wanted to investigate how video consultations were integrated into the overall treatment of a patient during the quarter; was this done exclusively via video, or was the video consultation only used as a supplement?

Theresa Hüer, Anke Walendzik, Lara Kleinschmidt, Klemens Höfer, Beatrice Nauendorf, Juliane Malsch, Matthias Brittner, Paul Brandenburg, André Aeustergerling, Udo Schneider, Anja Wadeck, Sebastian Liersch, Stephanie Sehlen, Katharina Schwarze, Jürgen Wasem

JMIR Form Res 2025;9:e60170

Posttraumatic Growth Among Suicide-Loss Survivors: Protocol for an Updated Systematic Review and Meta-Analysis

Posttraumatic Growth Among Suicide-Loss Survivors: Protocol for an Updated Systematic Review and Meta-Analysis

We have three primary aims with this review: (1) to investigate whether PTG can occur in the aftermath of a suicide loss, (2) to examine the sociodemographic and psychological correlates of PTG among people bereaved by suicide, and (3) to observe which factors facilitate PTG in the aftermath of suicide bereavement. This systematic review will locate and summarize applicable data from the peer-reviewed literature [25].

Spence Whittaker, Susan Rasmussen, Nicola Cogan, Dwight Tse, Bethany Martin, Karl Andriessen, Victor Shiramizu, Karolina Krysinska, Yossi Levi-Belz

JMIR Res Protoc 2025;14:e64615

Technology Readiness Level and Self-Reported Health in Recipients of an Implantable Cardioverter Defibrillator: Cross-Sectional Study

Technology Readiness Level and Self-Reported Health in Recipients of an Implantable Cardioverter Defibrillator: Cross-Sectional Study

A survey consisting of the READHY, sociodemographic characteristics, and self-reported health were administered at the meetings [19]) consist of between 4 and 6 items, which all have a 4-point response scale ranging from “strongly disagree” to “strongly agree.” An average score ranging from 1 (strongly disagree) to 4 (strongly agree) was calculated for each of the dimensions.

Natasha Rosenmeier, David Busk, Camilla Dichman, Kim Mechta Nielsen, Lars Kayser, Mette Kirstine Wagner

JMIR Cardio 2025;9:e58219

The Effects of MyChoices and LYNX Mobile Apps on HIV Testing and Pre-Exposure Prophylaxis Use by Young US Sexual Minority Men: Results From a National Randomized Controlled Trial

The Effects of MyChoices and LYNX Mobile Apps on HIV Testing and Pre-Exposure Prophylaxis Use by Young US Sexual Minority Men: Results From a National Randomized Controlled Trial

Sociodemographic and behavioral characteristics did not differ significantly by study arm. Baseline characteristics for the COMPAREa study, overall and by study condition, 2019-2022. a COMPARE: Comparison of Men's Prevention Apps to Research Efficacy. b SOC: standard of care. c Pr EP: pre-exposure prophylaxis. Compared to SOC (n=72, 59%), participants randomized to My Choices were significantly more likely to have received at least 1 HIV test over 6 months of follow-up (n=87, 74%; P=.010; Table 2).

Katie B Biello, Kenneth H Mayer, Hyman Scott, Pablo K Valente, Jonathan Hill-Rorie, Susan Buchbinder, Lucinda Ackah-Toffey, Patrick S Sullivan, Lisa Hightow-Weidman, Albert Y Liu

JMIR Public Health Surveill 2025;11:e63428

Association of Frailty Index at 66 Years of Age with Health Care Costs and Utilization Over 10 Years in Korea: Retrospective Cohort Study

Association of Frailty Index at 66 Years of Age with Health Care Costs and Utilization Over 10 Years in Korea: Retrospective Cohort Study

The Korean National Health Insurance database includes ICD-10 diagnostic codes, sociodemographic variables, health service claims, health care utilization, and long-term care insurance claims [16]. We included individuals with complete sociodemographic information who participated in the screening program (n=222,480) through the 435,572 enrollees of the Korean National Health Insurance aged 66 years between 2007‐2009.

Jieun Jang, Anna Kim, Mingee Choi, Ellen P McCarthy, Brianne Olivieri-Mui, Chan Mi Park, Jae-Hyun Kim, Jaeyong Shin, Dae Hyun Kim

JMIR Public Health Surveill 2025;11:e50026

Studying the Digital Intervention Engagement–Mediated Relationship Between Intrapersonal Measures and Pre-Exposure Prophylaxis Adherence in Sexual and Gender Minority Youth: Secondary Analysis of a Randomized Controlled Trial

Studying the Digital Intervention Engagement–Mediated Relationship Between Intrapersonal Measures and Pre-Exposure Prophylaxis Adherence in Sexual and Gender Minority Youth: Secondary Analysis of a Randomized Controlled Trial

However, there is a lack of quantitative research that aims to isolate and quantify the impact that intrapersonal psychological, sociodemographic, and behavioral measures have on engagement and subsequent behavioral outcomes of interest. Yardley et al [25] and other review articles using their effective engagement framework describe a plethora of issues with quantitively operationalizing and measuring effective engagement in previous research.

Michael P Williams, Justin Manjourides, Louisa H Smith, Crissi B Rainer, Lisa B Hightow-Weidman, Danielle F Haley

J Med Internet Res 2025;27:e57619