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The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study

The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study

Ranked digital inequity scores in infrastructure access-usage and sociodemographic categories were assigned per county. DII: Digital Inequity Index. This research was conducted in Chicago, Illinois, United States, during the period of September 2022 to July 2023. No generative artificial intelligence was used in conducting any part of this research, nor any written parts of this manuscript.

David J Fei-Zhang, Amelia Sherron Lawrence, Daniel C Chelius, Anthony M Sheyn, Jeffrey C Rastatter

JMIR Cancer 2025;11:e52627

Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study

Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study

In the fourth round of the ENE-COVID, in November 2020, self-reported information on influenza vaccination was gathered, together with a wide range of sociodemographic, health, and COVID-19–related epidemiological data.

Miguel Ángel de la Cámara, Nerea Fernández de Larrea-Baz, Roberto Pastor-Barriuso, Amparo Larrauri, Pablo Fernández-Navarro, Marina Pollán, Beatriz Pérez-Gómez, ENE-COVID Study Group

JMIR Public Health Surveill 2025;11:e60658

Sociodemographic and Socioeconomic Determinants for the Usage of Digital Patient Portals in Hospitals: Systematic Review and Meta-Analysis on the Digital Divide

Sociodemographic and Socioeconomic Determinants for the Usage of Digital Patient Portals in Hospitals: Systematic Review and Meta-Analysis on the Digital Divide

The usage of digital PP seems to depend particularly on patients’ sociodemographic and socioeconomic status [9]. The most common determinants analyzed in this regard are income, education, and employment for socioeconomic [10], age, gender, and marital status for the sociodemographic determinants [11].

Nina Goldberg, Christin Herrmann, Paola Di Gion, Volker Hautsch, Klara Hefter, Georg Langebartels, Holger Pfaff, Lena Ansmann, Ute Karbach, Florian Wurster

J Med Internet Res 2025;27:e68091

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