e.g. mhealth
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Skip search results from other journals and go to results- 17 Journal of Medical Internet Research
- 9 JMIR Public Health and Surveillance
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- 6 JMIR Research Protocols
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Both types of analysis were agreed to produce summaries as tables of numbers for age, gender, ethnicity, and indices of multiple deprivations (IMD) groupings for the selected condition. These summaries were also expanded to demonstrate frailty (measured by the e FI), comorbidity (measured with the Charlson score), the prevalence of comorbidities, and current drug prescription. Additionally, it was highlighted to produce rates of hospitalization and mortality.
J Med Internet Res 2025;27:e52385
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We estimated odds ratios (OR) for diabetes by race or ethnicity and asthma status under 4 EHR-based estimation methods that we describe herein. First, “naïve” models were estimated by fitting a logistic regression model for observed diabetes status (DM*) on the total sample (n=454,612).
JMIR Med Inform 2024;12:e58085
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Despite substantial evidence that Black YMSM-YTW experience sexual racism in online dating, there is no evidence about whether this results in quantifiable differences in online sexual partnering by race and ethnicity.
Research consistently finds high levels of within–race and ethnicity sexual partnering among young MSM [7,13-17]. A recent study suggested that sexual exclusivity among Black sexual minority men may be partially protective against the psychological impacts of racial discrimination [18].
JMIR Public Health Surveill 2024;10:e54215
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We used ANOVA to assess engagement and changes in clinical outcomes by age, race/ethnicity, and gender.
The study was approved by the WCG Institutional Review Board (Wisdo.001.1/26/2023). Since all data were routinely collected during the intervention, this protocol was considered exempt from additional consent. All data were deidentified. Participants received 1 year of free access to the platform but no other compensation.
JMIR Form Res 2024;8:e58263
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By extension, this study evaluated the interaction effect between race and ethnicity of the participants, perceptions of social media health mis- and disinformation, and trust in cancer information. We hypothesized that the association between perceptions of a lot of mis- and disinformation on social media and trust in cancer information sources would vary by race and ethnicity.
JMIR Cancer 2024;10:e54162
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We obtained a sample of adults meant to be representative of the intersection of age, race and ethnicity, and sex-assigned at birth using US census data.
We collected information on age (in years), gender identity (male, female, and nonbinary), yearly income (in US dollars), highest educational attainment, race, and ethnicity. Race and ethnicity were combined and defined as Asian, Hispanic, non-Hispanic Black, non-Hispanic White, or other (eg, multiracial or Middle Eastern).
JMIR Form Res 2024;8:e49780
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The Political Economy of Digital Health Equity: Structural Analysis
However, a growing body of research suggests that digital health can also exacerbate health inequities for those excluded from its benefits for reasons of cost, digital literacy, and structural discrimination based on age, race, ethnicity, or socioeconomic status [7,8].
Often referred to as the “health-related digital divide,” the exacerbation of health inequities by digital health technologies has been widely discussed in health informatics and digital health literature [7,9,10].
J Med Internet Res 2024;26:e46971
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Employing Bethlehem’s weighting adjustment technique [27], age, sex, geography (Health Authority region), and ethnicity were used as auxiliary variables for weighting.
Participant characteristics were summarized using weighted frequencies and percentages, stratified by ethnicity. The distribution of mistrust in COVID-19 vaccines was examined for each ethnicity. We examined the distribution of vaccine receipt by mistrust status for each ethnicity.
JMIR Public Health Surveill 2024;10:e48466
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For example, in a study by Mak and colleagues [10], they reviewed 379 National Institute of Mental Health–funded clinical trials for various mental health disorders published between 1995 and 2004 to investigate how many trials reported sex, race, and ethnicity. They found that 91.6% of the National Institute of Mental Health–funded published trials reported sex. However, only 47.8% included race or ethnicity in their demographics, and 25.6% had incomplete race or ethnicity information.
J Med Internet Res 2024;26:e50780
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Covariates were selected a priori by the study team based on their clinical expertise and knowledge, including race or ethnicity, age, employment status, education, caregiver health, and religiosity. We used precoded NSOC demographic variables for race, ethnicity, and age. For employment status, we considered a caregiver employed if they currently worked for payment. We categorized the level of education based on whether a caregiver had completed college or whether they had a college degree or higher.
JMIR Aging 2023;6:e44166
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