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BACKGROUND: The adoption of patient portals, such as the National Health Service (NHS) App in England, may improve patient engagement in health care. However, concerns remain regarding differences across sociodemographic groups in the uptake and use of various patient portal features, which have not been fully explored. Understanding the use of various functions across diverse populations is essential to ensure any benefits are equally distributed across the population. OBJECTIVE: This study aims to explore differences in the use of NHS App features across age, sex, deprivation, ethnicity, long-term health care needs, and general practice (GP) size categories. METHODS: We used weekly NHS App use data from the NHS App dashboard for 6386 GPs in England from March 2020 to June 2022. Negative binomial regression models explored variations in weekly rates of NHS App features used (registrations, log-ins, prescriptions ordered, medical record views, and appointments booked). Outcomes were measured as weekly rates per 1000 GP-registered patients, and we conducted separate models for each outcome. Regression models included all covariates mentioned above and produced incident rate ratios, which we present here as relative percentages for ease of interpretation. GP-level covariate data on sociodemographic variables were used as categorical variables in 5 groups for deprivation (Q1=least deprived practices and Q5=most deprived practices) and 4 groups for all other variables (Q1=least deprived practices and Q4=most deprived practices). RESULTS: We found variations in the use of different features overall and across sociodemographic categories. Fully adjusted regression models found lower use of features overall in more deprived practices (eg, Q5 vs Q1: registrations=-34%, log-ins=-34.9%, appointments booked=-39.7%, medical record views=-32.3%, and prescriptions ordered=-9.9%; P

Original publication

DOI

10.2196/56320

Type

Journal article

Journal

J Med Internet Res

Publication Date

13/11/2024

Volume

26

Keywords

England, app, demographics, deprivation, digital health, digital technology, disparities, eHealth, ecological, general practice, inequality, intervention, long-term health care, negative binomial regression model, observational, patient, patient portal, patient portals, patient support, technological health divide, youth, Humans, England, State Medicine, Male, Female, Middle Aged, Adult, Patient Portals, Aged, Mobile Applications, Adolescent, Young Adult, Sociodemographic Factors