TY  - JOUR
AU  - KC, Sukriti
AU  - Papoutsi, Chrysanthi
AU  - Reidy, Claire
AU  - Gudgin, Bernard
AU  - Powell, John
AU  - Majeed, Azeem
AU  - Greaves, Felix
AU  - Laverty, Anthony A
PY  - 2024
DA  - 2024/11/13
TI  - Differences in Use of a Patient Portal Across Sociodemographic Groups: Observational Study of the NHS App in England
JO  - J Med Internet Res
SP  - e56320
VL  - 26
KW  - digital health
KW  - patient portals
KW  - technological health divide
KW  - eHealth
KW  - inequality
KW  - observational
KW  - ecological
KW  - England
KW  - app
KW  - patient portal
KW  - disparities
KW  - deprivation
KW  - demographics
KW  - long-term health care
KW  - negative binomial regression model
KW  - intervention
KW  - patient support
KW  - general practice
KW  - digital technology
KW  - patient
KW  - youth
AB  - 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<.001). Practices with greater proportions of male patients also had lower levels of NHS App use (eg, Q4 vs Q1: registration=–7.1%, log-in=–10.4%, and appointments booked=–36.4%; P<.001). Larger practices had an overall higher use of some NHS App features (eg, Q4 vs Q1: registration=3.2%, log-ins=11.7%, appointments booked=73.4%, medical record views=23.9%, and prescriptions ordered=20.7%; P<.001), as well as those with greater proportions of White patients (eg, Q4 vs Q1: registration=1.9%, log-ins=9.1%, appointments booked=14.1%, medical record views=28.7%, and prescriptions ordered=130.4%; P<.001). Use patterns varied for practices with greater proportions of patients with long-term health care needs (eg, Q4 vs Q1: registrations=–3.6%, appointments booked=–20%, and medical record views=6%; P≤.001). Conclusions: This study highlights that the use of the NHS App features varied across sociodemographic groups. In particular, it is used less by people living in more deprived areas. Tailored interventions and patient support are required to ensure that any benefits from the NHS App are spread equally throughout the population. 
SN  - 1438-8871
UR  - https://www.jmir.org/2024/1/e56320
UR  - https://doi.org/10.2196/56320
DO  - 10.2196/56320
ID  - info:doi/10.2196/56320
ER  -