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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 12, 2024
Open Peer Review Period: Jan 16, 2024 - Mar 12, 2024
Date Accepted: Aug 16, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Differences in Use of a Patient Portal Across Sociodemographic Groups: Observational Study of the NHS App in England

KC S, Papoutsi C, Reidy C, Gudgin B, Powell J, Majeed A, Greaves F, Laverty AA

Differences in Use of a Patient Portal Across Sociodemographic Groups: Observational Study of the NHS App in England

J Med Internet Res 2024;26:e56320

DOI: 10.2196/56320

PMID: 39536310

PMCID: 11602757

Differences in usage of a patient portal across socio-demographic groups: observational study of the NHS App in England.

  • Sukriti KC; 
  • Chrysanthi Papoutsi; 
  • Claire Reidy; 
  • Bernard Gudgin; 
  • John Powell; 
  • Azeem Majeed; 
  • Felix Greaves; 
  • Anthony A Laverty

ABSTRACT

Background:

The adoption of patient portals, supported by initiatives such as the national rollout of the NHS App in England, may improve patient engagement in healthcare. However, concerns remain regarding disparities in the uptake and utilisation of various patient portal features, which have not been fully explored for the NHS App. Understanding patterns of use of the various app functions across diverse populations is essential to address potential inequality trends and to ensure equitable implementation practices.

Objective:

We explored population factors related to deprivation, age, sex, ethnicity, and long-term healthcare needs associated with uptake of the NHS App features using data from 6,386 General Practices (GP)s in England.

Methods:

Negative binomial regression models were used to explore variations in weekly rates of NHS App features used (registrations, logins, prescriptions ordered, medical record views and appointments booked) based on GP level patient sociodemographic variables split into quantiles (for deprivation, Q5= least deprived practices and for all other variables, Q4= practices with the highest population percentage for the given variable).

Results:

We found variations in patient engagement with the different features and among the different demographic categories. There was lower use of features overall in deprived areas (e.g. Q5 vs Q1= -34.0% for registrations, -34.9% for logins, -39.7% for appointment booked, -32.3% for medical record views and -9.9% for prescriptions; P<.001) and in practices with more male patients (e.g. Q4 vs Q1= -7.1% for registration, -10.4% for login, -36.4% for appointments booked, -12.0% for medical record views, -14.4% for prescriptions; P<.001). Larger practices had an overall higher use of different features (e.g. Q4 vs Q1= 3.2% for registration, 11.7% for logins, 73.4% for appointments booked, 23.9% for medical record views and 20.7% for prescriptions; P<.001), as well as those with more white patients (e.g. Q4 vs Q1= 1.9% for registration, 9.1% for logins, 14.1% for appointments booked, 28.7% for medical record views, 130.4% for prescriptions ordered; P<.001). Whereas, usage patterns varied for practices with more younger population (e.g. Q4 vs Q1= 3.1% for registration, 5.6% for logins, 46.5% for appointments booked, -14.8% for prescriptions; P<.001 and 1.7% for medical record views, P=0.003) and in those practices with more patients with long-term healthcare needs (e.g. Q4 vs Q1= -3.6% for registrations, -20.0% for appointments booked, 6.0% for medical record views, 18.3% for prescriptions; P<.001 and -1.7% for logins; P=0.001).

Conclusions:

This study highlights inequalities in the use of the NHS App features, revealing a deprivation gradient and variations across the different demographic categories. Recognising and dealing with these patterns is crucial for addressing inequities in digital health engagement. Tailored interventions and patient support are required to ensure equitable access and utilisation among diverse patient groups. Clinical Trial: N/A


 Citation

Please cite as:

KC S, Papoutsi C, Reidy C, Gudgin B, Powell J, Majeed A, Greaves F, Laverty AA

Differences in Use of a Patient Portal Across Sociodemographic Groups: Observational Study of the NHS App in England

J Med Internet Res 2024;26:e56320

DOI: 10.2196/56320

PMID: 39536310

PMCID: 11602757

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