Inequalities in Uptake and Use of Digital Applications for Home-Monitoring of Neovascular Age-Related Macular Degeneration in an Elderly Visually Impaired Population: The MONARCH Study.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
01 Mar 2024
Historique:
medline: 1 3 2024
pubmed: 1 3 2024
entrez: 1 3 2024
Statut: ppublish

Résumé

To describe inequalities in the Monitoring for Neovascular Age-related Macular Degeneration Reactivation at Home (MONARCH) diagnostic test accuracy study for: recruitment; participants' ability to self-test; and adherence to testing using digital applications during follow-up. Home-monitoring vision tests included two tests implemented as software applications (apps: MyVisionTrack and MultiBit) on an iPod Touch device. Patients were provided with all hardware required to participate (iPod and MIFI device) and trained to use the apps. Regression models estimated associations of age, sex, Index of Multiple Deprivation, strata of time since first diagnosis, and baseline visual acuity at study entry on outcomes of willingness to participate, ability to perform tests, and adherence to weekly testing. A minority of patients who were approached were willing-in-principle to participate. Increasing age was associated with being unwilling-in-principle to participate. Patients from the most deprived areas had a 47% decrease in odds of being willing compared to those from the middle quintile deprived areas (odds ratio, 0.53; 95% confidence interval = 0.32, 0.88). Increasing age and worse deprivation were not consistently associated either with ability to self-monitor with the index tests, or adherence to weekly testing. Associations of increasing age and worse deprivation index were associated with unwillingness-in-principle to participate despite the provision of hardware' highlighting the potential for inequality with interventions of the kind evaluated. The clear evidence of inequalities in participation should prompt future research on ways to encourage adoption of mobile health technologies by underserved populations.

Identifiants

pubmed: 38427348
pii: 2793418
doi: 10.1167/tvst.13.3.2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2

Auteurs

Ruth E Hogg (RE)

Centre for Public Health, Queen's University Belfast, Belfast, UK.

Robin Wickens (R)

Bristol Trials Centre, University of Bristol, Bristol, UK.
Southampton Clinical Trials Unit, University of Southampton, Southampton, UK.

Sean O'Connor (S)

Centre for Public Health, Queen's University Belfast, Belfast, UK.
Institute of Nursing and Health Research, Ulster University, Londonderry, UK.

Eleanor Gidman (E)

Bristol Trials Centre, University of Bristol, Bristol, UK.

Elizabeth Ward (E)

Bristol Trials Centre, University of Bristol, Bristol, UK.

Tunde Peto (T)

Centre for Public Health, Queen's University Belfast, Belfast, UK.

Benjamen J L Burton (BJL)

James Paget University Hospitals NHS Trust, London, UK.

Paul Knox (P)

University of Liverpool, Liverpool, UK.

Andrew J Lotery (AJ)

Department of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.

Sobha Sivaprasad (S)

NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK.

Michael Donnelly (M)

Centre for Public Health, Queen's University Belfast, Belfast, UK.

Chris A Rogers (CA)

Bristol Trials Centre, University of Bristol, Bristol, UK.

Barnaby C Reeves (BC)

Bristol Trials Centre, University of Bristol, Bristol, UK.

Classifications MeSH