Digital Exclusion, Social Deprivation, and Clinical Outcomes of Patients Undergoing Hyperacuity Home Monitoring.

ABSTRACT

INTRODUCTION: Digital exclusion is a growing challenge when deploying digital patient care pathways and a potential barrier to widespread implementation, especially in the field of smartphone-based self-monitoring of vision. This retrospective case series seeks to examine the characteristics of individuals who adhere to a smartphone home monitoring programme using the Alleye app for retinal disease, with a focus on digital exclusion, social deprivation and clinical outcomes. METHODS: We conducted a retrospective analysis of 89 patients with retinal pathologies including diabetic retinopathy and retinal vein occlusions at Moorfields Eye Hospital participating in an Alleye home monitoring programme between April 2020 and November 2022. Postcodes were used to determine the Digital Exclusion Risk Index (DERI) and the Index of Multiple Deprivation (IMD) rebased for London. Clinical information from the electronic patient record and Alleye app usage data were extracted for each patient. Associations between the DERI/IMD, clinical parameters and app use were examined using multivariable regression models. RESULTS: Mean DERI was 2.56 (standard deviation [SD] = 0.36), IMD was 6.25 (SD = 2.79), visual acuity (VA) in the better eye at study entry was 83.28 Early Treatment Diabetic Retinopathy Study (ETDRS) letters (SD = 7.92), and mean follow-up was 344.46 days (SD = 260.13). During the observation period, 36% received an intravitreal injection (IVI) and VA fell by at least ten letters in approximately one in four patients. In 87.5% of patients requiring IVI, the use of the app increased. We found no association between clinical parameters and programme adherence for DERI or IMD. CONCLUSIONS: We found no association between high digital exclusion risk and high social deprivation with monitoring adherence to smartphone-based self-monitoring of vision, contrary to the currently available evidence. This suggests that smartphone-based self-monitoring of vision is accessible to population groups of varying digital exclusion and social deprivation risk, and can be safely employed to monitor clinical progression.