This presentation will showcase the INCLUDE study, which is exploring digital exclusion in people aged 65+. Findings from two surveys which received an excellent response will be presented- describing older people’s online activities and the prevalence of digital exclusion. The team will discuss how they used the survey data linked with primary care records to develop a predictive model that identifies older people who are at risk of digital exclusion. As the model is based on routinely available data, it is implementable in primary care electronic health records.
About the speakers
Liz Graham is a Senior Research Fellow at the Academic Unit for Ageing and Stroke Research (ASR). She has a background in health research, including randomised controlled trials of complex interventions. She leads the INCLUDE study, which emerged from her work as part of the Applied Research Collaboration ‘Older People with Frailty’ Theme to identify research priorities for older people. She is also the project manager / researcher for a study investigating the barriers and facilitators to managing hearing loss for older adults living with frailty.
Kate Best is an Associate Professor in Statistics and- in addition to INCLUDE- is involved with several of ASR’s studies, including working as part of the HDR-UK Better Care North Partnership to develop and evaluate an anticholinergic medication index to optimise prescribing among older people. She has experience working with large routinely collected health data sets using a variety of different methods including survival analyses and multilevel modelling.
Caroline Brundle is a Senior Research Fellow and project manager for the INCLUDE study. Prior to this she worked as an Ageing and Stroke Researcher on several of ASR’s projects, including the CARE75+ (Community Ageing Research) cohort study and the PROSPER (Personalised Care Planning for Older People with Frailty) Programme.