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New Horizons in the use of routine data for ageing research.

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journal contribution
posted on 22.05.2020, 11:29 by Oliver M Todd, Jennifer K Burton, Richard M Dodds, Joe Hollinghurst, Ronan A Lyons, Terence J Quinn, Anna Schneider, Katherine E Walesby, Chris Wilkinson, Simon Conroy, Chris P Gale, Marlous Hall, Kate Walters, Andrew P Clegg
The past three decades have seen a steady increase in the availability of routinely collected health and social care data and the processing power to analyse it. These developments represent a major opportunity for ageing research, especially with the integration of different datasets across traditional boundaries of health and social care, for prognostic research and novel evaluations of interventions with representative populations of older people. However, there are considerable challenges in using routine data at the level of coding, data analysis and in the application of findings to everyday care. New Horizons in applying routine data to investigate novel questions in ageing research require a collaborative approach between clinicians, data scientists, biostatisticians, epidemiologists and trial methodologists. This requires building capacity for the next generation of research leaders in this important area. There is a need to develop consensus code lists and standardised, validated algorithms for common conditions and outcomes that are relevant for older people to maximise the potential of routine data research in this group. Lastly, we must help drive the application of routine data to improve the care of older people, through the development of novel methods for evaluation of interventions using routine data infrastructure. We believe that harnessing routine data can help address knowledge gaps for older people living with multiple conditions and frailty, and design interventions and pathways of care to address the complex health issues we face in caring for older people.

Funding

This work was supported by: Dunhill Medical Trust, UK [RTF107/0117 to OMT]; NHS Education for Scotland, Scotland Clinical Research Excellence Development Scheme Clinical Lectureship [JKB]; National Institute for Health Research (NIHR) Newcastle Biomedical Research Centre [RD]; Health Data Research UK (HDR UK) [JH, RL]; Alzheimer Scotland and the University of Edinburgh Centre for Cognitive Ageing and Cognitive epidemiology [MR/L501530/1 to KEW]; NIHR Clinical Lectureship [CW]; Wellcome Trust [206,470/Z/17/Z to MH]; NIHR Applied Research Collaboration, Yorkshire & Humber [NIHR ARC YH to AC].

History

Citation

Age and Ageing (2020), afaa018

Author affiliation

Department of Health Sciences

Version

VoR (Version of Record)

Published in

Age and ageing

Publisher

Oxford University Press (OUP)

issn

0002-0729

eissn

1468-2834

Acceptance date

16/01/2020

Copyright date

2020

Available date

10/02/2020

Spatial coverage

England

Language

eng