Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: A mixed-method study protocol
Author
Ludlow, K.Westbrook, J.
Jorgensen, M.
Lind, K.E.
Baysari, M.T.
Gray, L.C.
Day, R.O.
Ratcliffe, J.
Lord, S.R.
Georgiou, A.
Braithwaite, J.
Raban, M.Z.
Close, J.
Beattie, E.
Zheng, W.Y.
Debono, D.
Nguyen, A.
Siette, J.
Seaman, K.
Miao, M.
Root, J.
Roffe, D.
O'Toole, L.
Carrasco, M.
Thompson, A.
Shaikh, J.
Wong, J.
Stanton, C.
Haddock, R.
Affiliation
Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, The University of ArizonaIssue Date
2021Keywords
geriatric medicinehealth & safety
health informatics
information technology
quality in health care
risk management
Metadata
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BMJ Publishing GroupCitation
Ludlow, K., Westbrook, J., Jorgensen, M., Lind, K. E., Baysari, M. T., Gray, L. C., Day, R. O., Ratcliffe, J., Lord, S. R., Georgiou, A., Braithwaite, J., Raban, M. Z., Close, J., Beattie, E., Zheng, W. Y., Debono, D., Nguyen, A., Siette, J., Seaman, K., … Haddock, R. (2021). Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: A mixed-method study protocol. BMJ Open, 11(8).Journal
BMJ OpenRights
Copyright © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Introduction There is a clear need for improved care quality and quality monitoring in aged care. Aged care providers collect an abundance of data, yet rarely are these data integrated and transformed in real-time into actionable information to support evidence-based care, nor are they shared with older people and informal caregivers. This protocol describes the co-design and testing of a dashboard in residential aged care facilities (nursing or care homes) and community-based aged care settings (formal care provided at home or in the community). The dashboard will comprise integrated data to provide an € at-a-glance' overview of aged care clients, indicators to identify clients at risk of fall-related hospitalisations and poor quality of life, and evidence-based decision support to minimise these risks. Longer term plans for dashboard implementation and evaluation are also outlined. Methods This mixed-method study will involve (1) co-designing dashboard features with aged care staff, clients, informal caregivers and general practitioners (GPs), (2) integrating aged care data silos and developing risk models, and (3) testing dashboard prototypes with users. The dashboard features will be informed by direct observations of routine work, interviews, focus groups and co-design groups with users, and a community forum. Multivariable discrete time survival models will be used to develop risk indicators, using predictors from linked historical aged care and hospital data. Dashboard prototype testing will comprise interviews, focus groups and walk-through scenarios using a think-aloud approach with staff members, clients and informal caregivers, and a GP workshop. Ethics and dissemination This study has received ethical approval from the New South Wales (NSW) Population & Health Services Research Ethics Committee and Macquarie University's Human Research Ethics Committee. The research findings will be presented to the aged care provider who will share results with staff members, clients, residents and informal caregivers. Findings will be disseminated as peer-reviewed journal articles, policy briefs and conference presentations. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Note
Open access journalISSN
2044-6055Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1136/bmjopen-2021-048657
Scopus Count
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Except where otherwise noted, this item's license is described as Copyright © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC.