Abstract
As pressures on healthcare systems increase, due to an ageing population, hospital admission avoidance interventions have been emphasised. These interventions can be difficult to objectively evaluate due to non-randomised roll-out, requiring observational methods with carefully selected control groups. This study aims to identify the defining characteristics of elderly patients receiving admission avoidance home visits. We conducted a record linkage study using routinely collected data to compare characteristics and outcomes of the general elderly population and a subset of high-risk patients. Intervention patients were found to have significantly different demographics and admission rates compared to the general population, having four times higher admission rates at baseline. However, they share similarities with high-risk patients, particularly in that after a period of increased admissions, both groups experienced a reduction in the following year. Identifying defining characteristics of the target intervention population can guide the careful selection of a control group for evaluation.
Original language | English |
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Title of host publication | MEDINFO 2019 |
Subtitle of host publication | Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics |
Editors | Lucila Ohno-Machado, Brigitte Séroussi |
Place of Publication | Amsterdam |
Publisher | IOS Press |
Pages | 556-560 |
Number of pages | 5 |
ISBN (Print) | 9781643680026 |
DOIs | |
Publication status | Published - 21 Nov 2019 |
Event | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: 25 Aug 2019 → 30 Aug 2019 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 264 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Conference
Conference | 17th World Congress on Medical and Health Informatics, MEDINFO 2019 |
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Country/Territory | France |
City | Lyon |
Period | 25/08/19 → 30/08/19 |
Funding
This research is supported by a University of Strathclyde / Capita Strategic Technology Partnership PhD scholarship (2016-2019). We would like to acknowledge practical support provided by NHS FV, the ‘Closer to Home’ team and ISD.
Keywords
- evaluation research
- home care services
- informatics