Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/36200
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Title: Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study
Other Titles: Martin-Bouamrane-etAl-MEDINFO 2019
Author(s): Cristina Martin, Maria
Bouamrane, Matt-Mouley
Woolman, Paul
Kavanagh, Kimberley
Young, David
Contact Email: matt-mouley.bouamrane@stir.ac.uk
Editor(s): Ohno-Machado, Lucila
Seroussi, Brigitte
Citation: Cristina Martin M, Bouamrane M, Woolman P, Kavanagh K & Young D (2019) Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study [Martin-Bouamrane-etAl-MEDINFO 2019]. In: Ohno-Machado L & Seroussi B (eds.) <i>MEDINFO 2019: Health and Wellbeing e-Networks for All</i>. Studies in Health Technology and Informatics, Vol 264. IOS Press, pp. 556 - 560. https://doi.org/10.3233/shti190284
Keywords: Evaluation Research
Home Care Services
Health Informatics
Issue Date: 2019
Date Deposited: 12-Jul-2024
Series/Report no.: Studies in Health Technology and Informatics, Vol 264
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.
Rights: This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
DOI Link: 10.3233/shti190284
Licence URL(s): http://creativecommons.org/licenses/by-nc/4.0/

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