Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study
Alternative title Martin-Bouamrane-etAl-MEDINFO 2019
Book Chapter
Alternative title Martin-Bouamrane-etAl-MEDINFO 2019
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.) MEDINFO 2019: Health and Wellbeing e-Networks for All. Studies in Health Technology and Informatics, Vol 264. IOS Press, pp. 556 - 560. https://doi.org/10.3233/shti190284
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.
Keywords
Evaluation Research; Home Care Services; Health Informatics
Status | Published |
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Title of series | Studies in Health Technology and Informatics |
Number in series | Vol 264 |
Publication date | 31/12/2019 |
Publication date online | 21/11/2019 |
URL | http://hdl.handle.net/1893/36200 |
Publisher | IOS Press |
ISBN | 9781643680026 |
eISBN | 9781643680033 |
Professor Matt-Mouley Bouamrane
Professor in Health/Social Informatics, Computing Science