@inproceedings{bce984eca42e4f28ae9a13ebcd566742,
title = "Characteristics and hospital activity of elderly patients receiving admission avoidance home visits: a population-level record linkage study",
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, informatics",
author = "Martin, {Maria Cristina} and Matt-Mouley Bouamrane and Paul Woolman and Kimberley Kavanagh and David Young",
year = "2019",
month = nov,
day = "21",
doi = "10.3233/SHTI190284",
language = "English",
isbn = "9781643680026",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "556--560",
editor = "Lucila Ohno-Machado and Brigitte S{\'e}roussi",
booktitle = "MEDINFO 2019",
address = "Netherlands",
note = "17th World Congress on Medical and Health Informatics, MEDINFO 2019 ; Conference date: 25-08-2019 Through 30-08-2019",
}