2017
DOI: 10.1093/ageing/afx182
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Accurate identification of hospital admissions from care homes; development and validation of an automated algorithm

Abstract: Backgroundmeasuring the complex needs of care home residents is crucial for resource allocation. Hospital patient administration systems (PAS) may not accurately identify admissions from care homes.Objectiveto develop and validate an accurate, practical method of identifying care home resident hospital admission using routinely collected PAS data.Methodadmissions data between 2011 and 2012 (n = 103,105) to an acute Trust were modelled to develop an automated tool which compared the hospital PAS address details… Show more

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Cited by 17 publications
(19 citation statements)
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“…This is an issue in countries as diverse as England, Austria, Portugal, and Brazil. In England, numerous ongoing research studies are focused on addressing this [ 25 , 26 ]. Countries such as the Netherlands and the United States have more consistent approaches to collecting care home quality benchmarking data [ 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…This is an issue in countries as diverse as England, Austria, Portugal, and Brazil. In England, numerous ongoing research studies are focused on addressing this [ 25 , 26 ]. Countries such as the Netherlands and the United States have more consistent approaches to collecting care home quality benchmarking data [ 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…Concerns over poor recording in administrative data have been highlighted in previous studies [ 21 , 22 ]. This has led to the development of methods to combat poor coding of care home residency [ 23 , 24 ].…”
Section: Limitationsmentioning
confidence: 99%
“…The addresses in the registration system are derived from GP computer systems and it is recognised that these are updated reasonably quickly for patients who enter a care home. 57 However, matching addresses is notoriously difficult as they are often misspelt, abridged or partially incorrect.…”
Section: Northern Irish Datamentioning
confidence: 99%