2018
DOI: 10.1093/ageing/afy137
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Identifying care-home residents in routine healthcare datasets: a diagnostic test accuracy study of five methods

Abstract: more complex address matching methods greatly improve identification compared to the existing NHS Scotland flag or postcode matching, although no method achieved both sensitivity and positive predictive value > 95%. Choice of method and cut-offs will be determined by the specific needs of researchers and practitioners.

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Cited by 24 publications
(29 citation statements)
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“…Further research is needed to explore the underlying reasons for this trend, and its implications for providing good quality end of life care to all LTCF residents. The inclusion of LTCF residents in nationally representative epidemiological studies, allowing for longitudinal analysis of characteristics prior to admission [54] and better identification of LTCF residents in existing routinely collected datasets [55], would greatly support research in this area.…”
Section: Implications For Future Research Policy and Practicementioning
confidence: 99%
“…Further research is needed to explore the underlying reasons for this trend, and its implications for providing good quality end of life care to all LTCF residents. The inclusion of LTCF residents in nationally representative epidemiological studies, allowing for longitudinal analysis of characteristics prior to admission [54] and better identification of LTCF residents in existing routinely collected datasets [55], would greatly support research in this area.…”
Section: Implications For Future Research Policy and Practicementioning
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 care home population is difficult to identify within UK routine data sources [19,20], thus the existence of a national data source offers significant potential. Making the SCHC linkable to other routine data sources provides opportunities to enhance the information collected within the census to help understand a difficult to research population [21].…”
Section: Strengthsmentioning
confidence: 99%
“…The SCHC data have been included as one of several care home data sources to ascertain care home admission as a clinical trial outcome. In this project, two randomised trial cohorts were linked to care home data sources to investigate the association between statin use and the need for institutional care [20]. The primary purpose of linking the SCHC data was to explore pathways into care from hospital, compared to those who move from the community.…”
Section: Usage To Datementioning
confidence: 99%