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interRAI home care quality indicators
BACKGROUND: This paper describe the development of interRAI’s second-generation home care quality indicators (HC-QIs). They are derived from two of interRAI’s widely used community assessments: the Community Health Assessment and the Home Care Assessment. In this work the form in which the quality p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3870973/ https://www.ncbi.nlm.nih.gov/pubmed/24245920 http://dx.doi.org/10.1186/1471-2318-13-127 |
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author | Morris, John N Fries, Brant E Frijters, Dinnus Hirdes, John P Steel, R Knight |
author_facet | Morris, John N Fries, Brant E Frijters, Dinnus Hirdes, John P Steel, R Knight |
author_sort | Morris, John N |
collection | PubMed |
description | BACKGROUND: This paper describe the development of interRAI’s second-generation home care quality indicators (HC-QIs). They are derived from two of interRAI’s widely used community assessments: the Community Health Assessment and the Home Care Assessment. In this work the form in which the quality problem is specified has been refined, the covariate structure updated, and two summary scales introduced. METHODS: Two data sets were used: at the client and home-care site levels. Client-level data were employed to identify HC-QI covariates. This sample consisted of 335,544 clients from Europe, Canada, and the United States. Program level analyses, where client level data were aggregated at the site level, were also based on the clients from the samples from Europe, Canada, and the United States. There were 1,654 program-based observations – 22% from Europe, 23% from the US, and 55% from Canada. The first task was to identify potential HC-QIs, including both change and prevalence measures. Next, they were reviewed by industry representatives and members of the interRAI network. A two-step process adjustment was followed to identify the most appropriate covariance structure for each HC-QI. Finally, a factor analytic strategy was used to identify HC-QIs that cluster together and thus are candidates for summary scales. RESULTS: The set of risk adjusted HC-QIs are multi-dimensional in scope, including measures of function, clinical complexity, social life, distress, and service use. Two factors were identified. The first includes a set of eleven measures that revolve around the absence of decline. This scale talks about functional independence and engagement. The second factor, anchored on nine functional improvement HC-QIs, referenced positively, this scale indicates a return to clinical balance. CONCLUSIONS: Twenty-three risk-adjusted, HC-QIs are described. Two new summary HC-QI scales, the “Independence Quality Scale” and the “Clinical Balance Quality Scale” are derived. In use at a site, these two scales can provide a macro view of local performance, offering a way for a home care agency to understand its performance. When scales perform less positively, the site then is able to review the HC-QI items that make up the scale, providing a roadmap for areas of greatest concern and in need of targeted interventions. |
format | Online Article Text |
id | pubmed-3870973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38709732013-12-25 interRAI home care quality indicators Morris, John N Fries, Brant E Frijters, Dinnus Hirdes, John P Steel, R Knight BMC Geriatr Research Article BACKGROUND: This paper describe the development of interRAI’s second-generation home care quality indicators (HC-QIs). They are derived from two of interRAI’s widely used community assessments: the Community Health Assessment and the Home Care Assessment. In this work the form in which the quality problem is specified has been refined, the covariate structure updated, and two summary scales introduced. METHODS: Two data sets were used: at the client and home-care site levels. Client-level data were employed to identify HC-QI covariates. This sample consisted of 335,544 clients from Europe, Canada, and the United States. Program level analyses, where client level data were aggregated at the site level, were also based on the clients from the samples from Europe, Canada, and the United States. There were 1,654 program-based observations – 22% from Europe, 23% from the US, and 55% from Canada. The first task was to identify potential HC-QIs, including both change and prevalence measures. Next, they were reviewed by industry representatives and members of the interRAI network. A two-step process adjustment was followed to identify the most appropriate covariance structure for each HC-QI. Finally, a factor analytic strategy was used to identify HC-QIs that cluster together and thus are candidates for summary scales. RESULTS: The set of risk adjusted HC-QIs are multi-dimensional in scope, including measures of function, clinical complexity, social life, distress, and service use. Two factors were identified. The first includes a set of eleven measures that revolve around the absence of decline. This scale talks about functional independence and engagement. The second factor, anchored on nine functional improvement HC-QIs, referenced positively, this scale indicates a return to clinical balance. CONCLUSIONS: Twenty-three risk-adjusted, HC-QIs are described. Two new summary HC-QI scales, the “Independence Quality Scale” and the “Clinical Balance Quality Scale” are derived. In use at a site, these two scales can provide a macro view of local performance, offering a way for a home care agency to understand its performance. When scales perform less positively, the site then is able to review the HC-QI items that make up the scale, providing a roadmap for areas of greatest concern and in need of targeted interventions. BioMed Central 2013-11-19 /pmc/articles/PMC3870973/ /pubmed/24245920 http://dx.doi.org/10.1186/1471-2318-13-127 Text en Copyright © 2013 Morris et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Morris, John N Fries, Brant E Frijters, Dinnus Hirdes, John P Steel, R Knight interRAI home care quality indicators |
title | interRAI home care quality indicators |
title_full | interRAI home care quality indicators |
title_fullStr | interRAI home care quality indicators |
title_full_unstemmed | interRAI home care quality indicators |
title_short | interRAI home care quality indicators |
title_sort | interrai home care quality indicators |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3870973/ https://www.ncbi.nlm.nih.gov/pubmed/24245920 http://dx.doi.org/10.1186/1471-2318-13-127 |
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