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Developing quality indicators for in-patient post-acute care

BACKGROUND: This paper describes an integrated series of functional, clinical, and discharge post-acute care (PAC) quality indicators (QIs) and an examination of the distribution of the QIs in skilled nursing facilities (SNF) across the US. The indicators use items available in interRAI based assess...

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Autores principales: Morris, John N., Berg, Katherine, Topinkova, Eva, Gray, Leonard C., Schachter, Erez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042453/
https://www.ncbi.nlm.nih.gov/pubmed/29996767
http://dx.doi.org/10.1186/s12877-018-0842-z
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author Morris, John N.
Berg, Katherine
Topinkova, Eva
Gray, Leonard C.
Schachter, Erez
author_facet Morris, John N.
Berg, Katherine
Topinkova, Eva
Gray, Leonard C.
Schachter, Erez
author_sort Morris, John N.
collection PubMed
description BACKGROUND: This paper describes an integrated series of functional, clinical, and discharge post-acute care (PAC) quality indicators (QIs) and an examination of the distribution of the QIs in skilled nursing facilities (SNF) across the US. The indicators use items available in interRAI based assessments including the MDS 3.0 and are designed for use in in-patient post-acute environments that use the assessments. METHODS: Data Source: MDS 3.0 computerized assessments mandated for all patients admitted to US skilled nursing facilities (SNF) in 2012. In total, 2,380,213 patients were admitted to SNFs for post-acute care. Definition of the QI numerator, denominator and covariate structures were based on MDS assessment items. A regression strategy modeling the “discharge to the community” PAC QI as the dependent variable was used to identify how to bring together a subset of seven candidate PAC QIs for inclusion in a summary scale. Finally, the distributional property of the summary scale (the PAC QI Summary Scale) across all facilities was explored. RESULTS: The risk-adjusted PAC QIs include indicators of improved status, including measures of early, middle, and late-loss functional performance, as well as measures of walking and changed clinical status and an overall summary functional scale. Many but not all patients demonstrated improvement from baseline to follow-up. However, there was substantial inter-state variation in the summary QI scores across the SNFs. CONCLUSIONS: The set of PAC QIs consist of five functional, two discharge and eight clinical measures, and one summary scale. All QIs can be derived from multiple interRAI assessment tools, including the MDS 2.0, interRAI-LTCF, MDS 3.0, and the interRAI-PAC-Rehab. These measures are appropriate for wide distribution in and out of the United States, allowing comparison and discussion of practices associated with better outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0842-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-60424532018-07-13 Developing quality indicators for in-patient post-acute care Morris, John N. Berg, Katherine Topinkova, Eva Gray, Leonard C. Schachter, Erez BMC Geriatr Research Article BACKGROUND: This paper describes an integrated series of functional, clinical, and discharge post-acute care (PAC) quality indicators (QIs) and an examination of the distribution of the QIs in skilled nursing facilities (SNF) across the US. The indicators use items available in interRAI based assessments including the MDS 3.0 and are designed for use in in-patient post-acute environments that use the assessments. METHODS: Data Source: MDS 3.0 computerized assessments mandated for all patients admitted to US skilled nursing facilities (SNF) in 2012. In total, 2,380,213 patients were admitted to SNFs for post-acute care. Definition of the QI numerator, denominator and covariate structures were based on MDS assessment items. A regression strategy modeling the “discharge to the community” PAC QI as the dependent variable was used to identify how to bring together a subset of seven candidate PAC QIs for inclusion in a summary scale. Finally, the distributional property of the summary scale (the PAC QI Summary Scale) across all facilities was explored. RESULTS: The risk-adjusted PAC QIs include indicators of improved status, including measures of early, middle, and late-loss functional performance, as well as measures of walking and changed clinical status and an overall summary functional scale. Many but not all patients demonstrated improvement from baseline to follow-up. However, there was substantial inter-state variation in the summary QI scores across the SNFs. CONCLUSIONS: The set of PAC QIs consist of five functional, two discharge and eight clinical measures, and one summary scale. All QIs can be derived from multiple interRAI assessment tools, including the MDS 2.0, interRAI-LTCF, MDS 3.0, and the interRAI-PAC-Rehab. These measures are appropriate for wide distribution in and out of the United States, allowing comparison and discussion of practices associated with better outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0842-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-11 /pmc/articles/PMC6042453/ /pubmed/29996767 http://dx.doi.org/10.1186/s12877-018-0842-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Morris, John N.
Berg, Katherine
Topinkova, Eva
Gray, Leonard C.
Schachter, Erez
Developing quality indicators for in-patient post-acute care
title Developing quality indicators for in-patient post-acute care
title_full Developing quality indicators for in-patient post-acute care
title_fullStr Developing quality indicators for in-patient post-acute care
title_full_unstemmed Developing quality indicators for in-patient post-acute care
title_short Developing quality indicators for in-patient post-acute care
title_sort developing quality indicators for in-patient post-acute care
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042453/
https://www.ncbi.nlm.nih.gov/pubmed/29996767
http://dx.doi.org/10.1186/s12877-018-0842-z
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