Cargando…
ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK
This cross-sectional quantitative sub-project assessed the association of organizational context (modifiable elements of work environments) with quality indicators (QIs) at the clinical microsystem (care unit) level. We used TREC data collected 09/2019-03/2020. The sample included 285 care units wit...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9766813/ http://dx.doi.org/10.1093/geroni/igac059.1240 |
_version_ | 1784853821785112576 |
---|---|
author | Duan, Yinfei Iaconi, Alba Song, Yuting Hoben, Matthias Hayduk, Leslie Norton, Peter Estabrooks, Carole |
author_facet | Duan, Yinfei Iaconi, Alba Song, Yuting Hoben, Matthias Hayduk, Leslie Norton, Peter Estabrooks, Carole |
author_sort | Duan, Yinfei |
collection | PubMed |
description | This cross-sectional quantitative sub-project assessed the association of organizational context (modifiable elements of work environments) with quality indicators (QIs) at the clinical microsystem (care unit) level. We used TREC data collected 09/2019-03/2020. The sample included 285 care units within 91 Western Canadian nursing homes. Outcomes included thirteen practice-sensitive QIs derived from the Minimum Data Set 2.0. Results from random-intercept logistic regression for each dichotomized QI showed that higher unit-aggregated scores on contextual elements as identified by the Alberta Context Tool, specifically care aide participation in decision-making (OR=3.7-8.4, p<.05), care aide perceived staffing (OR=2.6, p<.05) and time for completing tasks (OR=5.1-7.0, p<.05), and care aide rated unit-level leadership (OR=20.1, p<.05), were associated with a better unit-level performance on delirium symptoms, indwelling catheter use, behavioral symptoms, pain, and late-loss physical function. The findings suggest that targeting modifiable contextual elements is an important avenue for quality improvement interventions in nursing homes. |
format | Online Article Text |
id | pubmed-9766813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97668132022-12-20 ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK Duan, Yinfei Iaconi, Alba Song, Yuting Hoben, Matthias Hayduk, Leslie Norton, Peter Estabrooks, Carole Innov Aging Abstracts This cross-sectional quantitative sub-project assessed the association of organizational context (modifiable elements of work environments) with quality indicators (QIs) at the clinical microsystem (care unit) level. We used TREC data collected 09/2019-03/2020. The sample included 285 care units within 91 Western Canadian nursing homes. Outcomes included thirteen practice-sensitive QIs derived from the Minimum Data Set 2.0. Results from random-intercept logistic regression for each dichotomized QI showed that higher unit-aggregated scores on contextual elements as identified by the Alberta Context Tool, specifically care aide participation in decision-making (OR=3.7-8.4, p<.05), care aide perceived staffing (OR=2.6, p<.05) and time for completing tasks (OR=5.1-7.0, p<.05), and care aide rated unit-level leadership (OR=20.1, p<.05), were associated with a better unit-level performance on delirium symptoms, indwelling catheter use, behavioral symptoms, pain, and late-loss physical function. The findings suggest that targeting modifiable contextual elements is an important avenue for quality improvement interventions in nursing homes. Oxford University Press 2022-12-20 /pmc/articles/PMC9766813/ http://dx.doi.org/10.1093/geroni/igac059.1240 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Duan, Yinfei Iaconi, Alba Song, Yuting Hoben, Matthias Hayduk, Leslie Norton, Peter Estabrooks, Carole ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK |
title | ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK |
title_full | ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK |
title_fullStr | ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK |
title_full_unstemmed | ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK |
title_short | ORGANIZATIONAL CONTEXT AND QUALITY INDICATORS IN NURSING HOMES: A MICROSYSTEM LOOK |
title_sort | organizational context and quality indicators in nursing homes: a microsystem look |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9766813/ http://dx.doi.org/10.1093/geroni/igac059.1240 |
work_keys_str_mv | AT duanyinfei organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook AT iaconialba organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook AT songyuting organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook AT hobenmatthias organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook AT haydukleslie organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook AT nortonpeter organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook AT estabrookscarole organizationalcontextandqualityindicatorsinnursinghomesamicrosystemlook |