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Identifying patterns of potentially preventable hospitalisations in people living with dementia
BACKGROUND: Older Australians make up 46% of all potentially preventable hospitalisations (PPHs) and people living with dementia are at significantly greater risk. While policy reforms aim to reduce PPHs, there is currently little evidence available on what drives this, especially for people living...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208182/ https://www.ncbi.nlm.nih.gov/pubmed/35725546 http://dx.doi.org/10.1186/s12913-022-08195-9 |
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author | Engel, Lidia Hwang, Kerry Panayiotou, Anita Watts, Jennifer J. Mihalopoulos, Cathrine Temple, Jeromey Batchelor, Frances |
author_facet | Engel, Lidia Hwang, Kerry Panayiotou, Anita Watts, Jennifer J. Mihalopoulos, Cathrine Temple, Jeromey Batchelor, Frances |
author_sort | Engel, Lidia |
collection | PubMed |
description | BACKGROUND: Older Australians make up 46% of all potentially preventable hospitalisations (PPHs) and people living with dementia are at significantly greater risk. While policy reforms aim to reduce PPHs, there is currently little evidence available on what drives this, especially for people living with dementia. This study examines patterns of PPHs in people living with dementia to inform service delivery and the development of evidence-based interventions. METHODS: We used the Victorian Admitted Episodes Dataset from Victoria, Australia, to extract data for people aged 50 and over with a diagnosis of dementia between 2015 and 2016. Potentially avoidable admissions, known as ambulatory care sensitive conditions (ACSCs), were identified. The chi-square test was used to detect differences between admissions for ACSCs and non-ACSCs by demographic, geographical, and administrative factors. Predictors of ACSCs admissions were analysed using univariate and multiple logistic regression. RESULTS: Of the 8156 hospital records, there were 3884 (48%) ACSCs admissions, of which admissions for urinary tract infections accounted for 31%, followed by diabetes complications (21%). Mean bed-days were 8.26 for non-ACSCs compared with 9.74 for ACSCs (p ≤ 0.001). There were no differences between admissions for ACSCs and non-ACSCs by sex, marital status, region (rural vs metro), and admission source (private accommodation vs residential facility). Culture and language predicted ASCS admission rates in the univariate regression analyses, with ACSC admission rates increasing by 20 and 29% if English was not the preferred language or if an interpreter was required, respectively. Results from the multiple regression analysis confirmed that language was a significant predictor of ACSC admission rates. CONCLUSIONS: Improved primary health care may help to reduce the most common causes of PPHs for people living with dementia, particularly for those from culturally and linguistically diverse backgrounds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08195-9. |
format | Online Article Text |
id | pubmed-9208182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92081822022-06-21 Identifying patterns of potentially preventable hospitalisations in people living with dementia Engel, Lidia Hwang, Kerry Panayiotou, Anita Watts, Jennifer J. Mihalopoulos, Cathrine Temple, Jeromey Batchelor, Frances BMC Health Serv Res Research BACKGROUND: Older Australians make up 46% of all potentially preventable hospitalisations (PPHs) and people living with dementia are at significantly greater risk. While policy reforms aim to reduce PPHs, there is currently little evidence available on what drives this, especially for people living with dementia. This study examines patterns of PPHs in people living with dementia to inform service delivery and the development of evidence-based interventions. METHODS: We used the Victorian Admitted Episodes Dataset from Victoria, Australia, to extract data for people aged 50 and over with a diagnosis of dementia between 2015 and 2016. Potentially avoidable admissions, known as ambulatory care sensitive conditions (ACSCs), were identified. The chi-square test was used to detect differences between admissions for ACSCs and non-ACSCs by demographic, geographical, and administrative factors. Predictors of ACSCs admissions were analysed using univariate and multiple logistic regression. RESULTS: Of the 8156 hospital records, there were 3884 (48%) ACSCs admissions, of which admissions for urinary tract infections accounted for 31%, followed by diabetes complications (21%). Mean bed-days were 8.26 for non-ACSCs compared with 9.74 for ACSCs (p ≤ 0.001). There were no differences between admissions for ACSCs and non-ACSCs by sex, marital status, region (rural vs metro), and admission source (private accommodation vs residential facility). Culture and language predicted ASCS admission rates in the univariate regression analyses, with ACSC admission rates increasing by 20 and 29% if English was not the preferred language or if an interpreter was required, respectively. Results from the multiple regression analysis confirmed that language was a significant predictor of ACSC admission rates. CONCLUSIONS: Improved primary health care may help to reduce the most common causes of PPHs for people living with dementia, particularly for those from culturally and linguistically diverse backgrounds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08195-9. BioMed Central 2022-06-20 /pmc/articles/PMC9208182/ /pubmed/35725546 http://dx.doi.org/10.1186/s12913-022-08195-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Engel, Lidia Hwang, Kerry Panayiotou, Anita Watts, Jennifer J. Mihalopoulos, Cathrine Temple, Jeromey Batchelor, Frances Identifying patterns of potentially preventable hospitalisations in people living with dementia |
title | Identifying patterns of potentially preventable hospitalisations in people living with dementia |
title_full | Identifying patterns of potentially preventable hospitalisations in people living with dementia |
title_fullStr | Identifying patterns of potentially preventable hospitalisations in people living with dementia |
title_full_unstemmed | Identifying patterns of potentially preventable hospitalisations in people living with dementia |
title_short | Identifying patterns of potentially preventable hospitalisations in people living with dementia |
title_sort | identifying patterns of potentially preventable hospitalisations in people living with dementia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208182/ https://www.ncbi.nlm.nih.gov/pubmed/35725546 http://dx.doi.org/10.1186/s12913-022-08195-9 |
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