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Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.

INTRODUCTION: The growing burden of chronic diseases means some governments have been providing financial incentives for multidisciplinary care and self-management support delivered within primary care. Currently, population-based evaluations of the effectiveness of these policies are lacking. AIM:...

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Autores principales: Andrew, NE, Kim, J, Cadilhac, DA, Sundararajan, V, Thrift, AG, Churilov, L, Lannin, NA, Nelson, M, Srikanth, V, Kilkenny, MF
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142961/
https://www.ncbi.nlm.nih.gov/pubmed/34095531
http://dx.doi.org/10.23889/ijpds.v4i1.1097
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author Andrew, NE
Kim, J
Cadilhac, DA
Sundararajan, V
Thrift, AG
Churilov, L
Lannin, NA
Nelson, M
Srikanth, V
Kilkenny, MF
author_facet Andrew, NE
Kim, J
Cadilhac, DA
Sundararajan, V
Thrift, AG
Churilov, L
Lannin, NA
Nelson, M
Srikanth, V
Kilkenny, MF
author_sort Andrew, NE
collection PubMed
description INTRODUCTION: The growing burden of chronic diseases means some governments have been providing financial incentives for multidisciplinary care and self-management support delivered within primary care. Currently, population-based evaluations of the effectiveness of these policies are lacking. AIM: To outline the methodological approach for our study that is designed to evaluate the effectiveness (including cost) of primary care policies for chronic diseases in Australia using stroke as a case study. METHODS: Person-level linkages will be undertaken between registrants from the Australian Stroke Clinical Registry (AuSCR) and (i) Government-held Medicare Australia claims data, to identify receipt or not of chronic disease management and care coordination primary care items; (ii) state government-held hospital data, to define outcomes; and (iii) government-held pharmaceutical and aged care claims data, to define covariates. N=1500 randomly selected AuSCR registrants will be sent surveys to obtain patient experience information. In Australia, unique identifiers are unavailable. Therefore, personal-identifiers will be submitted to government data linkage units. Researchers will merge the de-identified datasets for analysis using a project identifier. An economic evaluation will also be undertaken. ANALYSIS: The index event will be the first stroke recorded in the AuSCR. Multivariable competing risks Poisson regression for multiple events, adjusted by a propensity score, will be used to test for differences in the rates of hospital presentations and medication adherence for different care (policy) types. Our estimated sample size of 25,000 patients will provide 80% estimated power (ɑ>0.05) to detect a 6-8% difference in rates. The incremental costs per Quality-adjusted life years gained of community-based care following the acute event will be estimated from a health sector perspective. CONCLUSION: Completion of this study will provide a novel and comprehensive evaluation of the effectiveness and cost-effectiveness of Australian primary care policies. Its success will enable us to highlight the value of data-linkage for this type of research.
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spelling pubmed-81429612021-06-04 Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study. Andrew, NE Kim, J Cadilhac, DA Sundararajan, V Thrift, AG Churilov, L Lannin, NA Nelson, M Srikanth, V Kilkenny, MF Int J Popul Data Sci Population Data Science INTRODUCTION: The growing burden of chronic diseases means some governments have been providing financial incentives for multidisciplinary care and self-management support delivered within primary care. Currently, population-based evaluations of the effectiveness of these policies are lacking. AIM: To outline the methodological approach for our study that is designed to evaluate the effectiveness (including cost) of primary care policies for chronic diseases in Australia using stroke as a case study. METHODS: Person-level linkages will be undertaken between registrants from the Australian Stroke Clinical Registry (AuSCR) and (i) Government-held Medicare Australia claims data, to identify receipt or not of chronic disease management and care coordination primary care items; (ii) state government-held hospital data, to define outcomes; and (iii) government-held pharmaceutical and aged care claims data, to define covariates. N=1500 randomly selected AuSCR registrants will be sent surveys to obtain patient experience information. In Australia, unique identifiers are unavailable. Therefore, personal-identifiers will be submitted to government data linkage units. Researchers will merge the de-identified datasets for analysis using a project identifier. An economic evaluation will also be undertaken. ANALYSIS: The index event will be the first stroke recorded in the AuSCR. Multivariable competing risks Poisson regression for multiple events, adjusted by a propensity score, will be used to test for differences in the rates of hospital presentations and medication adherence for different care (policy) types. Our estimated sample size of 25,000 patients will provide 80% estimated power (ɑ>0.05) to detect a 6-8% difference in rates. The incremental costs per Quality-adjusted life years gained of community-based care following the acute event will be estimated from a health sector perspective. CONCLUSION: Completion of this study will provide a novel and comprehensive evaluation of the effectiveness and cost-effectiveness of Australian primary care policies. Its success will enable us to highlight the value of data-linkage for this type of research. Swansea University 2019-08-05 /pmc/articles/PMC8142961/ /pubmed/34095531 http://dx.doi.org/10.23889/ijpds.v4i1.1097 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License.
spellingShingle Population Data Science
Andrew, NE
Kim, J
Cadilhac, DA
Sundararajan, V
Thrift, AG
Churilov, L
Lannin, NA
Nelson, M
Srikanth, V
Kilkenny, MF
Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.
title Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.
title_full Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.
title_fullStr Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.
title_full_unstemmed Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.
title_short Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.
title_sort protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (precise): a data linkage healthcare evaluation study.
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142961/
https://www.ncbi.nlm.nih.gov/pubmed/34095531
http://dx.doi.org/10.23889/ijpds.v4i1.1097
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