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Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review

BACKGROUND: Activity-Based Funding (ABF) has been implemented across many countries as a means to incentivise efficient hospital care delivery and resource use. Previous reviews have assessed the impact of ABF implementation on a range of outcomes across health systems. However, no comprehensive rev...

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Autores principales: Valentelyte, Gintare, Keegan, Conor, Sorensen, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132407/
https://www.ncbi.nlm.nih.gov/pubmed/34003386
http://dx.doi.org/10.1186/s13561-021-00315-1
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author Valentelyte, Gintare
Keegan, Conor
Sorensen, Jan
author_facet Valentelyte, Gintare
Keegan, Conor
Sorensen, Jan
author_sort Valentelyte, Gintare
collection PubMed
description BACKGROUND: Activity-Based Funding (ABF) has been implemented across many countries as a means to incentivise efficient hospital care delivery and resource use. Previous reviews have assessed the impact of ABF implementation on a range of outcomes across health systems. However, no comprehensive review of the methods used to generate this evidence has been undertaken. The aim of this review is to identify and assess the analytical methods employed in research on ABF hospital performance outcomes. METHODS: We conducted a scoping review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. Five academic databases and reference lists of included studies were used to identify studies assessing the impact of ABF on hospital performance outcomes. Peer-reviewed quantitative studies published between 2000 and 2019 considering ABF implementation outside the U.S. were included. Qualitative studies, policy discussions and commentaries were excluded. Abstracts and full text studies were double screened to ensure consistency. All analytical approaches and their relative strengths and weaknesses were charted and summarised. RESULTS: We identified 19 studies that assessed hospital performance outcomes from introduction of ABF in England, Korea, Norway, Portugal, Israel, the Netherlands, Canada, Italy, Japan, Belgium, China, and Austria. Quasi-experimental methods were used across most reviewed studies. The most commonly used assessment methods were different forms of interrupted time series analyses. Few studies used difference-in-differences or similar methods to compare outcome changes over time relative to comparator groups. The main hospital performance outcome measures examined were case numbers, length of stay, mortality and readmission. CONCLUSIONS: Non-experimental study designs continue to be the most widely used method in the assessment of ABF impacts. Quasi-experimental approaches examining the impact of ABF implementation on outcomes relative to comparator groups not subject to the reform should be applied where possible to facilitate identification of effects. These approaches provide a more robust evidence-base for informing future financing reform and policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13561-021-00315-1.
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spelling pubmed-81324072021-05-19 Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review Valentelyte, Gintare Keegan, Conor Sorensen, Jan Health Econ Rev Research BACKGROUND: Activity-Based Funding (ABF) has been implemented across many countries as a means to incentivise efficient hospital care delivery and resource use. Previous reviews have assessed the impact of ABF implementation on a range of outcomes across health systems. However, no comprehensive review of the methods used to generate this evidence has been undertaken. The aim of this review is to identify and assess the analytical methods employed in research on ABF hospital performance outcomes. METHODS: We conducted a scoping review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. Five academic databases and reference lists of included studies were used to identify studies assessing the impact of ABF on hospital performance outcomes. Peer-reviewed quantitative studies published between 2000 and 2019 considering ABF implementation outside the U.S. were included. Qualitative studies, policy discussions and commentaries were excluded. Abstracts and full text studies were double screened to ensure consistency. All analytical approaches and their relative strengths and weaknesses were charted and summarised. RESULTS: We identified 19 studies that assessed hospital performance outcomes from introduction of ABF in England, Korea, Norway, Portugal, Israel, the Netherlands, Canada, Italy, Japan, Belgium, China, and Austria. Quasi-experimental methods were used across most reviewed studies. The most commonly used assessment methods were different forms of interrupted time series analyses. Few studies used difference-in-differences or similar methods to compare outcome changes over time relative to comparator groups. The main hospital performance outcome measures examined were case numbers, length of stay, mortality and readmission. CONCLUSIONS: Non-experimental study designs continue to be the most widely used method in the assessment of ABF impacts. Quasi-experimental approaches examining the impact of ABF implementation on outcomes relative to comparator groups not subject to the reform should be applied where possible to facilitate identification of effects. These approaches provide a more robust evidence-base for informing future financing reform and policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13561-021-00315-1. Springer Berlin Heidelberg 2021-05-18 /pmc/articles/PMC8132407/ /pubmed/34003386 http://dx.doi.org/10.1186/s13561-021-00315-1 Text en © The Author(s) 2021 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
Valentelyte, Gintare
Keegan, Conor
Sorensen, Jan
Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review
title Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review
title_full Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review
title_fullStr Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review
title_full_unstemmed Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review
title_short Analytical methods to assess the impacts of activity-based funding (ABF): a scoping review
title_sort analytical methods to assess the impacts of activity-based funding (abf): a scoping review
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132407/
https://www.ncbi.nlm.nih.gov/pubmed/34003386
http://dx.doi.org/10.1186/s13561-021-00315-1
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