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A comparison of methods for health policy evaluation with controlled pre‐post designs

OBJECTIVE: To compare interactive fixed effects (IFE) and generalized synthetic control (GSC) methods to methods prevalent in health policy evaluation and re‐evaluate the impact of the hip fracture best practice tariffs introduced for hospitals in England in 2010. DATA SOURCES: Simulations and Hospi...

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Autores principales: O'Neill, Stephen, Kreif, Noemi, Sutton, Matt, Grieve, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080394/
https://www.ncbi.nlm.nih.gov/pubmed/32052455
http://dx.doi.org/10.1111/1475-6773.13274
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author O'Neill, Stephen
Kreif, Noemi
Sutton, Matt
Grieve, Richard
author_facet O'Neill, Stephen
Kreif, Noemi
Sutton, Matt
Grieve, Richard
author_sort O'Neill, Stephen
collection PubMed
description OBJECTIVE: To compare interactive fixed effects (IFE) and generalized synthetic control (GSC) methods to methods prevalent in health policy evaluation and re‐evaluate the impact of the hip fracture best practice tariffs introduced for hospitals in England in 2010. DATA SOURCES: Simulations and Hospital Episode Statistics. STUDY DESIGN: Best practice tariffs aimed to incentivize providers to deliver care in line with guidelines. Under the scheme, 62 providers received an additional payment for each hip fracture admission, while 49 providers did not. We estimate the impact using difference‐in‐differences (DiD), synthetic control (SC), IFE, and GSC methods. We contrast the estimation methods' performance in a Monte Carlo simulation study. PRINCIPAL FINDINGS: Unlike DiD, SC, and IFE methods, the GSC method provided reliable estimates across a range of simulation scenarios and was preferred for this case study. The introduction of best practice tariffs led to a 5.9 (confidence interval: 2.0 to 9.9) percentage point increase in the proportion of patients having surgery within 48 hours and a statistically insignificant 0.6 (confidence interval: −1.4 to 0.4) percentage point reduction in 30‐day mortality. CONCLUSIONS: The GSC approach is an attractive method for health policy evaluation. We cannot be confident that best practice tariffs were effective.
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spelling pubmed-70803942020-10-08 A comparison of methods for health policy evaluation with controlled pre‐post designs O'Neill, Stephen Kreif, Noemi Sutton, Matt Grieve, Richard Health Serv Res Methods Corner OBJECTIVE: To compare interactive fixed effects (IFE) and generalized synthetic control (GSC) methods to methods prevalent in health policy evaluation and re‐evaluate the impact of the hip fracture best practice tariffs introduced for hospitals in England in 2010. DATA SOURCES: Simulations and Hospital Episode Statistics. STUDY DESIGN: Best practice tariffs aimed to incentivize providers to deliver care in line with guidelines. Under the scheme, 62 providers received an additional payment for each hip fracture admission, while 49 providers did not. We estimate the impact using difference‐in‐differences (DiD), synthetic control (SC), IFE, and GSC methods. We contrast the estimation methods' performance in a Monte Carlo simulation study. PRINCIPAL FINDINGS: Unlike DiD, SC, and IFE methods, the GSC method provided reliable estimates across a range of simulation scenarios and was preferred for this case study. The introduction of best practice tariffs led to a 5.9 (confidence interval: 2.0 to 9.9) percentage point increase in the proportion of patients having surgery within 48 hours and a statistically insignificant 0.6 (confidence interval: −1.4 to 0.4) percentage point reduction in 30‐day mortality. CONCLUSIONS: The GSC approach is an attractive method for health policy evaluation. We cannot be confident that best practice tariffs were effective. John Wiley and Sons Inc. 2020-02-12 2020-04 /pmc/articles/PMC7080394/ /pubmed/32052455 http://dx.doi.org/10.1111/1475-6773.13274 Text en © 2020 The Authors. Health Services Research published by Wiley Periodicals, Inc. on behalf of Health Research and Educational Trust This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Corner
O'Neill, Stephen
Kreif, Noemi
Sutton, Matt
Grieve, Richard
A comparison of methods for health policy evaluation with controlled pre‐post designs
title A comparison of methods for health policy evaluation with controlled pre‐post designs
title_full A comparison of methods for health policy evaluation with controlled pre‐post designs
title_fullStr A comparison of methods for health policy evaluation with controlled pre‐post designs
title_full_unstemmed A comparison of methods for health policy evaluation with controlled pre‐post designs
title_short A comparison of methods for health policy evaluation with controlled pre‐post designs
title_sort comparison of methods for health policy evaluation with controlled pre‐post designs
topic Methods Corner
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7080394/
https://www.ncbi.nlm.nih.gov/pubmed/32052455
http://dx.doi.org/10.1111/1475-6773.13274
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