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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7080394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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