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Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis

BACKGROUND: Health care funding reforms are being used worldwide to improve system performance but may invoke unintended consequences. We assessed the effects of introducing a targeted hospital funding model, based on fixed price and volume, for hip fractures. We hypothesized the policy change was a...

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Autores principales: Pincus, Daniel, Widdifield, Jessica, Palmer, Karen S., Paterson, J. Michael, Li, Alvin, Huang, Anjie, Wasserstein, David, Lapointe-Shaw, Lauren, Brown, Adalsteinn, Taljaard, Monica, Ivers, Noah M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201723/
https://www.ncbi.nlm.nih.gov/pubmed/34120597
http://dx.doi.org/10.1186/s12913-021-06601-2
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author Pincus, Daniel
Widdifield, Jessica
Palmer, Karen S.
Paterson, J. Michael
Li, Alvin
Huang, Anjie
Wasserstein, David
Lapointe-Shaw, Lauren
Brown, Adalsteinn
Taljaard, Monica
Ivers, Noah M.
author_facet Pincus, Daniel
Widdifield, Jessica
Palmer, Karen S.
Paterson, J. Michael
Li, Alvin
Huang, Anjie
Wasserstein, David
Lapointe-Shaw, Lauren
Brown, Adalsteinn
Taljaard, Monica
Ivers, Noah M.
author_sort Pincus, Daniel
collection PubMed
description BACKGROUND: Health care funding reforms are being used worldwide to improve system performance but may invoke unintended consequences. We assessed the effects of introducing a targeted hospital funding model, based on fixed price and volume, for hip fractures. We hypothesized the policy change was associated with reduction in wait times for hip fracture surgery, increase in wait times for non-hip fracture surgery, and increase in the incidence of after-hours hip fracture surgery. METHODS: This was a population-based, interrupted time series analysis of 49,097 surgeries for hip fractures, 10,474 for ankle fractures, 1,594 for tibial plateau fractures, and 40,898 for appendectomy at all hospitals in Ontario, Canada between April 2012 and March 2017. We used segmented regression analysis of interrupted monthly time series data to evaluate the impact of funding reform enacted April 1, 2014 on wait time for hip fracture repair (from hospital presentation to surgery) and after-hours provision of surgery (occurring between 1700 and 0700 h). To assess potential adverse consequences of the reform, we also evaluated two control procedures, ankle and tibial plateau fracture surgery. Appendectomy served as a non-orthopedic tracer for assessment of secular trends. RESULTS: The difference (95 % confidence interval) between the actual mean wait time and the predicted rate had the policy change not occurred was − 0.46 h (-3.94 h, 3.03 h) for hip fractures, 1.46 h (-3.58 h, 6.50 h) for ankle fractures, -3.22 h (-39.39 h, 32.95 h) for tibial plateau fractures, and 0.33 h (-0.57 h, 1.24 h) for appendectomy (Figure 1; Table 3). The difference (95 % confidence interval) between the actual and predicted percentage of surgeries performed after-hours − 0.90 % (-3.91 %, 2.11 %) for hip fractures, -3.54 % (-11.25 %, 4.16 %) for ankle fractures, 7.09 % (-7.97 %, 22.14 %) for tibial plateau fractures, and 1.07 % (-2.45 %, 4.59 %) for appendectomy. CONCLUSIONS: We found no significant effects of a targeted hospital funding model based on fixed price and volume on wait times or the provision of after-hours surgery. Other approaches for improving hip fracture wait times may be worth pursuing instead of funding reform. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06601-2.
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spelling pubmed-82017232021-06-15 Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis Pincus, Daniel Widdifield, Jessica Palmer, Karen S. Paterson, J. Michael Li, Alvin Huang, Anjie Wasserstein, David Lapointe-Shaw, Lauren Brown, Adalsteinn Taljaard, Monica Ivers, Noah M. BMC Health Serv Res Research Article BACKGROUND: Health care funding reforms are being used worldwide to improve system performance but may invoke unintended consequences. We assessed the effects of introducing a targeted hospital funding model, based on fixed price and volume, for hip fractures. We hypothesized the policy change was associated with reduction in wait times for hip fracture surgery, increase in wait times for non-hip fracture surgery, and increase in the incidence of after-hours hip fracture surgery. METHODS: This was a population-based, interrupted time series analysis of 49,097 surgeries for hip fractures, 10,474 for ankle fractures, 1,594 for tibial plateau fractures, and 40,898 for appendectomy at all hospitals in Ontario, Canada between April 2012 and March 2017. We used segmented regression analysis of interrupted monthly time series data to evaluate the impact of funding reform enacted April 1, 2014 on wait time for hip fracture repair (from hospital presentation to surgery) and after-hours provision of surgery (occurring between 1700 and 0700 h). To assess potential adverse consequences of the reform, we also evaluated two control procedures, ankle and tibial plateau fracture surgery. Appendectomy served as a non-orthopedic tracer for assessment of secular trends. RESULTS: The difference (95 % confidence interval) between the actual mean wait time and the predicted rate had the policy change not occurred was − 0.46 h (-3.94 h, 3.03 h) for hip fractures, 1.46 h (-3.58 h, 6.50 h) for ankle fractures, -3.22 h (-39.39 h, 32.95 h) for tibial plateau fractures, and 0.33 h (-0.57 h, 1.24 h) for appendectomy (Figure 1; Table 3). The difference (95 % confidence interval) between the actual and predicted percentage of surgeries performed after-hours − 0.90 % (-3.91 %, 2.11 %) for hip fractures, -3.54 % (-11.25 %, 4.16 %) for ankle fractures, 7.09 % (-7.97 %, 22.14 %) for tibial plateau fractures, and 1.07 % (-2.45 %, 4.59 %) for appendectomy. CONCLUSIONS: We found no significant effects of a targeted hospital funding model based on fixed price and volume on wait times or the provision of after-hours surgery. Other approaches for improving hip fracture wait times may be worth pursuing instead of funding reform. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06601-2. BioMed Central 2021-06-13 /pmc/articles/PMC8201723/ /pubmed/34120597 http://dx.doi.org/10.1186/s12913-021-06601-2 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 Article
Pincus, Daniel
Widdifield, Jessica
Palmer, Karen S.
Paterson, J. Michael
Li, Alvin
Huang, Anjie
Wasserstein, David
Lapointe-Shaw, Lauren
Brown, Adalsteinn
Taljaard, Monica
Ivers, Noah M.
Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
title Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
title_full Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
title_fullStr Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
title_full_unstemmed Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
title_short Effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
title_sort effects of hospital funding reform on wait times for hip fracture surgery: a population-based interrupted time-series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201723/
https://www.ncbi.nlm.nih.gov/pubmed/34120597
http://dx.doi.org/10.1186/s12913-021-06601-2
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