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The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study
BACKGROUND: Excessive waiting times for cancer elective surgery are a concern in publicly funded healthcare systems. Several countries including Australia have introduced healthcare reforms involving time-based targets and public performance reporting (PPR) of hospital data. However, there is mixed...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871621/ https://www.ncbi.nlm.nih.gov/pubmed/33557805 http://dx.doi.org/10.1186/s12913-021-06132-w |
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author | Prang, Khic-Houy Canaway, Rachel Bismark, Marie Dunt, David Miller, Julie A. Kelaher, Margaret |
author_facet | Prang, Khic-Houy Canaway, Rachel Bismark, Marie Dunt, David Miller, Julie A. Kelaher, Margaret |
author_sort | Prang, Khic-Houy |
collection | PubMed |
description | BACKGROUND: Excessive waiting times for cancer elective surgery are a concern in publicly funded healthcare systems. Several countries including Australia have introduced healthcare reforms involving time-based targets and public performance reporting (PPR) of hospital data. However, there is mixed evidence of their benefits. We sought to examine the impact of targets and PPR of cancer elective surgery waiting times on access to breast, bowel and lung cancer elective surgery. METHODS: We analysed routinely-collected linked data on admissions and waiting times for patients aged 15 years or over (n = 199,885) who underwent cancer surgery in a public hospital in Victoria, Australia over a 10-year period. We conducted difference-in-differences analyses to compare waiting times before (2006–07 to 2011–12) and after (2012–13 to 2015–16) the introduction of PPR in meeting these targets. RESULTS: Across all cancer types, urgent patients were all treated within 30 days before and after PPR. Following PPR, there was a slight increase in the mean waiting times across all cancer types and urgency categories. Patients with lung cancer waited on average two and half days longer for treatment and patients with breast cancer waited on average half-a-day less. There was no effect of PPR on waiting times for patients with bowel cancer across urgency categories. CONCLUSIONS: Our findings suggest that time-based targets and PPR had minimal impact on surgical waiting times. This may be due to reasonable waiting times prior to PPR, improved efficiency being masked by 20% growth in the population, lack of public knowledge that waiting times are publicly reported, or lack of real-time reporting to drive behavioural change. The use of generic elective surgery recommended waiting time measures for cancer is discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06132-w. |
format | Online Article Text |
id | pubmed-7871621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78716212021-02-09 The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study Prang, Khic-Houy Canaway, Rachel Bismark, Marie Dunt, David Miller, Julie A. Kelaher, Margaret BMC Health Serv Res Research Article BACKGROUND: Excessive waiting times for cancer elective surgery are a concern in publicly funded healthcare systems. Several countries including Australia have introduced healthcare reforms involving time-based targets and public performance reporting (PPR) of hospital data. However, there is mixed evidence of their benefits. We sought to examine the impact of targets and PPR of cancer elective surgery waiting times on access to breast, bowel and lung cancer elective surgery. METHODS: We analysed routinely-collected linked data on admissions and waiting times for patients aged 15 years or over (n = 199,885) who underwent cancer surgery in a public hospital in Victoria, Australia over a 10-year period. We conducted difference-in-differences analyses to compare waiting times before (2006–07 to 2011–12) and after (2012–13 to 2015–16) the introduction of PPR in meeting these targets. RESULTS: Across all cancer types, urgent patients were all treated within 30 days before and after PPR. Following PPR, there was a slight increase in the mean waiting times across all cancer types and urgency categories. Patients with lung cancer waited on average two and half days longer for treatment and patients with breast cancer waited on average half-a-day less. There was no effect of PPR on waiting times for patients with bowel cancer across urgency categories. CONCLUSIONS: Our findings suggest that time-based targets and PPR had minimal impact on surgical waiting times. This may be due to reasonable waiting times prior to PPR, improved efficiency being masked by 20% growth in the population, lack of public knowledge that waiting times are publicly reported, or lack of real-time reporting to drive behavioural change. The use of generic elective surgery recommended waiting time measures for cancer is discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06132-w. BioMed Central 2021-02-08 /pmc/articles/PMC7871621/ /pubmed/33557805 http://dx.doi.org/10.1186/s12913-021-06132-w Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Prang, Khic-Houy Canaway, Rachel Bismark, Marie Dunt, David Miller, Julie A. Kelaher, Margaret The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
title | The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
title_full | The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
title_fullStr | The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
title_full_unstemmed | The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
title_short | The impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
title_sort | impact of public performance reporting on cancer elective surgery waiting times: a data linkage study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871621/ https://www.ncbi.nlm.nih.gov/pubmed/33557805 http://dx.doi.org/10.1186/s12913-021-06132-w |
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