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Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study

BACKGROUND: Radical prostatectomy (RP) is a leading treatment option for localised prostate cancer. Although hospital in-patient stays accounts for much of the costs of treatment, little is known about population-level trends in length-of-stay (LOS). We investigated factors predicting hospital LOS a...

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Autores principales: Kelly, Maria, Sharp, Linda, Dwane, Fiona, Kelleher, Tracy, Drummond, Frances J, Comber, Harry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750445/
https://www.ncbi.nlm.nih.gov/pubmed/23816338
http://dx.doi.org/10.1186/1472-6963-13-244
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author Kelly, Maria
Sharp, Linda
Dwane, Fiona
Kelleher, Tracy
Drummond, Frances J
Comber, Harry
author_facet Kelly, Maria
Sharp, Linda
Dwane, Fiona
Kelleher, Tracy
Drummond, Frances J
Comber, Harry
author_sort Kelly, Maria
collection PubMed
description BACKGROUND: Radical prostatectomy (RP) is a leading treatment option for localised prostate cancer. Although hospital in-patient stays accounts for much of the costs of treatment, little is known about population-level trends in length-of-stay (LOS). We investigated factors predicting hospital LOS and readmissions in men who had RP following prostate cancer. METHODS: Incident prostate cancers (ICD-O3: C61), diagnosed January 2002-December 2008 in men < 70 years, were identified from the Irish Cancer Registry, and linked to public hospital episodes. For those who had RP (ICD-9 CM procedure codes 60.3, 60.4, 60.5, 60.62) the associated hospital episode was identified. LOS was calculated as the number of days from date of admission to date of discharge. Patient-, tumour-, and health service-related factors predicting longer LOS (upper quartile, >9 days) were investigated using logistic regression. Patterns in day-case and in-patient readmissions within 28 days of discharge following RP were explored. RESULTS: Over the study period 9096 prostate cancers were diagnosed in men under 70, 26.5% of whom had RP by end of follow-up 31/12/2009. Two of eight public hospitals and eight of forty surgeons carried out 50% of all public-service RPs. Median LOS was 8 days (10th-90th percentile = 6-13 days) and fell significantly over time (2002, 9 days; 2008, 7 days; p < 0.001). In adjusted analyses men who were not married (OR = 1.71, 95% CI 1.25-2.34), had co-morbidities (OR = 1.64, 95% CI 1.25-2.16) or stage III-IV cancer (OR = 2.19, 95% CI 1.44-3.34) were significantly more likely to have prolonged LOS. Those treated in higher volume hospitals (annual median >49 RPs) or by higher volume surgeons (annual median >17 RPs) were significantly less likely to have prolonged LOS (OR = 0.34, 95% CI 0.26-0.45; OR = 0.55, 95% CI 0.42-0.71 respectively). CONCLUSION: Median LOS after RP decreased between 2002 and 2008 in Ireland but it remains higher than in both England and the US. Although volumes of RPs conducted in Ireland are low, there is considerable variation between hospitals and surgeons. Hospital and surgeon volume were strong predictors of shorter LOS, after adjusting for other variables. These factors point to a need for a comprehensive review of prostate cancer service provision.
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spelling pubmed-37504452013-08-24 Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study Kelly, Maria Sharp, Linda Dwane, Fiona Kelleher, Tracy Drummond, Frances J Comber, Harry BMC Health Serv Res Research Article BACKGROUND: Radical prostatectomy (RP) is a leading treatment option for localised prostate cancer. Although hospital in-patient stays accounts for much of the costs of treatment, little is known about population-level trends in length-of-stay (LOS). We investigated factors predicting hospital LOS and readmissions in men who had RP following prostate cancer. METHODS: Incident prostate cancers (ICD-O3: C61), diagnosed January 2002-December 2008 in men < 70 years, were identified from the Irish Cancer Registry, and linked to public hospital episodes. For those who had RP (ICD-9 CM procedure codes 60.3, 60.4, 60.5, 60.62) the associated hospital episode was identified. LOS was calculated as the number of days from date of admission to date of discharge. Patient-, tumour-, and health service-related factors predicting longer LOS (upper quartile, >9 days) were investigated using logistic regression. Patterns in day-case and in-patient readmissions within 28 days of discharge following RP were explored. RESULTS: Over the study period 9096 prostate cancers were diagnosed in men under 70, 26.5% of whom had RP by end of follow-up 31/12/2009. Two of eight public hospitals and eight of forty surgeons carried out 50% of all public-service RPs. Median LOS was 8 days (10th-90th percentile = 6-13 days) and fell significantly over time (2002, 9 days; 2008, 7 days; p < 0.001). In adjusted analyses men who were not married (OR = 1.71, 95% CI 1.25-2.34), had co-morbidities (OR = 1.64, 95% CI 1.25-2.16) or stage III-IV cancer (OR = 2.19, 95% CI 1.44-3.34) were significantly more likely to have prolonged LOS. Those treated in higher volume hospitals (annual median >49 RPs) or by higher volume surgeons (annual median >17 RPs) were significantly less likely to have prolonged LOS (OR = 0.34, 95% CI 0.26-0.45; OR = 0.55, 95% CI 0.42-0.71 respectively). CONCLUSION: Median LOS after RP decreased between 2002 and 2008 in Ireland but it remains higher than in both England and the US. Although volumes of RPs conducted in Ireland are low, there is considerable variation between hospitals and surgeons. Hospital and surgeon volume were strong predictors of shorter LOS, after adjusting for other variables. These factors point to a need for a comprehensive review of prostate cancer service provision. BioMed Central 2013-07-02 /pmc/articles/PMC3750445/ /pubmed/23816338 http://dx.doi.org/10.1186/1472-6963-13-244 Text en Copyright © 2013 Kelly et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kelly, Maria
Sharp, Linda
Dwane, Fiona
Kelleher, Tracy
Drummond, Frances J
Comber, Harry
Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
title Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
title_full Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
title_fullStr Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
title_full_unstemmed Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
title_short Factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
title_sort factors predicting hospital length-of-stay after radical prostatectomy: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750445/
https://www.ncbi.nlm.nih.gov/pubmed/23816338
http://dx.doi.org/10.1186/1472-6963-13-244
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