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Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )

Objective: To assess the relationships of patient and surgical factors and hospital costs with the number of days alive and at home during the 30 days following surgery (DAH(30)). Design: Retrospective cohort study; analysis of Medibank Private health insurance hospital claims data, Australia, 1 Jan...

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Autores principales: Reilly, Jennifer R, Myles, Paul S, Wong, Darren, Heritier, Stephane R, Brown, Wendy A, Richards, Toby, Bell, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796479/
https://www.ncbi.nlm.nih.gov/pubmed/35852009
http://dx.doi.org/10.5694/mja2.51658
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author Reilly, Jennifer R
Myles, Paul S
Wong, Darren
Heritier, Stephane R
Brown, Wendy A
Richards, Toby
Bell, Max
author_facet Reilly, Jennifer R
Myles, Paul S
Wong, Darren
Heritier, Stephane R
Brown, Wendy A
Richards, Toby
Bell, Max
author_sort Reilly, Jennifer R
collection PubMed
description Objective: To assess the relationships of patient and surgical factors and hospital costs with the number of days alive and at home during the 30 days following surgery (DAH(30)). Design: Retrospective cohort study; analysis of Medibank Private health insurance hospital claims data, Australia, 1 January 2016 – 31 December 2017. Setting, participants: Admissions of adults (18 years or older) to hospitals for elective or emergency inpatient surgery with anaesthesia covered by private health insurance, Australia, 1 January 2016 – 31 December 2017. Main outcome measures: Associations between DAH(30) and total hospital costs, and between DAH(30) and surgery risk factors. Results: Complete data were available for 126 788 of 181 281 eligible patients (69.9%); their median age was 62 years (IQR, 47–73 years), 72 872 were women (57%), and 115 117 had undergone elective surgery (91%). The median DAH(30) was 27.1 days (IQR, 24.2–28.8 days), the median hospital cost per patient was $10 358 (IQR, $6624–20 174). The association between DAH(30) and total hospital costs was moderate (Spearman ρ = –0.60; P < 0.001). Median DAH(30) declined with age, comorbidity score, ASA physical status score, and surgical severity and duration, and was also lower for women. Conclusions: DAH(30) is a validated, patient‐centred outcome measure of post‐surgical outcomes; higher values reflect shorter hospital stays and fewer serious complications, re‐admissions, and deaths. DAH(30) can be used to benchmark quality of surgical care and to monitor quality improvement programs for reducing the costs of surgical and other peri‐operative care.
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spelling pubmed-97964792022-12-30 Hospital costs and factors associated with days alive and at home after surgery (DAH(30) ) Reilly, Jennifer R Myles, Paul S Wong, Darren Heritier, Stephane R Brown, Wendy A Richards, Toby Bell, Max Med J Aust Research and Reviews Objective: To assess the relationships of patient and surgical factors and hospital costs with the number of days alive and at home during the 30 days following surgery (DAH(30)). Design: Retrospective cohort study; analysis of Medibank Private health insurance hospital claims data, Australia, 1 January 2016 – 31 December 2017. Setting, participants: Admissions of adults (18 years or older) to hospitals for elective or emergency inpatient surgery with anaesthesia covered by private health insurance, Australia, 1 January 2016 – 31 December 2017. Main outcome measures: Associations between DAH(30) and total hospital costs, and between DAH(30) and surgery risk factors. Results: Complete data were available for 126 788 of 181 281 eligible patients (69.9%); their median age was 62 years (IQR, 47–73 years), 72 872 were women (57%), and 115 117 had undergone elective surgery (91%). The median DAH(30) was 27.1 days (IQR, 24.2–28.8 days), the median hospital cost per patient was $10 358 (IQR, $6624–20 174). The association between DAH(30) and total hospital costs was moderate (Spearman ρ = –0.60; P < 0.001). Median DAH(30) declined with age, comorbidity score, ASA physical status score, and surgical severity and duration, and was also lower for women. Conclusions: DAH(30) is a validated, patient‐centred outcome measure of post‐surgical outcomes; higher values reflect shorter hospital stays and fewer serious complications, re‐admissions, and deaths. DAH(30) can be used to benchmark quality of surgical care and to monitor quality improvement programs for reducing the costs of surgical and other peri‐operative care. John Wiley and Sons Inc. 2022-07-18 2022-09 /pmc/articles/PMC9796479/ /pubmed/35852009 http://dx.doi.org/10.5694/mja2.51658 Text en © 2022 The Authors. Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research and Reviews
Reilly, Jennifer R
Myles, Paul S
Wong, Darren
Heritier, Stephane R
Brown, Wendy A
Richards, Toby
Bell, Max
Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )
title Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )
title_full Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )
title_fullStr Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )
title_full_unstemmed Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )
title_short Hospital costs and factors associated with days alive and at home after surgery (DAH(30) )
title_sort hospital costs and factors associated with days alive and at home after surgery (dah(30) )
topic Research and Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796479/
https://www.ncbi.nlm.nih.gov/pubmed/35852009
http://dx.doi.org/10.5694/mja2.51658
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