Assessing quality of hepato-pancreato-biliary surgery: nationwide benchmarking.


Journal

The British journal of surgery
ISSN: 1365-2168
Titre abrégé: Br J Surg
Pays: England
ID NLM: 0372553

Informations de publication

Date de publication:
03 May 2024
Historique:
received: 14 12 2023
revised: 06 03 2024
accepted: 07 04 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 15 5 2024
Statut: ppublish

Résumé

Clinical auditing is a powerful tool to evaluate and improve healthcare. Deviations from the expected quality of care are identified by benchmarking the results of individual hospitals using national averages. This study aimed to evaluate the use of quality indicators for benchmarking hepato-pancreato-biliary (HPB) surgery and when outlier hospitals could be identified. A population-based study used data from two nationwide Dutch HPB audits (DHBA and DPCA) from 2014 to 2021. Sample size calculations determined the threshold (in percentage points) to identify centres as statistical outliers, based on current volume requirements (annual minimum of 20 resections) on a two-year period (2020-2021), covering mortality rate, failure to rescue (FTR), major morbidity rate and textbook/ideal outcome (TO) for minor liver resection (LR), major LR, pancreaticoduodenectomy (PD) and distal pancreatectomy (DP). In total, 10 963 and 7365 patients who underwent liver and pancreatic resection respectively were included. Benchmark and corresponding range of mortality rates were 0.6% (0 -3.2%) and 3.3% (0-16.7%) for minor and major LR, and 2.7% (0-7.0%) and 0.6% (0-4.2%) for PD and DP respectively. FTR rates were 5.4% (0-33.3%), 14.2% (0-100%), 7.5% (1.6%-28.5%) and 3.1% (0-14.9%). For major morbidity rate, corresponding rates were 9.8% (0-20.5%), 28.1% (0-47.1%), 36% (15.8%-58.3%) and 22.3% (5.2%-46.1%). For TO, corresponding rates were 73.6% (61.3%-94.4%), 54.1% (35.3-100), 46.8% (25.3%-59.4%) and 63.3% (30.7%-84.6%). Mortality rate thresholds indicating a significant outlier were 8.6% and 15.4% for minor and major LR and 14.2% and 8.6% for PD and DP. For FTR, these thresholds were 17.9%, 31.6%, 22.9% and 15.0%. For major morbidity rate, these thresholds were 26.1%, 49.7%, 57.9% and 52.9% respectively. For TO, lower thresholds were 52.5%, 32.5%, 25.8% and 41.4% respectively. Higher hospital volumes decrease thresholds to detect outliers. Current event rates and minimum volume requirements per hospital are too low to detect any meaningful between hospital differences in mortality rate and FTR. Major morbidity rate and TO are better candidates to use for benchmarking.

Sections du résumé

BACKGROUND BACKGROUND
Clinical auditing is a powerful tool to evaluate and improve healthcare. Deviations from the expected quality of care are identified by benchmarking the results of individual hospitals using national averages. This study aimed to evaluate the use of quality indicators for benchmarking hepato-pancreato-biliary (HPB) surgery and when outlier hospitals could be identified.
METHODS METHODS
A population-based study used data from two nationwide Dutch HPB audits (DHBA and DPCA) from 2014 to 2021. Sample size calculations determined the threshold (in percentage points) to identify centres as statistical outliers, based on current volume requirements (annual minimum of 20 resections) on a two-year period (2020-2021), covering mortality rate, failure to rescue (FTR), major morbidity rate and textbook/ideal outcome (TO) for minor liver resection (LR), major LR, pancreaticoduodenectomy (PD) and distal pancreatectomy (DP).
RESULTS RESULTS
In total, 10 963 and 7365 patients who underwent liver and pancreatic resection respectively were included. Benchmark and corresponding range of mortality rates were 0.6% (0 -3.2%) and 3.3% (0-16.7%) for minor and major LR, and 2.7% (0-7.0%) and 0.6% (0-4.2%) for PD and DP respectively. FTR rates were 5.4% (0-33.3%), 14.2% (0-100%), 7.5% (1.6%-28.5%) and 3.1% (0-14.9%). For major morbidity rate, corresponding rates were 9.8% (0-20.5%), 28.1% (0-47.1%), 36% (15.8%-58.3%) and 22.3% (5.2%-46.1%). For TO, corresponding rates were 73.6% (61.3%-94.4%), 54.1% (35.3-100), 46.8% (25.3%-59.4%) and 63.3% (30.7%-84.6%). Mortality rate thresholds indicating a significant outlier were 8.6% and 15.4% for minor and major LR and 14.2% and 8.6% for PD and DP. For FTR, these thresholds were 17.9%, 31.6%, 22.9% and 15.0%. For major morbidity rate, these thresholds were 26.1%, 49.7%, 57.9% and 52.9% respectively. For TO, lower thresholds were 52.5%, 32.5%, 25.8% and 41.4% respectively. Higher hospital volumes decrease thresholds to detect outliers.
CONCLUSION CONCLUSIONS
Current event rates and minimum volume requirements per hospital are too low to detect any meaningful between hospital differences in mortality rate and FTR. Major morbidity rate and TO are better candidates to use for benchmarking.

Identifiants

pubmed: 38747683
pii: 7672830
doi: 10.1093/bjs/znae119
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of BJS Foundation Ltd.

Auteurs

Michelle R de Graaff (MR)

Dutch Institute for Clinical Auditing, Scientific Bureau, Leiden, The Netherlands.
Department of Hepato-Pancreato-Biliary Surgery and Liver Transplantation, University Medical Centre Groningen, Groningen, the Netherlands.

Tessa E Hendriks (TE)

Dutch Institute for Clinical Auditing, Scientific Bureau, Leiden, The Netherlands.
Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.
Department of Surgery, Cancer Centre Amsterdam, Amsterdam, The Netherlands.
Department of Surgery, Leiden University Medical Centre, Leiden, The Netherlands.

Michel Wouters (M)

Dutch Institute for Clinical Auditing, Scientific Bureau, Leiden, The Netherlands.
Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.

Mark Nielen (M)

Dutch Institute for Clinical Auditing, Scientific Bureau, Leiden, The Netherlands.

Ignace de Hingh (I)

Department of Surgery, Catharina Hospital, Eindhoven, The Netherlands.

Bas Groot Koerkamp (BG)

Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.

Hjalmar C van Santvoort (HC)

Department of Surgery, University Medical Centre Utrecht, Utrecht, The Netherlands.
Department of Surgery, St Antonius Hospital, Nieuwegein, the Netherlands.

Olivier R Busch (OR)

Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.
Department of Surgery, Cancer Centre Amsterdam, Amsterdam, The Netherlands.

Marcel den Dulk (M)

Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands.
NUTRIM-School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.

Joost M Klaase (JM)

Department of Hepato-Pancreato-Biliary Surgery and Liver Transplantation, University Medical Centre Groningen, Groningen, the Netherlands.

Erik van Zwet (E)

Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands.

Bert A Bonsing (BA)

Department of Surgery, Leiden University Medical Centre, Leiden, The Netherlands.

Dirk J Grünhagen (DJ)

Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.

Marc G Besselink (MG)

Amsterdam UMC, location University of Amsterdam, Department of Surgery, Amsterdam, The Netherlands.
Department of Surgery, Cancer Centre Amsterdam, Amsterdam, The Netherlands.

Niels F M Kok (NFM)

Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH