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

**Authors:** Michelle R de Graaff, Tessa E Hendriks, Michel Wouters, Mark Nielen, Ignace de Hingh, Bas Groot Koerkamp, Hjalmar C van Santvoort, Olivier R Busch, Marcel den Dulk, Joost M Klaase, Erik van Zwet, Bert A Bonsing, Dirk J Grünhagen, Marc G Besselink, Niels F M Kok

PMC · DOI: 10.1093/bjs/znae119 · The British Journal of Surgery · 2024-05-15

## TL;DR

This study evaluates how well quality indicators can benchmark surgical outcomes in hepato-pancreato-biliary surgery across hospitals in the Netherlands.

## Contribution

The study introduces new thresholds for identifying outlier hospitals in HPB surgery based on quality indicators like mortality and morbidity rates.

## Key findings

- Current event rates and hospital volumes are too low to detect meaningful differences in mortality and failure to rescue rates.
- Major morbidity rates and textbook outcomes are better indicators for benchmarking due to higher event rates.
- Higher hospital volumes reduce thresholds for identifying outlier hospitals.

## Abstract

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.

This nationwide audit-based study exposed the complexity of benchmarking quality of care in complex, relatively low frequent surgical procedures in HPB surgery. Current event rates and minimum volume requirements per hospital are too low to detect any meaningful between hospital differences in mortality rate and failure to rescue. Major morbidity rate and textbook or ideal outcome are better candidates to use for benchmarking, as the event rates of these quality indicators are higher.

## Full-text entities

- **Diseases:** Mortality (MESH:D003643), hepato-pancreato-biliary (HPB (MESH:D015211), pancreatic (MESH:D010195)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC11095128/full.md

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Source: https://tomesphere.com/paper/PMC11095128