Variation in case-mix between hospitals treating colorectal cancer patients in the Netherlands

Journal Article (2011)
Author(s)

N. E. Kolfschoten (Leiden University Medical Center)

P. J. Marang Van De Mheen (Leiden University Medical Center)

G. A. Gooiker (Leiden University Medical Center)

E. H. Eddes (Deventer Hospitals)

J. Kievit (Leiden University Medical Center)

R. A.E.M. Tollenaar (Leiden University Medical Center)

M. W.J.M. Wouters (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, Antoni van Leeuwenhoek Ziekenhuis, Leiden University Medical Center)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.ejso.2011.08.137
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Publication Year
2011
Language
English
Affiliation
External organisation
Journal title
European Journal of Surgical Oncology
Issue number
11
Volume number
37
Pages (from-to)
956-963
Downloads counter
171

Abstract

Aims: The purpose of this study was to determine how expected mortality based on case-mix varies between colorectal cancer patients treated in non-teaching, teaching and university hospitals, or high, intermediate and low-volume hospitals in the Netherlands. Material and methods: We used the database of the Dutch Surgical Colorectal Audit 2010. Factors predicting mortality after colon and rectum carcinoma resections were identified using logistic regression models. Using these models, expected mortality was calculated for each patient. Results: 8580 patients treated in 90 hospitals were included in the analysis. For colon carcinoma, hospitals' expected mortality ranged from 1.5 to 14%. Average expected mortality was lower in patients treated in high-volume hospitals than in low-volume hospitals (5.0 vs. 4.3%, p < 0.05). For rectum carcinoma, hospitals expected mortality varied from 0.5 to 7.5%. Average expected mortality was higher in patients treated in non-teaching and teaching hospitals than in university hospitals (2.7 and 2.3 vs. 1.3%, p < 0.01). Furthermore, rectum carcinoma patients treated in high-volume hospitals had a higher expected mortality than patients treated in low-volume hospitals (2.6 vs. 2.2% p < 0.05). We found no differences in risk-adjusted mortality. Conclusions: High-risk patients are not evenly distributed between hospitals. Using the expected mortality as an integrated measure for case-mix can help to gain insight in where high-risk patients go. The large variation in expected mortality between individual hospitals, hospital types and volume groups underlines the need for risk-adjustment when comparing hospital performances.

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