Evidence map›Paper›PMID 41042995›Full record

ArticleThe British journal of surgery2025

Variation in outcomes after metabolic bariatric surgery: multilevel analysis to assess the contribution of patient, surgeon, and hospital factors.

Floris F E Bruinsma, Simon W Nienhuijs, Ronald S L Liem, Jan Willem M Greve, Perla J Marang-van de Mheen, Dutch Audit for Treatment of Obesity Research Group

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Article in The British journal of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Floris F E BruinsmaDepartment of Surgery, Maastricht University Medical Centre, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands.ORCID 0000-0001-7975-3862
Simon W NienhuijsDepartment of Surgery, Catharina Hospital, Eindhoven, The Netherlands.
Ronald S L LiemDepartment of Surgery, Groene Hart Hospital, Gouda, The Netherlands.ORCID 0000-0002-0165-5995
Jan Willem M GreveDepartment of Surgery, Maastricht University Medical Centre, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht, The Netherlands.
Perla J Marang-van de MheenSafety & Security Science and Centre for Safety in Healthcare, Delft University of Technology, Delft, The Netherlands.
Dutch Audit for Treatment of Obesity Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic bariatric surgery (MBS) quality registries monitor various outcomes, enabling the assessment of hospital performance in comparison with national benchmarks. However, if there is considerable between-surgeon outcome variation, surgeon-level feedback may be better suited. The aim of this study was to assess the extent to which patient-, surgeon-, and hospital-level factors contribute to the variation in outcomes after MBS.

methodsAll primary procedures registered in the Dutch MBS quality registry between 1 January 2020 and 31 December 2023 were included. Outcomes included severe postoperative complications, reoperation, prolonged length of stay (LOS), readmission, textbook outcome, and achieving ≥25% total weight loss within 1 year. Multilevel logistic regression models were built for each outcome, including all available patient characteristics, operating surgeon, and hospital, to determine the variance explained by patient-, surgeon-, and hospital-level factors.

resultsIn total, 30 610 patients were included, operated on by 144 surgeons in 19 hospitals. Hospital-level factors contributed most to the explained variance for all outcomes, ranging from 59.6% for reoperation to 90.3% for prolonged LOS. Surgeon-level factors explained less variance, ranging from 3.2% for prolonged LOS to 28.2% for reoperation. Patient characteristics explained the least, ranging from 4.4% for textbook outcome to 13.1% for severe postoperative complications.

conclusionVariation in outcomes is mostly explained by hospital factors, rather than surgeon factors, supporting hospital-based performance feedback. The results suggest that the pre- and postoperative trajectory and perioperative care may affect MBS outcomes more than patient characteristics or surgical team performance.

Indexed as

Bariatric SurgeryHospitalsObesity, MorbidSurgeonsAdultFemaleHumansLength of StayMaleMiddle AgedMultilevel AnalysisNetherlandsPatient ReadmissionPostoperative ComplicationsRegistriesReoperation

Identifiers

PMID41042995
PMCPMC12494228

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