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Purpose: Hospitals performing a certain bariatric procedure in high volumes may have better outcomes. However, they could also have worse outcomes for some patients who are better off receiving another procedure. This study evaluates the effect of hospital preference for a specific type of bariatric procedure on their overall weight loss results.
Methods: All hospitals performing bariatric surgery were included from the nationwide Dutch Audit for Treatment of Obesity. For each hospital, the expected (E) numbers of sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), and one-anastomosis gastric bypass (OAGB) were calculated given their patient-mix. These were compared with the observed (O) numbers as the O/E ratio in a funnel plot. The 95% control intervals were used to identify outlier hospitals performing a certain procedure significantly more often than expected given their patient-mix (defined as hospital preference for that procedure). Similarly, funnel plots were created for the outcome of patients achieving ≥ 25% total weight loss (TWL) after 2 years, which was linked to each hospital's preference.
Results: A total of 34,558 patients were included, with 23,154 patients completing a 2-year follow-up, of whom 79.6% achieved ≥ 25%TWL. Nine hospitals had a preference for RYGB (range O/E ratio [1.09-1.53]), with 1 having significantly more patients achieving ≥ 25%TWL (O/E ratio [1.06]). Of 6 hospitals with a preference for SG (range O/E ratio [1.10-2.71]), one hospital had significantly fewer patients achieving ≥ 25%TWL (O/E ratio [0.90]), and from two hospitals with a preference for OAGB (range O/E ratio [4.0-6.0]), one had significantly more patients achieving ≥ 25%TWL (O/E ratio [1.07]). One hospital had no preference for any procedure but did have significantly more patients achieving ≥ 25%TWL (O/E ratio [1.10]).
Conclusion: Hospital preference is not consistently associated with better overall weight loss results. This suggests that even though experience with a procedure may be slightly less in hospitals not having a preference, it is still sufficient to achieve similar weight loss outcomes when surgery is provided in centralized high-volume bariatric institutions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613549 | PMC |
http://dx.doi.org/10.1007/s11695-022-06212-8 | DOI Listing |
J Trauma Acute Care Surg
January 2025
From the Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, Department of Surgery (L.A.P., Z.M., J.M., B.H., T.W.C., L.N.H., A.B., L.A., J.J.D., J.E.S.), UC San Diego School of Medicine, San Diego, California; and Division of Acute Care Surgery, Department of Surgery (A.E.L.), University of Missouri School of Medicine, Columbia, Missouri.
Background: Given the high mortality and morbidity of emergency general surgery (EGS), designing and implementing effective quality assessment tools is imperative. Currently accepted EGS risk scores are limited by the need for manual extraction, which is time-intensive and costly. We developed an automated institutional electronic health record (EHR)-linked EGS registry that calculates a modified Emergency Surgery Score (mESS) and a modified Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) score and demonstrated their use in benchmarking outcomes.
View Article and Find Full Text PDFBMC Med
December 2024
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Background: Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).
View Article and Find Full Text PDFBackground: Optimizing outcomes of hospitalized patients anchors on standardizing processes in medical management, interventions to reduce the risk of decompensation, and prompt intervention when a patient decompensates.
Methods: A quality improvement initiative (optimized sepsis and respiratory compromise management, reducing health care-associated infection and medication risk, swift management of the deteriorating patient, feedback on performance, and accountability) was implemented in a multistate health system. The primary outcome was risk-adjusted in-hospital mortality.
JAMA Netw Open
December 2024
Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Res Pract Thromb Haemost
November 2024
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Background: Long-term outcome after a first venous thromboembolism (VTE) might be optimized by tailoring anticoagulant treatment duration on individual risks of recurrence and major bleeding. The L-TRRiP models (A-D) were previously developed in data from the Dutch Multiple Environment and Genetic Assessment of Risk Factors for Venous thrombosis study to predict VTE recurrence.
Objectives: We aimed to externally validate models C and D using data from the United States Heart and Vascular Health (HVH) study.
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