A PHP Error was encountered

Severity: 8192

Message: str_replace(): Passing null to parameter #3 ($subject) of type array|string is deprecated

Filename: helpers/my_audit_helper.php

Line Number: 8900

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 8900
Function: str_replace

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3362
Function: formatAIDetailSummary

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Hospital Variation in Preference for a Specific Bariatric Procedure and the Association with Weight Loss Performance: a Nationwide Analysis. | LitMetric

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613549PMC
http://dx.doi.org/10.1007/s11695-022-06212-8DOI Listing

Publication Analysis

Top Keywords

o/e ratio
32
weight loss
20
hospital preference
16
hospitals preference
16
patients achieving ≥ 25%twl
16
achieving ≥ 25%twl o/e
16
bariatric procedure
12
hospitals performing
12
range o/e
12
preference
9

Similar Publications

Automating excellence: A breakthrough in emergency general surgery quality benchmarking.

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 PDF

Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults.

BMC 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 PDF

Background: 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.

View Article and Find Full Text PDF

Genotype and Associated Cancer Risk in Individuals With Telomere Biology Disorders.

JAMA Netw Open

December 2024

Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Article Synopsis
View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!