Unwarranted Between-hospital Variation in Mortality, Readmission, and Length of Stay of Urological Admissions: An Important Trigger for Prioritising Quality Targets

Author(s):  
Astrid Van Wilder ◽  
Bianca Cox ◽  
Dirk De Ridder ◽  
Wim Tambeur ◽  
Pieter Maertens ◽  
...  
Circulation ◽  
2020 ◽  
Vol 142 (14) ◽  
pp. 1351-1360
Author(s):  
Sara K. Pasquali ◽  
Dylan Thibault ◽  
Sean M. O’Brien ◽  
Jeffrey P. Jacobs ◽  
J. William Gaynor ◽  
...  

Background: Optimal strategies to improve national congenital heart surgery outcomes and reduce variability across hospitals remain unclear. Many policy and quality improvement efforts have focused primarily on higher-risk patients and mortality alone. Improving our understanding of both morbidity and mortality and current variation across the spectrum of complexity would better inform future efforts. Methods: Hospitals participating in the Society of Thoracic Surgeons Congenital Heart Surgery Database (2014–2017) were included. Case mix–adjusted operative mortality, major complications, and postoperative length of stay were evaluated using Bayesian models. Hospital variation was quantified by the interdecile ratio (IDR, upper versus lower 10%) and 95% credible intervals (CrIs). Stratified analyses were performed by risk group (Society of Thoracic Surgeons–European Association for Cardiothoracic Surgery [STAT] category) and simulations evaluated the potential impact of reductions in variation. Results: A total of 102 hospitals (n=84 407) were included, representing ≈85% of US congenital heart programs. STAT category 1 to 3 (lower risk) operations comprised 74% of cases. All outcomes varied significantly across hospitals: adjusted mortality by 3-fold (upper versus lower decile 5.0% versus 1.6%, IDR 3.1 [95% CrI 2.5–3.7]), mean length of stay by 1.8-fold (19.2 versus 10.5 days, IDR 1.8 [95% CrI 1.8–1.9]), and major complications by >3-fold (23.5% versus 7.0%, IDR 3.4 [95% CrI 3.0–3.8]). The degree of variation was similar or greater for low- versus high-risk cases across outcomes, eg, ≈3-fold mortality variation across hospitals for STAT 1 to 3 (IDR 3.0 [95% CrI 2.1–4.2]) and STAT 4 or 5 (IDR 3.1 [95% CrI 2.4–3.9]) cases. High-volume hospitals had less variability across outcomes and risk categories. Simulations suggested potential reductions in deaths (n=282), major complications (n=1539), and length of stay (101 183 days) over the 4-year study period if all hospitals were to perform at the current median or better, with 37% to 60% of the improvement related to the STAT 1 to 3 (lower risk) group across outcomes. Conclusions: We demonstrate significant hospital variation in morbidity and mortality after congenital heart surgery. Contrary to traditional thinking, a substantial portion of potential improvements that could be realized on a national scale were related to variability among lower-risk cases. These findings suggest modifications to our current approaches to optimize care and outcomes in this population are needed.


FACE ◽  
2021 ◽  
pp. 273250162098573
Author(s):  
Diana S. Jodeh ◽  
Mitchell Buller ◽  
Anh Thy H. Nguyen ◽  
Fatima Qamar ◽  
Alex Rottgers

Purpose: The purpose of this study is to examine the association of steroid use during orthognathic surgery and postoperative outcomes including major complications, 90-day all-cause readmission, and postoperative length of stay. Methods: A retrospective review was implemented utilizing the Pediatric Health Information System (PHIS) database from 2004 to 2014 was undertaken. Steroid exposure was defined as having been billed for the generic drug code for Dexamethasone (154035) at any time for up to 7 days from the surgery date. Unadjusted and adjusted random-intercept logistic regression models were utilized to assess the association between steroid exposure and these outcomes. Results: The sample included 5194 patients, 54% of patients were exposed to steroids, with 20.16 % exposed only on the day of surgery, 27.76% on the day of surgery and after, and 6.22% after the day of surgery. In models adjusting for age, sex, race, procedure, hospital variation and complex chronic conditions, the odds-ratio of steroid exposure was 3.46 (95% CI = 2.96-4.03) for an increased length of stay, 1.05 (95% CI = 0.81-1.37) for major complications and 1.20 (95% CI = 0.95-1.52) for 90-day all-cause readmission. Conclusion: The administration of steroids in patients undergoing orthognathic surgery is significantly associated with increased odds of length of stay. This may be due to a large set of patients receiving steroids during orthognathic procedure are less healthy than those not selected to receive steroids, and thereby require an increased length of stay. The limitations of large, administrative databases do not allow determination of this, but future prospective study is warranted.


BMJ Open ◽  
2017 ◽  
Vol 7 (7) ◽  
pp. e014143 ◽  
Author(s):  
Veronique M A Voorn ◽  
Perla J Marang-van de Mheen ◽  
Anja van der Hout ◽  
Cynthia So-Osman ◽  
M Elske van den Akker–van Marle ◽  
...  

Author(s):  
Erik M von Meyenfeldt ◽  
Fieke Hoeijmakers ◽  
Geertruid M H Marres ◽  
Eric R E van Thiel ◽  
Elske Marra ◽  
...  

Abstract OBJECTIVES Good perioperative care is aimed at rapid recovery, without complications or readmissions. Length of stay (LOS) is influenced not only by perioperative care routines but also by patient factors, tumour factors, treatment characteristics and complications. The present study examines variation in LOS between hospitals after minimally invasive lung resections for both complicated and uncomplicated patients to assess whether LOS is a hospital characteristic influenced by local perioperative routines or other factors. METHODS Dutch Lung Cancer Audit (surgery) data were used. Median LOS was calculated on hospital level, stratified by the severity of complications. Lowest quartile (short) LOS per hospital, corrected for case-mix factors by multivariable logistic regression, was presented in funnel plots. We correlated short LOS in complicated versus uncomplicated patients to assess whether short LOS clustered in the same hospitals regardless of complications. RESULTS Data from 6055 patients in 42 hospitals were included. Median LOS in uncomplicated patients varied from 3 to 8 days between hospitals and increased most markedly for patients with major complications. Considerable between-hospital variation persisted after case-mix correction, but more in uncomplicated than complicated patients. Short LOS in uncomplicated and complicated patients were significantly correlated (r = 0.53, P < 0.001). CONCLUSIONS LOS after minimally invasive anatomical lung resections varied between hospitals particularly in uncomplicated patients. The significant correlation between short LOS in uncomplicated and complicated patients suggests that LOS is a hospital characteristic potentially influenced by local processes. Standardizing and optimizing perioperative care could help limit practice variation with improved LOS and complication rates.


2001 ◽  
Vol 120 (5) ◽  
pp. A403-A404
Author(s):  
J HARRISON ◽  
J ROTH ◽  
R COHEN

2011 ◽  
Vol 4 (7) ◽  
pp. 19
Author(s):  
MARY ELLEN SCHNEIDER

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