Literature DB >> 23719571

Racial disparities in operative procedure time: the influence of obesity.

Jeffrey H Silber1, Paul R Rosenbaum, Richard N Ross, Orit Even-Shoshan, Rachel R Kelz, Mark D Neuman, Caroline E Reinke, Justin M Ludwig, Fabienne A Kyle, Dale W Bratzler, Lee A Fleisher.   

Abstract

BACKGROUND: Using Pennsylvania Medicare claims from 1995 to 1996, the authors previously reported that anesthesia procedure length appears longer in blacks than whites. In a new study using a different and larger data set, the authors now examine whether body mass index (BMI), not available in Medicare claims, explains this difference. The authors also examine the relative contributions of surgical and anesthesia times.
METHODS: The Obesity and Surgical Outcomes Study of 47 hospitals throughout Illinois, New York, and Texas abstracted chart information including BMI on elder Medicare patients (779 blacks and 14,596 whites) undergoing hip and knee replacement and repair, colectomy, and thoracotomy between 2002 and 2006. The authors matched all black Medicare patients to comparable whites and compared procedure lengths.
RESULTS: Mean BMI in the black and white populations was 30.24 and 28.96 kg/m, respectively (P<0.0001). After matching on age, sex, procedure, comorbidities, hospital, and BMI, mean white BMI in the comparison group was 30.1 kg/m (P=0.94). The typical matched pair difference (black-white) in anesthesia (induction to recovery room) procedure time was 7.0 min (P=0.0019), of which 6 min reflected the surgical (cut-to-close) time difference (P=0.0032). Within matched pairs, where the difference in procedure times was greater than 30 min between patients, blacks more commonly had longer procedure times (Odds=1.39; P=0.0008).
CONCLUSIONS: Controlling for patient characteristics, BMI, and hospital, elder black Medicare patients experienced slightly but significantly longer procedure length than their closely matched white controls. Procedure length difference was almost completely due to surgery, not anesthesia.

Entities:  

Mesh:

Year:  2013        PMID: 23719571      PMCID: PMC3889464          DOI: 10.1097/ALN.0b013e31829101de

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  21 in total

Review 1.  Invited commentary: propensity scores.

Authors:  M M Joffe; P R Rosenbaum
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2.  Anesthesia in the obese.

Authors:  G Lebuffe; G Andrieu; F Wierre; K Gorski; V Sanders; N Chalons; B Vallet
Journal:  J Visc Surg       Date:  2010-09-28       Impact factor: 2.043

3.  Optimal matching with minimal deviation from fine balance in a study of obesity and surgical outcomes.

Authors:  Dan Yang; Dylan S Small; Jeffrey H Silber; Paul R Rosenbaum
Journal:  Biometrics       Date:  2011-10-18       Impact factor: 2.571

4.  Relation between the race and economic status of patients and who performs their surgery.

Authors:  L D Egbert; I L Rothman
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5.  Probability plotting methods for the analysis of data.

Authors:  M B Wilk; R Gnanadesikan
Journal:  Biometrika       Date:  1968-03       Impact factor: 2.445

6.  Surgical site infection prevention: the importance of operative duration and blood transfusion--results of the first American College of Surgeons-National Surgical Quality Improvement Program Best Practices Initiative.

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Journal:  J Am Coll Surg       Date:  2008-10-10       Impact factor: 6.113

7.  Increased body mass index predicts increased blood loss during radical cystectomy.

Authors:  Sam S Chang; Bruce Jacobs; Nancy Wells; Joseph A Smith; Michael S Cookson
Journal:  J Urol       Date:  2004-03       Impact factor: 7.450

8.  Rhabdomyolysis of gluteal muscles leading to renal failure: a potentially fatal complication of surgery in the morbidly obese.

Authors:  David Bostanjian; Gary J Anthone; Nahid Hamoui; Peter F Crookes
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9.  Impact of body mass index on radical cystectomy.

Authors:  Cheryl T Lee; Rodney L Dunn; Bert T Chen; Daya P Joshi; Jaqueline Sheffield; James E Montie
Journal:  J Urol       Date:  2004-10       Impact factor: 7.450

10.  Obesity in general elective surgery.

Authors:  Daniel Dindo; Markus K Muller; Markus Weber; Pierre-Alain Clavien
Journal:  Lancet       Date:  2003-06-14       Impact factor: 79.321

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  7 in total

1.  Indirect Standardization Matching: Assessing Specific Advantage and Risk Synergy.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Alexander S Hill; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2016-02-29       Impact factor: 3.402

2.  Healthcare provider perceptions of disparities in perioperative care.

Authors:  Julia M Rosenbloom; Jaleesa Jackson; Margarita Alegria; Kiara Alvarez
Journal:  J Natl Med Assoc       Date:  2019-08-17       Impact factor: 1.798

3.  Template matching for auditing hospital cost and quality.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Nabanita Mukherjee; Philip A Saynisch; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2014-03-03       Impact factor: 3.402

4.  Antiemetic Prophylaxis as a Marker of Health Care Disparities in the National Anesthesia Clinical Outcomes Registry.

Authors:  Michael H Andreae; Jonah S Gabry; Ben Goodrich; Robert S White; Charles Hall
Journal:  Anesth Analg       Date:  2018-02       Impact factor: 5.108

5.  Examining Causes of Racial Disparities in General Surgical Mortality: Hospital Quality Versus Patient Risk.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Rachel R Kelz; Darrell J Gaskin; Justin M Ludwig; Richard N Ross; Bijan A Niknam; Alex Hill; Min Wang; Orit Even-Shoshan; Lee A Fleisher
Journal:  Med Care       Date:  2015-07       Impact factor: 2.983

6.  Comparison of the Value of Nursing Work Environments in Hospitals Across Different Levels of Patient Risk.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Matthew D McHugh; Justin M Ludwig; Herbert L Smith; Bijan A Niknam; Orit Even-Shoshan; Lee A Fleisher; Rachel R Kelz; Linda H Aiken
Journal:  JAMA Surg       Date:  2016-06-01       Impact factor: 14.766

7.  A hospital-specific template for benchmarking its cost and quality.

Authors:  Jeffrey H Silber; Paul R Rosenbaum; Richard N Ross; Justin M Ludwig; Wei Wang; Bijan A Niknam; Philip A Saynisch; Orit Even-Shoshan; Rachel R Kelz; Lee A Fleisher
Journal:  Health Serv Res       Date:  2014-09-08       Impact factor: 3.402

  7 in total

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