Literature DB >> 20531000

Effect of postdischarge morbidity and mortality on comparisons of hospital surgical quality.

Karl Y Bilimoria1, Mark E Cohen, Angela M Ingraham, David J Bentrem, Karen Richards, Bruce L Hall, Clifford Y Ko.   

Abstract

BACKGROUND: Hospitals increasingly rely on surgical quality assessment programs that require considerable resources to capture outcomes after hospital discharge. However, it is unclear whether capturing postdischarge complications and deaths is important. Our objectives were (1) to determine the frequency of postdischarge complications and deaths and (2) to determine whether hospital rankings change with inclusion of postdischarge outcomes.
METHODS: From 181 hospitals participating in the American College of Surgeon's National Surgical Quality Improvement Program, 329,951 patients were identified (2006-2007). Mortality and 19 complications within 30 days of the index operation were categorized as occurring before or after discharge. Risk-adjusted hospital rankings were compared based on whether only predischarge (inpatient) versus both pre- and postdischarge (inpatient and outpatient within 30 days of operation) morbidity and mortality were included.
RESULTS: Postdischarge complications accounted for 32.9% of all complications. Certain complications occurred frequently after discharge: surgical site infections (66.0%), urinary tract infections (39.4%), pulmonary embolisms (42.2%), and deep venous thromboses (34.5%). Of all patients experiencing complications, 39.7% had only postdischarge complications. Of 5827 postoperative deaths, 23.6% occurred after discharge. Hospital quality rankings changed when postdischarge outcomes were excluded versus included for morbidity (median hospital rank change: 16 ranks; interquartile range, 7-36) and mortality (median hospital rank change: 14 ranks; interquartile range, 6-29), and there was disagreement in outlier status designations depending on whether postdischarge events were included (morbidity: kappa = 0.546; mortality: kappa = 0.507).
CONCLUSIONS: A substantial proportion of postoperative complications and deaths occur after hospital discharge. Inclusion of postdischarge events considerably affects hospital quality rankings and outlier status designations. Quality improvement programs and research that do not consider postdischarge outcomes may offer incomplete information to hospitals, payers, providers, and patients.

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Year:  2010        PMID: 20531000     DOI: 10.1097/SLA.0b013e3181e4846e

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  23 in total

1.  Comparison of outlier identification methods in hospital surgical quality improvement programs.

Authors:  Karl Y Bilimoria; Mark E Cohen; Ryan P Merkow; Xue Wang; David J Bentrem; Angela M Ingraham; Karen Richards; Bruce L Hall; Clifford Y Ko
Journal:  J Gastrointest Surg       Date:  2010-09-08       Impact factor: 3.452

2.  Using multiple sources of data for surveillance of postoperative venous thromboembolism among surgical patients treated in Department of Veterans Affairs hospitals, 2005-2010.

Authors:  Richard E Nelson; Scott D Grosse; Norman J Waitzman; Junji Lin; Scott L DuVall; Olga Patterson; James Tsai; Nimia Reyes
Journal:  Thromb Res       Date:  2015-01-26       Impact factor: 3.944

3.  Obesity and readmission in elderly surgical patients.

Authors:  Caroline E Reinke; Rachel R Kelz; Jose R Zubizarreta; Lanyu Mi; Philip Saynisch; Fabienne A Kyle; Orit Even-Shoshan; Lee A Fleisher; Jeffrey H Silber
Journal:  Surgery       Date:  2012-09       Impact factor: 3.982

4.  Endovascular repair of abdominal aortic aneurysm does not improve early survival versus open repair in patients younger than 60 years.

Authors:  P K Gupta; B Ramanan; T G Lynch; H Gupta; X Fang; M Balters; J M Johanning; G M Longo; J N MacTaggart; I I Pipinos
Journal:  Eur J Vasc Endovasc Surg       Date:  2012-03-03       Impact factor: 7.069

5.  Clinical and Economic Outcomes of Enhanced Recovery Dissemination in Michigan Hospitals.

Authors:  Scott E Regenbogen; Anne H Cain-Nielsen; John D Syrjamaki; Edward C Norton
Journal:  Ann Surg       Date:  2021-08-01       Impact factor: 12.969

6.  A Multistate Model Predicting Mortality, Length of Stay, and Readmission for Surgical Patients.

Authors:  David E Clark; Kaitlin R Ostrander; Brad M Cushing
Journal:  Health Serv Res       Date:  2015-10-20       Impact factor: 3.402

7.  Readmission after delayed diagnosis of surgical site infection: a focus on prevention using the American College of Surgeons National Surgical Quality Improvement Program.

Authors:  Angela Gibson; Sarah Tevis; Gregory Kennedy
Journal:  Am J Surg       Date:  2013-10-10       Impact factor: 2.565

8.  Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.

Authors:  Karl Y Bilimoria; Yaoming Liu; Jennifer L Paruch; Lynn Zhou; Thomas E Kmiecik; Clifford Y Ko; Mark E Cohen
Journal:  J Am Coll Surg       Date:  2013-09-18       Impact factor: 6.113

9.  An evaluation of the timing of surgical complications following nephrectomy: data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP).

Authors:  Akshay Sood; Firas Abdollah; Jesse D Sammon; Victor Kapoor; Craig G Rogers; Wooju Jeong; Dane E Klett; Julian Hanske; Christian P Meyer; James O Peabody; Mani Menon; Quoc-Dien Trinh
Journal:  World J Urol       Date:  2015-04-25       Impact factor: 4.226

10.  Risk index for predicting perioperative stroke, myocardial infarction, or death risk in asymptomatic patients undergoing carotid endarterectomy.

Authors:  Prateek K Gupta; Bala Ramanan; Jason N Mactaggart; Abhishek Sundaram; Xiang Fang; Himani Gupta; Jason M Johanning; Iraklis I Pipinos
Journal:  J Vasc Surg       Date:  2012-11-15       Impact factor: 4.268

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