Association of Hospital Participation in a Surgical Outcomes Monitoring Program With Inpatient Complications and Mortality

被引:155
作者
Etzioni, David A. [1 ,2 ]
Wasif, Nabil [1 ,2 ]
Dueck, Amylou C. [2 ]
Cima, Robert R. [2 ,3 ]
Hohmann, Samuel F. [4 ,5 ]
Naessens, James M. [2 ]
Mathur, Amit K. [1 ,2 ]
Habermann, Elizabeth B. [2 ]
机构
[1] Mayo Clin Arizona, Dept Surg, Phoenix, AZ 85054 USA
[2] Mayo Clin, Robert D & Patricia E Kern Ctr Sci Hlth Care Deli, Surg Outcomes Div, Phoenix, AZ USA
[3] Mayo Clin Rochester, Dept Surg, Rochester, MN USA
[4] Univ HealthSyst Consortium, Chicago, IL USA
[5] Rush Univ, Dept Hlth Syst Management, Chicago, IL 60612 USA
来源
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2015年 / 313卷 / 05期
关键词
D O I
10.1001/jama.2015.90
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IMPORTANCE Programs that analyze and report rates of surgical complications are an increasing focus of quality improvement efforts. The most comprehensive tool currently used for outcomes monitoring in the United States is the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP). OBJECTIVE To compare surgical outcomes experienced by patients treated at hospitals that did vs did not participate in the NSQIP. DESIGN, SETTING, AND PARTICIPANTS Data from the University HealthSystem Consortium from January 2009 to July 2013 were used to identify elective hospitalizations representing a broad spectrum of elective general/vascular operations in the United States. Data on hospital participation in the NSQIP were obtained through review of semiannual reports published by the ACS. Hospitalizations at any hospital that discontinued or initiated participation in the NSQIP during the study period were excluded after the date on which that hospital's status changed. A difference-in-differences approach was used to model the association between hospital-based participation in NSQIP and changes in rates of postoperative outcomes over time. EXPOSURE Hospital participation in the NSQIP. MAIN OUTCOMES AND MEASURES Risk-adjusted rates of any complications, serious complications, and mortality during a hospitalization for elective general/vascular surgery. RESULTS The cohort included 345 357 hospitalizations occurring in 113 different academic hospitals; 172 882 (50.1%) hospitalizations were in NSQIP hospitals. Hospitalized patients were predominantly female (61.5%), with a mean age of 55.7 years. The types of procedures performed most commonly in the analyzed hospitalizations were hernia repairs (15.7%), bariatric (10.5%), mastectomy (9.7%), and cholecystectomy (9.0%). After accounting for patient risk, procedure type, underlying hospital performance, and temporal trends, the difference-in-differences model demonstrated no statistically significant differences over time between NSQIP and non-NSQIP hospitals in terms of likelihood of complications (adjusted odds ratio, 1.00; 95% CI, 0.97-1.03), serious complications (adjusted odds ratio, 0.98; 95% CI, 0.94-1.03), or mortality (adjusted odds ratio, 1.04; 95% CI, 0.94-1.14). CONCLUSIONS AND RELEVANCE No association was found between hospital-based participation in the NSQIP and improvements in postoperative outcomes over time within a large cohort of patients undergoing elective general/vascular operations at academic hospitals in the United States. These findings suggest that a surgical outcomes reporting system does not provide a clear mechanism for quality improvement.
引用
收藏
页码:505 / 511
页数:7
相关论文
共 19 条
  • [1] Semiparametric difference-in-differences estimators
    Abadie, A
    [J]. REVIEW OF ECONOMIC STUDIES, 2005, 72 (01) : 1 - 19
  • [2] Association between Surgical Care Improvement Program venous thromboembolism measures and postoperative events
    Altom, Laura K.
    Deierhoi, Rhiannon J.
    Grams, Jayleen
    Richman, Joshua S.
    Vick, Catherine C.
    Henderson, William G.
    Itani, Kamal M. F.
    Hawn, Mary T.
    [J]. AMERICAN JOURNAL OF SURGERY, 2012, 204 (05) : 591 - 597
  • [3] American College of Surgeons National Surgical Quality Improvement Program, 2014, ACS NSQIP SEMIANNUAL
  • [4] [Anonymous], HOSPITAL ACQUIRED CO
  • [5] Assessing Surgical Quality Using Administrative and Clinical Data Sets: A Direct Comparison of the University HealthSystem Consortium Clinical Database and the National Surgical Quality Improvement Program Data Set
    Davenport, Daniel L.
    Holsapple, Clyde W.
    Conigliaro, Joseph
    [J]. AMERICAN JOURNAL OF MEDICAL QUALITY, 2009, 24 (05) : 395 - 402
  • [6] Methods for Evaluating Changes in Health Care Policy The Difference-in-Differences Approach
    Dimick, Justin B.
    Ryan, Andrew M.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2014, 312 (22): : 2401 - 2402
  • [7] Fetter RB., 1980, MED CARE, V18, P1
  • [8] Does Surgical Quality Improve in the American College of Surgeons National Surgical Quality Improvement Program An Evaluation of All Participating Hospitals
    Hall, Bruce L.
    Hamilton, Barton H.
    Richards, Karen
    Bilimoria, Karl Y.
    Cohen, Mark E.
    Ko, Clifford Y.
    [J]. ANNALS OF SURGERY, 2009, 250 (03) : 363 - 376
  • [9] Surgical Site Infection Prevention Time to Move Beyond the Surgical Care Improvement Program
    Hawn, Mary T.
    Vick, Catherine C.
    Richman, Joshua
    Holman, William
    Deierhoi, Rhiannon J.
    Graham, Laura A.
    Henderson, William G.
    Itani, Kamal M. F.
    [J]. ANNALS OF SURGERY, 2011, 254 (03) : 494 - 501
  • [10] A Surgical Safety Checklist to Reduce Morbidity and Mortality in a Global Population.
    Haynes, Alex B.
    Weiser, Thomas G.
    Berry, William R.
    Lipsitz, Stuart R.
    Breizat, Abdel-Hadi S.
    Dellinger, E. Patchen
    Herbosa, Teodoro
    Joseph, Sudhir
    Kibatala, Pascience L.
    Lapitan, Marie Carmela M.
    Merry, Alan F.
    Moorthy, Krishna
    Reznick, Richard K.
    Taylor, Bryce
    Gawande, Atul A.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2009, 360 (05) : 491 - 499