Skip to main content

Advertisement

Log in

Surgical Outcomes in Canada and the United States: An Analysis of the ACS-NSQIP Clinical Registry

  • Original Scientific Report
  • Published:
World Journal of Surgery Aims and scope Submit manuscript

Abstract

Background

There has been longstanding uncertainty over whether lower healthcare spending in Canada might be associated with inferior outcomes for hospital-based care. We hypothesized that mortality and surgical complication rates would be higher for patients who underwent four common surgical procedures in Canada as compared to the US.

Design, Setting, and Participants

We conducted a retrospective cohort study of all adults who underwent hip fracture repair, colectomy, pancreatectomy, or spine surgery in 96 Canadian and 585 US hospitals participating in the American College of Surgeons National Surgical Quality Improvement Project (ACS-NSQIP) between January 1, 2015 and December 31, 2019. We compared patients with respect to demographic characteristics and comorbidity. We then compared unadjusted and adjusted outcomes within 30-days of surgery for patients in Canada and the US including: (1) Mortality; (2) A composite constituting 1-or-more of the following complications (cardiac arrest; myocardial infarction; pneumonia; renal failure/; return to operating room; surgical site infection; sepsis; unplanned intubation).

Results

Our hip fracture cohort consisted of 21,166 patients in Canada (22.3%) and 73,817 in the US (77.7%), for colectomy 21,279 patients in Canada (8.9%) and 218,307 (91.1%), for pancreatectomy 873 (7.8%) in Canada and 12,078 (92.2%) in the US, and for spine surgery 14,088 (5.3%) and 252,029 (94.7%). Patient sociodemographics and comorbidity were clinically similar between jurisdictions. In adjusted analyses odds of death was significantly higher in Canada for two procedures (colectomy (OR 1.22; 95% CI 1.044–1.424; P = .012) and pancreatectomy (OR 2.11; 95% CI 1.26–3.56; P = .005)) and similar for hip fracture and spine surgery. Odds of the composite outcome were significantly higher in Canada for all 4 procedures, largely driven by higher risk of cardiac events and post-operative infections.

Conclusions

We found evidence of higher rates of mortality and surgical complications within 30-days of surgery for patients in Canada as compared to the US.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Baicker K, Chandra A (2018) Challenges in understanding differences in health care spending between the United States and other high-income countries. JAMA 319(10):986–987. https://doi.org/10.1001/jama.2018.1152[publishedOnlineFirst:2018/03/15]

    Article  PubMed  Google Scholar 

  2. Padget M, Biondi N, Brownwood I. 2020 Methodological development of international measurement of acute myocardial infarction 30-day mortality rates at the hospital level: OECD.

  3. Papanicolas I, Woskie LR, Jha AK (2018) Health care spending in the United States and other high-income countries. JAMA 319(10):1024–1039. https://doi.org/10.1001/jama.2018.1150[publishedOnlineFirst:2018/03/15]

    Article  PubMed  Google Scholar 

  4. Samsky MD, Ambrosy AP, Youngson E et al (2019) Trends in readmissions and length of stay for patients hospitalized with heart failure in Canada and the United States. JAMA Cardiol 4(5):444–453. https://doi.org/10.1001/jamacardio.2019.0766[publishedOnlineFirst:2019/04/11]

    Article  PubMed  PubMed Central  Google Scholar 

  5. Cram P, Landon BE, Matelski J et al (2018) Utilization and short-term outcomes of primary total hip and knee arthroplasty in the United States and Canada: an analysis of New York and Ontario administrative data. Arthritis Rheumatol 70(4):547–554. https://doi.org/10.1002/art.40407[publishedOnlineFirst:2017/12/30]

    Article  PubMed  PubMed Central  Google Scholar 

  6. Chung SC, Gedeborg R, Nicholas O et al (2014) Acute myocardial infarction: a comparison of short-term survival in national outcome registries in Sweden and the UK. Lancet 383(9925):1305–1312. https://doi.org/10.1016/s0140-6736(13)62070-x[publishedOnlineFirst:2014/01/28]

    Article  PubMed  PubMed Central  Google Scholar 

  7. Rapsomaniki E, Thuresson M, Yang E et al (2016) Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction. European Heart Journal - Quality of Care and Clinical Outcomes 2(3):172–183. https://doi.org/10.1093/ehjqcco/qcw004

    Article  PubMed  PubMed Central  Google Scholar 

  8. Cohen ME, Ko CY, Bilimoria KY et al (2013) Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus. J Am Coll Surg 217(2):336–346. https://doi.org/10.1016/j.jamcollsurg.2013.02.027[publishedOnlineFirst:2013/05/01]

    Article  PubMed  Google Scholar 

  9. Hart A, Bergeron SG, Epure L et al (2015) Comparison of US and Canadian perioperative outcomes and hospital efficiency after total hip and knee arthroplasty. JAMA Surg. https://doi.org/10.1001/jamasurg.2015.1239[publishedOnlineFirst:2015/08/20]

    Article  PubMed  Google Scholar 

  10. American College of Surgeons. 2016 American College of Surgeons National Surgical Quality Improvement Program Users Guide.

  11. Lawson EH, Louie R, Zingmond DS et al (2012) A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications. Ann Surg 256(6):973–981. https://doi.org/10.1097/SLA.0b013e31826b4c4f[publishedOnlineFirst:2012/10/26]

    Article  PubMed  Google Scholar 

  12. Goyal A, Ngufor C, Kerezoudis P et al (2019) Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? analysis of a national surgical registry. J Neurosurg Spine 31(4):568–578. https://doi.org/10.3171/2019.3.Spine181367[publishedOnlineFirst:2019/06/08]

    Article  Google Scholar 

  13. Maxwell BG, Mirza A (2019) Medical comanagement of hip fracture patients is not associated with superior perioperative outcomes: a propensity score-matched retrospective cohort analysis of the national surgical quality improvement project. J Hosp Med 14:E1-e7. https://doi.org/10.12788/jhm.3343[publishedOnlineFirst:2019/12/24]

    Article  Google Scholar 

  14. Basques BA, McLynn RP, Lukasiewicz AM et al (2018) Missing data may lead to changes in hip fracture database studies: a study of the American College of Surgeons National Surgical Quality improvement program. Bone Joint J 100-B(2):226–232. https://doi.org/10.1302/0301-620x.100b2.Bjj-2017-0791.R1[publishedOnlineFirst:2018/02/14]

    Article  CAS  PubMed  Google Scholar 

  15. Xourafas D, Ashley SW, Clancy TE (2017) Comparison of perioperative outcomes between open, laparoscopic, and robotic distal pancreatectomy: an analysis of 1815 patients from the ACS-NSQIP procedure-targeted pancreatectomy database. J Gastrointest Surg 21(9):1442–1452. https://doi.org/10.1007/s11605-017-3463-5[publishedOnlineFirst:2017/06/03]

    Article  PubMed  Google Scholar 

  16. Daniel FE, Tamim HM, Hosni MN et al (2019) Short-term surgical morbidity and mortality of distal pancreatectomy performed for benign versus malignant diseases: a NSQIP analysis. Surg Endosc. https://doi.org/10.1007/s00464-019-07163-5[publishedOnlineFirst:2019/10/11]

    Article  PubMed  Google Scholar 

  17. Papageorge CM, Zhao Q, Foley EF et al (2016) Short-term outcomes of minimally invasive versus open colectomy for colon cancer. J Surg Res 204(1):83–93. https://doi.org/10.1016/j.jss.2016.04.020[publishedOnlineFirst:2016/07/28]

    Article  PubMed  PubMed Central  Google Scholar 

  18. Nfonsam V, Aziz H, Pandit V et al (2016) Analyzing clinical outcomes in laparoscopic right vs. left colectomy in colon cancer patients using the NSQIP database. Cancer Treat Commun 8:1–4. https://doi.org/10.1016/j.ctrc.2016.03.006[publishedOnlineFirst:2016/10/25]

    Article  PubMed  PubMed Central  Google Scholar 

  19. Cohen ME, Liu Y, Ko CY et al (2017) An examination of American College of Surgeons NSQIP surgical risk calculator accuracy. J Am Coll Surg 224(5):787–95.e1. https://doi.org/10.1016/j.jamcollsurg.2016.12.057[publishedOnlineFirst:2017/04/09]

    Article  PubMed  Google Scholar 

  20. Roos LL, Fisher ES, Brazauskas R et al (1992) Health and surgical outcomes in Canada and the United States. Health Aff 11(2):56–72. https://doi.org/10.1377/hlthaff.11.2.56[publishedOnlineFirst:1992/01/01]

    Article  CAS  Google Scholar 

  21. Ko DT, Krumholz HM, Wang Y et al (2007) Regional differences in process of care and outcomes for older acute myocardial infarction patients in the United States and Ontario Canada. Circulation 115(2):196–203. https://doi.org/10.1161/circulationaha.106.657601[publishedOnlineFirst:2006/12/28]

    Article  PubMed  Google Scholar 

  22. Pilote L, Saynina O, Lavoie F et al (2003) Cardiac procedure use and outcomes in elderly patients with acute myocardial infarction in the United States and Quebec, Canada, 1988 to 1994. Med Care 41(7):813–822. https://doi.org/10.1097/01.mlr.0000068539.51969.36[publishedOnlineFirst:2003/07/02]

    Article  PubMed  Google Scholar 

  23. Cram P, Landon BE, Matelski J et al (2019) Utilization and outcomes for spine surgery in the United States and Canada. Spine 44(19):1371–1380. https://doi.org/10.1097/BRS.0000000000003083[publishedOnlineFirst:2019/07/02]

    Article  PubMed  PubMed Central  Google Scholar 

  24. Ho V, Hamilton BH, Roos LL (2000) Multiple approaches to assessing the effects of delays for hip fracture patients in the United States and Canada. Health Serv Res 34(7):1499–1518

    CAS  PubMed  PubMed Central  Google Scholar 

  25. Cram P, Lix LM, Bohm E et al (2019) Hip fracture care in Manitoba, Canada and New York State, United States: an analysis of administrative data. CMAJ Open 7(1):E55–E62. https://doi.org/10.9778/cmajo.20180126[publishedOnlineFirst:2019/02/14]

    Article  PubMed  PubMed Central  Google Scholar 

  26. Cram P, Ibrahim SA, Lu X et al (2012) Impact of alternative coding schemes on incidence rates of key complications after total hip arthroplasty: a risk-adjusted analysis of a national data set. Geriatr Orthop Surg Rehabil 3(1):17–26. https://doi.org/10.1177/2151458511435723[publishedOnlineFirst:2013/04/10]

    Article  PubMed  PubMed Central  Google Scholar 

  27. Austin PC, van Walraven C, Wodchis WP et al (2011) Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario Canada. Med Care 49(10):932–939. https://doi.org/10.1097/MLR.0b013e318215d5e2[publishedOnlineFirst:2011/04/12]

    Article  PubMed  PubMed Central  Google Scholar 

  28. Pang HYM, Chalmers K, Landon B et al (2021) Utilization Rates of Pancreatectomy, Radical Prostatectomy, and Nephrectomy in New York, Ontario, and New South Wales, 2011 to 2018. JAMA Netw Open 4(4):e215477. https://doi.org/10.1001/jamanetworkopen.2021.5477[publishedOnlineFirst:2021/04/20]

    Article  PubMed  PubMed Central  Google Scholar 

  29. Doyle DJ, Goyal A, Bansal P, et al. 2020 American Society of Anesthesiologists Classification (ASA Class). StatPearls. Treasure Island (FL): StatPearls Publishing Copyright © 2020, StatPearls Publishing LLC

  30. Redelmeier DA, Thiruchelvam D, Daneman N (2008) Introducing a methodology for estimating duration of surgery in health services research. J Clin Epidemiol 61(9):882–889. https://doi.org/10.1016/j.jclinepi.2007.10.015[publishedOnlineFirst:2008/05/13]

    Article  PubMed  Google Scholar 

  31. Sun EC, Dutton RP, Jena AB (2018) Comparison of anesthesia times and billing patterns by anesthesia practitioners. JAMA Netw Open 1(7):e184288–e184388. https://doi.org/10.1001/jamanetworkopen.2018.4288

    Article  PubMed  PubMed Central  Google Scholar 

  32. Yasaitis LC, Guan J, Ko DT et al (2020) Cardiac intervention rates for older patients with acute myocardial infarction in the United States and Ontario, 2003–2013: a retrospective cohort study. CMAJ Open 8(2):E437–E447. https://doi.org/10.9778/cmajo.20190190

    Article  PubMed  PubMed Central  Google Scholar 

  33. Liu JB, Berian JR, Chen S et al (2017) Postoperative complications and hospital payment: implications for achieving value. J Am Coll Surg 224(5):779–86.e2. https://doi.org/10.1016/j.jamcollsurg.2017.01.041[publishedOnlineFirst:2017/02/01]

    Article  PubMed  Google Scholar 

  34. Eappen S, Lane BH, Rosenberg B et al (2013) Relationship between occurrence of surgical complications and hospital finances. JAMA 309(15):1599–1606. https://doi.org/10.1001/jama.2013.2773[publishedOnlineFirst:2013/04/18]

    Article  CAS  PubMed  Google Scholar 

  35. Simpson J (2012) Chronic Condition. Allan Lane, Toronto

    Google Scholar 

  36. Kreindler SA, Siragusa L, Bohm E et al (2017) Regional consolidation of orthopedic surgery: impacts on hip fracture surgery access and outcomes. Can J Surg 60(5):349–354. https://doi.org/10.1503/cjs.000517[publishedOnlineFirst:2017/09/21]

    Article  PubMed  PubMed Central  Google Scholar 

  37. Grumbach K, Anderson GM, Luft HS et al (1995) Regionalization of cardiac surgery in the United States and Canada. Geographic access, choice, and outcomes. JAMA 274(16):1282–1288

    Article  CAS  Google Scholar 

  38. Wijeysundera HC, Wong WW, Bennell MC et al (2014) Impact of wait times on the effectiveness of transcatheter aortic valve replacement in severe aortic valve disease: a discrete event simulation model. Can J Cardiol 30(10):1162–1169. https://doi.org/10.1016/j.cjca.2014.03.009[publishedOnlineFirst:2014/07/23]

    Article  PubMed  Google Scholar 

  39. Urbach DR, Bell CM, Austin PC (2003) Differences in operative mortality between high- and low-volume hospitals in Ontario for 5 major surgical procedures: estimating the number of lives potentially saved through regionalization. CMAJ 168(11):1409–1414

    PubMed  PubMed Central  Google Scholar 

  40. Aiken LH, Sloane DM, Bruyneel L et al (2014) Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study. Lancet 383(9931):1824–1830. https://doi.org/10.1016/s0140-6736(13)62631-8[publishedOnlineFirst:2014/03/04]

    Article  PubMed  PubMed Central  Google Scholar 

  41. Cram P, Chopra V, Soong C et al (2019) Reimagining inpatient care in Canadian teaching hospitals: bold initiatives or tinkering at the margins? J Hosp Med 14(4):251–253. https://doi.org/10.12788/jhm.3146[publishedOnlineFirst:2019/04/02]

    Article  PubMed  Google Scholar 

  42. Dunbar-Yaffe R, Wu RC, Oza A et al (2021) Impact of an internal medicine nocturnist service on care of patients with cancer at a large Canadian teaching hospital: a quality-improvement study. CMAJ Open 9(2):E667–E672. https://doi.org/10.9778/cmajo.20200167[publishedOnlineFirst:2021/06/20]

    Article  PubMed  PubMed Central  Google Scholar 

  43. Schneider EC, Squires D (2017) From last to first - could the U.S. Health Care system become the best in the world? N Engl J Med 377(10):901–904. https://doi.org/10.1056/NEJMp1708704[publishedOnlineFirst:2017/07/15]

    Article  PubMed  Google Scholar 

  44. Auspitz M, Cleghorn MC, Tse A et al (2015) Understanding quality issues in your surgical department: comparing the ACS NSQIP with traditional morbidity and mortality conferences in a Canadian Academic Hospital. J Surg Educ 72(6):1272–1277. https://doi.org/10.1016/j.jsurg.2015.05.006[publishedOnlineFirst:2015/06/30]

    Article  PubMed  Google Scholar 

  45. Byrnes J (2016) Winning at quality and safety: do you need a chief quality officer? J Healthc Manag 61(6):391–395. https://doi.org/10.1097/00115514-201611000-00003[publishedOnlineFirst:2016/01/01]

    Article  PubMed  Google Scholar 

  46. Cram P, Girotra S, Matelski J et al (2020) Utilization of advanced cardiovascular therapies in the United States and Canada: an observational study of New York and Ontario administrative data. Circ Cardiovasc Qual Outcomes 13(1):e006037-e6137. https://doi.org/10.1161/CIRCOUTCOMES.119.006037[publishedOnlineFirst:2020/01/20]

    Article  PubMed  PubMed Central  Google Scholar 

  47. Davis C, Rhodes DJ (1988) The impact of DRGs on the cost and quality of health care in the United States. Health Policy 9(2):117–131. https://doi.org/10.1016/0168-8510(88)90029-2[publishedOnlineFirst:1987/12/11]

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter Cram.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1

See Table 2

Table 2 List of codes used for identification of hip fractures, colectomy, pancreatectomy, and spine surgery

Appendix 2

See Table 3

Table 3 Unadjusted outcomes for hip fracture, colectomy, pancreatectomy, and spine surgery performed in Canada and the USA

Appendix 3

See Table

Table 4 Odds of adverse outcomes in Canada (USA as reference) for each surgical procedure and outcome in models including and excluding ASA class from models

4

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cram, P., Cohen, M.E., Ko, C. et al. Surgical Outcomes in Canada and the United States: An Analysis of the ACS-NSQIP Clinical Registry. World J Surg 46, 1039–1050 (2022). https://doi.org/10.1007/s00268-022-06444-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00268-022-06444-w

Navigation