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Regional variation in critical care provision and outcome after high-risk surgery

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Abstract

Purpose

Evidence of variation in mortality after surgery may indicate preventable postoperative death. We sought to determine if regional differences in outcome were present in surgical patients admitted to critical care in the UK.

Methods

We extracted data on admission characteristics, case mix and outcome of all patients admitted to UK critical care units following surgery for the calendar year of 2009. We also used publicly held data on regional population, volume of surgery and bed provision. Multilevel regression analysis was used to adjust for the effects of case mix and regional critical care bed provision on acute hospital mortality.

Results

A total of 16,147 patients admitted to critical care following surgery were included in this analysis. Median odds ratio (MOR) was used to describe regional-level variance in acute hospital mortality. Significant variation was identified (MOR 1.14; 95 % CI 1.07, 1.28) and persisted following adjustment for case mix (MOR 1.10; 95 % CI 1.04, 1.25) and regional critical care bed provision (MOR 1.09; 95 % CI 1.04, 1.24). Critical care bed utilisation (surgical critical care admissions per 100,000 surgical procedures) seemed to better explain this observation (MOR 1.03; 95 % CI 1.00, 29.26) and was associated with statistically significant reduction in mortality (OR 0.91; 95 % CI 0.85, 0.97; p = 0.01).

Conclusion

Significant regional variation in hospital mortality for patients admitted to critical care following surgery was observed. Critical care bed utilisation seemed to better explain this observation and was associated with improved outcome.

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References

  1. Weiser TG, Regenbogen SE, Thompson KD et al (2008) An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet 372(9633):139–144

    Article  PubMed  Google Scholar 

  2. Khuri SF, Henderson WG, DePalma RG et al (2005) Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg 242(3):326–341

    PubMed Central  PubMed  Google Scholar 

  3. Wang Y, Eldridge N, Metersky ML et al (2014) National trends in patient safety for four common conditions, 2005–2011. N Engl J Med 370:341–351

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  4. Bennett-Guerrero E, Hyam JA, Shaefi S et al (2003) Comparison of P-POSSUM risk-adjusted mortality rates after surgery between patients in the USA and the UK. Br J Surg 90:1593–1598

    Article  CAS  PubMed  Google Scholar 

  5. Symons NR, Moorthy K, Almoudaris AM et al (2013) Mortality in high-risk emergency general surgical admissions. Br J Surg 100:1318–1325

    Article  CAS  PubMed  Google Scholar 

  6. Saunders DI, Murray D, Pichel AC, Varley S, Peden CJ, On behalf of the members of the UK Emergency Laparotomy Network (2012) Variations in mortality after emergency laparotomy: the first report of the UK Emergency Laparotomy Network. Br J Anaesth 109:368–375

    Article  CAS  PubMed  Google Scholar 

  7. Pearse RM, Moreno RP, Bauer P et al (2012) Mortality after surgery in europe: a 7 day cohort study. Lancet 380:1059–1065

    Article  PubMed Central  PubMed  Google Scholar 

  8. Ghaferi AA, Birkmeyer JD, Dimick JB (2009) Variation in hospital mortality associated with inpatient surgery. N Engl J Med 361:1368–1375

    Article  CAS  PubMed  Google Scholar 

  9. Aylin P, Alexandrescu R, Jen MH, Mayer EK, Bottle A (2013) Day of week of procedure and 30 day mortality for elective surgery: retrospective analysis of hospital episode statistics. BMJ. doi:10.1136/bmj.f2424

    PubMed Central  Google Scholar 

  10. Finks JF, Osborne NH, Birkmeyer JD (2011) Trends in hospital volume and operative mortality for high-risk surgery. N Engl J Med 364:2128–2137

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Wunsch H, Angus DC, Harrison DA et al (2008) Variation in critical care services across North America and Western Europe. Crit Care Med 36:2787–2793

    Article  PubMed  Google Scholar 

  12. Jhanji S, Thomas B, Ely A, Watson D, Hinds CJ, Pearse RM (2008) Mortality and utilisation of critical care resources amongst high-risk surgical patients in a large NHS trust. Anaesthesia 63:695–700

    Article  CAS  PubMed  Google Scholar 

  13. The General Register Office (Scotland) (2010) Mid-2009 population estimates Scotland population estimates by sex, age and administrative area. ONS, Edinburgh

  14. The Office for National Statistics (2010) Population estimates for UK, England and Wales, Scotland and Northern Ireland, mid 2009. http://www.ons.gov.uk/ons/publications/re-reference-tables.html?edition=tcm%3A77-213645. Updated 2010. Accessed 26 Feb 2012

  15. Eddleston J, Goldhill D, Morris J (2009) Levels of critical care for adult patients. Intensive Care Society Standards, London

    Google Scholar 

  16. Larsen K, Merlo J (2005) Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol 161:81–88

    Article  PubMed  Google Scholar 

  17. Merlo J, Chaix B, Yang M, Lynch J, Råstam L (2005) A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon. J Epidemiol Community Health 59:443–449

    Article  PubMed Central  PubMed  Google Scholar 

  18. Hamilton MA, Cecconi M, Rhodes A (2011) A systematic review and meta-analysis on the use of preemptive hemodynamic intervention to improve postoperative outcomes in moderate and high-risk surgical patients. Anesth Analg 112:1392–1402

    Article  PubMed  Google Scholar 

  19. Pearse R, Dawson D, Fawcett J, Rhodes A, Grounds RM, Bennett ED (2005) Early goal-directed therapy after major surgery reduces complications and duration of hospital stay. A randomised, controlled trial. Crit Care 9:R687–R693

    Article  PubMed Central  PubMed  Google Scholar 

  20. Information Services Division (2007) NHS hospital data quality: towards better data from Scottish hospitals. Scottish Executive Health Department, Edinburgh

    Google Scholar 

  21. Young MJ, Lenhart J, Wasser TE et al (1999) Evidence for the Will Rogers phenomenon in migration of employees to managed care plans. Ann Intern Med 14(9):564–566

    CAS  Google Scholar 

  22. Appleby J, Raleigh V, Frosini F, Bevan G, Gao H, Lyscom T (2011) Variations in health care: the good, the bad and the inexplicable. The King’s Fund, London

    Google Scholar 

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Authors and Affiliations

Authors

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Correspondence to Michael A. Gillies.

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Conflicts of interest

MG holds a Chief Scientist Office (Scotland) NHS Research Scheme Fellowship. RP reports grants and personal fees from Nestle Health Sciences, personal fees from Massimo Inc., personal fees from Edwards Life Sciences, and equipment loans from LiDCO Ltd. The other authors confirm they have no conflict of interest.

Sources of funding

MG holds a research fellowship from the Chief Scientist’s Office, Scotland.

Additional information

Take-home message: Regional variation in mortality for patients admitted to ICU after high-risk surgery exists within a uniform healthcare system and persists after adjustment for case mix. Variation in absolute regional provision of intensive care beds (ICU beds per 100,000 population) did not appear to explain this finding; ICU bed utilisation (ICU admissions per 100,000 surgical procedures) better explains the observed variation and is associated with improved outcome.

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Gillies, M.A., Power, G.S., Harrison, D.A. et al. Regional variation in critical care provision and outcome after high-risk surgery. Intensive Care Med 41, 1809–1816 (2015). https://doi.org/10.1007/s00134-015-3980-1

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  • DOI: https://doi.org/10.1007/s00134-015-3980-1

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