Abstract
Background
All-cause perioperative mortality rate (POMR) is a commonly reported metric to assess surgical quality. Benchmarking POMR remains difficult due to differences in surgical volume and case mix combined with the burden of reporting and leveraging this complex and high-volume data. We seek to determine whether the pooled and individual procedure POMR of each bellwether (cesarean section, laparotomy, management of open fracture) correlate with state-level all-cause POMR in the interest of identifying benchmark procedures that can be used to make standardized regional comparisons of surgical quality.
Methods
The Brazilian National Healthcare Database (DATASUS) was queried to identify unadjusted all-cause POMR for all patient admissions among public hospitals in Brazil in 2018. Bellwether procedures were identified as any procedure involving laparotomy, cesarean section, or treatment of open long bone fracture and then classified as emergent or elective. The pooled POMR of all bellwether procedures as well as for each individual bellwether procedure was compared with the all-cause POMR in each of the 26 states, and one federal district and correlations were calculated. Funnel plots were used to compare surgical volume to perioperative mortality for each bellwether procedure.
Results
4,756,642 surgical procedures were reported to DATASUS in 2018: 237,727 emergent procedures requiring laparotomy, 852,821 emergent cesarean sections, and 210,657 open, long bone fracture repairs. Pooled perioperative mortality for all of the bellwether procedures was correlated with all-procedure POMR among states (r = 0.77, p < 0.001). POMR for emergency procedures (2.4%) correlated with the all-procedure (emergent and elective) POMR (1.6%, r = 0.93, p < .001), while POMR for elective procedures (0.4%) did not (p = .247). POMR for emergency laparotomy (4.4%) correlated with all-procedure POMR (1.6%, r = 0.52, p = .005), as did the POMR for open, long bone fractures (0.8%, r = 0.61, p < .001). POMR for emergency cesarean section (0.05%) did not correlate with all-procedure POMR (p = 0.400). There was a correlation between surgical volume and emergency laparotomy POMR (r = − 0.53, p = .004), but not for emergency cesarean section or open, long bone fractures POMR.
Conclusion
Procedure-specific POMR for laparotomy and open long bone fracture correlates modestly with all-procedure POMR among Brazilian states which is primarily driven by emergency procedure POMR. Selective reporting of emergency laparotomy and open fracture POMR may be a useful surrogate to guide subnational surgical policy decisions.
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References
Shrime MG, Bickler SW, Alkire BC, Mock C (2015) Global burden of surgical disease: an estimation from the provider perspective. Lancet Glob Health 3:S8–S9. https://doi.org/10.1016/S2214-109X(14)70384-5
Meara JG, Leather AJM, Hagander L et al (2015) Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet Lond Engl 386(9993):569–624. https://doi.org/10.1016/S0140-6736(15)60160-X
Kamali P. Measuring surgical systems worldwide: an update. The Data Blog. https://blogs.worldbank.org/opendata/measuring-surgical-systems-worldwide-update. Published February 12, 2018. Accessed 3 March 2019
Hoyler M, Finlayson SRG, McClain CD, Meara JG, Hagander L (2014) Shortage of doctors, shortage of data: a review of the global surgery, obstetrics, and anesthesia workforce literature. World J Surg 38(2):269–280. https://doi.org/10.1007/s00268-013-2324-y
Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015—ScienceDirect. https://www.sciencedirect.com/science/article/pii/S0140673617308188. Accessed 4 March 2019
13th General Programme of Work (GPW13) WHO Impact Framework. October 2018. https://www.who.int/about/what-we-do/GPW13_WHO_Impact_Framework_Indicator_Metadata.pdf
O’Neill KM, Greenberg SL, Cherian M et al (2016) Bellwether procedures for monitoring and planning essential surgical care in low- and middle-income countries: caesarean delivery, laparotomy, and treatment of open fractures. World J Surg 40(11):2611–2619. https://doi.org/10.1007/s00268-016-3614-y
Marks IH, Fong ZV, Stapleton SM, Hung Y-C, Bababekov YJ, Chang DC (2018) How much data are good enough? Using simulation to determine the reliability of estimating POMR for resource-constrained settings. World J Surg 42(8):2344–2347. https://doi.org/10.1007/s00268-018-4529-6
Ng-Kamstra JS, Arya S, Greenberg SLM et al (2018) Perioperative mortality rates in low-income and middle-income countries: a systematic review and meta-analysis. BMJ Glob Health 3(3):e000810. https://doi.org/10.1136/bmjgh-2018-000810
Paim J, Travassos C, Almeida C, Bahia L, Macinko J (2011) The Brazilian health system: history, advances, and challenges. Lancet 377(9779):1778–1797. https://doi.org/10.1016/S0140-6736(11)60054-8
Alonso N, Massenburg BB, Galli R, Sobrado L, Birolini D (2017) Surgery in Brazilian health care: funding and physician distribution. Rev Col Bras Cir 44(2):202–207. https://doi.org/10.1590/0100-69912017002016
Massuda A, Hone T, Leles FAG, de Castro MC, Atun R (2018) The Brazilian health system at crossroads: progress, crisis and resilience. BMJ Glob Health 3(4):e000829. https://doi.org/10.1136/bmjgh-2018-000829
Watters DA, Hollands MJ, Gruen RL et al (2015) Perioperative mortality rate (POMR): a global indicator of access to safe surgery and anaesthesia. World J Surg 39(4):856–864. https://doi.org/10.1007/s00268-014-2638-4
Início - DATASUS. http://datasus.saude.gov.br/. Accessed 4 March 2019
QUALISS - Indicadores Hospitalares Essenciais - 2013/14 - ANS - Agência Nacional de Saúde Suplementar. http://www.ans.gov.br/prestadores/qualiss-programa-de-qualificacao-dos-prestadores-de-servicos-de-saude/qualiss-programa-de-qualificacao-de-prestadores-de-servicos-de-saude/monitoramento-da-qualidade-dos-prestadores-de-servicos-de-saude/modulos-e-indicadores/qualiss-indicadores-hospitalares-essenciais-2013-14?highlight=WyJ0YXhhIiwidGF4YXMiLCJ0YXhhZGEiLCJkZSIsIm1vcnRhbGlkYWRlIiwidGF4YSBkZSIsInRheGEgZGUgbW9ydGFsaWRhZGUiLCJkZSBtb3J0YWxpZGFkZSJd. Accessed 13 March 2019
Basic indicators for health in Brazil: concepts and applications - Book - 2nd edition - 2008. http://www.ripsa.org.br/2014/10/30/indicadores-basicos-para-a-saude-no-brasil-conceitos-e-aplicacoes-livro-2a-edicao-2008-2/. Accessed 13 Feb 2020
Brazil (ed) (2006) Guia de vigilância epidemiológica. 6a ed., [1a reimpressão]. Brasília, DF: Ministério da Saúde, Secretaria de Vigilância em Saúde, Departamento de Vigilância Epidemiológica
Machado JP, Martins M, da Leite I C, Machado JP, Martins M, da Leite I C (2016) Quality of hospital databases in Brazil: some elements. Rev Bras Epidemiol 19(3):567–581. https://doi.org/10.1590/1980-5497201600030008
Bittencourt SA, Camacho LAB, do LealM C (2006) Hospital Information Systems and their application in public health. Cad Saude Publica 22(1):19–30. https://doi.org/10.1590/s0102-311x2006000100003
Massenburg BB, Saluja S, Jenny HE et al (2017) Assessing the Brazilian surgical system with six surgical indicators: a descriptive and modelling study. BMJ Glob Health 2(2):e000226. https://doi.org/10.1136/bmjgh-2016-000226
Prin M, Guglielminotti J, Mtalimanja O, Li G, Charles A (2018) Emergency-to-elective surgery ratio: a global indicator of access to surgical care. World J Surg 42(7):1971–1980. https://doi.org/10.1007/s00268-017-4415-7
Hanna JS, Herrera-Almario GE, Pinilla-Roncancio M et al (2020) Use of the six core surgical indicators from the Lancet Commission on Global Surgery in Colombia: a situational analysis. Lancet Glob Health 8(5):e699–e710. https://doi.org/10.1016/S2214-109X(20)30090-5
Population Projection | IBGE. https://www.ibge.gov.br/en/statistics/social/population/18176-population-projection.html?=&t=resultados. Accessed 30 Oct 2019
Hosseinpoor AR, Bergen N, Barros AJD, Wong KLM, Boerma T, Victora CG (2016) Monitoring subnational regional inequalities in health: measurement approaches and challenges. Int J Equity Health 15(1):18. https://doi.org/10.1186/s12939-016-0307-y
Ariyaratnam R, Palmqvist CL, Hider P et al (2015) Toward a standard approach to measurement and reporting of perioperative mortality rate as a global indicator for surgery. Surgery 158(1):17–26. https://doi.org/10.1016/j.surg.2015.03.024
Ng-Kamstra JS, Greenberg SLM, Kotagal M et al (2015) Use and definitions of perioperative mortality rates in low-income and middle-income countries: a systematic review. Lancet Lond Engl 385(Suppl 2):S29. https://doi.org/10.1016/S0140-6736(15)60824-8
Thompson AM, Ashraf Z, Burton H, Stonebridge PA (2005) Mapping changes in surgical mortality over 9 years by peer review audit. BJS 92(11):1449–1452. https://doi.org/10.1002/bjs.5082
Cecatti JG, Costa ML, Haddad SM et al (2016) Network for surveillance of severe maternal morbidity: a powerful national collaboration generating data on maternal health outcomes and care. BJOG Int J Obstet Gynaecol 123(6):946–953. https://doi.org/10.1111/1471-0528.13614
Al-Temimi MH, Griffee M, Enniss TM et al (2012) When is death inevitable after emergency laparotomy? Analysis of the American College of Surgeons National Surgical Quality Improvement Program Database. J Am Coll Surg 215(4):503–511. https://doi.org/10.1016/j.jamcollsurg.2012.06.004
Saunders DI, Murray D, Pichel AC, Varley S, Peden CJ (2012) UK emergency laparotomy network. Variations in mortality after emergency laparotomy: the first report of the UK emergency laparotomy network. Br J Anaesth 109(3):368–375. https://doi.org/10.1093/bja/aes165
Beiles CB, Retegan C, Maddern GJ (2015) Victorian audit of surgical mortality is associated with improved clinical outcomes. ANZ J Surg 85(11):803–807. https://doi.org/10.1111/ans.12787
Anderson GA, Ilcisin L, Abesiga L et al (2017) Surgical volume and postoperative mortality rate at a referral hospital in Western Uganda: measuring the lancet commission on global surgery indicators in low-resource settings. Surgery 161(6):1710–1719. https://doi.org/10.1016/j.surg.2017.01.009
Nakamura-Pereira M, do Carmo Leal M, Esteves-Pereira AP et al (2016) Use of Robson classification to assess cesarean section rate in Brazil: the role of source of payment for childbirth. Reprod Health 13(S3):128. https://doi.org/10.1186/s12978-016-0228-7
Molina G, Weiser TG, Lipsitz SR et al (2015) Relationship between cesarean delivery rate and maternal and neonatal mortality. JAMA 314(21):2263–2270. https://doi.org/10.1001/jama.2015.15553
Betrán AP, Ye J, Moller A-B, Zhang J, Gülmezoglu AM, Torloni MR (2016) The increasing trend in caesarean section rates: global, regional and national estimates: 1990–2014. PLoS ONE 11(2):e0148343. https://doi.org/10.1371/journal.pone.0148343
Rocha TAH, da Silva NC, Barbosa ACQ et al (2018) National registry of health facilities: data reliability evidence. Ciênc Amp Saúde Colet 23(1):229–240. https://doi.org/10.1590/1413-81232018231.16672015
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Truche, P., Roa, L., Citron, I. et al. Bellwether Procedures for Monitoring Subnational Variation of All-cause Perioperative Mortality in Brazil. World J Surg 44, 3299–3309 (2020). https://doi.org/10.1007/s00268-020-05607-x
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DOI: https://doi.org/10.1007/s00268-020-05607-x