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Use of failure-to-rescue to identify international variation in postoperative care in low-, middle- and high-income countries: a 7-day cohort study of elective surgery

a 7-day cohort study of elective surgery
Authors: Mguni, Nhlanhla; Panagiotakis, Christos; Hu, Liu; Funk, Duane; Cao, Jianqiao; Smith, Nicola; van der Merwe, Doreen; +193 Authors

Use of failure-to-rescue to identify international variation in postoperative care in low-, middle- and high-income countries: a 7-day cohort study of elective surgery

Abstract

The incidence and impact of postoperative complications are poorly described. Failure-to-rescue, the rate of death following complications, is an important quality measure for perioperative care but has not been investigated across multiple health care systems.We analysed data collected during the International Surgical Outcomes Study, an international 7-day cohort study of adults undergoing elective inpatient surgery. Hospitals were ranked by quintiles according to surgical procedural volume (Q1 lowest to Q5 highest). For each quintile we assessed in-hospital complications rates, mortality, and failure-to-rescue. We repeated this analysis ranking hospitals by risk-adjusted complication rates (Q1 lowest to Q5 highest).A total of 44 814 patients from 474 hospitals in 27 low-, middle-, and high-income countries were available for analysis. Of these, 7508 (17%) developed one or more postoperative complication, with 207 deaths in hospital (0.5%), giving an overall failure-to-rescue rate of 2.8%. When hospitals were ranked in quintiles by procedural volume, we identified a three-fold variation in mortality (Q1: 0.6% vs Q5: 0.2%) and a two-fold variation in failure-to-rescue (Q1: 3.6% vs Q5: 1.7%). Ranking hospitals in quintiles by risk-adjusted complication rate further confirmed the presence of important variations in failure-to-rescue, indicating differences between hospitals in the risk of death among patients after they develop complications.Comparison of failure-to-rescue rates across health care systems suggests the presence of preventable postoperative deaths. Using such metrics, developing nations could benefit from a data-driven approach to quality improvement, which has proved effective in high-income countries.

Countries
Netherlands, Italy, United Kingdom, United Kingdom, United Kingdom, Netherlands, Netherlands, Belgium
Keywords

Postoperative Complications/epidemiology, operative, Adult, Male, 610, GLOBAL HEALTH, methods, Cohort Studies, Postoperative Complications, surgical procedures, operative, mortality, HOSPITAL MORTALITY, 80 and over, statistics and numerical data, QUALITY, Humans, Hospital Mortality, Prospective Studies, postoperative care, statistics and numerical data, Aged, Quality of Health Care, Aged, 80 and over, Postoperative Care, HIGH-RISK SURGERY, COMPLICATIONS, OUTCOMES, methods; methods; mortality; operative; postoperative care; postoperative care; postoperative care; statistics and numerical data; surgical procedures, Middle Aged, postoperative care, mortality, PATIENT MORTALITY, CANCER-SURGERY, surgical procedures, Logistic Models, VOLUME, method, postoperative care, methods, Female, Human medicine, Postoperative Care/standards, SURGICAL MORTALITY

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    75
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
75
Top 1%
Top 10%
Top 10%
Green
hybrid