Literature DB >> 25958067

Toward a standard approach to measurement and reporting of perioperative mortality rate as a global indicator for surgery.

Roshan Ariyaratnam1, Charlotta L Palmqvist2, Phil Hider3, Grant L Laing4, Douglas Stupart5, Leona Wilson6, Damian L Clarke4, Lars Hagander2, David A Watters7, Russell L Gruen8.   

Abstract

INTRODUCTION: The proportion of patients who die during or after surgery, otherwise known as the perioperative mortality rate (POMR), is a credible indicator of the safety and quality of operative care. Its accuracy and usefulness as a metric, however, particularly one that enables valid comparisons over time or between jurisdictions, has been limited by lack of a standardized approach to measurement and calculation, poor understanding of when in relation to surgery it is best measured, and whether risk-adjustment is needed. Our aim was to evaluate the value of POMR as a global surgery metric by addressing these issues using 4, large, mixed, surgical datasets that represent high-, middle-, and low-income countries.
METHODS: We obtained data from the New Zealand National Minimum Dataset, the Geelong Hospital patient management system in Australia, and purpose-built surgical databases in Pietermaritzburg, South Africa, and Port Moresby, Papua New Guinea. For each site, we calculated the POMR overall as well as for nonemergency and emergency admissions. We assessed the effect of admission episodes and procedures as the denominator and the difference between in-hospital POMR and POMR, including postdischarge deaths up to 30 days. To determine the need for risk-adjustment for age and admission urgency, we used univariate and multivariate logistic regression to assess the effect on relative POMR for each site.
RESULTS: A total of 1,362,635 patient admissions involving 1,514,242 procedures were included. More than 60% of admissions in Pietermaritzburg and Port Moresby were emergencies, compared with less than 30% in New Zealand and Geelong. Also, Pietermaritzburg and Port Moresby had much younger patient populations (P < .001). A total of 8,655 deaths were recorded within 30 days, and 8-20% of in-hospital deaths occurred on the same day as the first operation. In-hospital POMR ranged approximately 9-fold, from 0.38 per 100 admissions in New Zealand to 3.44 per 100 admissions in Pietermaritzburg. In New Zealand, in-hospital 30-day POMR underestimated total 30-day POMR by approximately one third. The difference in POMR if procedures were used instead of admission episodes ranged from 7 to 70%, although this difference was less when central line and pacemaker insertions were excluded. Age older than 65 years and emergency admission had large, independent effects on POMR but relatively little effect in multivariate analysis on the relative odds of in-hospital death at each site.
CONCLUSION: It is possible to collect POMR in countries at all level of development. Although age and admission urgency are strong, independent associations with POMR, a substantial amount of its variance is site-specific and may reflect the safety of operative and anesthetic facilities and processes. Risk-adjustment is desirable but not essential for monitoring system performance. POMR varies depending on the choice of denominator, and in-hospital deaths appear to underestimate 30-day mortality by up to one third. Standardized approaches to reporting and analysis will strengthen the validity of POMR as the principal indicator of the safety of surgery and anesthesia care.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25958067     DOI: 10.1016/j.surg.2015.03.024

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  16 in total

1.  Derivation, Validation and Application of a Pragmatic Risk Prediction Index for Benchmarking of Surgical Outcomes.

Authors:  Richard T Spence; David C Chang; Haytham M A Kaafarani; Eugenio Panieri; Geoffrey A Anderson; Matthew M Hutter
Journal:  World J Surg       Date:  2018-02       Impact factor: 3.352

2.  Measuring the Burden of Surgical Disease Averted by Emergency and Essential Surgical Care in a District Hospital in Papua New Guinea.

Authors:  Matthew A R Stokes; Glenn D Guest; Perista Mamadi; Westin Seta; Noel Yaubihi; Grace Karawiga; Billy Naidi; David A K Watters
Journal:  World J Surg       Date:  2017-03       Impact factor: 3.352

3.  An Online Tool for Global Benchmarking of Risk-Adjusted Surgical Outcomes.

Authors:  Richard T Spence; David C Chang; Kathryn Chu; Eugenio Panieri; Jessica L Mueller; Matthew M Hutter
Journal:  World J Surg       Date:  2017-01       Impact factor: 3.352

4.  How Much Data are Good Enough? Using Simulation to Determine the Reliability of Estimating POMR for Resource-Constrained Settings.

Authors:  Isobel H Marks; Zhi Ven Fong; Sahael M Stapleton; Ya-Ching Hung; Yanik J Bababekov; David C Chang
Journal:  World J Surg       Date:  2018-08       Impact factor: 3.352

5.  Data Improvement Through Simplification: Implications for Low-Resource Settings.

Authors:  Geoffrey A Anderson; Jordan Bohnen; Richard Spence; Lenka Ilcisin; Karim Ladha; David Chang
Journal:  World J Surg       Date:  2018-09       Impact factor: 3.352

6.  Monitoring Anesthesia Care Delivery and Perioperative Mortality in Kenya Utilizing a Provider-driven Novel Data Collection Tool.

Authors:  Bantayehu Sileshi; Mark W Newton; Joash Kiptanui; Matthew S Shotwell; Jonathan P Wanderer; Mary Mungai; Jon Scherdin; Paul A Harris; Sten H Vermund; Warren S Sandberg; Matthew D McEvoy
Journal:  Anesthesiology       Date:  2017-08       Impact factor: 7.892

7.  Challenges and Opportunities in the Provision of Surgical Care in Vanuatu: A Mixed Methods Analysis.

Authors:  S Young; W R G Perry; B Leodoro; V Nosa; I Bissett; J A Windsor; A J Dare
Journal:  World J Surg       Date:  2016-08       Impact factor: 3.352

8.  Assessment of Surgical Care Provided in National Health Services Hospitals in Mozambique: The Importance of Subnational Metrics in Global Surgery.

Authors:  Matchecane Cossa; John Rose; Allison E Berndtson; Emilia Noormahomed; Stephen W Bickler
Journal:  World J Surg       Date:  2021-01-31       Impact factor: 3.352

Review 9.  Collecting data for global surgical indicators: a collaborative approach in the Pacific Region.

Authors:  Glenn Douglas Guest; Elizabeth McLeod; William R G Perry; Vilami Tangi; Joao Pedro; Ponifasio Ponifasio; Johnny Hedson; Jemesa Tudravu; Douglas Pikacha; Eric Vreede; Basil Leodoro; Noah Tapaua; James Kong; Bwabwa Oten; Deacon Teapa; Stephanie Korin; Leona Wilson; Samson Mesol; Kabiri Tuneti; John G Meara; David A Watters
Journal:  BMJ Glob Health       Date:  2017-11-25

10.  Perioperative mortality rates in low-income and middle-income countries: a systematic review and meta-analysis.

Authors:  Joshua S Ng-Kamstra; Sumedha Arya; Sarah L M Greenberg; Meera Kotagal; Catherine Arsenault; David Ljungman; Rachel R Yorlets; Arnav Agarwal; Claudia Frankfurter; Anton Nikouline; Francis Yi Xing Lai; Charlotta L Palmqvist; Terence Fu; Tahrin Mahmood; Sneha Raju; Sristi Sharma; Isobel H Marks; Alexis Bowder; Lebei Pi; John G Meara; Mark G Shrime
Journal:  BMJ Glob Health       Date:  2018-06-22
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