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Incidence Rate and Financial Burden of Medical Errors and Policy Interventions to Address Them: A Multi-Method Study Protocol Publisher



Ahsaniestahbanati E1 ; Doshmangir L1, 2 ; Najafi B3 ; Akbari Sari A4 ; Sergeevich Gordeev V5, 6
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Authors Affiliations
  1. 1. Department of Health Policy & Management, Tabriz Health Services Management Research Center, Iranian Center of Excellence in Health Management, School of Management & Medical Informatics, Tabriz University of Medical Sciences, Daneshgah Street, Tabriz, 5166614711, Iran
  2. 2. Social Determinants of Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Department of Health Economics, School of Management & Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4. Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
  6. 6. Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom

Source: Health Services and Outcomes Research Methodology Published:2022


Abstract

Medical error is one of the most critical challenges facing medical services. They pose a substantial threat to patient safety, and their costs draw attention from policymakers, health care planners and researchers. We aim to make a realistic estimation of medical error incidence and related costs and identify factors influencing this incidence in Iranian hospitals. In the first phase of this multi-method study, through two reviews of systematic reviews and a meta-analysis, we will estimate the incidence of medical errors and the strategies to reduce them. We will extract available data among 41 hospitals supervised by the East Azerbaijan University in the second phase. We will also develop a model and use a Delphi method to predict medical errors incidence and calibrate our model output using the Monte Carlo simulation. We will compare this estimation with the incidence rate based on meta-analysis results from the first phase. In the third phase, we will investigate the relationship between several factors potentially influencing medical error incidence. In the fourth phase, we will estimate costs associated with medical errors by conducting a patient records review and matching those with claims related to medical errors. In the fifth phase, we will present a policy brief related to strategies for medical errors and associated costs reduction in Iran. Our findings could benefit Iranian and policymakers in other countries to reduce medical errors and associated costs. © 2021, The Author(s).
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