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      Global Incidence and Mortality Trends due to Adverse Effects of Medical Treatment, 1990–2017: A Systematic Analysis from the Global Burden of Diseases, Injuries and Risk Factors Study

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          Abstract

          Aim

          To quantify the global incidence and mortality of adverse effects of medical treatment (AEMT) and forecast the possible emerging trends of AEMT.

          Materials and methods

          We analyzed the latest data from the Global Burden of Disease (GBD) 2017 study. We describe the burden of AEMT based on age- and region-specific incidence and mortality rates between 1990 and 2017. Additionally, we evaluated the change of burden due to AEMT by different periods between 1990 and 2017, and compared the age-standardized incidence and mortality rates among different World Health Organization (WHO) regions.

          Results

          Globally, AEMT incidence rates varied across WHO regions and countries. The estimated age-standardized average incidence rates of AEMT were 309 [95% uncertainty interval (UI), 270 to 351], 340 (298 to 384), 401 (348 to 458), and 439 (376 to 505) per 100,000 population across the world in 1990, 2000, 2010, and 2017, respectively, showing an increasing trend in the new occurrence of adverse events. The incidence rate among women (469/100,000) was higher compared to men (409/100,000) in 2017. Between 1990 and 2017, we observed an upward trend in the incidence rates of AEMT across global regions, with a substantial increase in the incidence by 42% (27 to 57) between the years 1990 and 2017, translated to an annualized rate of incline of 1.5%. In the age group of 60-64 years, the incidence rates increased by 96% in 2017 compared to 1990. The global incidence rate due to AEMT is forecasted to increase to 446.94 (433.65 to 460.22) by 2020, 478.49 (376.88 to 580.09) in 2030, and to reach 510.03 (276.58 to 743.49) per 100,000 by 2040. We observed a decline in mortality rates due to AEMT across global regions, and the annualized rate of mortality change was -0.90 percentage points between 1990 and 2017. Overall, the AEMT mortality rate was higher in men (1.73/100,000) than in women (1.48/100,000), and age-specific mortality rates showed a bimodal increase between the age group of birth to one year, and an increase in the age group of 65 years and above. The global mortality rate due to AEMT is expected to be 1.55 (1.48 to 1.61) in 2020, 1.37 (0.88 to 1.86 ) in 2030 and 1.2 deaths per 100,000 (0.08 to 2.32) by 2040.

          Conclusion

          Using the GBD 2017 study data, we found an increase in the incidence of AEMT, and an overall decrease in the mortality rate between 1990 and 2017, with varying estimates between different countries and regions, gender and age groups. The forecast analysis displayed the same trends - an increase in AEMT incidence and a decline in mortality between 2020 and 2040. The high burden of AEMT warrants the implementation of robust policies in the healthcare system including appropriate patient safety training for the healthcare professionals, and safe culture of feedback with the implementation of electronic medical records to achieve WHO patient safety strategy goals.

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          Most cited references16

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          GBD 2010: design, definitions, and metrics.

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            Medication errors and adverse drug events in pediatric inpatients.

            Iatrogenic injuries, including medication errors, are an important problem in all hospitalized populations. However, few epidemiological data are available regarding medication errors in the pediatric inpatient setting. To assess the rates of medication errors, adverse drug events (ADEs), and potential ADEs; to compare pediatric rates with previously reported adult rates; to analyze the major types of errors; and to evaluate the potential impact of prevention strategies. Prospective cohort study of 1120 patients admitted to 2 academic institutions during 6 weeks in April and May of 1999. Medication errors, potential ADEs, and ADEs were identified by clinical staff reports and review of medication order sheets, medication administration records, and patient charts. We reviewed 10 778 medication orders and found 616 medication errors (5.7%), 115 potential ADEs (1.1%), and 26 ADEs (0.24%). Of the 26 ADEs, 5 (19%) were preventable. While the preventable ADE rate was similar to that of a previous adult hospital study, the potential ADE rate was 3 times higher. The rate of potential ADEs was significantly higher in neonates in the neonatal intensive care unit. Most potential ADEs occurred at the stage of drug ordering (79%) and involved incorrect dosing (34%), anti-infective drugs (28%), and intravenous medications (54%). Physician reviewers judged that computerized physician order entry could potentially have prevented 93% and ward-based clinical pharmacists 94% of potential ADEs. Medication errors are common in pediatric inpatient settings, and further efforts are needed to reduce them.
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              The impact of artificial intelligence in medicine on the future role of the physician

              The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. These suggestions raise the question of whether AI-based systems will eventually replace physicians in some specializations or will augment the role of physicians without actually replacing them. To assess the impact on physicians this research seeks to better understand this technology and how it is transforming medicine. To that end this paper researches the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology. It concludes that AI-based systems will augment physicians and are unlikely to replace the traditional physician–patient relationship.
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                Author and article information

                Journal
                Cureus
                Cureus
                2168-8184
                Cureus
                Cureus (Palo Alto (CA) )
                2168-8184
                14 March 2020
                March 2020
                : 12
                : 3
                : e7265
                Affiliations
                [1 ] Epidemiology and Public Health, Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE
                [2 ] Family Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE
                [3 ] Family Medicine, United Arab Emirates University, Al Ain, ARE
                [4 ] Family Medicine, Ambulatory Health Care Services, Al Ain, ARE
                [5 ] Pharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE
                [6 ] Family Medicine, Parchmore Medical Centre, London, GBR
                [7 ] Psychiatry and Behavioral Science, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE
                Author notes
                Article
                10.7759/cureus.7265
                7075477
                32195071
                591f0654-ecad-469c-9306-457224afb714
                Copyright © 2020, Nauman et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 February 2020
                : 14 March 2020
                Categories
                Preventive Medicine
                Quality Improvement
                Epidemiology/Public Health

                medical errors,adverse events,patient safety,global burden,complication of treatment,health policy,health care system,global health,side effects of medical treatment,public health

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