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Predictors of Adverse Events and Medical Errors Among Adult Inpatients of Psychiatric Units of Acute Care General Hospitals.

ABSTRACT: OBJECTIVE:The aim of this study was to identify factors associated with the occurrence of adverse events (AEs) or medical errors (MEs) during inpatient psychiatric hospitalizations. METHODS:A full-probability random sample of 4,371 charts from 14 inpatient psychiatric units at acute care general hospitals in Pennsylvania were reviewed in a two-stage process that comprised screening and flagging by nurses followed by review by psychiatrists. AE and ME rates were calculated overall and then stratified by patient and hospital factors. Unadjusted and adjusted logistic regression models examined predictors of AEs and MEs. RESULTS:An AE was identified in 14.5% of hospitalizations (95% confidence interval [CI]=11.7-17.9), and an ME was identified in 9.0% (CI=7.5-11.0). In adjusted analyses, patients with a longer length of stay and older patients had higher odds of experiencing an AE or an ME. Patients ages 31-42 (compared with ages 18-30), with commercial insurance (compared with Medicare or Medicaid or uninsured), or treated at high-volume hospitals (compared with low, medium, or very high) had lower odds of an AE. Patients age 54 or older (compared with ages 18-30), admitted during the weekend, admitted to rural hospitals (compared with urban), or treated at very-high-volume hospitals (compared with high) were more likely to experience an ME. CONCLUSIONS:This study provides insight into factors that put patients and hospitals at increased risk of patient safety events. This information can be used to tailor improvement strategies that enhance the safety of patients treated on general hospital psychiatric units.

SUBMITTER: Vermeulen JM

PROVIDER: S-EPMC6697121 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Predictors of Adverse Events and Medical Errors Among Adult Inpatients of Psychiatric Units of Acute Care General Hospitals.

Vermeulen Jentien M JM Doedens Paul P Cullen Sara W SW van Tricht Mirjam J MJ Hermann Richard R Frankel Martin M de Haan Lieuwe L Marcus Steven C SC

Psychiatric services (Washington, D.C.) 20180803 10

<h4>Objective</h4>The aim of this study was to identify factors associated with the occurrence of adverse events (AEs) or medical errors (MEs) during inpatient psychiatric hospitalizations.<h4>Methods</h4>A full-probability random sample of 4,371 charts from 14 inpatient psychiatric units at acute care general hospitals in Pennsylvania were reviewed in a two-stage process that comprised screening and flagging by nurses followed by review by psychiatrists. AE and ME rates were calculated overall ...[more]

PMID: 30071794

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Project description:BackgroundMedication errors and adverse drug events are universal problems contributing to patient harm but the magnitude of these problems in Africa remains unclear.ObjectiveThe objective of this study was to systematically investigate the literature on the extent of medication errors and adverse drug events, and the factors contributing to medication errors in African hospitals.MethodsWe searched PubMed, MEDLINE, EMBASE, Web of Science and Global Health databases from inception to 31 August, 2017 and hand searched the reference lists of included studies. Original research studies of any design published in English that investigated adverse drug events and/or medication errors in any patient population in the hospital setting in Africa were included. Descriptive statistics including median and interquartile range were presented.ResultsFifty-one studies were included; of these, 33 focused on medication errors, 15 on adverse drug events, and three studies focused on medication errors and adverse drug events. These studies were conducted in nine (of the 54) African countries. In any patient population, the median (interquartile range) percentage of patients reported to have experienced any suspected adverse drug event at hospital admission was 8.4% (4.5-20.1%), while adverse drug events causing admission were reported in 2.8% (0.7-6.4%) of patients but it was reported that a median of 43.5% (20.0-47.0%) of the adverse drug events were deemed preventable. Similarly, the median mortality rate attributed to adverse drug events was reported to be 0.1% (interquartile range 0.0-0.3%). The most commonly reported types of medication errors were prescribing errors, occurring in a median of 57.4% (interquartile range 22.8-72.8%) of all prescriptions and a median of 15.5% (interquartile range 7.5-50.6%) of the prescriptions evaluated had dosing problems. Major contributing factors for medication errors reported in these studies were individual practitioner factors (e.g. fatigue and inadequate knowledge/training) and environmental factors, such as workplace distraction and high workload.ConclusionMedication errors in the African healthcare setting are relatively common, and the impact of adverse drug events is substantial but many are preventable. This review supports the design and implementation of preventative strategies targeting the most likely contributing factors.

Project description:BackgroundA recent randomized controlled trial in critical-care units revealed that the elimination of extended-duration work shifts (> or =24 h) reduces the rates of significant medical errors and polysomnographically recorded attentional failures. This raised the concern that the extended-duration shifts commonly worked by interns may contribute to the risk of medical errors being made, and perhaps to the risk of adverse events more generally. Our current study assessed whether extended-duration shifts worked by interns are associated with significant medical errors, adverse events, and attentional failures in a diverse population of interns across the United States.Methods and findingsWe conducted a Web-based survey, across the United States, in which 2,737 residents in their first postgraduate year (interns) completed 17,003 monthly reports. The association between the number of extended-duration shifts worked in the month and the reporting of significant medical errors, preventable adverse events, and attentional failures was assessed using a case-crossover analysis in which each intern acted as his/her own control. Compared to months in which no extended-duration shifts were worked, during months in which between one and four extended-duration shifts and five or more extended-duration shifts were worked, the odds ratios of reporting at least one fatigue-related significant medical error were 3.5 (95% confidence interval [CI], 3.3-3.7) and 7.5 (95% CI, 7.2-7.8), respectively. The respective odds ratios for fatigue-related preventable adverse events, 8.7 (95% CI, 3.4-22) and 7.0 (95% CI, 4.3-11), were also increased. Interns working five or more extended-duration shifts per month reported more attentional failures during lectures, rounds, and clinical activities, including surgery and reported 300% more fatigue-related preventable adverse events resulting in a fatality.ConclusionsIn our survey, extended-duration work shifts were associated with an increased risk of significant medical errors, adverse events, and attentional failures in interns across the United States. These results have important public policy implications for postgraduate medical education.

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Dataset Information

Predictors of Adverse Events and Medical Errors Among Adult Inpatients of Psychiatric Units of Acute Care General Hospitals.

Publications

Predictors of Adverse Events and Medical Errors Among Adult Inpatients of Psychiatric Units of Acute Care General Hospitals.

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