ISMP Medication Error Report Analysis.
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PROVIDER: S-EPMC3887594 | biostudies-other | 2014 Jan
REPOSITORIES: biostudies-other
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Project description:These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.
| S-EPMC3839430 | biostudies-other
Project description:These medication errors have occurred in health care facilities at least once. They will happen again-perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications.
| S-EPMC3839463 | biostudies-other
Project description:We present a teenage boy with recent onset of seizures, who was erroneously treated with a large dose of an antiseizure medication as a result of drug mix-up. The ensuing drug toxicity caused vertical gaze palsy, an unusual manifestation related to overdose of the agent. Timely recognition of the error and discontinuation of the drug resulted in complete recovery to baseline.
| S-EPMC5536819 | biostudies-other
Project description:ObjectiveTo conduct a systematic review and meta-analysis to assess: 1) changes in medication error rates and associated patient harm following electronic medication system (EMS) implementation; and 2) evidence of system-related medication errors facilitated by the use of an EMS.Materials and methodsWe searched Medline, Scopus, Embase, and CINAHL for studies published between January 2005 and March 2019, comparing medication errors rates with or without assessments of related harm (actual or potential) before and after EMS implementation. EMS was defined as a computer-based system enabling the prescribing, supply, and/or administration of medicines. Study quality was assessed.ResultsThere was substantial heterogeneity in outcomes of the 18 included studies. Only 2 were strong quality. Meta-analysis of 5 studies reporting change in actual harm post-EMS showed no reduced risk (RR: 1.22, 95% CI: 0.18-8.38, P = .8) and meta-analysis of 3 studies reporting change in administration errors found a significant reduction in error rates (RR: 0.77, 95% CI: 0.72-0.83, P = .004). Of 10 studies of prescribing error rates, 9 reported a reduction but variable denominators precluded meta-analysis. Twelve studies provided specific examples of system-related medication errors; 5 quantified their occurrence.Discussion and conclusionDespite the wide-scale adoption of EMS in hospitals around the world, the quality of evidence about their effectiveness in medication error and associated harm reduction is variable. Some confidence can be placed in the ability of systems to reduce prescribing error rates. However, much is still unknown about mechanisms which may be most effective in improving medication safety and design features which facilitate new error risks.
| S-EPMC7810459 | biostudies-literature
Project description:Classifying harm associated with a medication error can be time consuming and labour intensive and limited studies undertake this step. There is no standardised process, and few studies that report harm assessment provide adequate methods to allow for study replication. Studies typically mention that a clinical review panel classified patient harm and provide a reference to a classification tool. Moreover, in many studies it is unclear whether potential or actual harm was classified as studies refer only to 'error severity'. The tools used to categorise the severity of patient harm vary widely across studies and few have been assessed for inter-rater reliability and criterion validity. In this paper, we describe the systematic process we undertook to synthesise the defining elements and strengths, while mitigating the limitations, of existing harm classification tools to derive the Harm Associated with Medication Error Classification (HAMEC). This new tool provides a harm classification for use across clinical and research settings. The provision of an explicit process for its application and guiding category descriptors are designed to reduce the risk of misclassification and produce results that are comparable across studies. As the World Health Organisation embarks on its international safety challenge of reducing medication-related harm by 50%, accompanying methodological advances are required to measure progress.
| S-EPMC6647434 | biostudies-literature
Project description:BACKGROUND:Computerized physician order entry and clinical decision support systems are electronic prescribing strategies that are increasingly used to improve patient safety. Previous reviews show limited effect on patient outcomes. Our objective was to assess the impact of electronic prescribing strategies on medication errors and patient harm in hospitalized patients. METHODS:MEDLINE, EMBASE, CENTRAL, and CINAHL were searched from January 2007 to January 2018. We included prospective studies that compared hospital-based electronic prescribing strategies with control, and reported on medication error or patient harm. Data were abstracted by two reviewers and pooled using random effects model. Study quality was assessed using the Effective Practice and Organisation of Care and evidence quality was assessed using Grading of Recommendations Assessment, Development, and Evaluation. RESULTS:Thirty-eight studies were included; comprised of 11 randomized control trials and 27 non-randomized interventional studies. Electronic prescribing strategies reduced medication errors (RR 0.24 (95% CI 0.13, 0.46), I2 98%, n?=?11) and dosing errors (RR 0.17 (95% CI 0.08, 0.38), I2 96%, n?=?9), with both risk ratios significantly affected by advancing year of publication. There was a significant effect of electronic prescribing strategies on adverse drug events (ADEs) (RR 0.52 (95% CI 0.40, 0.68), I2 0%, n?=?2), but not on preventable ADEs (RR 0.55 (95% CI 0.30, 1.01), I2 78%, n?=?3), hypoglycemia (RR 1.03 (95% CI 0.62-1.70), I2 28%, n?=?7), length of stay (MD -?0.18 (95% -?1.42, 1.05), I2 94%, n?=?7), or mortality (RR 0.97 (95% CI 0.79, 1.19), I2 74%, n?=?9). The quality of evidence was rated very low. DISCUSSION:Electronic prescribing strategies decrease medication errors and adverse drug events, but had no effect on other patient outcomes. Conservative interpretations of these findings are supported by significant heterogeneity and the preponderance of low-quality studies.
| S-EPMC6816608 | biostudies-literature
Project description:IntroductionThe benchmarking for medication incidents rate is not regarded as a recognized key performance measure or indicator in national or international organizations. The absence of benchmarking the medication incidents results in the loss of a self-governing perception of how well we performed compared to other peers.Methodology and settingsThis 600-bed tertiary, Joint Commission International (JCI) accredited hospital retrospective analysis looked at all medication management-related events from January-2018 to December-2021. The study design follows descriptive, cross-sectional, retrospective prevalence research.ResultsThe rate of medication incidents that resulted in harm declined from Q3-2019 to Q4-2021. A significant increase in Pharmacy interventions/clarifications was recorded. Additionally, a significant increase in incidents reported with no-harm coupled with a significant reduction in incidences of serious events from 2019 to 2020. Finally, no-harm events were significantly reduced from 2020 to 2021.DiscussionThe Pharmacy's study analyzed every medication incident documented from 2019 to 2021. 99.7% of reported incidents were classified as no-harm (near misses). There was an exponential decrease from Q1-2020 to Q1-202. A significant increase in incidents fell in the category of (near misses) with no-harm and a significant reduction in serious events. Pharmacy interventions/clarifications saw a massive increase and impact from Q3-2018 to Q2-2019, compared to the same period in 2018. By preventing medical incidents, benchmarking, and analyzing incidents and the reporting system, the use of information technology could dramatically reduce the rate of drug incidents.ConclusionThis study found that benchmarking medication incidents is valuable, as it can help identify areas where improvements can be made, implement strategies to improve safety, and track progress over time. The benchmark was recommended to be below 100 incidents for every 10,000 prescriptions/orders processed, and for E-I categories, below one incident for every 10,000 prescriptions/orders processed. This will help develop a worldwide standard with an absolved culture with non-punitive consequences.
| S-EPMC10458364 | biostudies-literature
Project description:PurposeRefractive errors, particularly myopia, are common and a leading cause of blindness. This study aimed to explore associations between medications and refractive error in an aging adult cohort and to determine whether childhood-onset refractive errors predict future medication use to provide novel insights into disease mechanisms.MethodsThe study compared the spherical equivalent values measured in 102,318 UK Biobank participants taking the 960 most commonly used medications. The strengths of associations were evaluated against the self-reported age of spectacle wear. The causality of refractive error changes was inferred using sensitivity and Mendelian randomization analyses.ResultsAnti-glaucoma drugs were associated with 1 to 2 diopters greater myopic refraction, particularly in subjects who started wearing correction in the first two decades of life, potentially due to the association of higher intraocular pressure since early years with both myopia and, later in life, glaucoma. All classes of pain-control medications, including paracetamol, opiates, non-steroidal antiinflammatory drugs, and gabapentinoids, were associated with greater hyperopia (+0.68-1.15 diopters), after correction for deprivation, education, and polypharmacy and sensitivity analyses for common diagnoses. Oral hypoglycemics (metformin, gliburonide) were associated with myopia, as was allopurinol, and participants using bronchodilators (ipratropium and salbutamol) were more hyperopic.ConclusionsThis study finds for the first time, to our knowledge, that medication use is associated with refractive error in adults. The novel finding that analgesics are associated with hyperopic refraction, and the possibility that multisite chronic pain predisposes to hyperopia, deserves further research. Some drugs, such as antihyperglycemic or bronchodilators, may directly alter refractive error. Intraocular pressure appears causative for myopia.
| S-EPMC7900881 | biostudies-literature
Project description:A focus group study was conducted to explore nurses' perceptions of medication administration error associated factors in two medical wards of a tertiary hospital. Nurses were invited to participate in focus group discussions. Thematic analysis was employed and identified four themes: professional practice environment related factors, person-related factors, drug-related factors, and processes and procedures. Staffing, interruptions, system failures, insufficient leadership, and patient acuity were perceived as risk factors for medication errors. The findings of this study complement the findings of an observational study which investigated medication administration errors in the same setting. Although some findings were similar, important risk factors were identified only through focus group discussions with nurses. Nurses' perceptions of factors influencing medication administration errors provide important considerations in addressing factors that contribute to errors and for improving patient safety.
| S-EPMC9243474 | biostudies-literature
Project description:BackgroundA medication error (ME) is any preventable event that may cause or lead to inappropriate medication use or patient harm. Voluntary reporting has a principal role in appreciating the extent and impact of medication errors. Thus, exploration of the proportion of medication error reporting and associated factors among nurses is important to inform service providers and program implementers so as to improve the quality of the healthcare services.MethodsInstitution based quantitative cross-sectional study was conducted among 397 nurses from March 6 to May 10, 2015. Stratified sampling followed by simple random sampling technique was used to select the study participants. The data were collected using structured self-administered questionnaire which was adopted from studies conducted in Australia and Jordan. A pilot study was carried out to validate the questionnaire before data collection for this study. Bivariate and multivariate logistic regression models were fitted to identify factors associated with the proportion of medication error reporting among nurses. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance.ResultThe proportion of medication error reporting among nurses was found to be 57.4%. Regression analysis showed that sex, marital status, having made a medication error and medication error experience were significantly associated with medication error reporting.ConclusionThe proportion of medication error reporting among nurses in this study was found to be higher than other studies.
| S-EPMC5848571 | biostudies-literature