Effectiveness of a Mobile App (Meds@HOME) to Improve Medication Safety for Children With Medical Complexity: Protocol for a Randomized Controlled Trial.

BACKGROUND: This study will pilot-test the mobile app, Medication Safety @HOME-Meds@HOME intervention to improve medication administration accuracy, reduce preventable adverse drug events, and ultimately improve chronic care management for children with medical complexity (CMC). The Meds@HOME app was co-designed with CMC families, secondary caregivers (SCGs), and health professionals to support medication management for primary caregivers (PCGs) and SCGs of CMC. We hypothesize that Meds@HOME will improve caregivers' medication administration accuracy, reduce preventable adverse drug events, and ultimately improve chronic care management. OBJECTIVE: This study aims to evaluate the effectiveness of Meds@HOME on medication administration accuracy for PCGs and SCGs. METHODS: This study will recruit up to 152 PCGs and 304 SCGs of CMC who are prescribed at least 1 scheduled high-risk medication and receive care at the University of Wisconsin American Family Children's Hospital. PCGs will be randomly assigned, for the 6-month trial, to either the control group (not trialing Meds@HOME) or the intervention group (trialing Meds@HOME) using 1:1 ratio. The Meds@HOME app allows caregivers to create a child profile, store medication and care instructions, and receive reminders for upcoming and overdue care routines and medication refills. Surveys completed both at the start and end of the trial measure demographics, medication delivery knowledge, confidence in the CMC's caregiving network, and comfort with medical information. Univariate and multivariate generalized estimation equations will be used for primary statistical analysis. The primary outcome is the PCG's rate of medication administration accuracy measured as correct identification of each of the following for a randomly selected high-risk medication: indication, formulation, dose, frequency, and route at baseline and after 6 months. Secondary outcomes include SCG medication administration accuracy (indication, formulation, dose, frequency, and route), count of University of Wisconsin hospital and emergency department encounters, PCG-reported medication adherence, count of deaths, and PCG medication confidence and understanding. RESULTS: Recruitment for this study began on November 29, 2023. As of May 15, 2024, we have enrolled 94/152 (62%) PCGs. We expect recruitment to end by August 1, 2024, and the final participant will complete the study by January 28, 2025, at which point we will start analyzing the complete responses. We expect publication of results at the end of 2025. CONCLUSIONS: The Meds@HOME mobile app provides a promising strategy for improving PCG medication safety for CMC who take high-risk medications. In addition, this protocol highlights novel procedures for recruiting SCGs of CMC. In the future, this app could be used more broadly across diverse caregiving networks to navigate complex medication routines and promote medication safety. TRIAL REGISTRATION: ClinicalTrials.gov NCT05816590; https://clinicaltrials.gov/study/NCT05816590. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60621.

Investigating risk factors for medication errors during perioperative care: A retrospective cohort study.

Medication errors during perioperative care significantly compromise patient safety and the quality of outcomes. It is crucial to identify and understand the factors that contribute to these errors to develop effective, targeted interventions. This study aims to explore the risk factors associated with medication errors during perioperative care in a tertiary hospital setting, focusing on patient demographics, medication types, administration routes, and nursing care characteristics. A retrospective cohort study was conducted, encompassing adult patients who underwent surgical procedures from January 2020 to January 2023. Data on medication administration, patient demographics, and surgical details were extracted from electronic health records. Medication errors were classified based on the harm caused to the patients. Logistic regression analyses were employed to identify significant risk factors. The study included 1723 patients, with a balanced gender distribution. The median patient age was 53 years. Medication errors were significantly associated with patient age, the type of medication administered, and specific administration routes. Higher education levels and advanced professional titles among nursing staff were inversely related to the occurrence of medication errors. The presence of a dedicated anesthesia nurse significantly reduced the likelihood of errors. Patient age, medication type, administration route, nursing education level, and the involvement of specialized anesthesia nurses emerged as significant factors influencing the risk of medication errors in perioperative care. These findings underscore the need for targeted educational and procedural interventions to mitigate such errors, enhancing patient safety in surgical settings.

Educational preparedness and perceived importance on confidence in new graduate registered nurses' medication administration.

BACKGROUND: Medication errors are the most common type of error affecting patient safety and the most preventable cause of adverse medical events globally. Medication errors occur most frequently (33.3 %) during the administration phase. New nurses felt their education left them vulnerable to errors, suggesting that current curricula may be insufficient. PURPOSE: The purpose of this study was to determine the relationship between new nurses' educational preparedness and perceived importance with confidence in medication administration. A secondary aim was to determine the difference in the variables based on demographic information. METHODS: A descriptive, correlational design was employed using the Theory of Human Error. Ohio newly licensed nurses were surveyed for their educational preparedness, perceived importance, and confidence in nine medication competencies. Descriptive and inferential statistics were used. RESULTS: N = 201. A significant, positive relationship was found between both educational preparedness and confidence, and perceived importance and confidence. Nurses reported high levels of educational preparedness, perceived importance, and confidence. All correlations and regressions were significant, indicating that as nurse educational preparedness and/or perceived importance increases, the odds of confidence increases. Demographic analysis demonstrated that practice area and years of experience significantly contributed to differences in the variables. CONCLUSIONS: Understanding the educational preparedness and perceived importance of the medication competencies can help guide future research into creating educational and clinical interventions to ultimately decrease medication errors.

Perceptions on Medication Administration Errors (MAEs) among nurses at a tertiary government hospital.

AIM: To identify the nurses' perceptions on the occurrence of Medication Administration Errors (MAEs) and barriers to reporting using the MAE Reporting Survey. BACKGROUND: MAEs is a serious public health threat that causes patient injury, death, and results to expensive health care. METHODS: Descriptive statistical analysis. RESULTS: The most frequent reasons for MAEs according to the nurses were physicians' medication orders are not legible (4.67 ± 1.21) and unit staffing levels are inadequate (4.63 ± 1.45). The most frequent reason for unreported MAEs were when med errors occur, nursing administration focuses on the individual rather than looking at the systems as a potential cause of the error (4.95 ± 4.33) and nurses could be blamed if something happens to the patient as a result of the medication error (4.29 ± 1.48). The highest prevalent non-IV related MAEs included wrong time of administration (M = 3.02 ± 2.37) and medication administered after the order to discontinue has been written (M = 2.60 ± 2.11), both with 0-20 % of reported non-IV MAEs. The highest prevalent IV related MAEs included wrong time of administration (M = 2.76 ± 2.29) and medication administered after the order to discontinue has been written (M = 2.45 ± 2.01). More than half (n = 95, % = 54.29) of the respondents stated that 0-20 % of all types of medication errors, including IV and non-IV medication errors are reported. CONCLUSIONS: The findings supported the notion that nurses perceive low percentages of MAEs reporting.

Application of the bow-tie analysis to improve patient safety - a lesson learned from clinical practice.

AIM: This study aimed to assess the risk management of drug safety in an operating theater setting within a hospital-based treatment facility.

Electronic Prescribing by Medical Students: Descriptive Data and Inferred Clinical Impact.

We analysed data from the electronic medication chart at tertiary healthcare facilities during Nov 2020-Nov 2023 following a reconfiguration of prescribing permissions allowing medical student inpatient prescribing. A total of 262 students prescribed for 2205 patients. The 17,769 prescriptions were spread throughout the 7-day week and were mainly created in the evening (1600-2100) and within 4 hours of patient entry into hospital. The supervising doctors approved 11,434 (64%) prescriptions, which are inferred to have saved 203 hours of doctor time. Allowing medical students to prescribe facilitates clinical workflow. The impact on student education and prescribing errors requires further work.

Opioid Dosing Deviation and Dose Banding Development in Young Hospitalized Children.

BACKGROUND AND OBJECTIVES: Individualized, weight-based opioid dosing poses safety risks and contributes to inefficient medication delivery processes. Dose banding is a patient safety strategy to reduce dosing errors through standardized doses based on weight ranges. Study objectives were (1) determine the frequency of dosing deviation from reference ranges of common intravenous (IV) and oral opioid medications, (2) evaluate the differences in dosing deviations by age, and (3) determine the potential reduction in dose variation that could be achieved by dose banding. METHODS: We conducted a cross-sectional analysis of hospitalized children ≥2 months to ≤24 months old who received IV morphine, oral methadone, or oral oxycodone at a single center. Dosing was categorized as no dosing deviation (within ±5% of the reference range), negative dosing deviation (>5% below the reference range), or positive dosing deviation (>5% above the reference range). Descriptive and bivariate analyses were conducted. RESULTS: A total of 3361 opioid doses met the inclusion criteria. A total of 2663 (79.2%) had no dosing deviation, 214 (6.3%) demonstrated negative deviations, and 484 (14.4%) demonstrated positive deviations. Dosing deviations were more frequent among subjects ≥2 months to ≤6 months old for oral methadone and oxycodone (P < .0001) and more frequent among older age group for IV morphine (P < .0001). Dose banding has the potential to reduce the number of unique doses prescribed for all medications by 75% while eliminating unintended dosing deviations. CONCLUSIONS: A total of 20% of opioid doses prescribed to children ≤24 months of age are outside the recommended ranges. Dose banding represents a promising method for simplifying opioid prescribing in the pediatric inpatient setting.

Evaluating EHR-Integrated Digital Technologies for Medication-Related Outcomes and Health Equity in Hospitalised Adults: A Scoping Review.

The purpose of this scoping review is to identify and evaluate studies that examine the effectiveness and implementation strategies of Electronic Health Record (EHR)-integrated digital technologies aimed at improving medication-related outcomes and promoting health equity among hospitalised adults. Using the Consolidated Framework for Implementation Research (CFIR), the implementation methods and outcomes of the studies were evaluated, as was the assessment of methodological quality and risk of bias. Searches through Medline, Embase, Web of Science, and CINAHL Plus yielded 23 relevant studies from 1,232 abstracts, spanning 11 countries and from 2008 to 2022, with varied research designs. Integrated digital tools such as alert systems, clinical decision support systems, predictive analytics, risk assessment, and real-time screening and surveillance within EHRs demonstrated potential in reducing medication errors, adverse events, and inappropriate medication use, particularly in older patients. Challenges include alert fatigue, clinician acceptance, workflow integration, cost, data integrity, interoperability, and the potential for algorithmic bias, with a call for long-term and ongoing monitoring of patient safety and health equity outcomes. This review, guided by the CFIR framework, highlights the importance of designing health technology based on evidence and user-centred practices. Quality assessments identified eligibility and representativeness issues that affected the reliability and generalisability of the findings. This review also highlights a critical research gap on whether EHR-integrated digital tools can address or worsen health inequities among hospitalised patients. Recognising the growing role of Artificial Intelligence (AI) and Machine Learning (ML), this review calls for further research on its influence on medication management and health equity through integration of EHR and digital technology.

High prevalence of medication errors in a secondary-level Lithuanian hospital: A prospective cross-sectional observational study.

As the population continues to age, the occurrence of chronic illnesses and comorbidities that often necessitate the use of polypharmacy has been on the rise. Polypharmacy, among other factors that tend to coincide with chronic diseases, such as obesity, impaired kidney and liver function, and older age, can increase the risk of medication errors (MEs). Our study aims to evaluate the prevalence of MEs in the Internal medicine, Cardiology, and Neurology departments at the secondary-level university hospital. We conducted a prospective observational study of 145 patients' electronic or paper-based data of inpatient prescriptions and patients' pharmacokinetic risk factors, such as an impairment of renal and/or hepatic function, weight, and age. All included patients collectively received 1252 prescribed drugs. The median (Q1; Q3) number of drugs per patient was 8 (7;10). At least one ME was identified in 133 out of the 145 patients, indicating a significantly higher prevalence than hypothesized (91.7% vs. 50%; p < .001). There was moderate, positive correlation between the quantity of prescribed drugs and the number of MEs, meaning that the more drugs are prescribed, the higher the number of identified MEs (Spearman's ρ = 0.428; p < .001). These findings suggest that there is a need for continuous medication education activity for prescribing physicians, continuous evaluation of prescription appropriateness to objectively identify the MEs and to contribute to more rational patient treatment.

The potential for drug incompatibility and its drivers - A hospital wide retrospective descriptive study.

OBJECTIVE: Drug incompatibility, a significant subset of medication errors, threaten patient safety during the medication administration phase. Despite the undeniably high prevalence of drug incompatibility, it is currently poorly understood because previous studies are focused predominantly on intensive care unit (ICU) settings. To enhance patient safety, it is crucial to expand our understanding of this issue from a comprehensive viewpoint. This study aims to investigate the prevalence and mechanism of drug incompatibility by analysing hospital-wide prescription and administration data. METHODS: This retrospective cross-sectional study, conducted at a tertiary academic hospital, included data extracted from the clinical data warehouse of the study institution on patients admitted between January 1, 2021, and May 31, 2021. Potential contacts in drug pairs (PCs) were identified using the study site clinical workflow. Drug incompatibility for each PC was determined by using a commercial drug incompatibility database, the Trissel's™ 2 Clinical Pharmaceutics Database (Trissel's 2 database). Drivers of drug incompatibility were identified, based on a descriptive analysis, after which, multivariate logistic regression was conducted to assess the risk factors for experiencing one or more drug incompatibilities during admission. RESULTS: Among 30,359 patients (representing 40,061 hospitalisations), 24,270 patients (32,912 hospitalisations) with 764,501 drug prescriptions (1,001,685 IV administrations) were analysed, after checking for eligibility. Based on the rule for determining PCs, 5,813,794 cases of PCs were identified. Among these, 25,108 (0.4 %) cases were incompatible PCs: 391 (1.6 %) PCs occurred during the prescription process and 24,717 (98.4 %) PCs during the administration process. By classifying these results, we identified the following drivers contributing to drug incompatibility: incorrect order factor; incorrect administration factor; and lack of related research. In multivariate analysis, the risk of encountering incompatible PCs was higher for patients who were male, older, with longer lengths of stay, with higher comorbidity, and admitted to medical ICUs. CONCLUSIONS: We comprehensively described the current state of drug incompatibility by analysing hospital-wide drug prescription and administration data. The results showed that drug incompatibility frequently occurs in clinical settings.

Perceptions of undergraduate nursing students regarding their competency in administering medications: A qualitative study.

AIM: This study aims to explore and describe self-reported perceptions of nursing students' competence in the administration of medication. BACKGROUND: Medication errors are a significant concern in hospitals, as they can result in serious harm and even death for patients. Nursing students play a crucial role in administering medication and preventing errors, but they are also prone to making mistakes. While numerous studies have extensively examined the factors that contribute to medication errors, few have focused on the assessment of competency among nursing students. DESIGN: This study employed a qualitative exploratory and descriptive design. METHODS: A total of 10 undergraduate nursing students at a higher education institution consented to participate in face-to-face, semi-structured individual interviews. Data were collected between August and September 2022 using an interview guide. The interviews were audio recorded and analysed using Braun and Clarke's six steps of thematic analysis. RESULTS: The study revealed two major themes: (1) 'Perceived barriers to competency', which include participants' concerns regarding making errors, knowledge in pharmacology, self-efficacy in mathematics and level of supervision; and (2) 'Mechanisms for improvement', which centre on enhancing simulation proficiency, improving supervision and integrating pharmacology education in year two of nursing training. CONCLUSION: The study findings suggest that student nurses face various barriers to competence, such as a fear of making mistakes, a lack of pharmacology knowledge and low self-confidence in calculating drug dosages. To address these issues, prioritising supervision is crucial to facilitate student learning and ensure safety. Future research should consider investigating the perspectives of nurse educators on pharmacology curricula.

Analyzing the Impact of Drug Name Similarity on Dispensing Errors: An Examination Using a Drug Name Similarity Index.

Dispensing errors pose a significant health risk, with drug name similarity being a potential contributory factor. To determine the impact of drug name similarity on dispensing errors within clinical settings, we analyzed 563 dispensing errors at an acute hospital in Japan from April 2015 to June 2018. Drug name similarity between two drugs was classified into Name-Similar and Name-Dissimilar groups using the m2-vwhtfrag index, the value of the drug name similarity. Drug efficacy similarity was categorized into Efficacy-Same, Efficacy-Close, and Efficacy-Far. The drug name similarity and drug efficacy similarity of all possible pair combinations were obtained and similarly classified. The proportion of the number of pairs with dispensing errors per the total number of drug pairs in the hospital's drug formulary in each category was calculated. The highest proportion of the number of pairs with dispensing errors was 36% for the Efficacy-Same and Name-Similar group, and the lowest proportion was 0.022% for the Efficacy-Far and Name-Dissimilar group. The proportion of the number of pairs with dispensing errors was significantly higher in the Name-Similar category than in the Name-Dissimilar category for all drug efficacy categories. Our results indicate that drug name similarity increases the risk of dispensing errors, and that m2-vwhtfrag is a useful indicator to assess dispensing errors in clinical practice. Such drug name and efficacy similarity evaluations can help identify factors causing dispensing errors, and predict the risk of dispensing errors for newly adopted drugs, considering the relationship with the whole drug formulary in the hospital dispensary.

How to get over with medication errors underestimation? Improving indices of medication errors with focus on intravenous medications in hematopoietic stem cell transplantation setting; a direct observation study.

BACKGROUND: The administration of intravenous (IV) medications is a technically complicated and error-prone process. Especially, in the hematopoietic stem cell transplantation (HSCT) setting where toxic drugs are frequently used and patients are in critical immunocompromised conditions, medication errors (ME) can have catastrophic reactions and devastating outcomes such as death. Studies on ME are challenging due to poor methodological approaches and complicated interpretations. Here, we tried to resolve this problem using reliable methods and by defining new denominators, as a crucial part of an epidemiological approach. METHODS: This was an observational, cross-sectional study. A total of 525 episodes of IV medication administration were reviewed by a pharmacist using the disguised direct observation method to evaluate the preparation and administration processes of 32 IV medications in three HSCT wards. We reported errors in 3 ratios; 1) Total Opportunities for Error (TOE; the number of errors/sum of all administered doses observed plus omitted medications), 2) Proportional Error Ratio (the number of errors for each drug or situation/total number of detected errors) and, 3) Corrected Total Opportunities for Errors (CTOE; the number of errors/ Sum of Potential Errors (SPE)). RESULTS: A total of 1,568 errors were observed out of 5,347 total potential errors. TOE was calculated as 2.98 or 298% and CTOE as 29.3%. Most of the errors occurred at the administration step. The most common potential errors were the use of an incorrect volume of the reconstitution solvent during medication preparation and lack of monitoring in the administration stage. CONCLUSION: Medication errors frequently occur during the preparation and administration of IV medications in the HSCT setting. Using precise detection methods, denominators, and checklists, we identified the most error-prone steps during this process, for which there is an urgent need to implement effective preventive measures. Our findings can help plan targeted preventive measures and investigate their effectiveness, specifically in HSCT settings.

A Case-Study of Metoclopramide Prescription Error : A Grim Reminder.

The integration of Computerized Provider Order Entry (CPOE) systems in hospitals has been instrumental in reducing medication errors and enhancing patient safety. This study examines the implications of a software oversight in a CPOE system : Metoclopramide had a concentrated formulation (100 mg) delisted (and then not manufactured) in 2014 due to safety concerns. Despite this, the CPOE system continued to accept prescriptions for this formulation because it was not removed from the medication library by the pharmacist. The objective of our study was to describe this specific prescription error related to an outdated the medication library of the CPOE. We analyzed all metoclopramide prescriptions from 2014, to 2023. Our findings showed that errors involving 100 mg or more dosages were relatively rare, at 2.98 per 1000 prescriptions (34 errors in 11,372 prescriptions). Notably, 47.1% of these errors occurred during on-call shifts, and 68% of these errors led to actual administration. These errors correlated with periods of higher nurse workload. The findings advocate for the integration of dedicated pharmacists into ICU teams to minimize medication errors and enhance patient outcomes, and a proactive medication management in healthcare.

Preventing Prescribing Cascades: Ensuring Medication Safety for Older Adults.

PURPOSE: To define prescribing cascades (PCs) and provide tools to identify PCs, including the most common PCs described in the literature. PCs lead to the accumulation of medications prescribed to older adults, disproportionately affecting those who often have additional health care complexities, such as multiple chronic conditions and multiple transitions of care. METHOD: Review of recent research efforts to identify and describe evolving clinical practice interventions to detect and reverse PCs. RESULTS: Clinicians can contribute to mitigating PCs through better understanding of how PCs occur in practice. Armed with this knowledge, clinical team members can implement proposed strategies and techniques to engage in primary and secondary prevention of PCs. CONCLUSION: Ultimately, PCs are a culprit of preventable medication harm. Several tools are presented, which are initiated through maintaining a high index of suspicion for PCs in the evaluation of a new symptom presentation by older patients. [Journal of Gerontological Nursing, 50(9), 7-11.].

Drug administration errors among anaesthesia providers in South Africa: a cross-sectional descriptive study.

BACKGROUND: Drug administration errors (DAEs) in anaesthesia are common, the aetiology multifactorial and though mostly inconsequential, some lead to substantial harm. The extend of DAEs remain poorly quantified and effective implementation of prevention strategies sparse. METHOD: A cross-sectional descriptive study was conducted using a peer-reviewed survey questionnaire, circulated to 2217 anaesthetists via a national communication platform. The aim was to determine the self-reported frequency, nature, contributing factors and reporting patterns of DAEs among anaesthesia providers in South Africa. RESULTS: Our cohort had a response rate was 18.9%, with 420 individuals populating the questionnaire. 92.5% of surveyed participants have made a DAE and 89.2% a near-miss. Incorrect route of administration, potentially resulting in serious harm, accounted for 8.2% (n = 23/N = 279) of these errors. DAEs mostly reported in cases involving adult patients (80.5%, n = 243/N = 302), receiving a general anaesthetic (71.8%, n = 216/N = 301), where the drug-administrator prepared the drugs themselves (78.7%, n = 218/N = 277), during normal daytime hours (69.9%, n = 202/N = 289) with good lightning conditions (93.0%, n = 265/N = 285). 26% (n = 80/N = 305) of DAEs involved ampoule misidentification, whilst syringe identification error reported in 51.6% (n = 150/N = 291) of cases. DAEs are often not reported (40.3%, n = 114/N = 283), with knowledge of correct reporting procedures lacking. 70.5% (n = 198/N = 281) of DAEs were never discussed with the patient. CONCLUSIONS: DAEs in anaesthesia remain prevalent. Known error traps continue to drive these incidents. Implementation of system based preventative strategies are paramount to guard against human error. Efforts should be made to encourage scrupulous reporting and training of anaesthesia providers, with the aim of rendering them proficient and resilient to handle these events.

Fat overload syndrome following intravenous lipid emulsion administration as antidote in suspected anesthetic intoxication: insights from a clinical and forensic case experience.

Abstract: Medication errors pose significant risks to patients' health, representing a relevant social and economic issue for the healthcare system. This study focuses on the life-threatening consequences of an overdose of intravenous lipid emulsion (ILE), used as an antidote for suspected bupivacaine intoxication in a young woman undergoing hip surgery. Shortly after administration of the local anesthetic, the woman experienced cardiac arrest and was admitted to the intensive care unit with severe respiratory failure, metabolic acidosis and deep coma. Despite medical intervention, her condition worsened, leading the medical team to administer ILE for suspected bupivacaine intoxication. The patient's condition did not improve and ultimately resulted in death. The autopsy highlighted a widespread presence of oily material in the vascular system, compatible with an overdose of ILE. At a checking, medical records reported a dose of ILE that was 4-fold higher than the recommended dose in this off-label indication. This case report highlights the important need for healthcare professionals to understand the risks of using ILE as an antidote. Adequate monitoring of these "sentinel events" and their critical evaluation can lead to the implementation of specific clinical risk management protocols to reduce the risk for the patient and contain healthcare costs.

Root cause analysis of safety incidents in antineoplastic use in children.

OBJECTIVES: to identify and analyze the factors that contribute to safety incident occurrence in the processes of prescribing, preparing and dispensing antineoplastic medications in pediatric oncology patients. METHODS: a quality improvement study focused on oncopediatric pharmaceutical care processes that identified and analyzed incidents between 2019-2020. A multidisciplinary group performed root cause analysis (RCA), identifying main contributing factors. RESULTS: in 2019, seven incidents were recorded, 57% of which were prescription-related. In 2020, through active search, 34 incidents were identified, 65% relating to prescription, 29% to preparation and 6% to dispensing. The main contributing factors were interruptions, lack of electronic alert, work overload, training and staff shortages. CONCLUSIONS: the results showed that adequate recording and application of RCA to identified incidents can provide improvements in the quality of pediatric oncology care, mapping contributing factors and enabling managers to develop an effective action plan to mitigate risks associated with the process.