METHODS: Conducted from February to May 2023, this study aimed to determine the relationships between perceived effectiveness and perceived ease of implementation of six nudge interventions to reduce medication errors, i.e., provider champion, provider's commitment, peer comparison, provider education, patient education and departmental feedback, and the moderating effects of seniority of job positions and clinical experience on nudge acceptability. Partial Least Square Structural Equation Modelling was used for data analysis.
RESULTS AND DISCUSSION: All six nudge strategies had significant positive relationships between perceived effectiveness and acceptability. In three out of six interventions, perceived ease of implementation was shown to have positive relationships with perceived acceptability. Only seniority of job position had a significant moderating effect on perceived ease of implementation in peer comparison intervention. Interventions that personally involve senior doctors appeared to have higher predictive accuracy than those that do not, indicating that high power-distance culture influence intervention acceptability.
CONCLUSION: For successful nudge implementations, both intrinsic properties of the interventions and the broader sociocultural context is necessary.
OBJECTIVE: This study aimed to estimate and critically appraise the evidence on the prevalence, causes and severity of medication administration errors (MAEs) amongst neonates in Neonatal Intensive Care Units (NICUs).
METHODS: A systematic review and meta-analysis was conducted by searching nine electronic databases and the grey literature for studies, without language and publication date restrictions. The pooled prevalence of MAEs was estimated using a random-effects model. Data on error causation were synthesised using Reason's model of accident causation.
RESULTS: Twenty unique studies were included. Amongst direct observation studies reporting total opportunity for errors as the denominator for MAEs, the pooled prevalence was 59.3% (95% confidence interval [CI] 35.4-81.3, I2 = 99.5%). Whereas, the non-direct observation studies reporting medication error reports as the denominator yielded a pooled prevalence of 64.8% (95% CI 46.6-81.1, I2 = 98.2%). The common reported causes were error-provoking environments (five studies), while active failures were reported by three studies. Only three studies examined the severity of MAEs, and each utilised a different method of assessment.
CONCLUSIONS: This is the first comprehensive systematic review and meta-analysis estimating the prevalence, causes and severity of MAEs amongst neonates. There is a need to improve the quality and reporting of studies to produce a better estimate of the prevalence of MAEs amongst neonates. Important targets such as wrong administration-technique, wrong drug-preparation and wrong time errors have been identified to guide the implementation of remedial measures.
OBJECTIVES: This study aimed to determine the incidence of unintentional discrepancies (medication errors), types of medication errors with its potential severity of patient harm and acceptance rate of pharmaceutical care interventions.
METHODS: A four-month cross-sectional study was conducted in the general medical wards of a tertiary hospital. All newly admitted patients with at least one prescription medication were recruited via purposive sampling. Medication history assessments were done by clinical pharmacists within 24 hours or as soon as possible after admission. Pharmacist-acquired medication histories were then compared with in-patient medication charts to detect discrepancies. Verification of the discrepancies, interventions, and assessment of the potential severity of patient harm resulting from medication errors were collaboratively carried out with the treating doctors.
RESULTS: There were 990 medication discrepancies detected among 390 patients recruited in this study. One hundred and thirty-five (13.6%) medication errors were detected in 93 (23.8%) patients (1.45 errors per patient). These were mostly contributed by medication omissions (79.3%), followed by dosing errors (9.6%). Among these errors, 88.2% were considered "significant" or "serious" but none were "life-threatening." Most (83%) of the pharmaceutical interventions were accepted by the doctors.
CONCLUSION: Medication history assessment by pharmacists proved vital in detecting medication errors, mostly medication omissions. Majority of the errors intervened by pharmacists were accepted by the doctors which prevented potential significant or serious patient harm.
METHODS: A cross-sectional study was conducted over the period of 9 weeks in patients who visited the ED of Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia. Data on patient medication orders and demographic information was collected from the doctor's clerking sheet. Observations were made on nursing activities and these were documented in the data collection form. Other information related to the administration of medications were obtained from the nursing care records.
RESULTS: Observations and data collections were made for 547 patients who fulfilled the study criteria. From these, 311 patient data were randomly selected for analysis. Ninety-five patients had at least one ME. The prevalence of ME was calculated to be 30.5%. The most common types of ME were wrong time error (46.9%), unauthorized drug error (25.4%), omission error (18.5%) and dose error (9.2%). The most frequently drug associated with ME was analgesics. No adverse event was observed.
CONCLUSIONS: The prevalence of ME in our ED setting was moderately high. However, the majority of them did not result in any adverse event. Intervention measures are needed to prevent further occurrence.
OBJECTIVES: This study examined community pharmacists' beliefs towards risk minimization measures in off-label drug use in Malaysia and assessed the relationship between perceived risk of off-label drug use and beliefs towards risk minimization measures.
METHODS: A cross-sectional survey was conducted among 154 pharmacists practicing in randomly selected community pharmacies in Kuala Lumpur and the State of Selangor, Malaysia.
RESULTS: The majority agreed or strongly agreed that adverse drug events from the off-label drug should be reported to the regulatory authority (90.9%) and the off-label drug should only be used when the benefit outweighs potential risks (88.3%). Less than half (48.1%) agreed or strongly agreed that written informed consent should be obtained before dispensing off-label drugs and a majority (63.7%) agreed or strongly agreed that the informed consent process will be burdensome to healthcare professionals. Beliefs towards risk minimization measures were significantly associated with perceived risk of off-label drug use regarding efficacy (p = 0. 033), safety (p = 0.001), adverse drug rection (p = 0.001) and medication errors (p = 0.002).
CONCLUSION: The community pharmacists have positive beliefs towards most of the risk minimization measures. However, beliefs towards written informed consent requirements are not encouraging. Enhancing risk perception may help influence positive beliefs towards risk minimization measures.
Objective: The aim of this study is to evaluate the drive-through pharmacy service in Queen Elizabeth Hospital, Malaysia.
Methods: A cross-sectional observational study was conducted from July to December 2018. The questionnaire was developed and underwent thorough validation process which yielded a Cronbach's alpha reliability score of 0.9130. Satisfaction was calculated by mean percentage score (0% (dissatisfied) to 100% (satisfied). All data were analysed descriptively and thematic analysis was used in analysing open-ended question.
Results: Compliance in obtaining medication was at 96.3% with a given two-week grace collection period. Insufficient quantity of medications (33.3%) was the highest near-missed medication errors occurred at the drive-through pharmacy. The mean satisfaction percentage score for all patients were 76.6% ± 8.1. A total of 69.2% (n = 83) were "very satisfied" while 30.8% (n = 37) were "satisfied" with the service. Among the reasons for satisfaction are convenience in getting medication refills (n = 74, 62%), short waiting time (n = 75, 63%) and knowledgeable dispensers (n = 87, 73%). A handful of patients were "dissatisfied" with the opening hours (n = 14, 11.7%) and the location of the drive-through pharmacy service (n = 19, 15.8%).
Conclusion: Compliance in medication collection is acceptable within stipulated grace period. Despite low occurrence, identification of near-missed medication errors provides useful insights for future improvement of the service. Generally, our patients are satisfied with the service. However, we need to re-evaluate on the opening hours and location of the service.
Methods: The questionnaire was developed from the literature together with outcomes from focus group discussions. It was divided into two domains which are knowledge on ME and attitude towards ME reporting. Content validity index (I-CVI), exploratory factor analysis (EFA), Cronbach alpha and intraclass correlation coefficient (ICC) to assess test-retest reliability were obtained during the validation process.
Results: Overall Cronbach alpha for internal consistency was good (0.742), where subscale of the questionnaire demonstrated adequate internal consistency, with Cronbach alpha value 0.83 for knowledge and 0.70 for reporting behaviour attitude. The I-CVI showed good scores (knowledge=0.88) and (attitude=0.81), while ICC was moderately accepted with a value of 0.77. Two factors were extracted from the 16 items in EFA.
Conclusion: The questionnaire to assess knowledge on ME and attitude towards ME reporting among pharmacists is valid and reliable. It demonstrates good psychometric properties.
Objective: The objective of this study was to develop interventions to reduce percentage of patients with one or more medication errors during discharge.
Methods: A pharmacist-led quality improvement (QI) program over 6 months was conducted in medical wards at a tertiary public hospital. Percentage of patients discharge with one or more medication errors was reviewed in the pre-intervention and four main improvements were developed: increase the ratio of pharmacist to patient, prioritize discharge prescription order within office hours, complete discharge medication reconciliation by ward pharmacist, set up a Centralized Discharge Medication Pre-packing Unit. Percentage of patients with one or more medication errors in both pre- and post-intervention phase were monitored using process control chart.
Results: With the implementation of the QI program, the percentage of patients with one or more medication errors during discharge that were corrected by pharmacists significantly increased from 77.6% to 95.9% (p<0.001). Percentage of patients with one or more clinically significant error was similar in both pre and post-QI with an average of 24.8%.
Conclusions: Increasing ratio of pharmacist to patient to complete discharge medication reconciliation during discharge significantly recorded a reduction in the percentage of patients with one or more medication errors.
MATERIALS AND METHODS: We investigated Google Trends® for popular search relating to medication errors, risk management and shift work. Relative search volumes (RSVs) were evaluated from 2008 to 2018. A comparison between RSV curves related to medication errors, risk management and shift work was carried out. Then, we compared the world to Italian search.
RESULTS: RSVs were persistently higher for risk management than for medication errors (mean RSVs 069 vs. 48%) and RSVs were stably higher for medication errors than shift work (mean RSVs 48 vs. 22%). In Italy, RSVs were much lower compared to the rest of the world, and RSVs for medication errors during the study period were negligible. Mean RSVs for risk management and shift work were 3 and 25%, respectively. RSVs related to medication errors and clinical risk management were correlated (r=0.520, p<0.0001).
CONCLUSIONS: Google Trends® search query volumes related to medication errors, risk management and shift work are different. RSVs for risk management are higher, and they are correlated with medication errors. Also, shift work search appears to be lower. These results should be interpreted in order to correctly evaluate how to decrease the number of medication errors in different health care related setting.