Severe and fatal medication errors in hospitals: findings from the Norwegian Incident Reporting System

Tackling medication errors: how a systems approach improves patient safety

OBJECTIVES

Medication errors are a leading source of preventable harm in healthcare, affecting approximately 1 in 30 patients, with a substantial proportion resulting in severe outcomes. In response, the European Association of Hospital Pharmacists convened a Special Interest Group (SIG) to propose comprehensive and sustainable strategies for reducing these errors across Europe, employing a systems approach.

METHODS

89 anonymised medication error reports, and empirical data from the SIG members' daily practice, were analysed to identify root causes, classified into system-level and individual errors. Expert subgroups then linked root causes to targeted preventive measures. A literature review was conducted, searching PubMed and Embase databases, to assess existing standards and identify gaps in medication safety practices, which informed the analysis.

RESULTS

Analysis revealed that governance deficiencies and inconsistent implementation of existing legal standards contribute significantly to medication errors. System-level issues, including inadequate oversight, understaffing and insufficient technical infrastructures, along with individual errors from cognitive lapses, were prevalent. The literature review supported these findings and highlighted the variability in medication safety practices across systems, underscoring the importance of strategic improvements in healthcare policies.

CONCLUSIONS

Findings highlight the critical need for robust governance, comprehensive policy frameworks and enhanced safety cultures to prevent medication errors. Automation and improved human-machine interfaces are recommended to mitigate active failures and enhance system reliability. This systems-thinking approach, supported by strengthening legislation and better resource allocation, is essential for reducing medication errors and improving patient safety.

Using Implementation Science-Informed Strategies to Improve Transitions of Care for Patients with Venous Thromboembolism

BACKGROUND

Venous thromboembolism (VTE), including deep vein thrombosis and pulmonary embolism, are common causes of preventable hospital death. Most VTEs diagnosed in the outpatient setting are directly linked to a recent hospitalization or surgery.

METHODS

A type 2 effectiveness-implementation hybrid study was conducted to develop and implement targeted interventions to improve care for patients with VTE in six US health systems. Primary outcomes included (1) 7-day follow-up after VTE diagnosis (phone calls, office visits); (2) VTE-related hospitalizations or emergency department (ED) visits within 45 days of acute VTE diagnosis; and (3) anticoagulant-associated adverse drug events (ADEs). Qualitative comparative analysis (QCA) identified interventions associated with improved care for patients with VTE.

RESULTS

Among 1,265 patients, follow-up within 7 days of an index VTE diagnosis improved from 25.2% to 33.6% (p < 0.0001); among 2,002 patients, hospitalizations/ED visits within 45 days of VTE diagnosis decreased across settings from 7.8% to 6.3% (p = 0.033), and the rate of anticoagulant-associated ADEs remained low (3.1% to 3.4%, p = 0.528). Factors characteristic of improving 7-day follow-up included combinations of (1) safer prescribing and management of anticoagulants and standardized protocols with centralized care processes or (2) safer prescribing and management of anticoagulants with improved care team communication and expanded anticoagulation clinic access for patients prescribed direct oral anticoagulants. Factors associated with 45-day hospitalization/ED visits improvement included high baseline rates of 7-day follow-up, high rates of baseline 45-day hospitalization/ED visits (larger opportunity), improved care team communication, and improved standardization and centralization of protocols.

CONCLUSION

Combinations of interventions, tailored to local context and team dynamics, improved ambulatory follow-up rates and reduced VTE-related utilization. Health systems may benefit from considering novel, implementation science-informed strategies to foster improvement.

The Use of PediSTAT Application by Paramedics Working in Saudi Arabia to Reduce the Risk of Medication Error for Pediatric Patients

BACKGROUND/OBJECTIVES

This study aimed to assess and compare the rates of medication error (ME) using the PediSTAT application compared to the conventional method of calculating the correct dose and determining the appropriate route of medication administration for common pediatric emergencies.

METHODS

A prospective cross-sectional study design was used for the study. Data were collected using a questionnaire that was distributed to certified paramedics holding a bachelor's degrees or higher and working in Riyadh City, Saudi Arabia. Alternate simple random sampling was used to recruit the participants into two groups using the same questionnaire: the PediSTAT group and the conventional method group. The questionnaire contained four pediatric emergency vignettes: cardiac arrest, asthma exacerbation, seizures, and hypoglycemia.

RESULTS

A total of 63 participants agreed to the study. Almost 80% of them were males, 81% held bachelor's degrees, and 87% were certified in pediatric resuscitation courses. The findings of the study showed that the use of the PediSTAT application increased accuracy and reduced the risk of ME for common pediatric emergencies. This was shown to be statistically significant for asthma medication dose (p-value < 0.001, 95% CI 0.034-0.352), midazolam dose (p-value = 0.012, 95% CI 0.030-0.764), and hypoglycemia medication dose (p-value < 0.001, 95% CI 0.046, 0.452).

CONCLUSIONS

The study findings supported the use of standardized precalculated applications such as PediSTAT, which was shown to reduce the risk of ME in prehospital care for pediatric emergencies.

Disproportionality Analysis and Characterisation of Medication Errors in EudraVigilance: Exploring Findings on Sexes and Age Groups

BACKGROUND

While medication errors (MEs) have been studied in the European Medicines Agency's EudraVigilance, extensive characterisation and signal detection based on sexes and age groups have not been attempted.

OBJECTIVES

The aim of this study was to characterise all ME-related individual case safety reports in EudraVigilance and explore notable signals of disproportionate reporting (SDRs) among sexes and age groups for the 30 most frequently reported drugs.

METHODS

Individual case safety reports were used from EudraVigilance reported between 2002 and 2021. An ME was defined as any Preferred Term from the narrow Standardised Medical Dictionary for Regulatory Activities® Query. Signals of disproportionate reporting were selected based on a lower boundary of the 95% confidence interval ≥ 1 of the reporting odds ratio, and at least 3 individual case safety reports. Analysed subgroups were female individuals, male individuals, and age groups 0-1 month, 2 months to 2 years, 3-11 years, 12-17 years, 18-64 years, 65-85 years, and >85 years. Heatmaps were utilised as a visual aid to identify striking SDRs.

RESULTS

Of the 9,662,345 EudraVigilance reports, 267,262 (2.8%) contained at least one ME, with a total of 300,324 MEs, for 429,554 drugs. The most reported ME was "Inappropriate schedule of product administration" (52,646; 17.5%), followed by "Incorrect dose administered" (32,379; 10.8%) and "Wrong technique in product usage process" (26,831; 8.9%). Individual case safety reports with MEs were most frequently related to female individuals (148,009; 55.4%), most often submitted by healthcare professionals (155,711; 58.3%), originated predominantly from the USA (98,716; 36.9%), followed by France (26,678; 10.0%), and showed a median reported age of 50 years (interquartile range: 26-68). Most ME individual case safety reports (158,991; 59.5%) were associated with a serious health outcome. A total of 847 SDRs were identified, based on the entire EudraVigilance database; for subgroups, the number of SDRs ranged from 84 for the age group 0-1 month to 749 for female individuals. Signals of disproportionate reporting for female individuals and male individuals were very similar. Most MEs were reported for the vaccine against human papillomavirus (Anatomical Therapeutic Chemical [ATC]: J07BM01; 11,086 MEs, 57% being "inappropriate schedule of product administration"), with reporting odds ratios that range from 1.5 to 47.0 among age groups. The SDR for the live-attenuated vaccine against herpes zoster (ATC: J07BK02) had a reporting odds ratio that ranged from 26.6 to 78.1 among all subgroups. Signals of disproportionate reporting for oxycodone (ATC: N02AA05; 847 cases of "Accidental overdose", 35%), risperidone (ATC: N05AX08; 469 cases "Inappropriate schedule of product administration", 22.3%) and rivaroxaban (ATC: B01AF01; 1,377 cases of "Incorrect dose administered", 34.6%) stood out with higher magnitude SDRs for the age group 2 months to 2 years, with an reporting odds ratio range between 8.2 and 10.7, while for the entire EudraVigilance the reporting odds ratio ranged between 1.3 and 1.6 for the same drugs.

CONCLUSIONS

This exploratory research provides an overview of characterised ME individual case safety reports and SDRs from the EudraVigilance database. Most conspicuous SDRs were identified in specific age groups. Signals of disproportionate reporting, not described in the literature, were found for vaccines, oxycodone, rivaroxaban and risperidone, and may prompt further examination by stakeholders. Top-reported MEs ("Inappropriate schedule of product administration", "Incorrect dose administered" and "Wrong technique in product usage process") emerged as a general priority focus to perform a further root-cause analysis involving healthcare providers, manufacturers and regulatory bodies, to improve the understanding and prevention of MEs.

Investigating pediatric nurses' perceptions of factors contributing to MAEs at Yendi hospital, Ghana

BACKGROUND

Medication administration errors (MAEs) are a critical concern in pediatric healthcare, contributing to adverse drug events (ADEs) and negatively impacting patient health.

OBJECTIVES

This study explores pediatric nurses' perceptions of factors contributing to MAEs at Yendi Municipal Hospital to develop interventions enhancing patient safety.

METHODS

A descriptive cross-sectional survey was conducted among 143 nurses at Yendi Municipal Hospital using structured questionnaires. Data were analysed using SPSS 26.0 and Excel 2016. Bivariate analysis examined relationships between socio-demographic characteristics and MAEs.

RESULTS

Contributing factors to MAEs included inadequate training (91.6%), misunderstanding medical abbreviations (88.8%), poor supervision (92.3%), eagerness to sign out shifts (70.6%), improper handover (88.8%), inadequate staff (77.6%), dosage miscalculations (83.9%), and illegible handwriting (81.8%). Significant associations were found between MAEs and the type of unit/ward (X²=6.25, p = 0.012) and educational level (Fisher Exact test = 4.20, p = 0.036).

CONCLUSION

Inadequate training, poor supervision, and communication issues are major contributors to MAEs in pediatric settings. Targeted interventions can significantly improve patient safety and care quality.

Comparing Patient Satisfaction with Automated Drug Dispensing System and Traditional Drug Dispensing System: A Cross-Sectional Study

Introduction

The adoption of automated drug dispensing systems (ADDS) in hospital pharmacies is a global trend, driven by its potential to reduce dispensing errors, minimize prescription filling time, and ultimately, improve patient care services. However, a significant research gap exists in the field, as a comprehensive assessment of patient satisfaction with ADDS is currently lacking. This study, with its comprehensive approach, aims to fill this gap by comparing patient satisfaction between hospital pharmacies implementing ADDS and traditional drug dispensing systems (TDDS).

Patients and Methods

The cross-sectional study was conducted in hospitals adopting ADDS and TDDS. All the outpatients aged 18 or above who visited the pharmacy were included, and severely ill patients were excluded from the study. A 17-item, 5-point Likert scale questionnaire assessed the participant's satisfaction. The questionnaire has four domains: pharmacy administration, dispensing practice, patient education, and dispensing system.

Results

The demographics of the study participants were normally distributed between ADDS and TDDS according to chi-square analysis. The mean participant satisfaction was significantly (P<0.05) higher in ADDS than in TDDS regarding all the items of dispensing practice and dispensing system domains. Three items related to the pharmacy administration domain showed significant participant satisfaction with ADDS. However, the participants' satisfaction showed no significant difference (p=0.176) between ADDS and TDDS in terms of the cleanliness of the pharmacy. Also, the participant's satisfaction between ADDS and TDDS was not statistically significant regarding the pharmacist's explanation of the side effects (p=0.850) and provision of all necessary information to the patient (p=0.061) in the patient education domain.

Conclusion

Patient satisfaction was higher in the ADDS participants than in TDDS regarding pharmacy administration, patient education, dispensing practice, and systems. However, pharmacists in ADDS need to be motivated to transfer the advantages of ADDS to patient care, including comprehensive patient education, particularly on side effects.

Pharmacists' interventions on prescribing errors in Malaysia

Background

Prescribing errors (PEs) cause significant avoidable harm globally. In Malaysia, despite the prevalence of PEs in government healthcare facilities, there is limited research on how pharmacist staffing levels influence intervention frequency and effectiveness. This study aims to address this gap by analysing intervention trends and assessing their association with staffing levels, highlighting the correlation between increased pharmacist presence and the frequency of interventions.

Methods

This retrospective cross-sectional study analysed data from the Ministry of Health's Pharmacy Management Form and the Pharmacy Board Registry from 2017 to 2019. Multivariate regression and two-way ANOVA assessed the association between the number of pharmacists, total prescriptions, and interventions on PEs in Health Clinic Outpatient Pharmacy, Hospital Outpatient Pharmacy, and Hospital Inpatient Pharmacy settings.

Results

Annually, pharmacists intervened in approximately 1.8% of total prescriptions, with the most common errors being wrong dose, wrong medication, and wrong dosing frequency. These interventions were consistent across all settings, highlighting the uniformity in pharmacists' approach to managing PEs. The regression analysis revealed a significant positive correlation between the number of pharmacists, total prescriptions, and interventions on PEs, with an adjusted R-squared value of 0.899. Both the number of pharmacists and total prescriptions received were positively significant (p < 0.05), indicating that increased pharmacist presence strongly correlates with intervention frequency. No statistically significant differences were observed in intervention rates across different settings and severity levels, suggesting that pharmacists consistently provide effective interventions irrespective of the clinical context.

Conclusion

In conclusion, this study confirms that increasing the number of pharmacists and total prescriptions received are critical predictors of interventions on PEs in Malaysia. It underscores the vital role of pharmacists in enhancing patient safety and healthcare quality, demonstrating their effectiveness in diverse settings and their adaptability to various patient needs and challenges.

Addressing Medication Administration Safety Through Simulation: A Quasi-Experimental Study Among Nursing Students

Healthcare institutions are dedicated to minimizing medication errors and promoting their reporting. This study investigates the impact of simulation on nursing students' attitudes toward and intention to report medication errors. A quasi-experimental one-group pre-post-test study was conducted. Third-year nursing students (N = 63) participated in a scenario-based simulation for medication administration. Participants' errors were documented. Participants self-reported attitudes toward medication administration safety and intention to report errors. The most reported error was "contraindicated in disease" (61%). The simulation increased attitudes of preparedness by the training program received (p < 0.01) and belief in the patient's involvement in preventing errors (p < 0.01), and decreased the belief that professional incompetence reveals errors (p = 0.015). Intention to report errors was influenced by medication error training received (p = 0.045), confidence in error reporting (p < 0.001), and a sense of responsibility to disclose errors (p = 0.001). Simulation effectively shapes attitudes and intentions regarding medication error reporting. Improving nursing students' awareness, skills, and clinical judgment can foster a safety culture and potentially reduce patient harm. Future research should examine the long-term effects of simulation and its impact on reducing medication errors.

Reducing medication errors in HIV-positive patients: Influence of a clinical pharmacist

Background

The roll-out of antiretroviral medicines has improved life expectancy in people living with HIV (PLHIV). This has resulted in more patients being hospitalised for non-communicable diseases, increasing risk for medication errors (MEs). Pharmacists, through medication reconciliation, may identify and reduce MEs in this population.

Objectives

To describe the importance of a pharmacist's involvement in identifying and quantifying types of MEs.

Method

A quantitative, prospective observational study was conducted over 14 weeks. A pharmacist reviewed HIV-positive, hospitalised patients' files, using a data collection instrument, to determine the prevalence of MEs in PLHIV. The study pharmacist recommended appropriate actions to the prescriber to resolve MEs and documented resolution of the MEs.

Results

The study population of n = 180 patient files were reviewed 453 times, identifying 466 MEs. Medication errors included incorrect medication reconciliation from history (19; 4.1%), prescription omission (17; 3.7%), duplication of therapy (10; 2.2%), missed doses (265; 57.1%), incorrect dosing (103; 22.2%), incorrect administration frequency (2; 0.4%), incorrect duration of therapy (15; 3.2%) and drug-drug interactions (18; 3.9%). More than half (58.2%) of the MEs were resolved in less than 24 h, with involvement of the pharmacist.

Conclusion

This study demonstrates the magnitude of MEs experienced in hospitalised PLHIV and highlights the role clinical pharmacists play in identifying and resolving MEs to improve patient outcomes.

Dose 4 You: Dose Division Calculator-A Tool to Reduce Calculation Errors

Background: Medication dosing calculation errors can cause significant harm to patients, especially in the pediatric population. Crushing tablets for dose division purposes may increase the risk of calculation errors, which can lead to incorrect dosing and compromised patient safety. This study aimed to develop a calculator to eliminate calculation errors associated with dose division. Methods: Using the Wix platform, a group of pharmacists created a user-friendly webpage "Dose 4 You." To enable accurate dose division calculations, the advanced language model Chat GPT and Visual Studio were used. The tool assists healthcare professionals through a step-by-step process, allowing them to enter the necessary dose and medication requirements. The Dose 4 You web page's reliability and feasibility were assessed using retrospective data and validated questionnaires, including the System Usability Scale (SUS), respectively and a Likert scale-based acceptance questionnaire. Results: The Dose 4 You website calculated the required amount of powdered tablet to achieve the desired dose with 100% accuracy. The obtained SUS score was 88.38, indicating excellent usability. The average score of all questions for acceptance was found to be 4.7 ± 0.15 indicating a strong agreement on the tool's usefulness and effectiveness. Conclusion: Dose 4 You is a reliable tool that improves patient safety by streamlining dose calculations and lowering calculation errors. The tool's ease of use, practicality in daily clinical practice, and potential to reduce medication errors are highlighted by the positive perception among healthcare professionals. Dose 4 You's successful implementation demonstrates the power of technology and collaboration in transforming medication administration and improving patient outcomes. Similar innovative solutions to optimize healthcare practices can be explored in future health informatics endeavors.

An Assessment of Medication Errors Among Pediatric Patients in Three Hospitals in Freetown Sierra Leone: Findings and Implications for a Low-Income Country

Background

Pediatric patients are prone to medicine-related problems like medication errors (MEs), which can potentially cause harm. Yet, this has not been studied in this population in Sierra Leone. Therefore, this study investigated the prevalence and nature of MEs, including potential drug-drug interactions (pDDIs), in pediatric patients.

Methods

The study was conducted in three hospitals among pediatric patients in Freetown and consisted of two phases. Phase one was a cross-sectional retrospective review of prescriptions for completeness and accuracy based on the global accuracy score against standard prescription writing guidelines. Phase two was a point prevalence inpatient chart review of MEs categorized into prescription, administration, and dispensing errors and pDDIs. Data was analyzed using frequency, percentages, median, and interquartile range. Kruskal-Wallis H and Mann-Whitney U-tests were used to compare the prescription accuracy between the hospitals, with p<0.05 considered statistically significant.

Results

Three hundred and sixty-six (366) pediatric prescriptions and 132 inpatient charts were reviewed in phases one and two of the study, respectively. In phase one, while no prescription attained the global accuracy score (GAS) gold standard of 100%, 106 (29.0%) achieved the 80-100% mark. The patient 63 (17.2%), treatment 228 (62.3%), and prescriber 33 (9.0%) identifiers achieved an overall GAS range of 80-100%. Although the total GAS was not statistically significant (p=0.065), the date (p=0.041), patient (p=<0.001), treatment (p=0.022), and prescriber (p=<0.001) identifiers were statistically significant across the different hospitals. For phase two, the prevalence of MEs was 74 (56.1%), while that of pDDIs was 54 (40.9%). There was a statistically positive correlation between the occurrence of pDDI and number of medicines prescribed (r=0.211, P=0.015).

Conclusion

A Low GAS indicates poor compliance with prescription writing guidelines and high prescription errors. Medication errors were observed at each phase of the medication use cycle, while clinically significant pDDIs were also reported. Thus, there is a need for training on prescription writing guidelines and medication errors.

Risks in the analogue and digitally-supported medication process and potential solutions to increase patient safety in the hospital: A mixed methods study

BACKGROUND

In hospital medication errors are common. Our aim was to investigate risks of the analogue and digitally-supported medication process and any potential solutions.

METHODS

A mixed methods study including a structured literature search and online questionnaires based on the Delphi method was conducted. First, all risks were structured into main and sub-risks and second, risks were grouped into risk clusters. Third, healthcare experts assessed risk clusters regarding their likelihood of occurrence their possible impact on patient safety. Experts were also asked to estimate the potential for digital solutions and solutions that strengthen the competence of healthcare professionals.

RESULTS

Overall, 160 main risks and 542 sub-risks were identified. Main risks were grouped into 43 risk clusters. 33 healthcare experts (56% female, 50% with >20 years professional-experience) ranked the likelihood of occurrence and the impact on patient safety in the top 15 risk clusters regarding the process steps: admission (n = 4), prescribing (n = 3), verifying (n = 1), preparing/dispensing (n = 3), administering (n = 1), discharge (n = 1), healthcare professional competence (n = 1), and patient adherence (n = 1). 28 healthcare experts (64% female, 43% with >20 years professional-experience) mostly suggested awareness building and training, strengthened networking, and involvement of pharmacists at point-of-care as likely solutions to strengthen healthcare professional competence. For digital solutions they primarily suggested a digital medication list, digital warning systems, barcode-technology, and digital support in integrated care.

CONCLUSIONS

The medication process holds a multitude of potential risks, in both the analogue and the digital medication process. Different solutions to strengthen healthcare professional competence and in the area of digitalization were identified that could help increase patient safety and minimize possible errors.

Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication

BACKGROUND AND OBJECTIVE

The overall benefits of using clinical decision support systems (CDSSs) can be restrained if physicians inadvertently ignore clinically useful alerts due to "alert fatigue" caused by an excessive number of clinically irrelevant warnings. Moreover, inappropriate drug errors, look-alike/sound-alike (LASA) drug errors, and problem list documentation are common, costly, and potentially harmful. This study sought to evaluate the overall performance of a machine learning-based CDSS (MedGuard) for triggering clinically relevant alerts, acceptance rate, and to intercept inappropriate drug errors as well as LASA drug errors.

METHODS

We conducted a retrospective study that evaluated MedGuard alerts, the alert acceptance rate, and the rate of LASA alerts between July 1, 2019, and June 31, 2021, from outpatient settings at an academic hospital. An expert pharmacist checked the suitability of the alerts, rate of acceptance, wrong-drug errors, and confusing drug pairs.

RESULTS

Over the two-year study period, 1,206,895 prescriptions were ordered and a total of 28,536 alerts were triggered (alert rate: 2.36 %). Of the 28,536 alerts presented to physicians, 13,947 (48.88 %) were accepted. A total of 8,014 prescriptions were changed/modified (28.08 %, 8,014/28,534) with the most common reasons being adding and/or deleting diseases (52.04 %, 4,171/8,014), adding and/or deleting drugs (21.89 %, 1,755/8,014) and others (35.48 %, 2,844/ 8,014). However, the rate of drug error interception was 1.64 % (470 intercepted errors out of 28,536 alerts), which equates to 16.4 intercepted errors per 1000 alerted orders.

CONCLUSION

This study shows that machine learning based CDSS, MedGuard, has an ability to improve patients' safety by triggering clinically valid alerts. This system can also help improve problem list documentation and intercept inappropriate drug errors and LASA drug errors, which can improve medication safety. Moreover, high acceptance of alert rates can help reduce clinician burnout and adverse events.

Cancer-Chemotherapy-Related Regimen Checks Performed by Pharmacists of General Hospitals Other than Cancer Treatment Collaborative Base Hospitals: A Multicenter, Prospective Survey

Although prescription review is an important role for pharmacists in anticancer drug therapy, there are no guidelines in Japan that specify what pharmacists should check for in chemotherapy regimens. This prospective multicenter survey aimed to investigate the implementation of chemotherapy regimen checks by pharmacists in general hospitals by focusing on 19 recommended confirmation items designed to enhance chemotherapy safety. This study involved 14 hospitals within the National Hospital Organization in different regions of Japan. The top five cancers in Japan (gastric, colorectal, lung, breast, and gynecological) were targeted and specific chemotherapy regimens were analyzed. This study assessed the amount of time required for regimen checks, the number of confirmation items completed, the number and the content of inquiries raised regarding prescriptions, and the pharmacists' opinions using a questionnaire that had a maximum score of 10 points. Pharmacists checked 345 and 375 chemotherapies of patients in the control group (CG) and recommended items group (RIG), respectively. The mean time periods required for completing a chemotherapy regimen check were 4 min and 14 s (SD ±1 min and 50 s) and 6 min and 18 s (SD, ±1 min and 7 s) in the CG and RIG, respectively. The mean of the recommended items for the CG = 12.4 and for the RIG = 18.6. The items that the pharmacists did not confirm included urine protein (sixty-nine cases, 18.4%), allergy history (four cases, 1%), previous history (two cases, 0.5%), and a previous history of hepatitis B virus (sixty-nine cases, 18.4%). The number of inquiries for a doctor's prescription order was higher in the RIG than in the CG (41 vs. 27 cases). This multicenter survey demonstrated the potential effectiveness of implementing 19 recommended confirmation items in the regimen checks by pharmacists in general hospitals other than cancer treatment collaborative base hospitals.

Clinical placement education during the coronavirus disease 2019 pandemic shapes new nurses: A qualitative study

Background

Many newly qualified nurses experience transition challenges because they feel unprepared for the reality of the nursing profession owing to the theory-practice gap. Transition challenges amongst newly qualified nurses have profound consequences for the nursing profession and patient care. A detailed and nuanced understanding of the complexity in transition-related challenges during extraordinary conditions like the coronavirus disease 2019 pandemic is needed for newly qualified nurses to remain in the nursing profession.

Objective

This study explored the experience of newly qualified nurses entering the nursing profession who had their clinical placement education missed, shortened, or substituted since they had to serve as health care assistants during the coronavirus disease 2019 pandemic.

Design

An exploratory and descriptive study design was used.

Settings

Workplaces for newly qualified nurses.

Participants

A purposive sample of 10 newly qualified Norwegian nurses working in various clinical placement nursing settings were included.

Methods

Data were collected in April and May 2022 via individual interviews conducted via Zoom. Thematic analysis was applied to identify themes. Triangulation was employed to ensure trustworthiness.

Findings

Three major themes emerged: relational aspects of nursing, practical aspects of nursing, and inadequacies in the pedagogical plan of teaching and learning. The themes indicate that the limited or suspended clinical placement education during the pandemic affected the competence of newly qualified nurses.

Conclusions

During the coronavirus disease 2019 pandemic, clinical placement education for student nurses was limited or suspended owing to safety concerns. The short clinical placement durations affected the competence of newly qualified nurses, as they lacked exposure to real-world patient care scenarios as in non-pandemic times. Furthermore, our findings indicate that newly qualified nurses' clinical placement experiences provide important knowledge and insight for educators in terms of education and support for future student nurses going into situations with short clinical placement hours. The conclusion highlights the implications of the findings and recommendations and the need for further support and education for newly qualified nurses after the pandemic.

Study registration details

The study was approved by the Norwegian Social Data Service (project number 396247). The registration date was 2021-11-04.

Tweetable abstract

Transition-related challenges became more prominent during the coronavirus disease 2019 pandemic than during non-pandemic times.

Medication error and associated factors among adults admitted to emergency ward at the university of Gondar comprehensive specialized hospital, North-West Ethiopia: a cross-sectional study, 2022

BACKGROUND

Medication errors are the most common cause of preventable adverse drug events at the emergency ward.

OBJECTIVES

This study assessed medication errors and associated factors among adult patients admitted to the emergency ward at the University of Gondar Comprehensive Specialized Hospital, North-West Ethiopia.

METHODS

A cross-sectional study was conducted from June 1, 2022, to August 30, 2022. Data were entered into EpiData Manager 4.6.0.0 for clearing and exported to SPSS version 24 for analysis. Descriptive statistics such as frequencies, medians with an interquartile range and inferential statistics like binary logistic regression were used for data analysis. The level of significance was declared at a p value less than 0.05 with a 95% confidence interval.

RESULTS

From 422 study participants, medication errors were found in three-fourths (74.4%) of study participants. The most frequent type of medication error was omitted dose (26.27%). From a total of 491 medication errors, 97.75% were not prevented before reaching patients. More than one-third (38.9%) of medication errors had potentially moderate harmful outcomes. More than half (55.15%) of possible causes of medication errors committed by staff are due to behavioral factors. Physicians accepted 99.16% and nurses accepted 98.71% of clinical pharmacist intervention. Hospital stay ≥ 6 days (AOR: 3.00 95% CI 1.65-5.45, p < 0.001), polypharmacy (AOR: 5.47, 95% CI 2.77-10.81 p < 0.001), and Charlson comorbidity index ≥ 3 (AOR: 1.94, 95% CI (1.02-3.68), p < 0.04) significantly associated with medication error.

CONCLUSIONS

About three-fourths of adult patients admitted to the emergency ward experienced medication errors. A considerable amount of medication errors were potentially moderately harmful. Most medication errors were due to behavioral factors. Most clinical pharmacists' interventions were accepted by physicians and nurses. Patients who stayed longer at the emergency ward, had a Charlson comorbidity index value of ≥ 3, and were on polypharmacy were at high risk of medication error. The hospital should strive to reduce medication errors at the emergency ward.

Adverse Drug Reactions to Opioids: A Study in a National Pharmacovigilance Database

INTRODUCTION

Opioids are commonly used as analgesics; however, like any medicine, they can produce adverse drug reactions (ADRs), including nausea, constipation, dependence, and respiratory depression, that result in harmful and fatal events. Therefore, it is essential to monitor the safety of these drugs in clinical practice.

OBJECTIVE

This study aimed to characterize the safety profile of opioids by conducting a descriptive study based on a spontaneous reporting system (SRS) for ADRs in The Netherlands, focusing on abuse, misuse, medication errors, and differences between sexes.

METHODS

Reports submitted to the Netherlands Pharmacovigilance Centre Lareb from January 2003 to December 2021 with an opioid drug as the suspected/interacting medicine were analyzed. Reporting odds ratios (RORs) for drug-ADR combinations were calculated, analyzed, and corrected for sex and drug utilization (expenditure) for the Dutch population.

RESULTS

A total of 8769 reports were analyzed. Tramadol was the opioid with the most reports during the period (n = 2746), while oxycodone or tramadol had the highest number of reports per year in the study period. The most reported ADRs from opioid use were nausea, followed by dizziness and vomiting, independent of sex, and all of them were more often reported in women. Vomiting associated with tramadol (ROR females/males = 2.17) was significantly higher in women. Buprenorphine was responsible for most ADRs when corrected for expenditure, with high RORs observed with application site hypersensitivity, application site reaction, and application site rash. Fentanyl gave rise to most of the reports of ADRs concerning abuse, misuse, and medication errors.

CONCLUSION

Patients treated with opioids experienced ADRs, primarily nausea, dizziness, and vomiting. For those groups of drugs, no significant differences were found between the sexes, except for the vomiting associated with tramadol. In general, ADRs related to opioids presented higher RORs when uncorrected and corrected for sexes and expenditure than other drugs. There was more disproportionate reporting for ADRs concerning abuse, misuse, and medication errors for opioids than other drugs in the Dutch SRS.

Medication errors related to high-alert medications in a paediatric university hospital - a cross-sectional study analysing error reporting system data

BACKGROUND

Paediatric patients are prone to medication errors, and only a few studies have explored errors in high-alert medications in children. The present study aimed to investigate the prevalence and nature of medication errors involving high-alert medications and whether high-alert medications are more likely associated with severe patient harm and higher error risk classification compared to other drugs.

METHODS

This study was a cross-sectional report of self-reported medication errors in a paediatric university hospital in 2018-2020. Medication error reports involving high-alert medications were investigated by descriptive quantitative analysis to identify the prevalence of different drugs, Anatomical Therapeutic Chemical groups, administration routes, and the most severe medication errors. Crosstabulation and Pearson Chi-Square (χ2) tests were used to compare the likelihood of more severe consequences to the patient and higher error risk classification between medication errors involving high-alert medications and other drugs.

RESULTS

Among the reported errors (n = 2,132), approximately one-third (34.8%, n = 743) involved high-alert medications (n = 872). The most common Anatomical Therapeutic Chemical subgroups were blood substitutes and perfusion solutions (B05; n = 345/872, 40%), antineoplastic agents (L01; n = 139/872, 16%), and analgesics (N02; n = 98/872, 11%). The majority of high-alert medications were administered intravenously (n = 636/872, 73%). Moreover, IV preparations were administered via off-label routes (n = 52/872, 6%), such as oral, inhalation and intranasal routes. Any degree of harm (minor, moderate or severe) to the patient and the highest risk classifications (IV-V) were more likely to be associated with medication errors involving high-alert medications (n = 743) when compared to reports involving other drugs (n = 1,389).

CONCLUSIONS

Preventive risk management should be targeted on high-alert medications in paediatric hospital settings. In these actions, the use of intravenous drugs, such as parenteral nutrition, concentrated electrolytes, analgesics and antineoplastic agents, and off-label use of medications should be prioritised. Further research on the root causes of medication errors involving high-alert medications and the effectiveness of safeguards is warranted.

A 10-Year Retrospective Analysis of Medication Errors among Adult Patients: Characteristics and Outcomes

Medication errors (MEs) are a global health problem. We conducted this study to clarify the clinical characteristics, outcomes, and factors associated with MEs that caused harm to adult patients (>15 years of age) who were managed in hospitals or healthcare facilities. We performed a 10-year retrospective study (2011-2020) by analyzing data from the Ramathibodi Poison Center (RPC) database (RPC Toxic Exposure Surveillance System). There were a total of 112 patients included in this study. Most were women (59.8%) and had underlying diseases (53.6%). The mean patient age was 50.5 years. Most MEs occurred during the afternoon shift (51.8%) and in the outpatient department (65.2%). The most common type of ME was a dose error (40.2%). Local anesthetic was the most common class of ME-related drug. Five patients died due to MEs. We analyzed the factors associated with MEs that caused patient harm, including death (categories E-I). The presence of underlying diseases was the single factor that was statistically significantly different between groups. Clinical characteristics showed no significant difference between patients aged 15-65 years and those aged >65 years. In conclusion, our findings emphasized that MEs can cause harm and even death in some adult patients. Local anesthetics were the most commonly involved in MEs. Having an underlying disease might contribute to severe consequences from MEs. Preventive measures and safety systems must be highlighted and applied to prevent or minimize the occurrence of MEs.

Do junior doctors make more prescribing errors than experienced doctors when prescribing electronically using a computerised physician order entry system combined with a clinical decision support system? A cross-sectional study

OBJECTIVES

Prescribing errors can lead to inconvenience, morbidity and mortality. It is therefore crucial to educate doctors to prescribe safely, efficiently and effectively. To create an effective educational programme, it is essential to understand which errors are made and by whom. The aim of this study is to explore if the experience level of the doctor influences how many and which prescribing errors are made in a European academic teaching hospital, where a computerised physician order entry system (CPOE) with a clinical decision support system (CDSS) is exclusively used.

METHODS

Prescriptions for all inpatients in an academic teaching hospital were collected in June 2021. All prescriptions with an alert generated by the CDSS which could not be handled by a pharmacy technician according to local protocol were checked for errors. Identified errors were categorised by type and severity.

RESULTS

A total of 130 538 prescriptions were newly made or altered by doctors. Of these prescriptions, 1914 (1.5%) were retained for a check by the pharmacist. These contained 430 prescribing errors (0.3% of total prescriptions). Doctors not in specialty training and those in specialty training made more prescribing errors than consultants (0.5% and 0.5% vs 0.1%; p<0.001). Doctors in specialty training made relatively more drug-drug interaction errors than consultants (n=31 (16%) vs n=3 (3%), p<0.05). No significant difference was found regarding the severity of the errors.

CONCLUSIONS

Doctors not in specialty training and doctors in specialty training, who are the less experienced doctors, make more prescribing errors than consultants, even with the use of a CPOE combined with CDSS. The type of errors differ between doctors of different experience levels. This finding provides a solid basis for specific additional education to medical students, doctors not in specialty training and doctors in specialty training.

Closed-Loop Medication Management with an Electronic Health Record System in U.S. and Finnish Hospitals

Many medication errors in the hospital setting are due to manual, error-prone processes in the medication management system. Closed-loop Electronic Medication Management Systems (EMMSs) use technology to prevent medication errors by replacing manual steps with automated, electronic ones. As Finnish Helsinki University Hospital (HUS) establishes its first closed-loop EMMS with the new Epic-based Electronic Health Record system (APOTTI), it is helpful to consider the history of a more mature system: that of the United States. The U.S. approach evolved over time under unique policy, economic, and legal circumstances. Closed-loop EMMSs have arrived in many U.S. hospital locations, with myriad market-by-market manifestations typical of the U.S. healthcare system. This review describes and compares U.S. and Finnish hospitals' EMMS approaches and their impact on medication workflows and safety. Specifically, commonalities and nuanced differences in closed-loop EMMSs are explored from the perspectives of the care/nursing unit and hospital pharmacy operations perspectives. As the technologies are now fully implemented and destined for evolution in both countries, perhaps closed-loop EMMSs can be a topic of continued collaboration between the two countries. This review can also be used for benchmarking in other countries developing closed-loop EMMSs.

Applicability of drug-related problem (DRP) classification system for classifying severe medication errors

BACKGROUND

Several classification systems for medication errors (MEs) have been established over time, but none of them apply optimally for classifying severe MEs. In severe MEs, recognizing the causes of the error is essential for error prevention and risk management. Therefore, this study focuses on exploring the applicability of a cause-based DRP classification system for classifying severe MEs and their causes.

METHODS

This was a retrospective document analysis study on medication-related complaints and authoritative statements investigated by the Finnish National Supervisory Authority for Welfare and Health (Valvira) in 2013-2017. The data was classified by applying a previously developed aggregated DRP classification system by Basger et al. Error setting and harm to the patient were identified using qualitative content analysis to describe the characteristics of the MEs in the data. The systems approach to human error, error prevention, and risk management was used as a theoretical framework.

RESULTS

Fifty-eight of the complaints and authoritative statements concerned MEs, which had occurred in a wide range of social and healthcare settings. More than half of the ME cases (52%, n = 30) had caused the patient's death or severe harm. In total, 100 MEs were identified from the ME case reports. In 53% (n = 31) of the cases, more than one ME was identified, and the mean number of MEs identified was 1.7 per case. It was possible to classify all MEs according to aggregated DRP system, and only a small proportion (8%, n = 8) were classified in the category "Other," indicating that the cause of the ME could not be classified to specific cause-based category. MEs in the "Other" category included dispensing errors, documenting errors, prescribing error, and a near miss.

CONCLUSIONS

Our study provides promising preliminary results for using DRP classification system for classifying and analyzing especially severe MEs. With Basger et al.'s aggregated DRP classification system, we were able to categorize both the ME and its cause. More research is encouraged with other ME incident data from different reporting systems to confirm our results.

Contributory factors and patient harm including deaths associated direct acting oral anticoagulants (DOACs) medication incidents: evaluation of real world data reported to the National Reporting and Learning System

INTRODUCTION

Direct oral anticoagulants (DOACs) are considered high risk medicines and are frequently associated with medication errors. The nature of incidents and associated outcomes of such incidents are poorly understood.

AREAS COVERED

Using a national patient safety reporting database, the National Reporting and Learning System (NRLS), this study aimed to report the contributory factors and outcomes including severe harm and deaths related to all safety incidents involving DOACs reported in England and Wales between 2017-2019. Reason's accident causation model was used to classify the incidents.

EXPERT OPINION

A total of 15,730 incident reports were analyzed. A total of 25 deaths were reported with a further 270 and 55 incidents leading to moderate and severe harm, respectively. A further 8.8% (n = 1381) of incidents were associated with low degree of harm. The majority of the incidents involved active failures (n = 13776; 87.58) including duplication of anticoagulant therapies, patients being discharged without DOACs, non-consideration of renal function, and lack of commencement of DOACs post-surgery suggesting preventability of such reported incidents. This study shows that medication incidents involving DOACs have the potential to cause severe harm and deaths, and there is a need to promote guideline adherence through education, training, and decision support technologies.

Patients' views and experiences on the use and safety of directly acting oral anticoagulants: a qualitative study

BACKGROUND

Direct oral anticoagulants (DOACs) are considered high-risk medications and used to prevent thromboembolic events and stroke. This study aimed to examine patients' views and experiences of DOACs use and factors that can promote safety associated with DOACs.

METHODS

In-depth interviews were conducted with adult patients who had been prescribed DOACs, identified and invited by local collaborators in three different tertiary care hospitals in Saudi Arabia. A topic guide developed based on was used to inform the interview. Data were analysed thematically.

RESULTS

Data saturation was achieved by the ninth participants. Three major themes were identified: (1) factors affecting DOAC's safety from the patients view; (2) barriers to adherence to DOACs and (3) strategies to promote the safety of DOACs. Lack of knowledge of DOACs, using inappropriate sources of information, lack of communication with HCPs, difficulty in having access to DOACs and lack of monitoring were the main factors affecting the safe use of DOACs. Unavailability of the drugs and difficulty in timely getting to hospitals affected adherence. Patients acknowledged difficulties communicating with healthcare professionals, timely access to anticoagulation clinics and in obtaining their DOACs on time.

CONCLUSIONS

There is a need to develop and evaluate theory-based interventions to promote patient knowledge, understanding and shared decision-making to optimise DOACs use and improve their safety.

Predicting behavioural intentions towards medication safety among student and new graduate nurses across four countries

AIMS AND OBJECTIVES

To identify final-year undergraduate students and new graduate nurses' behavioural intentions towards medication safety across four countries.

BACKGROUND

Medication errors are a common and avoidable occurrence, being costly for not only patients but also for health systems and society.

DESIGN

A multi-site cross-sectional study.

METHODS

A self-administered survey was distributed to students and new graduate nurses in South Africa, India, Turkey and Australia. Descriptive statistics were calculated for all survey items. Multiple linear regressions were performed to predict behavioural intentions using the three Theory of Planned Behaviour constructs: attitudes, behavioural control and subjective norms. This study adheres to the STROBE guidelines.

RESULTS

Data were analysed for 432 students and 576 new graduate nurses. Across all countries, new graduate nurses reported significantly higher scores on all the TPB variables compared with student nurses. Attitudes towards medication management were found significantly and positively related to intention to practice safe medication management for both student and new graduate nurses. Total perceived behavioural control was significantly and negatively related to intention to practice safe medication management for students.

CONCLUSION

Student and new graduate nurses showed favourable attitude, subjective norm, perceived behaviour control and intention in practising medication safety. However, differences in countries require further exploration on the factors influencing attitudes towards medication safety among student nurses and new nurse graduates.

RELEVANCE TO CLINICAL PRACTICE

Understanding student and new graduate nurses' medication administration practices is important to inform strategies aimed at improving patient safety. The findings of this study highlight the need for an internationally coordinated approach to ensure safe medication administration by student and new graduate nurses.

Occurrence and types of medication error and its associated factors in a reference teaching hospital in northeastern Iran: a retrospective study of medical records

BACKGROUND

Medication errors are categorized among the most common medical errors that may lead to irreparable damages to patients and impose huge costs on the health system. A correct understanding of the prevalence of medication errors and the factors affecting their occurrence is indispensable to prevent such errors. The purpose of this study was to investigate the prevalence and types of medication errors among nurses in a hospital in northeastern Iran.

METHODS

The present descriptive-analytical research was conducted on 147 medical records of patients admitted to the Department of Internal Medicine at a hospital in northeastern Iran in 2019, selected by systematic sampling. The data were collected through a researcher-made checklist containing the demographic profiles of the nurses, the number of doctor's orders, the number of medication errors and the type of medication error, and were finally analyzed using STATA version 11 software at a significance level of 0.05.

RESULTS

Based on the findings of this study, the mean prevalence of medication error per each medical case was 2.42. Giving non-prescription medicine (47.8%) was the highest and using the wrong form of the drug (3.9%) was the lowest medication error. In addition, there was no statistically significant relationship between medication error and the age, gender and marital status of nurses (p > 0.05), while the prevalence of medication error in corporate nurses was 1.76 times higher than that of nurses with permanent employment status (IRR = 1.76, p = 0.009). The prevalence of medication error in the morning shift (IRR = 0.65, p = 0.001) and evening shift (IRR = 0.69, p = 0.011) was significantly lower than that in the night shift.

CONCLUSION

Estimating the prevalence and types of medication errors and identified risk factors allows for more targeted interventions. According to the findings of the study, training nurses, adopting an evidence-based care approach and creating interaction and coordination between nurses and pharmacists in the hospital can play an effective role in reducing the medication error of nurses. However, further research is needed to evaluate the effectiveness of interventions to reduce the prevalence of medication errors.

Implementation of Health Information Systems to Improve Patient Identification

Wellbeing can be ensured in society through quality healthcare, a minimum of medical errors, and the improved performance of healthcare professionals. To this end, health information systems have been implemented in hospitals, with this implementation representing progress in medicine and information technologies. As a result, life expectancy has significantly increased, standards in healthcare have been raised, and public health has improved. This progress is influenced by the process of managing healthcare organizations and information systems. While hospitals tend to adapt health information systems to reduce errors related to patient misidentification, the rise in the occurrence and recording of medical errors in Lebanon resulting from failures to correctly identify patients reveals that such measures remain insufficient due to unknown factors. This research aimed to investigate the effect of health information systems (HISs) and other factors related to work-related conditions on reductions in patient misidentification and related consequences. The empirical data were collected from 109 employees in Neioumazloum Hospital in Lebanon. The results revealed a correlation between HISs and components and the effects of other factors on patient identification. These other factors included workload, nurse fatigue, a culture of patient safety, and lack of implementation of patient identification policies. This paper provides evidence from a Lebanese hospital and paves the way for further studies aiming to explore the role of information technologies in adopting HISs for work performance and patient satisfaction. Improved care for patients can help achieve health equality, enhance healthcare delivery performance and patient safety, and decrease the numbers of medical errors.

Implementing a New Electronic Health Record System in a University Hospital: The Effect on Reported Medication Errors

Closed-loop electronic medication management systems (EMMS) have been seen as a potential technology to prevent medication errors (MEs), although the research on them is still limited. The aim of this paper was to describe the changes in reported MEs in Helsinki University Hospital (HUS) during and after implementing an EPIC-based electronic health record system (APOTTI), with the first features of a closed-loop EMMS. MEs reported from January 2018 to May 2021 were analysed to identify changes in ME trends with quantitative analysis. Severe MEs were also analysed via qualitative content analysis. A total of 30% (n = 23,492/79,272) of all reported patient safety incidents were MEs. Implementation phases momentarily increased the ME reporting, which soon decreased back to the earlier level. Administration and dispensing errors decreased, but medication reconciliation, ordering, and prescribing errors increased. The ranking of the TOP 10 medications related to MEs remained relatively stable. There were 92 severe MEs related to APOTTI (43% of all severe MEs). The majority of these (55%, n = 53) were related to use and user skills, 24% (n = 23) were technical failures and flaws, and 21% (n = 21) were related to both. Using EMMS required major changes in the medication process and new technical systems and technology. Our medication-use process is approaching a closed-loop system, which seems to provide safer dispensing and administration of medications. However, medication reconciliation, ordering, and prescribing still need to be improved.

Medication errors in neonatal intensive care units: a multicenter qualitative study in the Palestinian practice

Background

Neonatal intensive care units are high-risk settings where medication errors can occur and cause harm to this fragile segment of patients. This multicenter qualitative study was conducted to describe medication errors that occurred in neonatal intensive care units in Palestine from the perspectives of healthcare providers.

Methods

This exploratory multicenter qualitative study was conducted and reported in adherence to the consolidated criteria for reporting qualitative research checklist. Semi-structured in-depth interviews were conducted with healthcare professionals (4 pediatricians/neonatologists and 11 intensive care unit nurses) who provided care services for patients admitted to neonatal intensive care units in Palestine. An interview schedule guided the semi-structured in-depth interviews. The qualitative interpretive description approach was used to thematically analyze the data.

Results

The total duration of the interviews was 282 min. The healthcare providers described their experiences with 41 different medication errors. These medication errors were categorized under 3 categories and 10 subcategories. Errors that occurred while preparing/diluting/storing medications were related to calculations, using a wrong solvent/diluent, dilution errors, failure to adhere to guidelines while preparing the medication, failure to adhere to storage/packaging guidelines, and failure to adhere to labeling guidelines. Errors that occurred while prescribing/administering medications were related to inappropriate medication for the neonate, using a different administration technique from the one that was intended, and administering a different dose from the one that was intended. Errors that occurred after administering the medications were related to failure to adhere to monitoring guidelines.

Conclusion

In this multicenter study, pediatricians/neonatologists and neonatal intensive care unit nurses described medication errors occurring in intensive care units in Palestine. Medication errors occurred in different stages of the medication process: preparation/dilution/storage, prescription/administration, and monitoring. Further studies are still needed to quantify medication errors occurring in the neonatal intensive care units and investigate if the designed strategies could be effective in minimizing the medication errors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12887-022-03379-y.

A randomized controlled trial for evaluating the impact of integrating a computerized clinical decision support system and a socially assistive humanoid robot into grand rounds during pre/post-operative care

Although clinical decision support systems (CDSSs) are increasingly emphasized as one of the possible levers for improving care, they are still not widely used due to different barriers, such as doubts about systems’ performance, their complexity and poor design, practitioners’ lack of time to use them, poor computer skills, reluctance to use them in front of patients, and deficient integration into existing workflows. While several studies on CDSS exist, there is a need for additional high-quality studies using large samples and examining the differences between outcomes following a decision based on CDSS support and those following decisions without this kind of information. Even less is known about the effectiveness of a CDSS that is delivered during a grand round routine and with the help of socially assistive humanoid robots (SAHRs). In this study, 200 patients will be randomized into a Control Group (i.e. standard care) and an Intervention Group (i.e. standard care and novel CDSS delivered via a SAHR). Health care quality and Quality of Life measures will be compared between the two groups. Additionally, approximately 22 clinicians, who are also active researchers at the University Clinical Center Maribor, will evaluate the acceptability and clinical usability of the system. The results of the proposed study will provide high-quality evidence on the effectiveness of CDSS systems and SAHR in the grand round routine.

Medication dose calculation errors and other numeracy mishaps in hospitals: Analysis of the nature and enablers of incident reports

AIMS

To investigate medication dose calculation errors and other numeracy mishaps in hospitals and examine mechanisms and enablers which lead to such errors.

DESIGN

A retrospective study using descriptive statistics and thematic analysis of the nature and enablers of reported incidents.

METHODS

Medication dose calculation errors and other numeracy mishaps were identified from medication-related incidents reported to the Norwegian Incident Reporting System in 2016 and 2017. The main outcome measures were medications and medication classes involved, severity of harm, outcome, and error enablers.

RESULTS

In total, we identified 100 numeracy errors, of which most involved intravenous administration route (n = 70). Analgesics were the most commonly reported drug class and morphine was the most common individual medication. Overall, 78 incidents described patient harm. Frequent mechanisms were 10- or 100-fold errors, mixing up units, and incorrect strength/rate entered into infusion pumps. The most frequent error enablers were: double check omitted or deviated (n = 40), lack of safety barriers to intercept prescribing errors (n = 25), and emergency/stress (n = 21).

CONCLUSION

Numeracy errors due to lack of or improper safeguards occurred during all medication management stages. Dose miscalculation after dilution of intravenous solutions, infusion pump programming, and double-checking were identified as unsafe practices. We discuss measures to prevent future calculation and numeracy errors.

IMPACT

Our analysis of medication dose calculation errors and other numeracy mishaps demonstrates the need for improving safety steps and increase standardization for medication management procedures. We discuss organizational, technological, and educational measures to prevent harm from numeracy errors.

Associations of person-related, environment-related and communication-related factors on medication errors in public and private hospitals: a retrospective clinical audit

BACKGROUND

Efforts to ensure safe and optimal medication management are crucial in reducing the prevalence of medication errors. The aim of this study was to determine the associations of person-related, environment-related and communication-related factors on the severity of medication errors occurring in two health services.

METHODS

A retrospective clinical audit of medication errors was undertaken over an 18-month period at two Australian health services comprising 16 hospitals. Descriptive statistical analysis, and univariate and multivariable regression analysis were undertaken.

RESULTS

There were 11,540 medication errors reported to the online facility of both health services. Medication errors caused by doctors (Odds Ratio (OR) 0.690, 95% CI 0.618-0.771), or by pharmacists (OR 0.327, 95% CI 0.267-0.401), or by patients or families (OR 0.641, 95% CI 0.472-0.870) compared to those caused by nurses or midwives were significantly associated with reduced odds of possibly or probably harmful medication errors. The presence of double-checking of medication orders compared to single-checking (OR 0.905, 95% CI 0.826-0.991) was significantly associated with reduced odds of possibly or probably harmful medication errors. The presence of electronic systems for prescribing (OR 0.580, 95% CI 0.480-0.705) and dispensing (OR 0.350, 95% CI 0.199-0.618) were significantly associated with reduced odds of possibly or probably harmful medication errors compared to the absence of these systems. Conversely, insufficient counselling of patients (OR 3.511, 95% CI 2.512-4.908), movement across transitions of care (OR 1.461, 95% CI 1.190-1.793), presence of interruptions (OR 1.432, 95% CI 1.012-2.027), presence of covering personnel (OR 1.490, 95% 1.113-1.995), misread or unread orders (OR 2.411, 95% CI 2.162-2.690), informal bedside conversations (OR 1.221, 95% CI 1.085-1.373), and problems with clinical handovers (OR 1.559, 95% CI 1.136-2.139) were associated with increased odds of medication errors causing possible or probable harm. Patients or families were involved in the detection of 1100 (9.5%) medication errors.

CONCLUSIONS

Patients and families need to be engaged in discussions about medications, and health professionals need to provide teachable opportunities during bedside conversations, admission and discharge consultations, and medication administration activities. Patient counselling needs to be more targeted in effort to reduce medication errors associated with possible or probable harm.

Perceptions of Patient Safety Culture and Medication Error Reporting among Early- and Mid-Career Female Nurses in South Korea

Reporting medication errors is crucial for improving quality of care and patient safety in acute care settings. To date, little is known about how reporting varies between early and mid-career nurses. Thus, this study used a cross-sectional, secondary data analysis design to investigate the differences between early (under the age of 35) and mid-career (ages 35-54) female nurses by examining their perceptions of patient safety culture using the Korean Hospital Survey on Patient Safety Culture (HSPSC) and single-item self-report measure of medication error reporting. A total of 311 hospital nurses (260 early-career and 51 mid-career nurses) completed questionnaires on perceived patient safety culture and medication error reporting. Early-career nurses had lower levels of perception regarding patient safety culture (p = 0.034) compared to mid-career nurses. A multiple logistic regression analysis showed that relatively short clinical experience (<3 years) and a higher level of perceived patient safety culture increased the rate of appropriate medication error reporting among early-career nurses. However, there was no significant association between perception of patient safety culture and medication error reporting among mid-career nurses. Future studies should investigate the role of positive perception of patient safety culture on reporting errors considering multidimensional aspects, and include hospital contextual factors among early-, mid-, and late-career nurses.