Economic impact of medication error: a systematic review

Medication errors in emergency departments: a systematic review and meta-analysis of prevalence and severity

BACKGROUND

Medication errors significantly compromise patient safety in emergency departments. Although previous studies have investigated the prevalence of these errors in this setting, results have varied widely.

AIM

The aim was to report pooled data on the prevalence and severity of medication errors in emergency departments, as well as the proportion of patients affected by these errors.

METHOD

Systematic searches were conducted in Embase, PubMed, and the Cochrane Library from database inception until June 2023. Studies provided numerical data on medication errors within emergency departments were eligible for inclusion. Random-effects meta-analysis was employed to pool the prevalence of medication errors, the proportion of patients experiencing these errors, and the error severity levels. Heterogeneity among studies was assessed using the I2 statistic and Cochran's Q test.

RESULTS

Twenty-four studies met the inclusion criteria. The meta-analysis gave a pooled prevalence of medication errors in emergency departments of 22.6% (95% Confidence Interval [CI] 19.2-25.9%, I2 = 99.9%, p < 0.001). The estimated proportion of patients experiencing medication errors was 36.3% (95% CI 28.3-44.3%, I2 = 99.8%, p < 0.001). Of these errors, 42.6% (95% CI 5.0-80.1%) were potentially harmful but not life-threatening, while no-harm errors accounted for 57.3% (95% CI 14.1-100.0%).

CONCLUSION

The prevalence of medication errors, particularly those potentially harmful, underscores potential safety issues in emergency departments. It is imperative to develop and implement effective interventions aimed at reducing medication errors and enhancing patient safety in this setting.

Cost savings from medication reviews in community pharmacies for nursing home residents in Estonia: a case study

BACKGROUND

The aim of this study is to assess the cost savings from medication reviews conducted for individuals living in nursing homes in Estonia. Medication reviews performed as part of the automated dose dispensing (ADD) service by community pharmacies might help identify suboptimal medicine regimens.

METHODS

We use a case study approach to identify suboptimal use of medication in treatment plans and estimate the potential cost saving from medication reviews. To achieve this, we assess 101 treatment plans submitted for medication review by nursing homes in Estonia between 2021 and 2023. Additionally, we run OLS regressions to identify the most important determinants of medication cost savings.

RESULTS

We estimate an average direct cost saving of €43.62 per patient per year, which corresponds to 8.27% of the average annual medication costs. If medication reviews were conducted for all elderly individuals over 75 years old who use six or more prescription medicines, nearly 2% of Estonia's pharmaceutical budget could be saved. Regression analysis indicates that the most significant contributors to these cost savings are suboptimal use of generics, incorrect dosages (too high), and the elimination of incorrect medications.

CONCLUSIONS

Our study suggests that annual medication reviews conducted as part of the ADD service might help reduce medication expenditure when offered to a wider public.

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.

Epidemiological Aspects and Pattern of Intoxication among Elderly in Khorasan-Razavi; Northeast of Iran

This study aimed to assess the risk factors and clinical-epidemiological patterns of acute poisoning among elderly individuals to guide prevention strategies. The epidemiological, clinical data, manner and cause of poisoning, and outcome of the registered elder cases (≥ 60 years old) in the clinical toxicology department of Imam Reza Hospital of Mashhad University of Medical Silences (CTD-IRH-MUMS) were investigated for nine months. The sex and age distribution of the patients were compared with the general population of Khorasan-Razavi using direct standardization. Among the 3064 cases registered at the hospital, 124 elderly patients were included in the study. The majority (71.8%) were male, with a mean age of 69.47. Male gender was found to be a significant risk factor for poisoning among elderly individuals compared to the general population (OR = 2.62) (1.55-4.42) (p-value < 0.001), however, it was not significant for age. Substance dependency, particularly on opiates, was common among the patients (56.5%), with a higher prevalence in males. Substance overdose (35.4%) and suicide (23.3%) were the most common methods of poisoning, with varying frequencies between genders (p-value = 0.002). Male gender was identified as a risk factor for opiate intoxication (OR = 4.68, CI = 1.70-11.83, p-value < 0.05) but not for suicide attempts. The average hospital stay duration was similar between male and female patients. The mean length of hospital stay was 3.53 ± 4.02 days (median = 3.0, range = 0.5-26 days) and was similar in both sexes. In conclusion, male gender and opiate dependency were highlighted as key factors in the poisoning of elderly individuals. These findings emphasize the importance of addressing these factors in preventive measures.

Characteristics and causes of reported clozapine-related medication errors: analysis of the Ministry of Health database in Saudi Arabia

BACKGROUND

Clozapine has shown great efficacy in treating treatment-resistant schizophrenia, but it is associated with a variety of medication- related safety problems. Despite this, there remains a lack of research on medication errors (MEs) associated with its use.

AIM

To characterize the nature and contributory factors of clozapine-related MEs reported from government hospitals and primary care centres in Saudi Arabia (SA).

METHOD

A cross-sectional analysis was carried out on MEs related to clozapine use reported to the General Administration of Pharmaceutical Care at the Ministry of Health (MOH) in Saudi Arabia between 2018 and 2022. The data were analysed descriptively to examine the nature and contributory factors of MEs.

RESULTS

A total of 1,165 MEs were reported. The majority of reported errors involved patients aged > 18 years old, with 72.2% (n = 841) being male. The central region was found to report errors more frequently (32.3%, n = 376). Pharmacists were reported to detect errors most frequently (59.6%, n = 695). MEs most often occurred in the prescribing stage (77.8%, n = 906), with "missing prescription information" (30.1%, n = 351) being the most frequent finding. The most frequent contributing factor was the lack of policy (33.1%, n = 351). The majority of errors did not reach the patients (92.3%, n = 1,075), and those that did reach patients rarely resulted in harm (0.3%, n = 2).

CONCLUSION

This study identified areas for improvement which could expedite the development of remedial interventions to reduce the risk of errors.

Reducing insulin omission errors among patients with diabetes mellitus in general surgical wards: a best practice implementation project

INTRODUCTION AND OBJECTIVES

Omission of insulin, a high-alert medication with one of the highest locally reported errors, could lead to severe hyperglycemia, which could result in coma or death if not treated timeously. This study aimed to identify, evaluate, and implement strategies to reduce the occurrence of insulin omission errors in diabetic adult patients requiring insulin.

METHODS

This project followed the JBI Evidence Implementation Framework and conducted context analysis, strategy implementation, and evaluation of outcomes according to evidence-based quality indicators. The JBI PACES and JBI GRiP situational analysis tools were used to support data collection and implementation planning. There was one evidence-based criterion and five sub-criteria, with a sample size of 22 patients.

RESULTS

There was increased compliance with best practices to reduce interruptions and distractions from baseline audit (50%) to follow-up audits 1 (45.4%) and 2 (31.8%), and no insulin omission incidences during the implementation period. In the post-implementation analysis, there were notable improvements in compliance with strategies related to nurses; however, reduced compliance was observed related to patients. Key barriers to implementation included patients still disturbing nurses despite the nurses wearing the medication vests and patients forgetting instructions not to disturb nurses during medication administration. Strategies to improve compliance included ensuring coverage in each cubicle during insulin preparation and administration, tending to patients' needs prior to insulin administration, and use of posters as reminders.

CONCLUSIONS

There was an overall increase in compliance with best practice to reduce interruptions and distractions and no insulin omission incidences related to interruptions and distractions during the implementation phase.

SPANISH ABSTRACT

http://links.lww.com/IJEBH/A219.

How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review

BACKGROUND

Medication errors and associated adverse drug events (ADE) are a major cause of morbidity and mortality worldwide. In recent years, the prevention of medication errors has become a high priority in healthcare systems. In order to improve medication safety, computerized Clinical Decision Support Systems (CDSS) are increasingly being integrated into the medication process. Accordingly, a growing number of studies have investigated the medication safety-related effectiveness of CDSS. However, the outcome measures used are heterogeneous, leading to unclear evidence. The primary aim of this study is to summarize and categorize the outcomes used in interventional studies evaluating the effects of CDSS on medication safety in primary and long-term care.

METHODS

We systematically searched PubMed, Embase, CINAHL, and Cochrane Library for interventional studies evaluating the effects of CDSS targeting medication safety and patient-related outcomes. We extracted methodological characteristics, outcomes and empirical findings from the included studies. Outcomes were assigned to three main categories: process-related, harm-related, and cost-related. Risk of bias was assessed using the Evidence Project risk of bias tool.

RESULTS

Thirty-two studies met the inclusion criteria. Almost all studies (n = 31) used process-related outcomes, followed by harm-related outcomes (n = 11). Only three studies used cost-related outcomes. Most studies used outcomes from only one category and no study used outcomes from all three categories. The definition and operationalization of outcomes varied widely between the included studies, even within outcome categories. Overall, evidence on CDSS effectiveness was mixed. A significant intervention effect was demonstrated by nine of fifteen studies with process-related primary outcomes (60%) but only one out of five studies with harm-related primary outcomes (20%). The included studies faced a number of methodological problems that limit the comparability and generalizability of their results.

CONCLUSIONS

Evidence on the effectiveness of CDSS is currently inconclusive due in part to inconsistent outcome definitions and methodological problems in the literature. Additional high-quality studies are therefore needed to provide a comprehensive account of CDSS effectiveness. These studies should follow established methodological guidelines and recommendations and use a comprehensive set of harm-, process- and cost-related outcomes with agreed-upon and consistent definitions.

PROSPERO REGISTRATION

CRD42023464746.

Developing a process to measure actual harm from medication errors in paediatric inpatients: From design to implementation

AIMS

The potential harm associated with medication errors is widely reported, but data on actual harm are limited. When actual harm has been measured, assessment processes are often poorly described, limiting their ability to be reproduced by other studies. Our aim was to design and implement a new process to assess actual harm resulting from medication errors in paediatric inpatient care.

METHODS

Prescribing errors were identified through retrospective medical record reviews (n = 26 369 orders) and medication administration errors through direct observation (n = 5137 administrations) in a tertiary paediatric hospital. All errors were assigned potential harm severity ratings on a 5-point scale. Multidisciplinary panels reviewed case studies for patients assigned the highest three potential severity ratings and determined the following: actual harm occurrence and severity level, plausibility of a link between the error(s) and identified harm(s) and a confidence rating if no harm had occurred.

RESULTS

Multidisciplinary harm panels (n = 28) reviewed 566 case studies (173 prescribing related and 393 administration related) and found evidence of actual harm in 89 (prescribing = 22, administration = 67). Eight cases of serious harm cases were found (prescribing = 1, administration = 7) and no cases of severe harm. The panels were very confident in 65% of cases (n = 302) where no harm was found. Potential and actual harm ratings varied.

CONCLUSIONS

This harm assessment process provides a systematic method for determining actual harm from medication errors. The multidisciplinary nature of the panels was critical in evaluating specific clinical, therapeutic and contextual considerations including care delivery pathways, therapeutic dose ranges and drug-drug and drug-disease interactions.

Intervention for a correct medication list and medication use in older adults: a non-randomised feasibility study among inpatients and residents during care transitions

BACKGROUND

Medication discrepancies in care transitions and medication non-adherence are problematic. Few interventions consider the entire process, from the hospital to the patient's medication use at home.

AIM

In preparation for randomised controlled trials (RCTs), this study aimed (1) to investigate the feasibility of recruitment and retention of patients, and data collection to reduce medication discrepancies at discharge and improve medication adherence, and (2) to explore the outcomes of the interventions.

METHOD

Participants were recruited from a hospital and a residential area. Hospital patients participated in a pharmacist-led intervention to establish a correct medication list upon discharge and a follow-up interview two weeks post-discharge. All participants received a person-centred adherence intervention for three to six months. Discrepancies in the medication lists, the Beliefs about Medicines Questionnaire (BMQ-S), and the Medication Adherence Report Scale (MARS-5) were assessed.

RESULTS

Of 87 asked to participate, 35 were included, and 12 completed the study. Identifying discrepancies, discussing discrepancies with physicians, and performing follow-up interviews were possible. Conducting the adherence intervention was also possible using individual health plans for medication use. Among the seven hospital patients, 24 discrepancies were found. Discharging physicians agreed that all discrepancies were errors, but only ten were corrected in the discharge information. Ten participants decreased their total BMQ-S concern scores, and seven increased their total MARS-5 scores.

CONCLUSION

Based on this study, conducting the two RCTs separately may increase the inclusion rate. Data collection was feasible. Both interventions were feasible in many aspects but need to be optimised in upcoming RCTs.

Prevalence and factors associated with medication administration errors in the neonatal intensive care unit: A multicentre, nationwide direct observational study

AIM(S)

To determine the prevalence of medication administration errors and identify factors associated with medication administration errors among neonates in the neonatal intensive care units.

DESIGN

Prospective direct observational study.

METHODS

The study was conducted in the neonatal intensive care units of five public hospitals in Malaysia from April 2022 to March 2023. The preparation and administration of medications were observed using a standardized data collection form followed by chart review. After data collection, error identification was independently performed by two clinical pharmacists. Multivariable logistic regression was used to identify factors associated with medication administration errors.

RESULTS

A total of 743 out of 1093 observed doses had at least one error, affecting 92.4% (157/170) neonates. The rate of medication administration errors was 68.0%. The top three most frequently occurring types of medication administration errors were wrong rate of administration (21.2%), wrong drug preparation (17.9%) and wrong dose (17.0%). Factors significantly associated with medication administration errors were medications administered intravenously, unavailability of a protocol, the number of prescribed medications, nursing experience, non-ventilated neonates and gestational age in weeks.

CONCLUSION

Medication administration errors among neonates in the neonatal intensive care units are still common. The intravenous route of administration, absence of a protocol, younger gestational age, non-ventilated neonates, higher number of medications prescribed and increased years of nursing experience were significantly associated with medication administration errors.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

The findings of this study will enable the implementation of effective and sustainable interventions to target the factors identified in reducing medication administration errors among neonates in the neonatal intensive care unit.

REPORTING METHOD

We adhered to the STROBE checklist.

PATIENT OR PUBLIC CONTRIBUTION

An expert panel consisting of healthcare professionals was involved in the identification of independent variables.

Calculating the cost of medication errors: A systematic review of approaches and cost variables

INTRODUCTION

Medication errors are an unnecessary cost to a healthcare system and patients of a country. This review aimed to systematically identify published cost variables used to calculate the cost of medication errors and to explore any updates on findings already known on calculating the cost of medication errors during the past 10 years.

METHODS

A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Electronic databases, PubMed, Scopus, Emerald and JSTOR were searched, using keywords "medication error" AND "cost" and predetermined inclusion criteria. Duplicate articles were removed. Quality check was done using 10 criteria. Cost variables used in calculating the cost of medication errors were extracted from each article.

RESULTS

Among 3088 articles, 33 articles were selected for review. Most studies were conducted in Western countries. Cost variables used (types and number) by different studies varied widely. Most studies (N=29) had used direct costs only. A few studies (N=4) had used both direct and indirect costs for the purpose. Perspectives considered when calculating cost of medication errors also varied widely. A total of 35 variables used to calculate medication error costs were extracted from selected articles.

CONCLUSION

Variables used to calculate the cost of medication errors were not uniform across studies. Almost a decade after systematic reviews previously reporting on this area, a validated methodology to calculate the cost of medication errors has still not been reported to date and highlights the still pending necessity of a standard method to be established.

Relationship between staff and quality of care in care homes: StaRQ mixed methods study

Background

Quality of life and care varies between and within the care homes in which almost half a million older people live and over half a million direct care staff (registered nurses and care assistants) work. The reasons are complex, understudied and sometimes oversimplified, but staff and their work are a significant influence.

Objective(s)

To explore variations in the care home nursing and support workforce; how resident and relatives' needs in care homes are linked to care home staffing; how different staffing models impact on care quality, outcomes and costs; how workforce numbers, skill mix and stability meet residents' needs; the contributions of the care home workforce to enhancing quality of care; staff relationships as a platform for implementation by providers.

Design

Mixed-method (QUAL-QUANT) parallel design with five work packages. WP1 - two evidence syntheses (one realist); WP2 - cross-sectional survey of routine staffing and rated quality from care home regulator; WP3 - analysis of longitudinal data from a corporate provider of staffing characteristics and quality indicators, including safety; WP4 - secondary analysis of care home regulator reports; WP5 - social network analysis of networks likely to influence quality innovation. We expressed our synthesised findings as a logic model.

Setting

English care homes, with and without nursing, with various ownership structures, size and location, with varying quality ratings.

Participants

Managers, residents, families and care home staff.

Findings

Staffing's contribution to quality and personalised care requires: managerial and staff stability and consistency; sufficient staff to develop 'familial' relationships between staff and residents, and staff-staff reciprocity, 'knowing' residents, and skills and competence training beyond induction; supported, well-led staff seeing modelled behaviours from supervisors; autonomy to act. Outcome measures that capture the relationship between staffing and quality include: the extent to which resident needs and preferences are met and culturally appropriate; resident and family satisfaction; extent of residents living with purpose; safe care (including clinical outcomes); staff well-being and job satisfaction were important, but underacknowledged.

Limitations

Many of our findings stem from self-reported and routine data with known biases - such as under reporting of adverse incidents; our analysis may reflect these biases. COVID-19 required adapting our original protocol to make it feasible. Consequently, the effects of the pandemic are reflected in our research methods and findings. Our findings are based on data from a single care home operator and so may not be generalised to the wider population of care homes.

Conclusions

Innovative and multiple methods and theory can successfully highlight the nuanced relationship between staffing and quality in care homes. Modifiable characteristics such as visible philosophies of care and high-quality training, reinforced by behavioural and relational role modelling by leaders can make the difference when sufficient amounts of consistent staff are employed. Greater staffing capacity alone is unlikely to enhance quality in a cost-effective manner. Social network analysis can help identify the right people to aid adoption and spread of quality and innovation. Future research should focus on richer, iterative, evaluative testing and development of our logic model using theoretically and empirically defensible - rather than available - inputs and outcomes.

Study registration

This study is registered as PROSPERO CRD42021241066 and Research Registry registration: 1062.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/144/29) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 8. See the NIHR Funding and Awards website for further award information.

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.

Introduction of Unit-Dose Care in the 1,125 Bed Teaching Hospital: Practical Experience and Time Saving on Wards

Purpose

The shortage of nursing staff as well as the slow progress in the German health care system's digitalisation has gained much attention due to COVID-19. Patient-specific medication management using the unit-dose dispensing system (UDDS) has the potential for a lasting and positive influence on both digitalisation and the relief of nursing staff.

Methods

Nursing staff UDDS-acceptance was determined via a validated online survey. For the evaluation of stock keeping on the wards, the delivery quantities were determined for a comparative period before and after the introduction of the UDDS. The time required for on-ward medication-related processes on ward before and after the introduction of UDDS was recorded based on a survey form and the nursing relief in full-time equivalent (FTE) was calculated using the data obtained.

Results

We show that nurses appreciate the UDDS and confirm a significant reduction in drug stocks on the wards. The UDDS reduces the time needed to dispense medications from 4.52 ± 0.35 min to 1.67 ± 0.15 min/day/patient. In relation to the entire medication process, this corresponds to a reduction of 50% per day and per patient. Based on 40,000 patients/year and a supply of 1,125 beds with unit-dose blisters, 7.36 FTE nursing staff can be relieved per year. In contrast, 6.5 FTE in the hospital pharmacy are required for supplying the hospitals.

Conclusion

UDDS is well accepted by nurses, reduces stock levels on ward, and fulfils criteria as a nursing-relief measure.

Clinical pharmacists' interventions for preventing adverse events in critically ill neonates in Qatar: an economic impact analysis

Objective

This study aimed to assess the overall economic impact of clinical pharmacist interventions in the neonatal ICU (NICU) in Qatar.

Methods

A retrospective review of neonates' records was performed over a 3-month duration in the NICU of Qatar to determine the total economic benefit of clinical pharmacist interventions. The total benefit of interventions was calculated by considering the cost avoidance due to preventable adverse drug events (ADEs) and the cost savings associated with the revised resource use due to interventions. Sensitivity analyses were conducted to ensure the robustness and generalizability of the results.

Results

A total of 513 interventions were analyzed, involving 150 neonates. Most of the drug-related problems were related to therapy dosing, followed by drug choice appropriateness, the addition of prophylactic treatment, and administration frequency. The overall annual benefit was estimated at QAR 4,178,352 (1,147,584), which consisted of cost avoidance of QAR 1,050,680 (USD 288,648) and an overall cost saving of QAR -6091 (USD -1673).

Conclusions

While the clinical pharmacist interventions led to increased resource utilisation and associated costs, when considering the avoided costs of ADEs, the overall clinical pharmacist practices in the NICU setting were economically beneficial.

Medication errors at a diabetes management center in a resource-poor setting

BACKGROUND

Medication errors are known to cause adverse drug reactions, hospital admissions and mortality. In most resource-poor settings, medication errors occur but are undocumented.

OBJECTIVE

This study sought to investigate medication errors in a diabetic clinic at Komfo Anokye Teaching Hospital (KATH), Ghana.

METHODS

The research combined both qualitative and quantitative data collection methods. The quantitative aspect involved retrospectively reviewing patient folders over two years (1st January 2019 to 31st December 2021). Patients' folders were reviewed to identify possible medication errors. The qualitative arm explored underlying factors and experiences related to medication errors through interviews with healthcare workers. Ten healthcare professionals at KATH were interviewed using an interview guide.

RESULTS

A total of 264 patients' folders were retrieved. The majority (23.11%) of the patients were between 18 and 25 y.o., and there were more females (52.27%) than males. About 60% of the patients had diabetes and hypertension comorbidity. The overall prevalence of medication errors was 18.18%. The most prevalent type of medication error identified was wrong drug formulation (n = 19, 39.58%). About 47.92% of the medication errors resulted in adverse events and this was predominantly caused by antidiabetic drugs (47.83%) and anti-hypertensive drugs (34.78%). Patients in the age category of 26-35 y.o. [aOR: 0.31, CI: 0.11-0.90] had reduced odds of medication errors whilst patients with comorbidity of diabetes and hypertension [aOR: 5.95, CI: 2.43-14.60] had an increased odds of medication errors. Large patient population, low staff numbers and inadequate knowledge of drugs by healthcare workers were factors that contributed to medication errors.

CONCLUSION

Medication errors was moderately high in this diabetic clinic, and the errors led to a number of adverse events. Age, diabetes and hypertension comorbidity, large patient population, low staff numbers, and inadequate knowledge about drugs were identified as factors that influenced medication errors.

Validation of a method to assess the severity of medication administration errors in Brazil

INTRODUCTION

Medication errors are frequent and have high economic and social impacts; however, some medication errors are more likely to result in harm than others. Therefore, it is critical to determine their severity. Various tools exist to measure and classify the harm associated with medication errors; although, few have been validated internationally.

METHODS

We validated an existing method for assessing the potential severity of medication administration errors (MAEs) in Brazil. Thirty healthcare professionals (doctors, nurses and pharmacists) from Brazil were invited to score 50 cases of MAEs as in the original UK study, regarding their potential harm to the patient, on a scale from 0 to 10. Sixteen cases with known harmful outcomes were included to assess the validity of the scoring. To assess test-retest reliability, 10 cases (of the 50) were scored twice. Potential sources of variability in scoring were evaluated, including the occasion on which the scores were given, the scorers, their profession and the interactions among these variables. Data were analysed using generalisability theory. A G coefficient of 0.8 or more was considered reliable, and a Bland-Altman analysis was used to assess test-retest reliability.

RESULTS

To obtain a generalisability coefficient of 0.8, a minimum of three judges would need to score each case with their mean score used as an indicator of severity. The method also appeared to be valid, as the judges' assessments were largely in line with the outcomes of the 16 cases with known outcomes. The Bland-Altman analysis showed that the distribution was homogeneous above and below the mean difference for doctors, pharmacists and nurses.

CONCLUSION

The results of this study demonstrate the reliability and validity of an existing method of scoring the severity of MAEs for use in the Brazilian health system.

Acceptability of a cross-sectoral hospital pharmacist intervention for patients in transition between hospital and general practice: a mixed methods study

Background and objective

Drug-related problems (DRPs) are often seen when a patient is transitioning from one healthcare sector to another, for example, when a patient moves from the hospital to a General Practice (GP) setting. This transition creates an opportunity for information on medication changes and follow-up plans to be lost. A cross-sectoral hospital pharmacist intervention was developed and pilot-tested in a large GP clinic. The intervention included medication history, medication reconciliation, medication review, follow-up telephone calls, identification of possible DRPs and communication with the GP. It is unknown whether the intervention is transferable to other GP clinics. The aim of the study was to explore similarities and differences between GP clinics in descriptive data and intervention acceptability.

Methods

A convergent mixed methods study design was used. The intervention was tested in four GP clinics with differing characteristics. Quantitative data on the GP clinics, patients and pharmacist activities were collected. Qualitative data on the acceptability were collected through focus group interviews with general practitioners, nurses and pharmacists. The Theoretical Framework of Acceptability was used.

Results

Overall, the intervention was found acceptable and relevant by all. There were differences between the GP clinics in terms of size, daily physician work form and their use of pharmacists for ad hoc tasks. There were similarities in patient characteristics across GP clinics. Therefore, the intervention was found equally relevant for all of the clinics. Shared employment with unique access to health records in both sectors was important in the identification and resolution of DRPs. Economy was a barrier for further implementation.

Conclusions

The intervention was found acceptable and relevant by all; therefore, it was considered transferable to other GP clinics. Hospital pharmacists were perceived to be relevant healthcare professionals to be utilized in GP, in hospitals and in the cross-sectoral transition of patients.

Attributes of errors, facilitators, and barriers related to rate control of IV medications: a scoping review

BACKGROUND

Intravenous (IV) medication is commonly administered and closely associated with patient safety. Although nurses dedicate considerable time and effort to rate the control of IV medications, many medication errors have been linked to the wrong rate of IV medication. Further, there is a lack of comprehensive studies examining the literature on rate control of IV medications. This study aimed to identify the attributes of errors, facilitators, and barriers related to rate control of IV medications by summarizing and synthesizing the existing literature.

METHODS

This scoping review was conducted using the framework proposed by Arksey and O'Malley and PRISMA-ScR. Overall, four databases-PubMed, Web of Science, EMBASE, and CINAHL-were employed to search for studies published in English before January 2023. We also manually searched reference lists, related journals, and Google Scholar.

RESULTS

A total of 1211 studies were retrieved from the database searches and 23 studies were identified from manual searches, after which 22 studies were selected for the analysis. Among the nine project or experiment studies, two interventions were effective in decreasing errors related to rate control of IV medications. One of them was prospective, continuous incident reporting followed by prevention strategies, and the other encompassed six interventions to mitigate interruptions in medication verification and administration. Facilitators and barriers related to rate control of IV medications were classified as human, design, and system-related contributing factors. The sub-categories of human factors were classified as knowledge deficit, performance deficit, and incorrect dosage or infusion rate. The sub-category of design factor was device. The system-related contributing factors were classified as frequent interruptions and distractions, training, assignment or placement of healthcare providers (HCPs) or inexperienced personnel, policies and procedures, and communication systems between HCPs.

CONCLUSIONS

Further research is needed to develop effective interventions to improve IV rate control. Considering the rapid growth of technology in medical settings, interventions and policy changes regarding education and the work environment are necessary. Additionally, each key group such as HCPs, healthcare administrators, and engineers specializing in IV medication infusion devices should perform its role and cooperate for appropriate IV rate control within a structured system.

Cost savings and cost avoidance with the inpatient clinical pharmacist interventions in a tertiary cancer care hospital

BACKGROUND

The economic benefit of the clinical pharmacist's role in ensuring the optimum use of medicines is potentially considerable, particularly when it comes to cancer management. We sought to evaluate the overall economic impact of clinical pharmacist interventions in the main cancer setting in Qatar.

METHODS

The total economic benefit of the clinical pharmacy interventions were analyzed from the public hospital perspective. Patient records in March 2018, July/August 2018, and January 2019 were retrospectively reviewed at the National Center for Cancer Care and Research, Qatar. The total benefit from interventions was the total cost avoidance due to preventable adverse drug events plus any cost savings associated with therapeutic-based resource use. Sensitivity analyses confirmed the results' robustness and increased generalizability.

RESULTS

A total of 1352 interventions based on 281 patients were analyzed. The majority of the drug-related problems were related to the appropriateness of therapy, followed by dosing and administration. The total population benefit over the 3-months study period was QAR 4,879,185 (USD 1,336,763), constituting cost avoidance of QAR 4,234,012 (USD 1,160,003) and negative resource-use cost savings of -QAR 645,174 (-USD 176,760). Projected annual overall benefit was QAR 14,355,354 (USD 3,932,974). The increase in resource use with therapies was mostly because of the addition of other medications. Cost avoidance was mostly driven by recommending additional medications and discontinuation of medications. The uncertainty analysis demonstrated the robustness of outcomes.

CONCLUSIONS

The clinical pharmacist intervention increased resource use and its cost. In overall, however, taking avoided cost of adverse drug events in consideration, it is an economically beneficial practice in the National Center for Cancer Care and Research setting, associated with adverse drug events prevention and substantial economic benefits.

Utilization of telepharmacy in the management of hypertension

BACKGROUND

Deaths due to cardiovascular diseases is on the rise, with hypertension as its most important risk factor. Effective management of hypertension, however, remains a challenge. Globally, only one in five adults with hypertension have it under control. The situation is worse in sub-Saharan Africa where hypertension prevalence is highest. Telepharmacy presents a great opportunity to enhance the way we address hypertension management.

OBJECTIVES

This study sought to determine the effectiveness of pharmaceutical care interventions implemented through telepharmacy on medication adherence, practice of therapeutic lifestyles and overall blood pressure control among patients with hypertension.

METHODS

This was a randomized control trial conducted among individuals with hypertension recruited from two Ghanaian hospitals from May 2022 to December 2022. Patients with confirmed diagnosis of hypertension were recruited and assigned into a control or intervention group. Both groups were followed for six months with the intervention group receiving telepharmacy services in addition to standard clinical care. Outcome measures included changes in blood pressure, medication adherence, lifestyle modifications, identification and resolution of pharmaceutical care issues.

RESULTS

One hundred and eighteen (118) patients with hypertension were involved in the study. There was a statistically significant reduction in mean blood pressures for the intervention group after six months (Systolic-148.1 + 23.6, to 134.8 + 13.7, Diastolic- 85.8 + 9.8, to 79.5 + 8.7) (p < 0.05). The proportion of patients with adequately controlled blood pressure increased from 39.0% to 66.1%. There was also an increase in the mean adherence score (p < 0.05). The number of participants who adopted lifestyle modifications such as reducing salt consumption (89.5%) and exercising (77.2%) increased. The majority (87%) of all pharmaceutical care issues were identified and resolved over the six-month period.

CONCLUSION

Telepharmacy service provided via phone calls was effective in improving the control of blood pressure. It also promoted the practice of therapeutic lifestyle modifications, medication adherence and identification of pharmaceutical care issues among patients with hypertension.

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.

A C-Arm-Free Minimally Invasive Technique for Spinal Surgery: Cervical and Thoracic Spine

Background and Objectives: C-arm-free MIS techniques can offer significantly reduced rates of postoperative complications such as inadequate decompression, blood loss, and instrumentation misplacement. Another advantageous long-term aspect is the notably diminished exposure to radiation, which is known to cause malignant changes. This study emphasizes that, in some cases of spinal conditions that require a procedural intervention, C-arm-free MIS techniques hold stronger indications than open surgeries guided by image intensifiers. Materials and Methods: This study includes a retrospective analysis and review of various cervical and thoracic spinal procedures, performed in our hospital, applying C-arm-free techniques. The course of this study explains the basic steps of the procedures and demonstrates postoperative and intraoperative results. For anterior cervical surgery, we performed OPLL resection, while for posterior cervical surgery, we performed posterior fossa decompression for Chiari malformation, minimally invasive cervical pedicle screw fixation (MICEPS), and modified Goel technique with C1 lateral mass screw for atlantoaxial subluxation. Regarding the thoracic spine, we performed anterior correction for Lenke type 5 scoliosis and transdiscal screw fixation for diffuse idiopathic skeletal hyperostosis fractures. Results: C-arm-free techniques are safe procedures that provide precise and high-quality postoperative results by offering sufficient spine alignment and adequate decompression depending on the case. Navigation can offer significant assistance in the absence of normal anatomical landmarks, yet the surgeon should always appraise the quality of the information received from the software. Conclusions: Navigated C-arm-free techniques are safe and precise procedures implemented in the treatment of surgically demanding conditions. They can significantly increase accuracy while decreasing operative time. They represent the advancement in the field of spine surgery and are hailed as the future of the same.

Determining Medication Errors in an Adult Intensive Care Unit

INTRODUCTION

Research addressing the costs of Medication errors (MEs) is still scarce despite issues related to patient safety having significant economic and health impacts, making it imperative to analyze the costs and adverse events related to MEs for a better patient, professional, and institutional safety.

AIM

To identify the number of medication errors and verify whether this number was associated with increased hospitalization costs for patients in an Intensive Care Unit (ICU).

METHOD

This retrospective cross-sectional cohort study evaluated secondary data from patients' electronic medical records to compile variables, create a model, and survey hospitalization costs. The statistical analysis included calculating medication error rates, descriptive analysis, and simple and multivariate regression.

RESULTS

The omission error rate showed the highest number of errors per drug dose (59.8%) and total errors observed in the sample (55.31%), followed by the time error rate (26.97%; 24.95%). The omission error had the highest average when analyzing the entire hospitalization (170.40) and day of hospitalization (13.79). Hospitalization costs were significantly and positively correlated with scheduling errors, with an increase of BRL 121.92 (about USD $25.00) (95% CI 43.09; 200.74), and to prescription errors, with an increase of BRL 63.51 (about USD $3.00) (95% CI 29.93; 97.09).

CONCLUSION

We observed an association between two types of medication errors and increased hospitalization costs in an adult ICU (scheduling and prescription errors).

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.

Automated unit dose dispensing systems producing individually packaged and labelled drugs for inpatients: a systematic review

OBJECTIVES

Pharmacy automation is increasing in hospitals. The aim of this systematic review was to identify and evaluate the literature on automated unit dose dispensing systems (UDDS) producing individually packaged and labelled drugs for inpatients.

METHODS

The search was conducted on eight electronic databases, including Scopus, Medline Ovid, and Cinahl, and limited to peer reviewed articles with English abstracts published 2000-2020. Studies were included in the review if drug dispensing was performed by an automated UDDS where individually packaged and labelled unit doses were subsequently assembled patient specifically for inpatients. All outcomes related to UDDS functionality were included with specific interest in medication safety, cost-efficiency and stock management. Outcomes were categorised and results synthesised qualitatively.

RESULTS

664 publications were screened, one article identified manually, resulting in eight included articles. Outcomes of the studies were categorised as medication administration errors (MAEs), dispensing errors, costs and cost-effectiveness. Studies showed that automated UDDS reduced significantly MAEs of inpatients compared with traditional ward stock system (WSS), especially when UDs were dispensed patient specifically by unit dose dispensing robot. Patient specific drug dispensing with automated UDDS was very accurate. Of three different automated medication systems (AMSs), patient specific AMS (psAMS) was the most cost-effective and complex AMS (cAMS) the most expensive system across all error types due to the higher additional investments and operation costs of automated dispensing cabinets (ADCs). None of the studies investigated the impact on the medication management process such as efficiency, costs and stock management as primary outcome.

CONCLUSIONS

UDDS improved patient safety. However, automation is a costly investment and the implementation process is complex and time consuming. Further controlled studies are needed on the clinical and economical outcomes of automated UDDS to produce reliable knowledge for hospital decision makers on the cost-benefit of the investment and to support decision making.

The associations of psychological burnout and time factors on medication errors in rotating shift nurses in Korea: A cross sectional descriptive study

AIM

To describe the associations of psychological burnout and time factors on hospital nurses' medication errors.

DESIGN

A cross-sectional survey design was used.

METHODS

A structured questionnaire pertaining to psychological burnout, time factors and medication error was administered to 200 bedside nurses working at two tertiary university hospitals in Korea. The associations between the psychological burnout, time factor and medication error were analysed with the zero-inflated negative binomial regression for over-dispersed and over-abundant zeros count data.

RESULTS

Higher psychological burnout, shorter meal time during duty and longer weekly overtime were associated with an increased likelihood of medication error of nurses working in tertiary university hospitals. For medication safety, nurse managers should provide appropriate administrative support to nurses to cope with psychological burnout of nurses. Work time management should also be considered as human factors to satisfy the needs of nurses, such as securing meal times and maintaining a low level of weekly overtime.

Value of improving patient safety: health economic considerations for rapid response systems-a rapid review of the literature and expert round table

OBJECTIVES

Failure to rescue deteriorating patients in hospital is a well-researched topic. We aimed to explore the impact of safer care on health economic considerations for clinicians, providers and policymakers.

DESIGN

We undertook a rapid review of the available literature and convened a round table of international specialists in the field including experts on health economics and value-based healthcare to better understand health economics of clinical deterioration and impact of systems to reduce failure to rescue.

RESULTS

Only a limited number of publications have examined the health economic impact of failure to rescue. Literature examining this topic lacked detail and we identified no publications on long-term cost outside the hospital following a deterioration event. The recent pandemic has added limited literature on prevention of deterioration in the patients' home.Cost-effectiveness and cost-efficiency are dependent on broader system effects of adverse events. We suggest including the care needs beyond the hospital and loss of income of patients and/or their informal carers as well as sickness of healthcare staff exposed to serious adverse events in the analysis of adverse events. They are likely to have a larger health economic impact than the direct attributable cost of the hospital admission of the patient suffering the adverse event. Premorbid status of a patient is a major confounder for health economic considerations.

CONCLUSION

In order to optimise health at the population level, we must limit long-term effects of adverse events through improvement of our ability to rapidly recognise and respond to acute illness and worsening chronic illness both in the home and the hospital.

Defining high-quality care in pediatric surgery: Implications for performance measurement and prioritization of quality and process improvement efforts

Establishing a standardized and comprehensive framework for defining surgical quality is essential for meaningful performance measurement and process improvement efforts. The goal of this chapter is to provide a conceptual framework for defining surgical quality based on the perspectives of relevant stakeholders, and to identify infrastructure and care processes necessary for the delivery of high-quality surgical care. Central to this framework are the complementary approaches for quality assessment as outlined by the Institute of Medicine and Donabedian paradigms, and how these should be used together to develop a robust and granular taxonomy of quality constructs relevant to all surgical conditions. The utility of balancing and composite measures for quality assessment is also reviewed, as are practical considerations for identifying and prioritizing process improvement opportunities based on procedure volume and perioperative risk.

Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review

OBJECTIVES

The aim of this study is to investigate the effect of artificial intelligence (AI) and/or algorithms on drug management in primary care settings comparing AI and/or algorithms with standard clinical practice. Second, we evaluated what is the most frequently reported type of medication error and the most used AI machine type.

METHODS

A systematic review of literature was conducted querying PubMed, Cochrane and ISI Web of Science until November 2021. The search strategy and the study selection were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the Population, Intervention, Comparator, Outcome framework. Specifically, the Population chosen was general population of all ages (ie, including paediatric patients) in primary care settings (ie, home setting, ambulatory and nursery homes); the Intervention considered was the analysis AI and/or algorithms (ie, intelligent programs or software) application in primary care for reducing medications errors, the Comparator was the general practice and, lastly, the Outcome was the reduction of preventable medication errors (eg, overprescribing, inappropriate medication, drug interaction, risk of injury, dosing errors or in an increase in adherence to therapy). The methodological quality of included studies was appraised adopting the Quality Assessment of Controlled Intervention Studies of the National Institute of Health for randomised controlled trials.

RESULTS

Studies reported in different ways the effective reduction of medication error. Ten out of 14 included studies, corresponding to 71% of articles, reported a reduction of medication errors, supporting the hypothesis that AI is an important tool for patient safety.

CONCLUSION

This study highlights how a proper application of AI in primary care is possible, since it provides an important tool to support the physician with drug management in non-hospital environments.

Economic evaluation of a collaborative model of pharmaceutical care in an Irish hospital: cost-utility analysis

Background: A complex, collaborative pharmaceutical care intervention including medication review and reconciliation demonstrated a statistically significant reduction in the prevalence of discharge medication error and improved quality of prescribing for hospitalised adults.  This study sought to assess the cost-effectiveness of this intervention. Methods: A cost-utility analysis was undertaken using a decision-analytic framework. The evaluation was undertaken from the Health Service Executive's perspective, the payer for primary and secondary care settings. Direct costs associated with managing hypothetical harm consequent to intercepted discharge medication error and consequences in terms of quality-adjusted life years loss were key input parameters. Analysis was structured within a decision tree model in Microsoft Excel® populated with consequences as utilities, estimated costs using macro- and micro-costing approaches, and event probabilities generated from the original study. Incremental analysis, one-way and probabilistic sensitivity analyses were performed. Results: The results of analysis for the base-care demonstrated that the intervention dominated standard care with an incremental cost-effectiveness ratio of -€36,537.24/quality-adjusted life year, indicating that the intervention is less costly and more effective. The one-way and probabilistic sensitivity analyses both demonstrated that the intervention dominated standard care. The model was relatively robust to variation in input parameters through one-way sensitivity analysis. The cost of discharge medication error and effect parameters relating to standard care were most sensitive to change. Discussion: The analysis demonstrated the cost-effectiveness of a complex pharmaceutical intervention which will support decision-making regarding implementation. This is the first cost-utility analysis of a complex, collaborative pharmaceutical care intervention, adding to the scant evidence-base in the field.

Potential costs and consequences associated with medication error at hospital discharge: an expert judgement study

OBJECTIVES

Assessing the cost-effectiveness of complex pharmaceutical care interventions and medication error outcomes is hindered by lack of available data on actual outcomes consequent to errors that were intercepted for patient safety reasons. Expert judgement is an approach to acquire data regarding unknown parameters in an economic model which are otherwise insufficient or not possible to obtain. The aim of this paper is to describe a method to approach this problem using findings from a single intervention study and to calculate the potential costs and consequences associated with discharge medication error.

METHODS

Using data from a previous intervention study, the hypothetical consequences of medication error(s) at hospital discharge, in terms of diagnosis, healthcare resource utilisation and impact on health-related quality of life, were identified by expert judgement of anonymised cases. Primary healthcare utilisation costs were derived from published tariffs, inpatient costs were derived by simulation in the hospital discharge activity database test environment and the difference between adjudicated baseline and posterror health state was expressed as quality-adjusted life year (QALY) decrement.

RESULTS

Four experts provided judgement on 81 cases. Of these, 75 were judged to have potential clinical consequences. Between 56 and 69 of the 81 cases were variably judged to require remedial healthcare utilisation. The mean calculated cost per case (representing an individual patient), based on all 81 cases, was €1009.58, 95% CI 726.64 to 1585.67. The mean QALY loss was 0.03 (95% CI 0.01 to 0.05).

CONCLUSION

An expert judgement process proved feasible and useful to estimate financial cost and QALY loss associated with hospital discharge medication error. These estimates will be employed in model-based economic evaluation. This method could be transferred to other prospective observational patient safety research which seeks to assess value for money of complex interventions.

Failure mode and effect analysis applied to improve the medication management process in a pharmacy of a teaching hospital and a proposal for a simplified rating system

BACKGROUND

Healthcare is not as safe as it should be and medication error remains a significant source of preventable morbidity and mortality among patients.

OBJECTIVES

To present a failure mode and effect analysis (FMEA) of the medication management process in the pharmacy of the largest teaching hospital in Tunisia. Secondly, to examine the validity of a proposed simplified risk rating method by comparing the degree of concordance with the FMEA rating system in classifying failure modes related to the studied process.

METHODS

The FMEA method was applied to the medication management process in the pharmacy for 5 months from January 2020. For the traditional FMEA rating system, failure modes were prioritised according to the risk priority number, which considers severity, occurrence and non-detectability. Failure modes were classified for the traditional method considering three categories: accepted, requiring control and critical. The proposed rating system was based on two indices: the number of parts, which reflected severity, and the number of causes according to the 5M method (manpower, machines, material, methods and medium), which reflected occurrence. Failure modes were classified for the proposed method considering three categories: low, medium and high. Failure modes were independently analysed to determine the degree of agreement in ranking of risk between the two studied methods. Prioritised failure modes were targeted by decisions and solutions aiming to reduce risk and enhance safety.

RESULTS

Twenty-four failure modes were identified for the six-step process of medication management in a pharmacy (overall criticality=2607). The most critical failure modes were: data error in drugs reception (risk priority number (RPN)=432), break in the cold chain (RPN=320) and non-optimal pharmaceutical analysis (RPN=280). A good agreement was found between the classic FMEA and the proposed rating methods (κ=0.795). A high correlation was shown between the two scorings (r=0.785). Three failure modes were underestimated by the proposed rating method.

CONCLUSIONS

An FMEA study on the medication management process in a teaching pharmacy showed that FMEA is an effective, proactive risk assessment that enables a better understanding of the studied process. The proposed risk scoring permits a good concordance with the classic method, with the advantage of being fast. Targeting the identified risks will allow integration into a continuous process of improvement and increase patient safety.

Development and validation of a risk prediction model for medication administration errors among neonates in the neonatal intensive care unit: a study protocol

INTRODUCTION

Medication administration errors (MAEs) are the most common type of medication error. Furthermore, they are more common among neonates as compared with adults. MAEs can result in severe patient harm, subsequently causing a significant economic burden to the healthcare system. Targeting and prioritising neonates at high risk of MAEs is crucial in reducing MAEs. To the best of our knowledge, there is no predictive risk score available for the identification of neonates at risk of MAEs. Therefore, this study aims to develop and validate a risk prediction model to identify neonates at risk of MAEs.

METHODS AND ANALYSIS

This is a prospective direct observational study that will be conducted in five neonatal intensive care units. A minimum sample size of 820 drug preparations and administrations will be observed. Data including patient characteristics, drug preparation-related and administration-related information and other procedures will be recorded. After each round of observation, the observers will compare his/her observations with the prescriber's medication order, hospital policies and manufacturer's recommendations to determine whether MAE has occurred. To ensure reliability, the error identification will be independently performed by two clinical pharmacists after the completion of data collection for all study sites. Any disagreements will be discussed with the research team for consensus. To reduce overfitting and improve the quality of risk predictions, we have prespecified a priori the analytical plan, that is, prespecifying the candidate predictor variables, handling missing data and validation of the developed model. The model's performance will also be assessed. Finally, various modes of presentation formats such as a simplified scoring tool or web-based electronic risk calculators will be considered.

Effects of nursing workload on medication administration errors: A quantitative study

BACKGROUND

Medication administration errors by nurses form a high proportion of medical errors in medical institutions. Studies have shown that such errors are closely linked to nursing workload.

OBJECTIVE

To quantitatively explore the effects of different types of nursing workloads on different medication administration errors.

METHOD

Three medical institutions were selected as the objects of error data collection based on the following criteria: the medical institution experience in error data collection, the complete range of medical departments, and the institution size. Error cases were self-reported from all nurses in all medical departments. The relationship between the error types and nursing workload types were quantitatively examined using partial least squares and structural equation modeling.

RESULTS

The study recorded 290 medication administration errors, and extracted four error types and nine nursing workload types. The workload type for each error type was also identified and the path coefficient was found to be between 0.087 to 0.416.

CONCLUSION

This study confirmed the effect of workload on medication administration errors and determined a theoretical mechanism for this effect. Research results will provide the evidence for nursing managers to reduce workload and ensure quality in the nursing administration process.

Developing and piloting a cross-sectoral hospital pharmacist intervention for patients in transition between hospital and general practice

Background

Healthcare is challenged by a rapidly growing group of patients with multi-morbidity and polypharmacy. Increasing activity and specialization puts pressure on healthcare sectors. Medication errors in cross-sectoral transition of patients are often seen. The aim of the study was to explore drug-related problems (DRPs) in the transition of patients between sectors and to develop and pilot-test a cross-sectoral hospital pharmacist intervention to overcome some of these problems.

Methods

DRPs in cross-sectoral transitions were explored from four perspectives; the literature, the primary and secondary healthcare sector and the patients. An intervention was developed from the findings through co-creation between pharmacists, doctors and a nurse. The intervention was piloted and evaluated from data on the included patients and the activities performed.

Results

DRPs in transitions from general practice (GP) to hospital were caused by inadequate focus on updating the Shared Medication Record (SMR). For patients being discharged, DRPs were described with multiple facets; for example, missing information on medication changes, lacking patient involvement and problems with dose-dispensed medicine or electronic prescriptions. An intervention with a pharmacist in a shared employment between Hospital Pharmacy and GP was developed and piloted. The intervention included medication reconciliation and updating SMR for patients referred to hospital; and medication review, overview of medication changes and follow-up telephone calls for patients discharged from hospital. The intervention identified and solved several DRPs; in this way, medication errors were avoided. Access to health records in both sectors was important in the identification and resolution of DRPs.

Conclusion

DRPs in cross-sectoral transitions are multifaceted and the experiences depend on the point of view. The cross-sectoral hospital pharmacist intervention identified and solved several DRPs and medication errors were avoided. The intervention made sense to both healthcare sectors and patients. Shared employment and unique access to health records in both sectors showed to be of importance in the identification and resolution of DRPs.

Plain language summary

Development and pilot-test of a pharmacist intervention for patients in transition between hospital and general practice Background: Healthcare is challenged by a rapidly growing group of patients with multiple chronic diseases treated with several drugs at the same time. The aim of the study was to explore drug-related problems in the transition of patients between the hospital and patients' general practitioner and to develop and pilot-test a pharmacist intervention to overcome some of these problems.Methods: Drug-related problems in patient transitions were explored from the perspectives of the hospital, the general practitioner, the patients and the literature. An intervention was developed from the findings by pharmacists, doctors and a nurse. The intervention was pilot-tested and evaluated from the descriptions of the included patients and activities performed.Results: Drug-related problems in transitions from general practice to hospital were caused by inadequate focus on updating the Shared Medication Record.For patients being discharged, drug-related problems were related to for examplemissing information on medication changessparse involvement of the patient in their own treatmentproblems with medicine dispensed on a dose dispensing machine at the local pharmacy.An intervention with a pharmacist in a shared employment between Hospital Pharmacy and general practice was developed and piloted. The intervention includedtalking to the patient about their medication and updating the Shared Medication Record for patients referred to hospitalmedication review, overview of medication changes and follow-up telephone calls for patients discharged from hospital to general practice.The intervention identified and solved several drug-related problems. Access to health records in both the general practice and at the hospital was important in the identification of drug-related problems.Conclusions: Drug-related problems in cross-sectoral transitions are multifaceted. The pharmacist intervention identified and solved several drug-related problems. The intervention made sense to the general practitioner, hospital and patients. Shared employment and unique access to health records in both the general practice and at the hospital showed to be of importance in the identification of drug-related problems.

Development and psychometric assessment of self-reported patient medication safety scale (SR-PMSS)

Objectives:

Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, few tools have been developed to assess patient medication safety. This study aimed to develop and validate the self-reported patient medication safety scale (SR-PMSS).

Methods:

We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability.

Results:

A total of 501 patients with an average age of 56.81 ± 14.47 were enrolled in this study. The SR-PMSS consisted of 21 items and 5 factors. The content validity was good with item-level content validity index (CVI) > 0.78, average scale-level CVI (S-CVI) > 0.9, and universal agreement S-CVI > 0.8. Exploratory factor analysis extracted a five-factor solution with eigenvalues > 0.1, explaining 67.766% of the variance. Confirmatory factor analysis showed good model fit, acceptable convergent validity, and discriminant validity. The Cronbach’s α coefficient for SR-PMSS was 0.929, the split-half reliability coefficient was 0.855, and the test–retest reliability coefficient was 0.978.

Conclusions:

The SR-PMSS was a valid and reliable instrument with good reliability and validity to evaluate the level of patient medication safety. The target users of the SR-PMSS are all people who are taking or have used prescription medications. The SR-PMSS can be used by healthcare providers in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management.

Plain Language Summary

SR-PMSS – a self-reported tool to assess patient medication safety Medication therapy was the most common and frequent treatment method to prevent and cure diseases. Medication safety issues may occur in the process of medication use. Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, there are few tools to assess patient medication safety currently, and most of them focused on medication safety related to hospitals or healthcare workers. We developed the self-reported patient medication safety scale (SR-PMSS) guided by the Donabedian Structure-Process-Outcome framework. Then, we conducted a two-round expert consultation, clarity verification, and item simplification to determine the final version of the scale. The SR-PMSS consisted of 21 items and 5 factors and it had good validity and reliability. The target users of the SR-PMSS are all people who are taking or have used prescription medications. Healthcare providers can use the SR-PMSS in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management.

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.

The impact of pharmacists' interventions within the Closed Loop Medication Management process on medication safety: An analysis in a German university hospital

Background: Single elements of the Closed Loop Medication Management process (CLMM), including electronic prescribing, involvement of clinical pharmacists (CPs), patient individual logistics and digital administration/documentation, have shown to improve medication safety and patient health outcomes. The impact of the complete CLMM on patient safety, as reflected in pharmacists' interventions (PIs), is largely unknown. Aim: To evaluate the extent and characterization of routine PIs performed by hospital-wide CPs at a university hospital with an implemented CLMM. Methods: This single-center study included all interventions documented by CPs on five self-chosen working days within 1 month using the validated online-database DokuPIK (Documentation of Pharmacists' Interventions in the Hospital). Based on different workflows, two groups of CPs were compared. One group operated as a part of the CLMM, the "Closed Loop Clinical Pharmacists" (CL-CPs), while the other group worked less dependent of the CLMM, the "Process Detached Clinical Pharmacists" (PD-CPs). The professional experience and the number of medication reviews were entered in an online survey. Combined pseudonymized datasets were analyzed descriptively after anonymization. Results: A total of 1,329 PIs were documented by nine CPs. Overall CPs intervened in every fifth medication review. The acceptance rate of PIs was 91.9%. The most common reasons were the categories "drugs" (e.g., indication, choice of formulation/drug and documentation/transcription) with 42.7%, followed by "dose" with 29.6%. One-quarter of PIs referred to the therapeutic subgroup "J01 antibacterials for systemic use." Of the 1,329 underlying PIs, 1,295 were classified as medication errors (MEs) and their vast majority (81.5%) was rated as "error, no harm" (NCC MERP categories B-D). Among PIs performed by CL-CPs (n = 1,125), the highest proportion of errors was categorized as B (56.5%), while in the group of PIs from PD-CPs (n = 170) errors categorized as C (68.2%) dominated (p < 0.001). Conclusion: Our study shows that a structured CLMM enables CPs to perform a high number of medication reviews while detecting and solving MEs at an early stage before they can cause harm to the patient. Based on key quality indicators for medication safety, the complete CLMM provides a suitable framework for the efficient medication management of inpatients.

Unintended medication discrepancies and associated factors upon patient admission to the internal medicine wards: identified through medication reconciliation

Background

Medication reconciliation (MedRec) is a widely accepted tool for the identification and resolution of unintended medication discrepancies (UMD).

Objective

This study aimed at assessing the magnitude and associated factors of UMD identified through medication reconciliation upon patient admission to the internal medicine wards.

Methods

Prospective cross-sectional study was conducted at the internal medicine wards of Felege Hiwot and Tibebe Ghion comprehensive specialized hospitals in Bahir Dar city, Northwest Ethiopia, from May 01 to July 30, 2021. Data were collected by using a data abstraction format prepared based on standard MedRec tools and previous studies on medication discrepancy. Pharmacists-led MedRec was made by following the WHO High5s “retroactive medication reconciliation model”. SPSS® (IBM Corporation) version 25.0 was used to analyze the data with descriptive and inferential statistics. A binary logistic regression analysis was used to identify factors associated with UMD. A statistical significance was declared at a p-value < 0.05.

Results

Among 635 adult patients, 248 (39.1%) of them had at least one UMD. The most frequent types of UMDs were omission (41.75%) and wrong dose (21.9%). The majority (75.3%) of pharmacists’ interventions were accepted. Polypharmacy at admission (p-value < 0.001), age ≥ 65 (p-value = 0.001), a unit increase on the number of comorbidities (p-value = 0.008) and information sources used for MedRec (p-value < 0.001), and medium (p-value = 0.019) and low adherence (p-value < 0.001) were significantly associated with UMD.

Conclusion

The magnitude of UMD upon patient admission to the internal medicine wards was considerably high. Omission and the wrong dose of medication were common. Older age, polypharmacy, low and medium adherence, and an increase in the number of comorbidities and information sources used for MedRec are significantly associated with UMDs. Pharmacists' interventions were mostly acceptable. Thus, the implementation of pharmacists-led MedRec in the two hospitals is indispensable for patient safety.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08628-5.

Prevalence, Causes and Severity of Medication Administration Errors in the Neonatal Intensive Care Unit: A Systematic Review and Meta-Analysis

INTRODUCTION

Neonates are at greater risk of preventable adverse drug events as compared to children and adults.

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.

The Impacts of Clinical Pharmacists' Interventions on Clinical Significance and Cost Avoidance in a Tertiary Care University Hospital in Oman: A Retrospective Analysis

Objectives: Pharmaceutical interventions are implicit components of the enhanced role that clinical pharmacists provide in clinical settings. We aimed to study the clinical significance and analyze the presumed cost avoidance achieved by clinical pharmacists’ interventions. Methods: A retrospective study of documented clinical pharmacists’ interventions at a tertiary care hospital in Oman was conducted between January and March 2022. The interventions were electronically recorded in the patients’ medical records as routine practice by clinical pharmacists. Data on clinical outcomes were extracted and analyzed. Cost implications were cross checked by another clinical pharmacist, and then, cost avoidance was calculated using the Rx Medi-Trend system values. Results: A total of 2032 interventions were analyzed, and 97% of them were accepted by the treating physicians. Around 30% of the accepted interventions were for antimicrobials, and the most common type was dosage adjustment (30%). Treatment efficacy was enhanced in 60% and toxicity was avoided in 22% of the interventions. The presumed cost avoided during the study period was USD 110,000 with a projected annual cost avoidance of approximately USD 440,000. Conclusion: There was an overall positive clinical and financial impact of clinical pharmacists’ interventions. Most interventions have prevented moderate or major harm with a high physician acceptance rate. Optimal documentation of the interventions is crucial for emphasizing clinical pharmacists’ value in multi-specialty hospitals.

Analysis of medication and prescription background risk factors contributing to oral medication administration errors by nurses: A case-control study

Medication errors, including overdose and underdose, have a significant impact on patients and the medical economy. We need to prevent or avoid recurring medication errors. Therefore, we conducted a survey to identify medication and prescription background risk factors contributing to the administration of medication by nurses. This study surveyed cases of medication administration errors. This study was conducted at Higashinagoya National Hospital from April 1, 2018, to October 31, 2019. Patients' backgrounds and medication and prescription background risk factors were investigated. Three control cases were randomly selected for each medication error case. We defined the group of medication error cases as the medication error group and the group of control cases as the no-medication-error group. A logistic regression analysis was performed for factors related to medication errors. A total of 202 patients were included in the medication error group. The median age and number of medications were 78 years and 7, respectively. A total of 606 cases were included in the no-medication-error group. The median age and number of medications were 77 years and 6, respectively. The factors that exhibited a relationship with the medication error group were the number of administrations per day, dosing frequency on indicated days, prescription and start dates were the same, medications from multiple prescriptions, and continuous use of a medication received prior to admission. This study identified existing medication and prescription background risk factors. Overlapping risk factors from these groups might contribute to medication administration errors. Therefore, reviewing these factors is necessary to avoid recurring medication administration errors.

Knowledge, attitudes and practices of clinical pharmacists to medication error reporting in ministry of health and population hospitals in Egypt

Objective

This study aimed to assess the knowledge, attitudes and practices toward medication errors (MEs) reporting among pharmacists working in Ministry of Health and Population (MOHP) hospitals in Alexandria.

Methods

A cross-sectional study was conducted among all pharmacists who are responsible for reporting medication errors in the Egyptian online reporting system (NO HARMe).

Results

The majority of pharmacists received training on MEs reporting using the Egyptian online reporting system. Around half of the pharmacists knew the correct definition for medication errors. All respondents were aware of the presence of a MEs reporting system in Egypt. Clinical pharmacists’ attitudes towards MEs reporting was favorable with an overall mean score of 4.20 ± 0.73 in a score ranging from 1 (most unfavorable attitudes score) to 5 (most favorable score). Only 60.7% of the surveyed pharmacists used the system to report MEs. Antibiotics were the most frequent drug category reported and the prescribing stage was the stage in which pharmacists perceived the greatest volume of reports were made (89.3% and 71.4%, respectively). Lack of time was the most frequently identified barrier to reporting, followed by lack of feedback to the report submitted (73.2%, 54.5%, respectively). Inconsistent with the results of other studies, fear from legal consequences and being recognized as an incompetent provider was reported by only 12.5% and 11.6% of pharmacists, respectively.

Conclusion

The majority of pharmacists have good knowledge and favorable attitudes towards medication error reporting, however around two fifths do not report medication errors.

Impact of integrated medication management program on medication errors in a medical center: an interrupted time series study

Background

Medication errors (MEs) are harmful to patients during hospitalization, especially elderly patients. To reduce MEs, an integrated medication management (IMM) model was developed in a 2500-bed medical center, allowing a clinical pharmacist to participate in the daily ward round and perform medication reconciliation and medication reviews. This study aimed to evaluate the impact of the IMM model on MEs and medication utilization using a quasi-experimental design.

Methods

We conducted an interrupted time-series study using the aggregated data of monthly admissions from two wards of a medical center, where one ward served as the intervention and the other served as the external control. The pre- and post-intervention phases comprised of 40 and 12 monthly observational units, respectively. The primary outcome was the mean number of ME reports, which were further investigated for different ME types. The mean number of daily inpatient prescriptions, mean number of daily self-prepared medications, and median daily medication costs were measured. All outcomes were measured per admission episode. Segmented regression was used to evaluate the level and slope changes in the outcomes after IMM model implementation, and subgroup analyses were performed to examine the effects on different groups.

Results

After IMM model implementation, the mean number of ME reports increased (level change: 1.02, 95% confidence interval [CI]: 0.68 to 1.35, P < 0.001). The number of reports has shown a dramatic increase in omissions or medication discrepancies, inappropriate drug choices, and inappropriate routes or formulations. Furthermore, the mean number of daily inpatient prescriptions was reduced for patients aged ≥75 years (level change: −1.78, 95% CI: −3.06 to −0.50, P = 0.009). No significant level or slope change was observed in the control ward during the post-intervention phase.

Conclusions

The IMM model improved patient safety and optimized medication utilization by increasing the reporting of MEs and decreasing the number of medications used.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08178-w.

"The Impact of Clinical Pharmacist Implemented Education on the Incidence of Prescribing Errors in COVID-19 patients"

Background

Clinical pharmacists have a vital role during COVID-19 pandemic in mitigating medication errors, particularly prescribing errors in hospitals. That is owing to the fact that prescribing errors during the COVID-19 pandemic has increased.

Aim

This study aimed to evaluate the impact of the clinical pharmacist on the rate of prescribing errors on COVID-19 patients in a governmental hospital.

Methods

The study was a pre-post study conducted from March 2020 till September 2020. It included the pre-education phase P0; a retrospective phase where all the prescription for COVID-19 patients were revised by the clinical pharmacy team and prescription errors were extracted. Followed by a one-month period; the clinical pharmacy team prepared educational materials in the form of posters and flyers covering all prescribing errors detected to be delivered to physicians. Then, the post-education phase P1; all prescriptions were monitored by the clinical pharmacy team to assess the rate and types of prescribing errors and the data extracted was compared to that from pre-education phase.

Results

The number of prescribing errors in P0 phase was 1054 while it was only 148 in P1 Phase. The clinical pharmacy team implemented education phase helped to significantly reduce the prescribing errors from 14.7/1000 patient-days in the P0 phase to 2.56 /1000 patient-days in the P1 phase (p-value <0.001).

Conclusion

The clinical pharmacist significantly reduced the rate of prescribing errors in patients with COVID-19 which emphasizes the great role of clinical pharmacists' interventions in the optimization of prescribing in these stressful conditions.

Pictograms for safer medication handling by health care workers: a validation study in nursing students in Poland

Background and objective

Medication use often causes errors that are dangerous to the health of patients. Previous studies indicate that the use of pharmaceutical pictograms can effectively reduce medication errors. The purpose of this study was to determine the comprehensibility, representativeness, and recall rate of nine medication safety pictograms in a sample of nursing students in Poland in order to validate these images.

Methods

A pictogram validation study was conducted in two phases among nursing students at the Hipolit Cegielski State University of Applied Sciences, Gniezno, Poland.

All experimental protocols were approved by the Children's Hospital of Eastern Ontario Research Ethics Board (REB Protocol No: 19/122X). All methods were carried out in accordance with relevant guidelines and regulations.

In phase 1, the participants' first exposure to the pictograms, the students were asked to guess the meaning of the pictograms without any additional information in order to assess the pictograms' comprehensibility. To be considered valid, according to ISO standards, the pictograms had to be correctly understood by at least 66.7% of participants. After testing all pictograms, students were given explanations and meanings of the pictograms and asked to rate the representativeness of pictograms. To do so, participants were asked to select a number on a seven-point Likert-style scale to indicate the perceived strength of the relationship between the pictogram and its intended meaning for each pictogram. To be considered valid, a pictogram had to be rated at least five on this scale by at least 66.7% of participants. Phase 2 took place four weeks later, during which recall of the intended meaning and representativeness were assessed following the same procedure.

Results

A total of 66 third-year nursing students participated in both phases. In phase 1, of the nine pictograms, six met ISO requirements for comprehensibility and seven met ISO requirements for representativeness. In phase 2, all nine pictograms were correctly understood and rated at least 5 by at least 66.7% of participants. Therefore, all nine pictograms are considered valid.

Conclusions

The nine medication safety pictograms can be deployed, but must be combined with training and a written hazard statement to improve comprehension.

Biometric palm vein authentication of psychiatric patients for reducing in-hospital medication errors: a pre-post observational study

OBJECTIVES

This study aimed to evaluate a biometric palm vein authentication system to prevent medication administration errors in psychiatric hospitals.

DESIGN

This is a pre-post observational study.

SETTING

Conventionally, the medication was distributed after a double check. We developed and introduced a new medication administration cart in two psychiatric hospitals in Japan, in which each patient-specific drug box had to be electronically opened only by palm vein authentication.

PARTICIPANTS

A total of 3444 and 3523 patients were present 18 months before and after introducing the cart, respectively. Of the 212 nurses recruited, 28 were excluded due to a lack of experience with the conventional medication administration system and incomplete questionnaires.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was the efficacy of this system by comparing the incidence of medication administration errors before and after introducing the cart. The secondary outcome was a survey regarding nurses' attitudes toward this system.

RESULTS

After introduction of the new system, the number of medication errors due to misidentification of persons relative to the total number of admitted patients was significantly reduced from 6/3444 to 2/3523 (p<0.0001). Among 184 nurses, 182 responded that anxiety regarding administration errors was either reduced or unchanged using this system. Male nurses reported a greater increase in work burden than female nurses (OR=3.11, 95% CI=1.44 to 6.72). Nurses working in chronic care wards reported greater time pressure than nurses working in emergency wards (OR=3.33, 95% CI=1.16 to 9.57). Nurses working in dementia care wards reported a greater patient care burden than nurses working in emergency wards (OR=5.67, 95% CI=1.22 to 26.27).

CONCLUSIONS

This new system might have potential for reducing the patient misidentification risk during medication without increasing the anxiety experienced by nurses concerning administration errors. However, system usability and efficiency must be improved to reduce additional work burden, time pressure and patient care burden.

Analysis of prescribing error and pharmacist's intervention on obstetrics and gynaecology outpatient prescriptions in a Malaysian tertiary hospital

Prescribing error in obstetrics and gynaecology (O&G) poses harm to women and potentially to the foetus and new born. Pharmacists' interventions have been reported to prevent prescribing error from reaching the patients. Little is reported on the magnitude of prescribing error and pharmacist intervention in a subspecialised outpatient O&G setting. This study aimed to identify the prevalence of prescribing error and pharmacists' interventions at the O&G outpatient setting. This retrospective study involved screening of prescriptions for commission and omission errors. Acceptance, clinical significance and rationale for pharmacists' interventions were analysed. Of the 3883 prescriptions screened, 359 (9.2%) prescriptions contained prescribing error, mainly (52.4%) due to commission errors. Among the 395 interventions performed by the pharmacists, 207 (52.4%) were recorded for omission errors. All the interventions were accepted by the prescribers with 65.1% were categorised as 'very significant'. About 54% of the interventions were conducted to optimise treatment outcome. The prevalence of prescribing error and pharmacists' interventions on O&G outpatient prescriptions was found to be substantial in this study. Standard prescription writing guideline should be routinely regulated, monitored and educated among healthcare professionals. Impact StatementWhat is already known on this subject? Prescribing error rate in O&G was found lowest in outpatient setting as compared to inpatient and high risk settings. Pharmacists' intervention performed at the centralised inpatient pharmacy unit or on-ward has shown to reduce prescribing error in inpatient settings.What do the results of this study add? This study identified that the prescribing error rate in a subspecialised outpatient O&G setting was within the range reported in high risk O&G settings. The number of prescriptions to pharmacists' intervention ratio of 9.8:1 was reported.What are the implications of these findings for clinical practice and/or further research? Further research, preferably qualitative in nature, is recommended to explore, identify and address the factors that may hinder clear, accurate and complete prescription writing practices.