What is the epidemiology of medication errors, error-related adverse events and risk factors for errors in adults managed in community care contexts? A systematic review of the international literature

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.

Isometric Exercise Training and Arterial Hypertension: An Updated Review

Hypertension is recognised as a leading attributable risk factor for cardiovascular disease and premature mortality. Global initiatives towards the prevention and treatment of arterial hypertension are centred around non-pharmacological lifestyle modification. Exercise recommendations differ between professional and scientific organisations, but are generally unanimous on the primary role of traditional aerobic and dynamic resistance exercise. In recent years, isometric exercise training (IET) has emerged as an effective novel exercise intervention with consistent evidence of reductions in blood pressure (BP) superior to that reported from traditional guideline-recommended exercise modes. Despite a wealth of emerging new data and endorsement by select governing bodies, IET remains underutilised and is not widely prescribed in clinical practice. This expert-informed review critically examines the role of IET as a potential adjuvant tool in the future clinical management of BP. We explore the efficacy, prescription protocols, evidence quality and certainty, acute cardiovascular stimulus, and physiological mechanisms underpinning its anti-hypertensive effects. We end the review with take-home suggestions regarding the direction of future IET research.

Lessons learnt on patient safety in dentistry through a 5-year nationwide database study on iatrogenic harm

Safe delivery of care is a priority in dentistry, while basic epidemiological knowledge of patient safety incidents is still lacking. The objectives of this study were to (1) classify patient safety incidents related to primary dental care in Denmark in the period 2016-2020 and study the distribution of different types of dental treatment categories where harm occurred, (2) clarify treatment categories leading to "nerve injury" and "tooth loss" and (3) assess the financial cost of patient-harm claims. Data from the Danish Dental Compensation Act (DDCA) database was retrieved from all filed cases from 1st January 2016 until 31st December 2020 pertaining to: (1) The reason why the patient applied for treatment-related harm compensation, (2) the event that led to the alleged harm (treatment category), (3) the type of patient-harm, and (4) the financial cost of all harm compensations. A total of 9069 claims were retrieved, of which 5079 (56%) were found eligible for compensation. The three most frequent categories leading to compensation were "Root canal treatment and post preparation"(n = 2461, 48% of all approved claims), "lack of timely diagnosis and initiation of treatment" (n = 905, 18%) and "surgery" (n = 878, 17%). Damage to the root of the tooth accounted for more than half of all approved claims (54.36%), which was most frequently a result of either parietal perforation during endodontic treatment (18.54%) or instrument fracture (18.89%). Nerve injury accounted for 16.81% of the approved claims. Total cost of all compensation payments was €16,309,310, 41.1% of which was related to surgery (€6,707,430) and 20.4% (€3,322,927) to endodontic treatment. This comprehensive analysis documents that harm permeates all aspects of dentistry, especially in endodontics and surgery. Neglect or diagnostic delays contribute to 18% of claims, indicating that harm does not solely result from direct treatment. Treatment harm inflicts considerable societal costs.

Development and implementation of medication-related clinical rules for obstetrics, gynaecology, and paediatric outpatients

OBJECTIVES

Prescription errors can cause serious adverse drug events. Clinical decision support systems prevent prescription errors; however, real-time clinical rules in obstetrics, gynaecology, and paediatric outpatients remain unexplored. We evaluated the effects of localised, real-time clinical rules on alert rates and acceptance rates compared with manual prescription review.

METHODS

We developed real-time clinical rules that incorporate information systems to obtain characteristic information and laboratory values. We conducted a retrospective cohort study to compare the alert and recommendation acceptance rates of all prescription error types before and after clinical rule implementation in obstetrics, gynaecology, and paediatrics. Clinical rules, prescription error types, and alerts were determined by a prescribing review committee comprising physicians, pharmacists, nurses, and administrators. The difference in alert and acceptance rates between the groups was analysed using relative risk.

RESULTS

The number of alerts increased after clinical rules implementation; the number of on-duty pharmacists for review decreased from 10 to 2. Compared with those with manual review, the alert rates for paediatrics and obstetrics and gynaecology increased with the clinical rules by 3.97- and 11.26-fold, respectively, and the alert rates for drug-drug interactions (DDIs) and combined medication errors in obstetrics and gynaecology increased with the clinical rules by 26.10- and 26.54-fold, respectively. In paediatrics, the alert rate for all prescription error types was higher with the clinical rules review than with the manual review; the alert rates for DDI, dosage, and combination medication errors were significantly different between the clinical rules and the manual review. However, there was no difference in the recommendation acceptance rate between the manual review and the clinical rules.

CONCLUSIONS

Clinical rules can identify prescription errors that manual review cannot detect and ensure real-time review efficiency in high-volume outpatient prescription settings. The high acceptance rate and modification of prescriptions may be relevant to highly customised and localised clinical rules.

Pharmacovigilance teaching and learning: a mixed cross-sectional analysis of the Portuguese public higher education system

Pharmacovigilance stands out for its importance in obtaining existing knowledge about medicine and patient safety and should be recognized as a continuous line of study. It constitutes a highly relevant component in the activities of health professionals, with spontaneous notification of suspected adverse drug reactions being its main emphasis. The underreporting that persists can be overcome through continuous professional development programs, reinforcing theoretical and practical knowledge in the curricular plans of health courses. As a result, more educated professionals will also allow citizens to recognize the importance of pharmacovigilance. The main objective of this study was to describe and characterize the teaching-learning process of pharmacovigilance in Portugal, analyzing the knowledge, perceptions and attitudes of students and health professionals. In total, ninety-three curricular unit forms of the seventeen healthcare courses included were analyzed, among which only three referred to pharmacovigilance as mandatory and thirty-nine did not address any keywords. The questionnaire applied was answered by 650 participants, both students (62%) and professionals (38%). Approximately 84.4% of the students and 54.7% of the professionals affirmed that they had never spontaneously reported an adverse drug reaction. Only 24.6% of the students and 17.8% of professionals referred to the existence of specific course content dedicated to pharmacovigilance in their coursework. In view of these results, it is evident that there is a need for a wider reflection regarding the further training and constant update of practicing professionals as well as in diverse health institutions, investing in the creation of an academic curriculum that integrates pharmacovigilance in healthcare courses.

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

BACKGROUND

Medication errors, including dispensing errors, represent a substantial worldwide health risk with significant implications in terms of morbidity, mortality, and financial costs. Although pharmacists use methods like barcode scanning and double-checking for dispensing verification, these measures exhibit limitations. The application of artificial intelligence (AI) in pharmacy verification emerges as a potential solution, offering precision, rapid data analysis, and the ability to recognize medications through computer vision. For AI to be embraced, it must be designed with the end user in mind, fostering trust, clear communication, and seamless collaboration between AI and pharmacists.

OBJECTIVE

This study aimed to gather pharmacists' feedback in a focus group setting to help inform the initial design of the user interface and iterative designs of the AI prototype.

METHODS

A multidisciplinary research team engaged pharmacists in a 3-stage process to develop a human-centered AI system for medication dispensing verification. To design the AI model, we used a Bayesian neural network that predicts the dispensed pills' National Drug Code (NDC). Discussion scripts regarding how to design the system and feedback in focus groups were collected through audio recordings and professionally transcribed, followed by a content analysis guided by the Systems Engineering Initiative for Patient Safety and Human-Machine Teaming theoretical frameworks.

RESULTS

A total of 8 pharmacists participated in 3 rounds of focus groups to identify current challenges in medication dispensing verification, brainstorm solutions, and provide feedback on our AI prototype. Participants considered several teaming scenarios, generally favoring a hybrid teaming model where the AI assists in the verification process and a pharmacist intervenes based on medication risk level and the AI's confidence level. Pharmacists highlighted the need for improving the interpretability of AI systems, such as adding stepwise checkmarks, probability scores, and details about drugs the AI model frequently confuses with the target drug. Pharmacists emphasized the need for simplicity and accessibility. They favored displaying only essential information to prevent overwhelming users with excessive data. Specific design features, such as juxtaposing pill images with their packaging for quick comparisons, were requested. Pharmacists preferred accept, reject, or unsure options. The final prototype interface included (1) checkmarks to compare pill characteristics between the AI-predicted NDC and the prescription's expected NDC, (2) a histogram showing predicted probabilities for the AI-identified NDC, (3) an image of an AI-provided "confused" pill, and (4) an NDC match status (ie, match, unmatched, or unsure).

CONCLUSIONS

In partnership with pharmacists, we developed a human-centered AI prototype designed to enhance AI interpretability and foster trust. This initiative emphasized human-machine collaboration and positioned AI as an augmentative tool rather than a replacement. This study highlights the process of designing a human-centered AI for dispensing verification, emphasizing its interpretability, confidence visualization, and collaborative human-machine teaming styles.

Prevalence of polypharmacy in heart failure patients: A retrospective cross-sectional study in a tertiary hospital in Saudi Arabia

Background

Cardiovascular disease is the leading cause of death and disability worldwide. It is a general term used to describe a group of disorders that affect the heart or blood vessels. This study aimed to evaluate the prevalence and predictors of polypharmacy in patients with heart failure.

Methods

We conducted a cross-sectional study in a tertiary hospital in Saudi Arabia. Data was extracted from an electronic database between January 2019, and December 2022. The study included all adult patients with heart failure who visited outpatient clinics; individuals with cancer were excluded. The outcome variable in our study was "polypharmacy" which was defined as the use of eight or more medications. Descriptive analysis was performed using frequencies and percentages for categorical variables. In addition, Multivariate logistic regression was used to assess the covariates associated with polypharmacy.

Results

A total of 331 patients with heart failure were included in this study. The prevalence of polypharmacy among our HF population was 39.88 %. Most participants were male (60.73 %), and 60 years or older (68 %). The most frequently used medications were beta-blockers (67.98 %) and diuretics (58.31 %), whereas the least frequently used medications were hydralazine and histamine H2 blockers (5.74, and 3.02 %, respectively). Polypharmacy was likely to be a non-significantly higher in individuals aged between 60 and 69 years (adjusted odds ratio (AOR) = 1.52; 95 % confidence interval (CI) 0.78-2.98) and suffering from hypertension (AOR = 1.48; 95 % CI 0.83-2.64). However, patients with heart failure and diabetes mellitus had a significant six-fold higher of polypharmacy than those without diabetes mellitus (AOR = 6.55; 95 % CI 3.71-11.56).

Conclusion

Patients with heart failure often use multiple medications. Patients with heart failure together with diabetes have a higher risk of polypharmacy. Therefore, healthcare professionals should manage polypharmacy to improve the outcomes in patients with heart failure.

A refined management system focusing on medication dispensing errors: A 14-year retrospective study of a hospital outpatient pharmacy

Objectives

This study aimed to evaluate the efficiency of a 14-year refined management system for the reduction of dispensing errors in a large-scale hospital outpatient pharmacy and to determine the effects of person-related and environment-related factors on the occurrence of dispensing errors.

Methods

A retrospective study was performed. Data on dispensing errors, inventory and account management from 2008 to 2021 were collected from the electronic system and evaluated using the direct observation method and the Plan-Do-Check-Act (PDCA) cycle.

Results

The consistency of the inventory and accounts increased substantially (from 86.93 % to 99.75 %) with the implementation of the refined management program. From 2008 to 2021, the total number of dispensing errors was reduced by approximately 96.1 %. The number of dispensing errors in quantity and name was reduced by approximately 98.2 % and 95.07 %, respectively. A remarkable reduction in the error rate was achieved (from 0.014 % to 0.00002 %), and the rate of dispensing errors was significantly reduced (0.019 % vs. 0.0003 %, p < 0.001). Across all medication dispensing errors, human-related errors decreased substantially (208 vs. 7, p < 0.05), as did non-human-related errors also (202 vs. 9, p < 0.05). There was a correlation between the occurrence of errors and pharmacists' sex (females generally made fewer errors than males), age (more errors were made by those aged 31-40 years), and working years (more errors were made by those with more than 11 years of work experience) from 2016 to 2021. The technicians improved during this procedure.

Conclusions

Refined management using the PDCA cycle was helpful in preventing dispensing errors and improving medication safety for patients.

Implementation Status and Challenges Associated With Implementation of the Targeted Medication Safety Best Practices in a Tertiary Hospital

Background The Institute for Safe Medication Practices (ISMP) is a well-known non-profit organization dedicated to preventing medication errors. Every two years they publish best practices that can reduce the occurrence of medication errors. This study aims to evaluate the implementation status of these best practices and to understand barriers associated with non-implementation at a tertiary hospital in Saudi Arabia. Methodology This was a two-phase qualitative study. First, a survey consisting of the ISMP best practices was sent to employees (mainly heads of departments) to fill out the implementation rate for each best practice. Then an interview or a focus group was conducted to further validate their answers and understand why some best practices were not implemented. Results Our study found that the highest implemented best practices were having strategies to improve safety with high-alert medications (best practice #19, 85.7%), having antidotes and reversal agents readily available (best practice #9, 75%), independent verification of sterile preparation (best practice #11, 75%), and limiting the number of removable medications from the automated dispensing unit by override (best practice #16, 75%). The least implemented best practices were ensuring that oral liquid medications are dispensed in a syringe (best practice #4, 12.5%), maximizing use of barcode verification (best practice #18, 12.5%), purchasing oral liquid dosing devices that display metric scale (best practice #5, 25%), eliminating glacial acetic acid from all areas of the hospital (best practice #6, 28.6%), and eliminating all 1,000 mL of sterile water from all areas outside of the pharmacy (best practice #10, 28.6%). Challenges associated with implementation were related to knowledge, motivation, and opportunity in the environment, with the latter being the highest barrier associated with non-implementation. Conclusions Healthcare providers need to have knowledge about the best practices and the rationale behind them, the motivation to perform them, and the necessary resources to implement the best practices in their hospital.

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

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

Evaluation of medication errors in patients with kidney diseases in Quetta, Pakistan

BACKGROUND

Medication errors represent a significant challenge in healthcare, as they can lead to enduring harm for patients and impose substantial financial burdens on the healthcare system. To effectively mitigate medication errors, it is imperative to gain a comprehensive understanding of their frequency and the contributing variables. Thus, the primary objective of this study was to evaluate the occurrence of medication errors among patients with kidney diseases in Quetta, Pakistan.

METHODS

The objective of this study was to assess medication errors in patients diagnosed with kidney diseases in Quetta, Pakistan. The research was conducted at the Balochistan Institute of Nephro-Urology Quetta (BINUQ) Hospital, which serves as a tertiary care center specializing in the treatment of kidney diseases. A cross-sectional descriptive study design was employed over a period of six months. The study population consisted of patients admitted to the Nephro-urology wards at BINUQ Hospital during the specified duration. Data collection encompassed various methodologies, including checklist-guided observation, review of prescription order forms, documentation of drug administration, and comprehensive analysis of patient medical records. Descriptive and analytical analyses were conducted using SPSS version 23. Univariate analysis was employed to identify independent variables associated with medication errors, employing a significance level of p<0.01. The multivariate logistic regression analysis incorporated variables that exhibited a significant association with medication errors during the univariate analysis. Only those variables demonstrating a p-value of less than 0.05 at a 95% confidence level were considered significant predictors of medication administration errors within the final multivariate model.

RESULTS

Among the 274 medication errors identified in the study, documentation errors accounted for 118 cases (12.06%), administration errors for 97 cases (9.91%), prescribing errors for 34 cases (3.47%), and dispensing errors for 25 cases (2.55%). Statistical analysis revealed significant associations (p<0.05) between forgetfulness and duty shift, and medication errors in the documentation process. Similarly, inattention was significantly associated (p<0.05) with both prescribing and dispensing errors. Furthermore, the number of medications received emerged as the most influential factor associated with medication errors. Patients receiving 4-6 medications exhibited an odds ratio of 9.08 (p<0.001) compared to patients receiving 1-3 medications, while patients receiving more than 6 medications had an odds ratio of 4.23 (p<0.001) in relation to patients receiving 1-3 medications.

CONCLUSION

In conclusion, this study determined that documentation errors were the most prevalent medication errors observed in patients with kidney disease in Quetta, Pakistan. Forgetfulness and duty shift were associated with documentation errors, whereas inattention was linked to prescribing and dispensing errors. The significant risk factor for medication errors was found to be a high number of prescribed medications. Therefore, strategies aimed at reducing medication errors should prioritize enhancements in documentation practices, alleviating medication burden, and increasing awareness among healthcare providers.

Risk Factors for Potential Drug-Drug Interactions in Outpatients with Dyslipidemia

Background

Patients with dyslipidemia are usually multimorbid and require polypharmacy. Therefore, it is important to identify potential drug-drug interactions (pDDIs) in time to prevent their consequences. We aimed to identify and analyze risk factors contributing to their occurrence to guide health professionals.

Methods

A prospective cross-sectional study of 216 outpatients with dyslipidemia was conducted from May 2021 to April 2022 in Podgorica, the capital of Montenegro. pDDIs were identified using Medscape, Epocrates, and Drugs online interaction checkers. Multivariate regression analysis was performed to evaluate the potential predictors of interactions.

Results

pDDIs were detected in 212 (98.1%) participants, whereas pDDIs with high clinical significance were detected in 25.46%, 40.74%, and 58.8% of subjects by Drugs, Epocrates, and Medscape, respectively. Polypharmacy emerged as a risk factor for the occurrence of pDDIs in all three checkers in each category of clinical significance. The use of non-steroidal anti-inflammatory drugs and antiplatelet drugs contributes to the incidence of severe pDDIs B=1.014, 95%CI 0.681-1.346, P=0.000 and B=0.492, 95%CI 0.286-0.698, P=0.000, by Epocrates and Medscape respectively. The number of prescribers per patient was a protective factor against moderate pDDI B= -0.858, 95%CI -1.572-(-0.144), P=0.019 and B= -0.956, 95%CI -1.671-(-0.241), P=0.009, by Medscape and Epocrates, respectively, but a risk factor for the occurrence of minor pDDIs B=0.373, 95%CI 0.033-0.712 P=0.032 and B=0.143, 95%CI 0.042-0.244, P=0.006, by the same checkers.

Conclusion

Knowledge of the risk factors contributing to the occurrence of pDDIs is important for the development and implementation of strategies for their prevention, and given the high prevalence of dyslipidemia, understanding these factors seems crucial nowadays.

Classifying Polypharmacy According to Pharmacotherapeutic and Clinical Risks in Older Adults: A Latent Class Analysis in Quebec, Canada

INTRODUCTION

The simplistic definition of polypharmacy, often designated as the concomitant use of five medications or more, does not distinguish appropriate from inappropriate polypharmacy. Classifying polypharmacy according to varying levels of health risk would help optimise medication use.

OBJECTIVE

We aimed to characterise different types of polypharmacy among older adults and evaluate their association with mortality and institutionalisation.

METHODS

Using healthcare databases from the Quebec Integrated Chronic Disease Surveillance System, we selected a community-based random sample of the population ≥ 66 years old covered by the public drug plan. Categorical indicators used to describe polypharmacy included number of medications, potentially inappropriate medications (PIMs), drug-drug interactions, enhanced surveillance medications, complex route of administration medications, anticholinergic cognitive burden (ACB) score and use of blister cards. We used a latent class analysis to subdivide participants into distinct groups of polypharmacy. Their association with 3-year mortality and institutionalisation was assessed with adjusted Cox models.

RESULTS

In total, 93,516 individuals were included. A four-class model was selected with groups described as (1) no polypharmacy (46% of our sample), (2) high-medium number of medications, low risk (33%), (3) medium number of medications, PIM use with or without high ACB score (8%) and (4) hyperpolypharmacy, complex use, high risk (13%). Using the class without polypharmacy as the reference, all polypharmacy classes were associated with 3-year mortality and institutionalisation, with the most complex/inappropriate classes denoting the highest risk (hazard ratio [HR] [95% confidence interval]: class 3, 70-year-old point estimate for mortality 1.52 [1.30-1.78] and institutionalisation 1.86 [1.52-2.29]; class 4, 70-year-old point estimate for mortality 2.74 [2.44-3.08] and institutionalisation 3.11 [2.60-3.70]).

CONCLUSIONS

We distinguished three types of polypharmacy with varying pharmacotherapeutic and clinical appropriateness. Our results highlight the value of looking beyond the number of medications to assess polypharmacy.

Evaluation of the impact of pharmaceutical trainings and tools on the proper use of medicines in pediatrics

Introduction: After six years of medication errors' (MEs) collection and analysis in a pediatric unit of a French University Hospital, the number of MEs was no longer decreasing. We then decided to set up pharmaceutical training and tools and evaluate their impact on the occurrence of ME. Materials and methods: This monocentric prospective study was carried out in the form of audits of prescriptions, preparations, and administrations before and after intervention (A1 and A2). After the analysis of A1 results, feedback was given to the teams, some tools for the proper use of medication (PUM) were distributed, and A2 was conducted. Finally, A1 and A2 results were compared. Results: Each audit included 202 observations. A total of 120 MEs were identified during A1 and 54 for A2 (p < 0.0001). The observation rate with at least 1 ME decreased from 39.11% to 21.29% (p < 0.0001), and no observation had more than two MEs during A2 in contrast to A1 (n = 12). Human factors were responsible for the majority of MEs. The audit feedback allowed professionals to feel concerned about ME. The PUM tools received an average satisfaction rating of 9/10. The staff had never participated in this type of training, and all felt it was useful to apply PUM. Conclusion: This study showed a significant impact of pharmaceutical training and tools on the pediatric PUM. Clinical pharmaceutic actions allowed us to reach our objectives and satisfied all the staff. They must, therefore, be continued to limit human factors' impact and thus contribute to the safety of drug management in pediatrics.

Self-assessed medication risk factors as part of comprehensive health screening in home-dwelling older adults

Background

Poor medication management may negatively impact the health and functional capacity of older adults. This cross-sectional study aimed to identify medication-related risk factors in home-dwelling residents using a validated self-assessment as part of comprehensive health screening.

Methods

The data were derived from comprehensive health screening (PORI75) for older adults of 75 years living in Western Finland in 2020 and 2021. One of 30 validated measures in health screening focused on identifying medication-related risk factors (LOTTA Checklist). The Checklist items were divided into (1) systemic risk factors (10 items) and (2) potentially drug-induced symptoms (10 items). Polypharmacy was categorized according to the number of used drugs: (1) no polypharmacy (<5 drugs), (2) polypharmacy (≥5 and <10), and (3) excessive polypharmacy (≥10). The linearity across these three polypharmacy groups was evaluated using the Cochran-Armitage test.

Results

Altogether, 1024 out of 1094 residents who participated in the health screening consented to this study (n = 569 in 2020 and n = 459 in 2021). The mean number of all drugs in use was 7.0 (range 0-26; SD 4.1), with 71% of the residents using >5 drugs, that is, having polypharmacy. Of the systemic risk factors most common was that the resident had more than one physician responsible for the treatment (48% of the residents), followed by missing drug list (43%), missing regular monitoring (35%), and unclear durations of the medication (35%). The most experienced potentially drug-induced symptoms were self-reported constipation (21%), urinating problems (20%), and unusual tiredness (17%). An increasing number of drugs in use, particularly excessive polypharmacy, was associated with various medication-related risk factors.

Conclusion

As a part of comprehensive health screening the LOTTA Checklist provides useful information to prevent medication-related risk factors in home-dwelling older adults. The Checklist could be used to guide planning and implementing health services in the future.

Nurses' experiences of discrimination in health care: A qualitative study in Iran

BACKGROUND

Justice in health is one of the main concerns of health organizations, and discrimination in health care is one of the negative outcomes to achieving this goal. Hence, a full understanding of the phenomenon of discrimination in health care and adopting strategies to eliminate it is necessary. The present study was conducted to explore and describe the experiences of nurses of discrimination in health care.

MATERIALS AND METHODS

The present qualitative content analysis study was conducted between 2019 and 2020. Data were collected through semi-structured interviews with 18 participants (two physicians, three nursing supervisors, two head nurses, four clinical nurses, two nursing assistants, and three hospitalized patients) in one public and one private hospital in the city of Tehran. The participants were selected by purposive sampling, which continued until saturation of data. Data obtained were analyzed using the Graneheim and Lundman method.

RESULTS

Four main categories and 14 subcategories were extracted from data analysis: 1) habitual discrimination (everyday discrimination in health centers, ignoring patient rights, low levels of trust in medical staff); 2) interpersonal relationships (expectations of associates, respect for colleagues and friends, the possibility of the occurrence of similar situations, reciprocating people's favors); 3) shortage of health-care resources (shortage of medical equipment, heavy workload, infrastructure of medical centers, lack of access to physicians); and 4) favoritism (ethnicity, favoritism as a common method, and favoritism as the ultimate solution to treatment problems).

CONCLUSION

The present study revealed certain dimensions of discrimination in health care that remain hidden in many quantitative studies. It appears that health system managers will be able to move toward eliminating discrimination in health care. Thus, designing effective models to reduce discrimination in health care based on the underlying concepts of this study is recommended.

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.

Shortages of antiseizure medications in Australia and the association with patient switching, and adherence in a community setting

PURPOSE

To quantify sponsor-reported shortages of oral antiseizure medications in Australia, estimate the number of patients impacted, and the association between shortages and brand or formulation switching, and changes in adherence.

METHODS

A retrospective cohort study of sponsor-reported shortages (defined as where the supply of a medicine will not or will not be likely to meet the demand over a 6-month period) of antiseizure medications reported to the Medicine Shortages Reports Database (Therapeutic Goods Administration, Australia); cross-referencing shortages to the IQVIA-NostraData Dispensing Data (LRx) database, a deidentified, population-level dataset collecting longitudinal dispensation data on individual patients from ∼75% of Australian community pharmacy scripts.

RESULTS

Ninety-seven sponsor-reported ASM shortages were identified between 2019 and 2020; of those, 90 (93%) were shortages of generic ASM brands. Of 1,247,787 patients dispensed ≥1 ASMs, 242,947 (19.5%) were impacted by shortages. Sponsor-reported shortages occurred more frequently before the COVID-19 pandemic versus during the pandemic, however, shortages were estimated to affect more patients during the pandemic than before the pandemic. An estimated 330,872 patient-level shortage events were observed, and 98.5% were associated with shortages of generic ASM brands. Shortages occurred at a rate of 41.06 shortages per 100 person-years in patients on generic ASM brands versus 0.83 shortages per 100 person-years in patients on originator ASM brands. In patients taking a formulation of levetiracetam affected by a shortage, 67.6% switched to a different levetiracetam brand or formulation during shortages compared with 46.6% in non-shortage periods.

CONCLUSIONS

Approximately 20% of patients on ASMs were estimated to have been impacted by an ASM shortage in Australia. The rate of patient-level shortages was approximately 50 times higher for patients on generic ASM brands versus originator brands. Shortages of levetiracetam were associated with formulation and brand switching. Improved supply chain management amongst sponsors of generic ASMs is needed to maintain the continuity of supply in Australia.

Multidrug Interactions: Why Do They Occur and How to Handle?

A nonoptimized medication therapy (NOMT) event is an iatrogenic hazard or incident associated with medications and is a leading cause of death, serious injury, and illness. NOMT events are often related to multidrug interactions in patients with polypharmacy. In these patients, NOMT events can be avoided by using advanced clinical decision support systems and clinical interventions such as separating the time of administration of certain drugs during the day. At the individual level, medication reconciliation is a first logical step for reducing adverse side effects. Then, intersubject variability in drug response should be considered to optimize patient drug regimens. Furthermore, patient pharmacogenomic status information can help ensure appropriateness of drug therapy. However, in patients with polypharmacy, such information is most valuable when combined with phenoconversion probability. At a population level, the virtual addition of drugs to various drug regimens and the use of a medication risk score can help predict the risk of NOMT events. This review outlines some of the mechanisms behind multidrug interactions and their association with drug safety and NOMTs, polypharmacy and its impact on patient outcomes, the value of pharmacogenomics, and an assessment of simulation studies and the virtual addition of drugs to a drug regimen using real-world data. (Clin Ther. 2023;45:XXX-XXX) © 2023 Elsevier HS Journals, Inc.

What to learn from analysis of medical disputes related to medication errors in nursing care

BACKGROUND

Nurses, who are the last safeguard against and have the final opportunity to prevent medication errors (MEs), play a vital role in patient safety by managing medications.

OBJECTIVE

This study described the characteristics of medical dispute cases, medication information, and stage and types of MEs in Korea.

METHODS

We performed a descriptive analysis of 27 medical dispute cases related to MEs in nursing care in Korea.

RESULTS

Around 77.7% of patients suffered serious harm or died due to MEs in this study. The types of medications included anxiolytics and analgesics, and 51.9% of them were high-alert medications. Among cases of administration errors, failure to patient assessment before and after administration was the most common error followed by administering the wrong dose.

CONCLUSION

Nurses should perform their duties to ensure safety and improve the quality of nursing care by monitoring patients after administering medications and should be prepared to take quick action to reduce harm.

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.

Medication safety incidents associated with the remote delivery of primary care: a rapid review

OBJECTIVES

The COVID-19 pandemic triggered rapid, fundamental changes, notably increased remote delivery of primary care. While the impact of these changes on medication safety is not yet fully understood, research conducted before the pandemic may provide evidence for possible consequences. To examine the published literature on medication safety incidents associated with the remote delivery of primary care, with a focus on telemedicine and electronic prescribing.

METHODS

A rapid review was conducted according to the Cochrane Rapid Reviews Methods Group guidance. An electronic search was carried out on Embase and Medline (via PubMed) using key search terms 'medication error', 'electronic prescribing', 'telemedicine' and 'primary care'. Identified studies were synthesised narratively; reported medication safety incidents were categorised according to the WHO Conceptual Framework for the International Classification for Patient Safety.

KEY FINDINGS

Fifteen studies were deemed eligible for inclusion. All 15 studies reported medication incidents associated with electronic prescribing; no studies were identified that reported medication safety incidents associated with telemedicine. The most commonly reported medication safety incidents were 'wrong label/instruction' and 'wrong dose/strength/frequency'. The frequency of medication safety incidents ranged from 0.89 to 81.98 incidents per 100 electronic prescriptions analysed.

SUMMARY

This review of medication safety incidents associated with the remote delivery of primary care identified common incident types associated with electronic prescriptions. There was a wide variation in reported frequencies of medication safety incidents associated with electronic prescriptions. Further research is required to determine the impact of the COVID-19 pandemic on medication safety in primary care, particularly the increased use of telemedicine.

Use of Failure Mode and Effects Analysis (FMEA) for Risk Analysis of Drug Use in Patients with Lung Cancer

It is crucial to investigate the risk factors inherent in the medication process for cancer patients since improper antineoplastic drug use frequently has serious consequences. As a result, the Severity, Occurrence, and Detection rate of each potential failure mode in the drug administration process for patients with lung cancer were scored using the Failure Mode and Effect Analysis (FMEA) model in this study. Then, the risk level of each failure mode and the direction of improvement were investigated using the Slacks-based measure data envelopment analysis (SBM-DEA) model. According to the findings, the medicine administration process for lung cancer patients could be classified into five links, with a total of 60 failure modes. The risk of failure modes for patient medication and post-medication monitoring ranked highly, with unauthorized use of traditional Chinese medicine and folk prescription and unauthorized drug addition (incorrect self-medication) ranking first (1/60); doctor prescription was also prone to errors. The study advises actively looking at ways to decrease the occurrence and difficulty of failure mode detection to continually enhance patient safety when using medications.

Factors which influence the deprescribing decisions of community-living older adults and GPs in Australia

Deprescribing aims to reduce polypharmacy and inappropriate medication use. Both General Practitioners (GPs) and older adults have expressed a willingness to consider deprescribing. However, deprescribing is often deferred in practice. The aim of this study was to identify factors which influence GP and older adult decisions about deprescribing in primary care. Semi-structured interviews were used in this qualitative study, conducted in a regional area in Australia. Participants included GPs and adults aged 65 years or older, using five or more medications and living independently in the community. Data were collected between January 2018 and May 2019. Thematic analysis was used to analyse the verbatim transcribed interviews using NVivo 12. A total of 41 interviews were conducted, 25 with older adults and 16 with GPs. Four key themes influenced deprescribing decisions: views of ageing, shared decision-making, attitudes toward medication use and characteristics of the health care environment. Discussions of deprescribing were limited by the influence of negative stereotypes toward age and ageing, a lack of older adult participation in shared decision-making, a positive attitude towards ongoing medication use and perception of the normality of using medications in older age. Time constraints, poor communication about prescribing information and unclear roles regarding responsibility for deprescribing also prevented discussions. Continuity of care, involvement of older adults in medication reviews and GPs who asserted their generalist role were the main factors which promoted discussion of deprescribing. GPs are well placed to discuss deprescribing with their older patients because they are trusted and can provide continuity of care. Actively encouraging and involving older adults in medication reviews in order to understand their preferences, supports shared decision-making about deprescribing. Active involvement may also reduce the influence of negative views of ageing held by both older adults and GPs.

Effects of Dimensional Analysis on Infusible Medication Calculation Skills Among Nursing Students in an Intensive Care Unit

Medication errors are among the most common life-threatening mistakes made in health care. The ability to accurately calculate drug doses, especially in intensive care units (ICUs), where the majority of medications are infused, reduces medication errors. Researchers have proposed dimensional analysis to improve mathematical calculations of drugs. This study was conducted to determine the effects of dimensional analysis on the infusible medication calculation skills among nursing students in ICUs. In this quasi-experimental study, the research samples consisted of sixth-semester nursing students who were assigned to an intervention group (n = 34) and a control group (n = 32). For the intervention group, the calculations of common infusible drugs in the ICU were taught using the dimensional analysis method, whereas the control group received training without the dimensional analysis method. Data collection instruments included a demographic characteristics questionnaire and a 10-item questionnaire of drug calculations that were measured before and after the intervention in both groups. Data analysis was performed using SPSS 22. The mean pretest scores for infusible drug calculations of nursing students in the ICU were 5.15 ± 2.35 for the intervention group and 5.25 ± 2.56 for the control group (P = .86). The mean posttest scores of the intervention group and control group were 9.22 ± 0.79 and 6.27 ± 1.87, respectively (P = .0001). Dimensional analysis training significantly improved the infusible medication calculation skills of nursing students in the ICU. It is recommended to include this method in undergraduate, graduate, and continuing education nursing courses to increase skills in calculating infusible drugs and to reduce medication errors.

Safe Medication of Elderly Through Development and Evaluation of an Intervention (SAME): Protocol for a Fully Integrated Mixed Methods Study with Co-creative Approach (Preprint)

BACKGROUND

Medication safety is increasingly challenging patient safety in growing aging populations. Developing positive patient safety cultures is acknowledged as a primary goal to improve patient safety, but evidence on the interventions to do so is inconclusive. Nursing home residents are often cognitively and physically impaired and are therefore highly reliant on frontline health care providers. Thus, interventions to improve medication safety of nursing home residents through patient safety culture among providers are needed. Using cocreative partnerships, integrating knowledge of residents and their relatives, and ensuring managerial support could be beneficial.

OBJECTIVE

The primary aim of the Safe Medication of Nursing Home Residents Through Development and Evaluation of an Intervention (SAME) study is to improve medication safety for nursing home residents through developing an intervention by gaining experiential knowledge of patient safety culture in cocreative partnerships, integrating knowledge of residents and their relatives, and ensuring managerial support.

METHODS

The fully integrated mixed method study will be conducted using an integrated knowledge translation approach. Patient safety culture within nursing homes will first be explored through qualitative focus groups (stage 1) including nursing home residents, their relatives, and frontline health care providers. This will inform the development of an intervention in a multidisciplinary panel (stage 2) including cocreators representing the medication management process across the health care system. Evaluation of the intervention will be done in a randomized controlled trial set at nursing homes (stage 3). The primary outcome will be changes in the mean scale score of an adapted version of the Danish "Safety Attitudes Questionnaire" (SAQ-DK) for use in nursing homes. Patient safety-related outcomes will be collected through Danish health registers to assess safety issues and effects, including medication, contacts to health care, diagnoses, and mortality. Finally, a mixed methods analysis on patient safety culture in nursing homes will be done (stage 4), integrating qualitative data (stage 1) and quantitative data (stage 3) to comprehensively understand patient safety culture as a key to medication safety.

RESULTS

The SAME study is ongoing. Focus groups were carried out from April 2021 to September 2021 and the workshop in September 2021. Baseline SAQ-DK data were collected in January 2022 with expected follow-up in January 2023. Final data analysis is expected in spring 2024.

CONCLUSIONS

The SAME study will help not only to generate evidence on interventions to improve medication safety of nursing home residents through patient safety culture but also to give insight into possible impacts of using cocreativity to guide the development. Thus, findings will address multiple gaps in evidence to guide future patient safety improvement efforts within primary care settings of political and scientific scope.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04990986; https://clinicaltrials.gov/ct2/show/NCT04990986.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/43538.

Pharmacist and patient experiences of primary care during the COVID-19 pandemic: An interview study

Introduction

A number of significant changes designed to reduce the spread of COVID-19 were introduced in primary care during the COVID-19 pandemic. In Ireland, these included fundamental legislative and practice changes such as permitting electronic transfer of prescriptions, extending duration of prescription validity, and encouraging virtual consultations. Although such interventions served an important role in preventing the spread of infection, their impact on practice and patient care is not yet clear. The aim of this study was to investigate patient and healthcare professional (pharmacist and general practitioner) experiences to understand the impact of COVID-19 on primary care and medication safety during the first two years of the COVID-19 pandemic in Ireland.

Methods

A qualitative study using semi-structured interviews was undertaken between October 2021 and January 2022. Participants included twelve patients, ten community pharmacists, and one general practitioner. Interviews were transcribed verbatim and analysed using thematic analysis. Only patient and pharmacist interviews were included.

Findings

Themes from the interviews included: 1) Access to care, 2) Technological changes, 3) Experiences of care, and 4) Patient safety. Particular challenges identified included the difficulty faced by patients when accessing care, impacts on experiences of patient care, and extensive changes to pharmacy practice during the pandemic.

Conclusions

This study found that COVID-19 countermeasures considerably impacted patient and pharmacist experiences of primary care in terms of care and medication safety. While many changes were welcomed, others such as virtual consultations were received more cautiously likely due to the rapid and unplanned nature of their introduction. Further research is needed to identify how to optimise these changes to improve pharmacist and patient experience, and to understand the impact on patient safety.

Impact of Pharmaceutical Interventions with STOPP/START and PIM-Check in Older Hospitalized Patients: A Randomized Controlled Trial

Introduction

Pharmaceutical interventions can reduce negative outcomes related to potentially inappropriate prescriptions (PIPs).

Objective

The objective of this study was to compare the impact of interventions on the reduction of PIPs and on different clinical outcomes using two electronic explicit tools.

Methods

A randomized controlled trial was conducted in patients hospitalized between 2018 and 2019 at the Acute Care for Elders unit at Lausanne University Hospital in Switzerland. A medication review was conducted using PIM-Check in the first arm and STOPP/START in the second arm. Proposed interventions were communicated to the physicians. Clinical outcomes evaluated were incidence of falls, delirium, activities of daily living (ADL), length of stay, number of drugs at discharge and hospital readmission.

Results

The 123 included patients (60 in the first arm and 63 in the second arm) were 86.3 ± 6.6 years old, had 3.5 ± 1.7 diseases and were treated by 6.2 ± 2.7 drugs at admission. There was a significant decrease in PIPs in each arm, but no significant difference between arms. The deprescription of nervous system drugs was significantly higher with STOPP/START than with PIM-Check (Chi-square p = 0.025). ADL scores between home and discharge were significantly higher in the STOPP/START arm than in the PIM-Check arm (4.42 vs 3.77; p = 0.040). The predictors of ADL score improvement were the deprescription of nervous system drugs (β = 0.423; 95% CI 0.034–0.812; p = 0.033), the use of STOPP/START (β = 0.798, 95% CI 0.305–1.290; p = 0.002) and a shorter length of hospital stay (β = −0.033, 95% CI − 0.056 to − 0.010; p = 0.005).

Conclusions

Although PIM-Check was non-inferior to STOPP/START in reducing the number of PIPs, STOPP/START had a significantly higher impact on ADL. The use of STOPP/START or the deprescription of two nervous system drugs would allow the patient to acquire almost one more basic function of living. On the other hand, a loss of one point on the ADL score was observed per month of hospitalization.

Clinical Trials Registration Number

NCT04028583.

Frequency, Characteristics, and Predictive Factors of Adverse Drug Events in an Adult Emergency Department according to Age: A Cross-Sectional Study

Adverse drug events (ADEs) are a major public health concern, given their consequences in terms of morbi-mortality and associated healthcare costs. Many studies have focused on the elderly, who are considered particularly vulnerable in this respect. We aimed to determine and compare the frequency, characteristics, and predictive factors of ADEs according to age in an adult population. A prospective seven-year cross-sectional study was conducted in a university hospital emergency department. Structured medication reviews and ADE detection were performed. Patient data and ADE characteristics were collected. Descriptive statistics and logistic regression were performed in two age groups: Group 1 (age < 65 years) and 2 (age ≥ 65 years). Among the 13,653 patients included, 18.4% in Group 1 and 22.6% in Group 2 experienced an ADE. Differences were identified in terms of the ADE type (more ADEs due to noncompliance in Group 1) and ADE symptoms (greater bleeding in Group 2). In the multivariable analysis, several specific predictive factors were identified, including kidney failure and antidiabetic drug use in Group 1 and inappropriate prescription and antithrombotic treatment in Group 2. Analysis by age provided a more refined vision of ADEs as we identified distinct profiles of iatrogenesis. These results will lead to a better detection of ADEs.

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.

Experiences of patients with heart failure with medicines at transition intervention: Findings from the process evaluation of the Improving the Safety and Continuity of Medicines management at Transitions of care (ISCOMAT) programme

BACKGROUND

Medicines are often suboptimally managed for heart failure patients across the transition from hospital to home, potentially leading to poor patient outcomes. The Improving the Safety and Continuity Of Medicines management at Transitions of care programme included: understanding the problems faced by patients and healthcare professionals; developing and co-designing the Medicines at Transitions of care Intervention (MaTI); a cluster randomized controlled trial testing the effectiveness of a complex behavioural MaTI aimed at improving medicines management at the interface between hospitals discharge and community care for patients with heart failure; and a process evaluation. The MaTI included a patient-held My Medicines Toolkit; enhanced communication between the hospital and the patient's community pharmacist and increased engagement of the community pharmacist postdischarge. This paper reports on the patients' experiences of the MaTI and its implementation from the process evaluation.

DESIGN

Twenty one-to-one semi-structured patient interviews from six intervention sites were conducted between November 2018 and January 2020. Data were analysed using the Framework method, involving patients as co-analysts. Interview data were triangulated with routine trial data, the Consolidated Framework for Implementation Research and a logic model.

RESULTS

Within the hospital setting patients engaged with the toolkit according to whether staff raised awareness of the My Medicines Toolkit's importance and the time and place of its introduction. Patients' engagement with community pharmacy depended on their awareness of the community pharmacist's role, support sources and perceptions of involvement in medicines management. The toolkit's impact on patients' medicines management at home included reassurance during gaps in care, increased knowledge of medicines, enhanced ability to monitor health and seek support and supporting sharing medicines management between formal and informal care networks.

CONCLUSION

Many patients perceived that the MaTI offered them support in their medicines management when transitioning from hospital into the community. Importantly, it can be incorporated into and built upon patients' lived experiences of heart failure. Key to its successful implementation is the quality of engagement of healthcare professionals in introducing the intervention.

PATIENT OR PUBLIC CONTRIBUTION

Patients were involved in the study design, as qualitative data co-analysts and as co-authors.

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.

Nurses' knowledge and understanding of obstacles encountered them when administering resuscitation medications: a cross-sectional study from Palestine

BACKGROUND

Medication errors (ME) are one of the most important reasons for patient morbidity and mortality, but insufficient drug knowledge among nurses is considered a major factor in drug administration errors. Furthermore, the complex and stressful systems surrounding resuscitation events increase nursing errors.

AIMS

This study aimed to assess the knowledge about resuscitation medications and understand the obstacles faced by nurses when giving resuscitation medications. Additionally, errors in the reporting of resuscitation medication administration and the reasons that prevented nurses from reporting errors were investigated.

METHODS

A cross-sectional study was conducted in the West Bank, Palestine. Convenient sampling was used to collect data, which was collected via a face-to-face interview questionnaire taken from a previous study. The questionnaire consisted of five parts: demographic data, knowledge of resuscitation medications (20 true/false questions), self-evaluation and causes behind not reporting ME, with suggestions to decrease ME.

RESULTS

A total of 200 nurses participated in the study. Nurses were found to have insufficient knowledge about resuscitation medications (58.6%). A high knowledge score was associated with male nurses, those working in the general ward, the cardiac care unit (CCU), the intensive care unit (ICU) and the general ward. The main obstacles nurses faced when administering resuscitation medication were the chaotic environment in cardiopulmonary resuscitation (62%), the unavailability of pharmacists for a whole day (61%), and different medications that look alike in the packaging (61%). Most nurses (70.5%) hoped to gain additional training. In our study, we found no compatibility in the definition of ME between nurses and hospitals (43.5%).

CONCLUSIONS

Nurses had insufficient knowledge of resuscitation medications. One of the obstacles nurses faced was that pharmacists should appropriately arrange medications, and nurses wanted continuous learning and additional training about resuscitation medications to decrease ME.

Cross-culture adaptation and validation of the Indonesian version of the Hospital Survey on Patient Safety Culture (HSOPSC 2.0)

Background

Hospital Survey on Patient Safety Culture (HSOPSC) is considered one of the most scientifically rigorous tools available with excellent psychometric properties. However, it is not yet available in an Indonesian version.

Objective

This study aimed to determine the validity of the content and psychometric properties of HSOPSC 2.0 for use in Indonesian hospitals.

Methods

The study was divided into three stages: translation, adaptation, and validation. Culture-adaptation was assessed using cognitive interviews with ten direct care nurses who worked in the hospital to evaluate their perceptions and the coherence of the translated items, response categories, and questionnaire directions. Content validity was also done by ten experts from academic and clinical settings. Finally, Confirmatory Factor Analysis (CFA) and reliability testing were conducted among 220 nurses from two Indonesian hospitals.

Results

The cognitive test results indicated that the language clarity was 87.8 % and 84.5% for cultural relevance. The Content Validity Index (CVI) ranged between 0.73 to 1.00, while the construct validity results indicated that each factor had factor loadings above 0.4, from 0.47 to 0.65. The fit indices showed an acceptable fit for the data provided by the 10-factor model, with RMSEA = 0.052, SRMR = 0.089, and CFI = 0.87. The Pearson correlation coefficients between the ten subscales ranged from 0.276 to 0.579 (p < 0.05). The Cronbach's alpha for all sub-scales was more than 0.70, except for organizational learning - continuous improvement, response to error, and communication openness.

Conclusion

This study offers initial evidence of the psychometric properties of the Indonesian-HSOPSC 2.0. Future studies are needed to examine its psychometric features to improve generalizability. However, nurses and other healthcare professionals could use the tool to measure hospital patient safety culture in Indonesia.

Analysis of contributory factors to incidents related to medication assistance for residents taking medicines in residential care homes for the elderly: a qualitative interview survey with care home staff

Background

In Japan, staff who are not doctors or nurses can assist the elderly in residential care facilities to take their pre-packaged medicines. Therefore, there is a potential risk of incidents specific to staffs. The aim of this study was to clarify the causes of incidents related to medication assistance by staff in residential care facilities.

Method

Semi-structured interviews with staff involved in medication incidents in long-term care facilities, focusing on how and why each incident happened, were conducted. The interview covered basic information about the subject and resident, the circumstances under which the incident had occurred, contributing factors, and countermeasures put in place. Verbatim transcripts of the interviews were prepared. Based on thematic analysis, codes and themes were created.

Results

Twelve subjects participated in this study. All subjects were staffs (not doctors or nurses) in long-term care facilities. All incidents covered in this study were incidents in which the wrong resident was given the medication. The incidents arose because of “not following procedures”, such as lack of “self-check of residents’ faces/residents’ names/residents’ medicine envelopes” or “double-check with other staff” or “using a device for medication intake”. Contributory factors were grouped into four categories: individual resident factor items such as “decreased ability to understand their medication” or “refusal to take medicines”, individual staff factor items such as “lack of knowledge related to medication” or “mental burden” or “experience in medication assistance”, team factor items such as “failure to communicate with other staff”, work environment factor items such as “presence of other residents” or “other work besides medication assistance” or “not enough time” or “little understanding of fostering a safety culture at the facility”.

Conclusion

This study identified four categories of contributory factors that may lead to incidents during medication assistance by caregivers for residents of care homes. These findings should be helpful for risk management in residential care facilities where staff usually provide medication assistance. Separation of meal times and medication assistance, and professional review to stagger the timing of administration of residents’ medication may be effective in reducing incidents.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03016-4.

Understanding Engagement and the Potential Impact of an Electronic Drug Repository: Multi-Methods Study

BACKGROUND

Centralized drug repositories can reduce adverse events and inappropriate prescriptions by enabling access to dispensed medication data at the point of care; however, how they achieve this goal is largely unknown.

OBJECTIVE

This study aims to understand the perceived clinical value; the barriers to and enablers of adoption; and the clinician groups for which a provincial, centralized drug repository may provide the most benefit.

METHODS

A mixed methods approach, including a web-based survey and semistructured interviews, was used. Participants were clinicians (eg, nurses, physicians, and pharmacists) in Ontario who were eligible to use the digital health drug repository (DHDR), irrespective of actual use. Survey data were ranked on a 7-point adjectival scale and analyzed using descriptive statistics, and interviews were analyzed using qualitative descriptions.

RESULTS

Of the 161 survey respondents, only 40 (24.8%) actively used the DHDR. Perceptions of the utility of the DHDR were neutral (mean scores ranged from 4.11 to 4.76). Of the 75.2% (121/161) who did not use the DHDR, 97.5% (118/121) rated access to medication information (eg, dose, strength, and frequency) as important. Reasons for not using the DHDR included the cumbersome access process and the perception that available data were incomplete or inaccurate. Of the 33 interviews completed, 26 (79%) were active DHDR users. The DHDR was a satisfactory source of secondary information; however, the absence of medication instructions and prescribed medications (which were not dispensed) limited its ability to provide a comprehensive profile to meaningfully support clinical decision-making.

CONCLUSIONS

Digital drug repositories must be adjusted to align with the clinician's needs to provide value. Ensuring integration with point-of-care systems, comprehensive clinical data, and streamlined onboarding processes would optimize clinically meaningful use. The electronic provision of accessible drug information to providers across health care settings has the potential to improve efficiency and reduce medication errors.

Prescribing errors in post - COVID-19 patients: prevalence, severity, and risk factors in patients visiting a post - COVID-19 outpatient clinic

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has challenged healthcare globally. An acute increase in the number of hospitalized patients has necessitated a rigorous reorganization of hospital care, thereby creating circumstances that previously have been identified as facilitating prescribing errors (PEs), e.g. a demanding work environment, a high turnover of doctors, and prescribing beyond expertise. Hospitalized COVID-19 patients may be at risk of PEs, potentially resulting in patient harm. We determined the prevalence, severity, and risk factors for PEs in post–COVID-19 patients, hospitalized during the first wave of COVID-19 in the Netherlands, 3 months after discharge.

Methods

This prospective observational cohort study recruited patients who visited a post-COVID-19 outpatient clinic of an academic hospital in the Netherlands, 3 months after COVID-19 hospitalization, between June 1 and October 1 2020. All patients with appointments were eligible for inclusion. The prevalence and severity of PEs were assessed in a multidisciplinary consensus meeting. Odds ratios (ORs) were calculated by univariate and multivariate analysis to identify independent risk factors for PEs.

Results

Ninety-eight patients were included, of whom 92% had ≥1 PE and 8% experienced medication-related harm requiring an immediate change in medication therapy to prevent detoriation. Overall, 68% of all identified PEs were made during or after the COVID-19 related hospitalization. Multivariate analyses identified ICU admission (OR 6.08, 95% CI 2.16–17.09) and a medical history of COPD / asthma (OR 5.36, 95% CI 1.34–21.5) as independent risk factors for PEs.

Conclusions

PEs occurred frequently during the SARS-CoV-2 pandemic. Patients admitted to an ICU during COVID-19 hospitalization or who had a medical history of COPD / asthma were at risk of PEs. These risk factors can be used to identify high-risk patients and to implement targeted interventions. Awareness of prescribing safely is crucial to prevent harm in this new patient population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-022-00588-7.

Adverse Events and Risk Management in Residential Aged Care Facilities: A Cross-Sectional Study in Hunan, China

Purpose

Adverse events threaten residents’ safety. Risk management is important to provide proper care and maintain quality in residential aged care facilities (RACFs). However, there is little data on adverse events, risk management, and risk early warning in RACFs in the Chinese mainland. This study aimed to fill this gap by investigating the prevalence of the aforementioned aspects and related factors in China.

Participants and Methods

Using a cross-sectional design, a field survey of 272 RACFs in Hunan Province was conducted from January 25 to June 1, 2020. Data were collected using four main tools on prevalence of nursing adverse events, risk management, risk early warning, and general information. Descriptive statistics were described by frequency (percentage) and median (interquartile range). Mann–Whitney U-test and Kruskal–Wallis H-test, and Spearman coefficient were used for statistical analysis.

Results

RACFs experienced an average of five (15) adverse events in 2019, with falls and pressure ulcers being the most common. The total average score of risk management in RACFs was 4.72 (0.98) out of 5, with the environment and personnel management dimensions scoring the highest with 4.75 (1) and the service management dimension scoring the lowest with 4.60 (1). Only 72.79% had trained their staff on ethical and legal knowledge and 84.56% had utilized pre-hospital first aid. Further, 30% to 40% were unprepared for contingency plans of suicide, electric shock, gas poisoning, and drowning. There were significant risk management differences among the following variables: facilities’ locations, accreditation with the Practice Certificate of Social Welfare Facilities, bed-size, nursing hours per resident day, requirement for nursing staff with certificates, and payment for nursing staff (p < 0.05).

Conclusion

RACFs are facing safety challenges with a high prevalence of nursing adverse events. These facilities need to improve risk early warning and management to ensure residents’ safety.

Current Situation of Medication Errors in Saudi Arabia: A Nationwide Observational Study

OBJECTIVES

Medication errors are common and highly preventable events that significantly affect patients' health. This nationwide study primarily aims to quantify the rate and level of harm from the reported medication errors and to determine the medication process stages in which the reported errors occurred.

METHODS

This retrospective observational study concerns medication errors reported to the General Department of Pharmaceutical Care database from March 2018 to June 2019. The database stores all aspects of medication error information, including patient, medication, and error information, along with the job position of the staff involved and contributing factors. The medication use process was categorized into these stages: ordering/prescribing, transcribing, dispensing, administering, and monitoring. We recorded each medication error based on categories from the U.S. National Coordinating Council for Medication Error Reporting and Prevention.

RESULTS

A total of 71,332 medication error events were reported to the database. Physicians made 63,120 (88.5%) reported errors, and pharmacists most frequently detected the errors (75.9%). The majority of reported errors appeared at the prescribing phase (84.8%), followed by the transcribing (5.8%) and dispensing (5.7%) phases. A total of 4182 (5.8%) errors reached the patient. Health care professionals' work overload and lack of experience were associated with 31.6% and 22.7% of the reported errors, respectively.

CONCLUSIONS

Our study highlights the concern regarding medication errors and their low reporting by indicating that pharmacists reported and detected the majority of errors. Promoting a no-blame culture and education for health professionals is vital for improving the error-reporting rate.

Delegation of medication administration from registered nurses to non-registered support workers in community care settings: A systematic review with critical interpretive synthesis

INTRODUCTION

Healthcare workforces are currently facing multiple challenges, including aging populations; increasing prevalence of long-term conditions; and shortfall of registered nurses. Employing non-registered support workers is common across many countries to expand service capacity of nursing teams. One task delegated to non-registered support workers is medication administration, which is considered a complex task, with associated risks. This is an important topic given the predicted global increase in patients requiring assistance with medication in community settings. This review explores the evidence on delegation of medication administration from registered nurse to non-registered support workers within community settings, to better understand factors that influence the process of delegation and its impact on service delivery and patient care.

METHODS

The review followed key principles of Critical Interpretative Synthesis and was structured around Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. Literature searches were conducted in MEDLINE, CINAHL, Embase, and ProQuest-British Nursing Index databases. Twenty studies were included.

RESULTS

Findings are reported under four themes: 1, Regulatory and contextual factors; 2, Individual and team level factors; 3, Outcomes of delegation; and 4, Process of implementation and evaluation. Delegation was found to be a complex phenomenon, influenced by a myriad of interconnecting factors at the macro, meso, micro level. At the macro level, the consistency and clarity of government and state level regulations was found to facilitate or impede delegation of medication administration. Lack of clarity at the macro level, impacted at meso and micro levels, resulting in confusion around what medication administration could be delegated and who held responsibility. At the micro level, central to the interpretation of success was the relationship between the delegator and delegatee. This relationship was influenced by personal views, educational and systems factors. Many benefits were reported as an outcome of delegation, including service efficiency and improved patient care. The implementation of delegating medication administration was influenced by regulatory factors, communication, stakeholder engagement, and service champions.

CONCLUSION

Delegation of medication administration is a complex process influenced by many interrelating factors. Due to the increased risk associated with medication administration, clear and consistent regulatory and governance frameworks and procedures are crucial. Delegation of medication administration is more acceptable within a framework that adequately supports the process, backed by appropriate policy, skills, training, and supervisory arrangements. There is a need for further research around implementation, clinical outcomes and medication errors associated with delegation of medication administration.

The Contraindications to Combined Oral Contraceptives among Reproductive-Aged Women in an Obstetrics and Gynaecology Clinic: A Single-Centre Cross-Sectional Study

This study aimed to determine the estimated proportion of contraindications among women taking combined oral contraceptives (COCs) and to assess the risk factors associated with their contraindications. This study was cross-sectional. Reproductive-aged women (18–49 years) on any COCs between 2018 and 2020 were recruited from one obstetrics–gynaecology clinic in a university-affiliated hospital and were included. Contraindications were defined using the World Health Organization (WHO) Medical Eligibility Criteria (MEC) for Contraceptive Use. Data were collected from electronic medical records for all included women, as well as a standardised, pretested, structured survey for one-third of the women. In this cross-sectional study, 380 women using COCs were included. Their mean age was 31.645 ± 7.366 years. Among them, 131 (34.5%) participated via a survey and electronic records, while the other 249 (65.5%) participated via electronic records only. The majority of the participants had a Bachelor’s degree (59.0%) and were married (62.1%). The overall estimated proportion of patients with at least one contraindication to COCs according to category 3 (relative contraindications) or 4 (absolute contraindications) was 31.3% (95% CI 26.63–35.99). The most common contraindications observed were controlled hypertension, category 3 (12.1%); major surgery with prolonged immobilisation, category 4 (4.7%); migraine with aura at any age, category 4 (4.2%); breastfeeding from six weeks to less than six months postpartum, category 3 (4.0%); and diabetes mellitus with complications, category 4 (3.2%). Significant factors associated with contraindications to COCs were married women (OR 2.19, 95% CI 1.38–3.46), those aged 35 years or more (OR 2.33, 95% CI 1.49–3.66), and those with one or more live births (OR 2.19, 95% CI 1.38–3.46). Ensuring proper assessment prior to prescribing and considering alternatives suitable for long-term use among women taking an oral contraceptive regularly is recommended.

Risk of medicine-related harms in primary care

Overview of: Leitch S, Dovey SM, Cunningham WK, et al Medication-related harm in New Zealand general practice: a retrospective records review. Br J Gen Pract 2021;71:e626-e633.

Performance of a trigger tool for detecting drug-related hospital admissions in older people: analysis from the OPERAM trial

BACKGROUND

identifying drug-related hospital admissions (DRAs) in older people is difficult. A standardised chart review procedure has recently been developed. It includes an adjudication team (physician and pharmacist) screening using 26 triggers and then performing causality assessment to determine whether an adverse drug event (ADE) occurred (secondary to an adverse drug reaction, overuse, misuse or underuse) and whether the ADE contributed to hospital admission (DRA).

OBJECTIVE

to assess the performance of those triggers in detecting DRA.

DESIGN

retrospective study using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people) trial.

SETTINGS

four European medical centres.

SUBJECTS

multimorbid (≥ 3 chronic medical conditions) older (≥ 70 years) inpatients with polypharmacy (≥ 5 chronic medications) were enrolled in the OPERAM trial (N = 2,008) and followed for 12 months. We included patients with ≥1 adjudicated hospitalisation during the follow-up.

METHODS

the positive predictive value (PPV; number of DRAs identified by trigger/number of triggers) was calculated for each trigger and for the tool as a whole.

RESULTS

of 1,235 hospitalisations adjudicated for 832 patients, 716 (58%) had at least one trigger; an ADE was identified in 673 (54%) and 518 (42%) were adjudicated as DRAs. The overall PPV of the trigger tool for detecting DRAs was 0.66 [0.62-0.69].

CONCLUSIONS

this tool performs well for identifying DRAs in older people. Based on our results, a revised version of the tool was proposed but will require external validation before it can be incorporated into research and clinical practice.

Relationship Between Pharmaceutical Knowledge and Probability of Medication Errors Among Nurses: A Cross-sectional Study in the Northwest of Iran in 2020

Background: Patient safety is a major concern for health care professionals. Medication errors have been considered a major indicator of health care quality. The lack of pharmacological knowledge is a cause of medication error among nurses. Objectives: The purpose of this study was to investigate the relationship between pharmacological knowledge and the probability of medical errors in nurses working in Urmia hospitals in 2020. Methods: This cross-sectional study included 490 nurses randomly selected from among those working in hospitals of Urmia in 2020. The data collection tool was a multiple-choice questionnaire about knowledge and pharmacological skills consisting of 3 sections: demographic information, nurses’ drug knowledge, and the confidence level of response in nurses. To analyze questions and hypotheses via SPSS version 21, the t-test and analysis of variance (ANOVA) were employed. Results: The highest pharmaceutical knowledge scores of nurses were related to methods of administration (2.9 ± 1.01 [72.56%]), and the lowest score was related to drug management (1.05 ± 0.63 [52.84%]). The mean of error probability was very low in 28.81% of nurses, low in 37.66%, high in 11.34%, and very high in 22.85%. Pharmaceutical knowledge had a significant relationship with gender, wards, type of hospital, and number of children (P < 0.05 for all). Conclusions: Since the nurses’ level of pharmaceutical knowledge has an important role in the correct prescription of medicine, we suggest that nurse managers and educational supervisors in the field of nursing use in-service training programs and prepare training booklets and posters to promote nurses’ pharmaceutical knowledge in this field.

In-Hospital Patient Harm Across Linguistic Groups: A Retrospective Cohort Study of Home Care Recipients

OBJECTIVE

Research examining the impact of language barriers on patient safety is limited. We conducted a population-based study to determine whether patients whose primary language is not English are more likely to experience harm when admitted to hospitals in Ontario, Canada.

METHODS

We used linked administrative health records to establish a retrospective cohort of home care recipients (from 2010 to 2015) who were subsequently admitted to hospital. Patient language (obtained from home care assessments) was coded as English, French, or other. Harmful events were identified using the Hospital Harm Indicator developed by the Canadian Institute for Health Information.

RESULTS

We included 190,724 patients (156,186 Anglophones, 5,110 Francophones, and 29,428 Allophones). There was no significant difference in the unadjusted risk of harm for Francophones compared with Anglophones (relative risk [RR], 0.94; 95% confidence interval [CI], 0.87-1.02). However, Allophones were more likely to experience harm when compared with Anglophones (RR, 1.14; 95% CI, 1.10-1.18). The risk of harm was even greater for Allophones with low English proficiency (RR, 1.18; 95% CI, 1.13-1.24). After adjusting for potential confounders, Anglophones and Allophones were equally likely to experience harm of any type, but Allophones more likely to experience harm from infections and procedures.

CONCLUSIONS

Patients whose primary language was not English or French were more likely to experience harm after admission to hospital, especially if they had low English proficiency. For these patients, the risk of harm from infections and procedures persisted in the adjusted analysis, but the overall risk of harm did not.

Retrospective study of the prevalence and characteristics of adverse drug events in adults who present to an Australian emergency department

OBJECTIVE

To determine the burden, on the ED, of harm from unintentional adverse drug events (ADEs) in the community.

METHODS

A retrospective, observational study of 936 randomly selected presentations to a level 6 ED at a principal referral hospital in Brisbane, Australia, in November 2017. Clinical records were screened by a pharmacist, who identified suspected ADEs. All suspected ADEs and a random selection of presentations without ADEs were reviewed by an expert panel, which classified, by consensus: occurrence and type of ADE, contribution of ADE to presentation, severity of harm and preventability of presentation. Medication-related ED presentations (ADE-Ps) and potential ADEs were, respectively, defined as presentations directly attributable to an ADE, and medication events that occurred but did not cause the ED presentation. Descriptive data analysis was performed.

RESULTS

The median (interquartile range) age of patients was 40 (27-58) years, with 49.7% (95% confidence interval [CI] 46.5-52.9) being male. The prevalences of ADE-Ps and potential ADEs were 9.2% (95% CI 7.5-11.3) and 5.0% (95% CI 3.8-6.6), respectively. The severity of harm was classified as 'death or likely permanent harm' in 4.7% (95% CI 0.2-9.1) of ADE-Ps, 'temporary harm' (89.5%, 95% CI 83.1-96.0) and 'minimal or no harm' (5.8%, 95% CI 0.9-10.8). Most (79.1%, 95% CI 70.5-87.7) ADE-Ps were preventable.

CONCLUSIONS

There is a high burden on emergency care because of unintended medication harm in the community. Interventions to reduce such harm are likely to require a co-ordinated primary, acute and public healthcare response. The high proportion of presentations with potential ADEs indicates opportunity for harm mitigation in the ED.