The Prevalence of Dose Errors Among Paediatric Patients in Hospital Wards with and without Health Information Technology: A Systematic Review and Meta-Analysis

The impact of burnout on paediatric nurses' attitudes about patient safety in the acute hospital setting: A systematic review

BACKGROUND

Patient safety is the cornerstone of quality healthcare. Nurses have a duty to provide safe care, particularly to vulnerable populations such as paediatric patients. Demands on staff and resources are rising and burnout is becoming an increasingly prevalent occupational hazard in paediatric healthcare today. Occupational stress is a barrier to maintaining a positive patient safety culture.

PURPOSE

This paper seeks to explore the impact of burnout on paediatric nurses' attitudes about patient safety.

METHODS

A systematic review approach was used. Embase, Cochrane Library, Medline, CINAHL, and PsycINFO were the databases searched. All quantitative, primary, empirical studies, published in English, which investigated associations between burnout and attitudes to patient safety in the paediatric nursing workforce were included.

RESULTS

Four studies were eligible for inclusion. These studies examined a total of 2769 paediatric nurses. Pooled data revealed overall moderate to high levels of burnout. All studies exposed a negative association between emotional exhaustion and safety attitude scoring (r = -0.301- -0.481). Three studies demonstrated a negative association to job satisfaction (r = -0.424- -0.474). The potential link between burnout and an increased frequency of adverse events was also highlighted.

CONCLUSIONS

Burnout may negatively impact paediatric nurses' attitudes to patient safety in the acute hospital setting. Targeted interventions to tackle burnout are urgently required to protect both paediatric nurses and patients.

IMPLICATIONS

Managers and policy makers must promote nurse well-being to safeguard staff and patients. Educational interventions are required to target burnout and promote patient safety. Further research is required to investigate the long-term impact of burnout.

Child Age and Risk of Medication Error: A Multisite Children's Hospital Study

OBJECTIVE

The objective of this study was to examine associations between patient age and medication errors among pediatric inpatients.

STUDY DESIGN

Secondary analysis of data sets generated from 2 tertiary pediatric hospitals: (1) prescribing errors identified from chart reviews for patients on 9 general wards at hospital A during April 22 to July 10, 2016, June 20 to September 20, 2017, and June 20 to September 30, 2020; prescribing errors from 5 wards at hospital B in the same periods and (2) medication administration errors assessed by direct prospective observation of 5137 administrations on 9 wards at hospital A. Multilevel models examined the association between patient age and medication errors. Age was modeled using restricted cubic splines to allow for nonlinearity.

RESULTS

Prescribing errors increased nonlinearly with patient age (P = .01), showing little association from ages 0 to 3 years and then increasing with age until around 10 years and remaining constant through the teenage years. Administration errors increased with patient age, with no association from 0 to around 8 years and then a steady rise with increasing age (P = .03). The association differed by route: linear for oral, no association for intravenous infusions, and U-shaped for intravenous injections.

CONCLUSIONS

Older age is an unrecognized risk factor for medication error on general wards in pediatric hospitals. Contributors to risk may be the clinical profiles of these older children or the general level of attention paid to medication practices for this group. Further investigation may allow the design of more targeted interventions to reduce errors.

Risk Factors Associated with Medication Administration Errors in Children: A Prospective Direct Observational Study of Paediatric Inpatients

INTRODUCTION

Limited evidence exists regarding medication administration errors (MAEs) on general paediatric wards or associated risk factors exists.

OBJECTIVE

The aim of this study was to identify nurse, medication, and work-environment factors associated with MAEs among paediatric inpatients.

METHODS

This was a prospective, direct observational study of 298 nurses in a paediatric referral hospital in Sydney, Australia. Trained observers recorded details of 5137 doses prepared and administered to 1530 children between 07:00 h and 22:00 h on weekdays and weekends. Observation data were compared with medication charts to identify errors. Clinical errors, potential severity and actual harm were assessed. Nurse characteristics (e.g. age, sex, experience), medication type (route, high-risk medications, use of solvent/diluent), and work variables (e.g. time of administration, weekday/weekend, use of an electronic medication management system [eMM], presence of a parent/carer) were collected. Multivariable models assessed MAE risk factors for any error, errors by route, potentially serious errors, and errors involving high-risk medication or causing actual harm.

RESULTS

Errors occurred in 37.0% (n = 1899; 95% confidence interval [CI] 35.7-38.3) of administrations, 25.8% (n = 489; 95% CI 23.8-27.9) of which were rated as potentially serious. Intravenous infusions and injections had high error rates (64.7% [n = 514], 95% CI 61.3-68.0; and 77.4% [n = 188], 95% CI 71.7-82.2, respectively). For intravenous injections, 59.7% (95% CI 53.4-65.6) had potentially serious errors. No nurse characteristics were associated with MAEs. Intravenous route, early morning and weekend administrations, patient age ≥ 11 years, oral medications requiring solvents/diluents and eMM use were all significant risk factors. MAEs causing actual harm were 45% lower using an eMM compared with paper charts.

CONCLUSION

Medication error prevention strategies should target intravenous administrations and not neglect older children in hospital. Attention to nurses' work environments, including improved design and integration of medication technologies, is warranted.

Use of Computerized Physician Order Entry with Clinical Decision Support to Prevent Dose Errors in Pediatric Medication Orders: A Systematic Review

BACKGROUND

Prescribing is a high-risk task within the pediatric medication-use process and requires defenses to prevent errors. Such system-centric defenses include electronic health record systems with computerized physician order entry (CPOE) and clinical decision support (CDS) tools that assist safe prescribing. The objective of this study was to examine the effects of CPOE systems with CDS functions in preventing dose errors in pediatric medication orders.

MATERIAL AND METHODS

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 criteria and Synthesis Without Meta-Analysis (SWiM) items. The study protocol was registered in PROSPERO (CRD42021277413). The final literature search on MEDLINE (Ovid), Scopus, Web of Science, and EMB Reviews was conducted on 10 September 2023. Only peer-reviewed studies considering both CPOE and CDS systems in pediatric inpatient or outpatient settings were included. Study selection, data extraction, and evidence quality assessment (JBI critical appraisal tool assessment and GRADE approach) were carried out by two individual reviewers. Vote counting method was used to evaluate the effects of CPOE-CDS systems on dose errors rates.

RESULTS

A total of 17 studies published in 2007-2021 met the inclusion criteria. The most used CDS tools were dose range check (n = 14), dose calculator (n = 8), and dosing frequency check (n = 8). Alerts were recorded in 15 studies. A statistically significant reduction in dose errors was found in eight studies, whereas an increase of dose errors was not reported.

CONCLUSIONS

The CPOE-CDS systems have the potential to reduce pediatric dose errors. Most beneficial interventions seem to be system customization, implementing CDS alerts, and the use of dose range check. While human factors are still present within the medication use process, further studies and development activities are needed to optimize the usability of CPOE-CDS systems.

Root cause analysis of medication errors of the most frequently involved active substances in paediatric patients

BACKGROUND

Use of medicinal products in paediatric patients is identified as a risk factor for the occurrence of medication errors.

OBJECTIVES

To describe and identify root causes of medication errors in children and adolescents spontaneously reported to Agency for Medicinal Products and Medical Devices of Croatia (Agency).

METHOD

Agency's adverse drug reaction database was searched by using the Standardised MedDRA Query: medication errors (Broad) with data lock point set at 30th June 2022. Cases in which medication errors occurred in patients up to 18 years of age were analysed according to the patients' age group and gender, reporter's qualification, seriousness, reported preferred terms and active substances. For the first 30 most frequently reported active substances, an in-depth analysis was performed to identify the root cause of medication errors.

RESULTS

Altogether, 6254 reports were spontaneously reported to the Agency, out of which 1947 (31 %) contained at least one preferred term belonging to Standardised MedDRA Query medication errors. More than half of patients experiencing medication errors belonged to the age group 2-11 years (66 %) and male gender (53 %). The most frequently reported ME PTs included accidental exposure to product by a child (64 %) and accidental overdose (17 %). Medication error root causes for the first 30 most frequently involved active substances included misinterpretation of prescribed dosage due to a very small volume resulting in salbutamol overdose; replacing millilitre and milligram units resulting in paracetamol solution overdose; interchange between medicinal products due to primary package similarities resulting in cholecalciferol overdose and interchange between oral solution and syrup resulting in valproate overdose.

CONCLUSIONS

Healthcare professionals should counsel caregivers about the importance of keeping medicinal products out of children's reach and provide detailed instructions on how to appropriately use medicinal products.

Identifying the data elements and functionalities of clinical decision support systems to administer medication for neonates and pediatrics: a systematic literature review

BACKGROUND

Patient safety is a central healthcare policy worldwide. Adverse drug events (ADE) are among the main threats to patient safety. Children are at a higher risk of ADE in each stage of medication management process. ADE rate is high in the administration stage, as the final stage of preventing medication errors in pediatrics and neonates. The most effective way to reduce ADE rate is using medication administration clinical decision support systems (MACDSSs). The present study reviewed the literature on MACDSS for neonates and pediatrics. It identified and classified the data elements that mapped onto the Fast Healthcare Interoperability Resources (FHIR) standard and the functionalities of these systems to guide future research.

METHODS

PubMed/ MEDLINE, Embase, CINAHL, and ProQuest databases were searched from 1995 to June 31, 2021. Studies that addressed developing or applying medication administration software for neonates and pediatrics were included. Two authors reviewed the titles, abstracts, and full texts. The quality of eligible studies was assessed based on the level of evidence. The extracted data elements were mapped onto the FHIR standard.

RESULTS

In the initial search, 4,856 papers were identified. After removing duplicates, 3,761 titles, and abstracts were screened. Finally, 56 full-text papers remained for evaluation. The full-text review of papers led to the retention of 10 papers which met the eligibility criteria. In addition, two papers from the reference lists were included. A total number of 12 papers were included for analysis. Six papers were categorized as high-level evidence. Only three papers evaluated their systems in a real environment. A variety of data elements and functionalities could be observed. Overall, 84 unique data elements were extracted from the included papers. The analysis of reported functionalities showed that 18 functionalities were implemented in these systems.

CONCLUSION

Identifying the data elements and functionalities as a roadmap by developers can significantly improve MACDSS performance. Though many CDSSs have been developed for different medication processes in neonates and pediatrics, few have actually evaluated MACDSSs in reality. Therefore, further research is needed on the application and evaluation of MACDSSs in the real environment.

PROTOCOL REGISTRATION

(dx.doi.org/10.17504/protocols.io.bwbwpape).

Effectiveness of non-interruptive nudge interventions in electronic health records to improve the delivery of care in hospitals: a systematic review

OBJECTIVES

To describe the application of nudges within electronic health records (EHRs) and their effects on inpatient care delivery, and identify design features that support effective decision-making without the use of interruptive alerts.

MATERIALS AND METHODS

We searched Medline, Embase, and PsychInfo (in January 2022) for randomized controlled trials, interrupted time-series and before-after studies reporting effects of nudge interventions embedded in hospital EHRs to improve care. Nudge interventions were identified at full-text review, using a pre-existing classification. Interventions using interruptive alerts were excluded. Risk of bias was assessed using the ROBINS-I tool (Risk of Bias in Non-randomized Studies of Interventions) for non-randomized studies or the Cochrane Effective Practice and Organization of Care Group methodology for randomized trials. Study results were summarized narratively.

RESULTS

We included 18 studies evaluating 24 EHR nudges. An improvement in care delivery was reported for 79.2% (n = 19; 95% CI, 59.5-90.8) of nudges. Nudges applied were from 5 of 9 possible nudge categories: change choice defaults (n = 9), make information visible (n = 6), change range or composition of options (n = 5), provide reminders (n = 2), and change option-related effort (n = 2). Only one study had a low risk of bias. Nudges targeted ordering of medications, laboratory tests, imaging, and appropriateness of care. Few studies evaluated long-term effects.

DISCUSSION

Nudges in EHRs can improve care delivery. Future work could explore a wider range of nudges and evaluate long-term effects.

CONCLUSION

Nudges can be implemented in EHRs to improve care delivery within current system capabilities; however, as with all digital interventions, careful consideration of the sociotechnical system is crucial to enhance their effectiveness.

Prescribing errors in children: what is the impact of a computerized physician order entry?

Prescribing errors represent a safety risk for hospitalized patients, especially in pediatrics. Computerized physician order entry (CPOE) might reduce prescribing errors, although its effect has not yet been thoroughly studied on pediatric general wards. This study investigated the impact of a CPOE on prescribing errors in children on general wards at the University Children's Hospital Zurich. We performed medication reviews on a total of 1000 patients before and after the implementation of a CPOE. The CPOE included limited clinical decision support (CDS) such as drug-drug interaction check and checks for duplicates. Prescribing errors, their type according to the PCNE classification, their severity (adapted NCC MERP index), as well as the interrater reliability (Cohen's kappa), were analyzed. Potentially harmful errors were significantly reduced from 18 errors/100 prescriptions (95% CI: 17-20) to 11 errors/100 prescriptions (95% CI: 9-12) after CPOE implementation. A large number of errors with low potential for harm (e.g., "missing information") was reduced after the introduction of the CPOE, and consequently, the overall severity of potential harm increased post-CPOE. Despite general error rate reduction, medication reconciliation problems (PCNE error 8), such as drugs prescribed on paper as well as electronically, significantly increased after the introduction of the CPOE. The most common pediatric prescribing errors, the dosing errors (PCNE errors 3), were not altered on a statistically significant level after the introduction of the CPOE. Interrater reliability showed moderate agreement (Κ = 0.48).  Conclusion: Patient safety increased by reducing the rate of prescribing errors after CPOE implementation. The reason for the observed increase in medication reconciliation problems might be the hybrid system with remaining paper prescriptions for special medication. The lacking effect on dosing errors could be explained by the fact that a web application CDS covering dosing recommendations (PEDeDose) was already in use before the implementation of the CPOE. Further investigations should focus on eliminating hybrid systems, interventions to increase the usability of the CPOE, and full integration of CDS tools such as automated dose checks into the CPOE. What is Known: • Prescribing errors, especially dosing errors, are a common safety threat for pediatric inpatients. •The introduction of a CPOE may reduce prescribing errors, though pediatric general wards are poorly studied. What is New: •To our knowledge, this is the first study on prescribing errors in pediatric general wards in Switzerland investigating the impact of a CPOE. •We found that the overall error rate was significantly reduced after the implementation of the CPOE. The severity of potential harm was higher in the post-CPOE period, which implies that low-severity errors were substantially reduced after CPOE implementation. Dosing errors were not reduced, but missing information errors and drug selection errors were reduced. On the other hand, medication reconciliation problems increased.

Impact of a clinical decision support system on paediatric drug dose prescribing: a randomised within-subject simulation trial

BACKGROUND

Drug dosing errors are among the most frequent causes of preventable harm in paediatrics. Due to the complexity of paediatric pharmacotherapy and the working conditions in healthcare, it is not surprising that human factor is a well-described source of error. Thus, a clinical decision support system (CDSS) that supports healthcare professionals (HCP) during the dose prescribing step provides a promising strategy for error prevention.

METHODS

The aim of the trial was to simulate the dose derivation step during the prescribing process. HCPs were asked to derive dosages for 18 hypothetical patient cases. We compared the CDSS PEDeDose, which provides a built-in dose calculator to the Summary of Product Characteristics (SmPC) used together with a pocket calculator in a randomised within-subject trial. We assessed the number of dose calculation errors and the time needed for calculation. Additionally, the effect of PEDeDose without using the built-in calculator but with a pocket calculator instead was assessed.

RESULTS

A total of 52 HCPs participated in the trial. The OR for an erroneous dosage using the CDSS as compared with the SmPC with pocket calculator was 0.08 (95% CI 0.02 to 0.36, p<0.001). Thus, the odds of an error were 12 times higher while using the SmPC. Furthermore, there was a 45% (95% CI 39% to 51%, p<0.001) time reduction when the dosage was derived using the CDSS. The exploratory analysis revealed that using only PEDeDose but without the built-in calculator did not substantially reduce errors.

CONCLUSION

Our results provide robust evidence that the use of the CDSS is safer and more efficient than manual dose derivation in paediatrics. Interestingly, only consulting a dosing database was not sufficient to substantially reduce errors. We are confident the CDSS PEDeDose ensures a higher safety and speeds up the prescribing process in practice.

Short- and long-term effects of an electronic medication management system on paediatric prescribing errors

Electronic medication management (eMM) systems are designed to improve safety, but there is little evidence of their effectiveness in paediatrics. This study assesses the short-term (first 70 days of eMM use) and long-term (one-year) effectiveness of an eMM system to reduce prescribing errors, and their potential and actual harm. We use a stepped-wedge cluster randomised controlled trial (SWCRCT) at a paediatric referral hospital, with eight clusters randomised for eMM implementation. We assess long-term effects from an additional random sample of medication orders one-year post-eMM. In the SWCRCT, errors that are potential adverse drug events (ADEs) are assessed for actual harm. The study comprises 35,260 medication orders for 4821 patients. Results show no significant change in overall prescribing error rates in the first 70 days of eMM use (incident rate ratio [IRR] 1.05 [95%CI 0.92-1.21], but a 62% increase (IRR 1.62 [95%CI 1.28-2.04]) in potential ADEs suggesting immediate risks to safety. One-year post-eMM, errors decline by 36% (IRR 0.64 [95%CI 0.56-0.72]) and high-risk medication errors decrease by 33% (IRR 0.67 [95%CI 0.51-0.88]) compared to pre-eMM. In all periods, dose error rates are more than double that of other error types. Few errors are associated with actual harm, but 71% [95%CI 50-86%] of patients with harm experienced a dose error. In the short-term, eMM implementation shows no improvement in error rates, and an increase in some errors. A year after eMM error rates significantly decline suggesting long-term benefits. eMM optimisation should focus on reducing dose errors due to their high frequency and capacity to cause harm.

Online searches of children’s oseltamivir in public primary and specialized care: Detecting influenza outbreaks in Finland using dedicated databases for health care professionals

Introduction

Health care professionals working in primary and specialized care typically search for medical information from Internet sources. In Finland, Physician’s Databases are online portals aimed at professionals seeking medical information. As dosage errors may occur when prescribing medication to children, professionals’ need for reliable medical information has increased in public health care centers and hospitals. Influenza continues to be a public health threat, with young children at risk of developing severe illness and easily transmitting the virus. Oseltamivir is used to treat children with influenza. The objective of this study was to compare searches for children’s oseltamivir and influenza diagnoses in primary and specialized care, and to determine if the searches could aid detection of influenza outbreaks.

Methods

We compared searches in Physician’s Databases for children’s oral suspension of oseltamivir (6 mg/mL) for influenza diagnoses of children under 7 years and laboratory findings of influenza A and B from the National Infectious Disease Register. Searches and diagnoses were assessed in primary and specialized care across Finland by season from 2012–2016. The Moving Epidemic Method (MEM) calculated seasonal starts and ends, and paired differences in the mean compared two indicators. Correlation was tested to compare seasons.

Results

We found that searches and diagnoses in primary and specialized care showed visually similar patterns annually. The MEM-calculated starting weeks in searches appeared mainly in the same week. Oseltamivir searches in primary care preceded diagnoses by −1.0 weeks (95% CI: −3.0, −0.3; p = 0.132) with very high correlation (τ = 0.913). Specialized care oseltamivir searches and diagnoses correlated moderately (τ = 0.667).

Conclusion

Health care professionals’ searches for children’s oseltamivir in online databases linked with the registers of children’s influenza diagnoses in primary and specialized care. Therefore, database searches should be considered as supplementary information in disease surveillance when detecting influenza epidemics.

Pediatric Dose Calculation Issues and the Need for Human Factors–Informed Preventative Technology Optimizations

Background: Dose calculation errors are one of the most common types of medication errors impacting children and they can result in significant harm. Technology-based solutions, such as computerized provider order entry, can effectively reduce dose calculation issues; however, these technologies are not always optimized, resulting in potential benefits not being fully realized. Methods: We analyzed pediatric dose-related patient safety event reports submitted to the Pennsylvania Patient Safety Reporting System using a task-analytic approach that focused on information being used in the dose calculation, calculation errors during ordering, and errors during dose preparation or administration. From these reports, we identified whether the patient was impacted by the error, the type of medication involved, and whether a technology optimization could have mitigated the issue. Results: Of the 356 reports reviewed, 326 (91.6%) met the criteria for a dose calculation issue. The 326 reports meeting criteria had the following dose calculation issue types: wrong information used in the calculation (49 of 326, 15.0%), incorrect calculation during ordering (97 of 326, 29.8%), and calculated dose was not properly used or incorrect calculation during preparation/administration (180 of 326, 55.2%). Most of these dose calculation issues impacted the patient (219 of 326, 67.2%). Analysis of these issues by patient age group and drug class also revealed interesting patterns. Technology optimizations potentially could have addressed 81.6% of the dose calculation issues identified. Conclusion: While many healthcare facilities have adopted health information technology and other devices to support the medication process, these technologies are not always optimized to address dose calculation issues. Human factors–informed recommendations, a safety checklist, and test cases for optimizing technology are provided in the context of these findings.

Medication Errors in Pediatrics: Proposals to Improve the Quality and Safety of Care Through Clinical Risk Management

Medication errors represent one of the most common causes of adverse events in pediatrics and are widely reported in the literature. Despite the awareness that children are at increased risk for medication errors, little is known about the real incidence of the phenomenon. Most studies have focused on prescription, although medication errors also include transcription, dispensing, dosage, administration, and certification errors. Known risk factors for therapeutic errors include parenteral infusions, oral fluid administration, and tablet splitting, as well as the off-label use of drugs with dosages taken from adult literature. Emergency Departments and Intensive Care Units constitute the care areas mainly affected by the phenomenon in the hospital setting. The present paper aims to identify the risk profiles in pediatric therapy to outline adequate preventive strategies. Precisely, through the analysis of the available evidence, solutions such as standardization of recommended doses for children, electronic prescribing, targeted training of healthcare professionals, and implementation of reporting systems will be indicated for the prevention of medication errors.

Physicians' perspectives on adverse drug reactions in pediatric routine care: a survey

BACKGROUND

Children and adolescents are at particular risk for adverse drug reactions (ADRs). We investigated physicians' perceptions on ADRs in pediatric routine care.

METHODS

In this exploratory study from April to November 2020, we invited physicians treating pediatric patients across Germany to complete an online questionnaire consisting mainly of closed questions.

RESULTS

Completion rate was 98% (127/129). Of all participants, 23% (29/127) stated they were not able to estimate how many of their pediatric patients experienced ADRs during drug therapy. The remaining physicians estimated that 7.5% (median; Q25/Q75 3%/20%) of their pediatric patients were affected by ADRs. Regarding counseling on ADRs, 61% (77/127) stated they do not ask regularly the extent to which parents want to be informed. In total, 26% (33/127) stated they avoid counseling on ADRs concerning commonly used approved therapies, whereas only 4% (5/127) did so concerning off-label use (P < 0.001). Altogether, 16% (20/127) stated they rather prescribe new medicines as they hope for better effectiveness; 72% (91/127) said they are cautious about doing so owing to yet unknown ADRs. Of all respondents, 46% (58/127) stated they do not report ADRs to the authorities. Concerning the black triangle symbol, a European pharmacovigilance measure, 11% (14/127) stated they knew it and 6% (7/127) stated they reported any suspected ADR for drugs with that symbol.

CONCLUSIONS

Physicians' perspectives on ADRs were ambivalent: ADRs influenced their parent counseling and drug prescribing; yet, they struggled to estimate the impact of ADRs on their patients and were not aware of specific pharmacovigilance measures.

Description of a clinical decision support tool with integrated dose calculator for paediatrics

Medication errors, especially dosing errors are a leading cause of preventable harm in paediatric patients. The paediatric patient population is particularly vulnerable to dosing errors due to immaturity of metabolising organs and developmental changes. Moreover, the lack of clinical trial data or suitable drug forms, and the need for weight-based dosing, does not simplify drug dosing in paediatric or neonatal patients. Consequently, paediatric pharmacotherapy often requires unlicensed and off-label use including manipulation of adult dosage forms. In practice, this results in the need to calculate individual dosages which in turn increases the likelihood of dosing errors. In the age of digitalisation, clinical decision support (CDS) tools can support healthcare professionals in their daily work. CDS tools are currently amongst the gold standards in reducing preventable errors. In this publication, we describe the development and core functionalities of the CDS tool PEDeDose, a Class IIa medical device software certified according to the European Medical Device Regulation. The CDS tool provides a drug dosing formulary with an integrated calculator to determine individual dosages for paediatric, neonatal, and preterm patients. Even a technical interface is part of the CDS tool to facilitate integration into primary systems. This enables the support of the paediatrician directly during the prescribing process without changing the user interface.Conclusion: PEDeDose is a state-of-the-art CDS tool for individualised paediatric drug dosing that includes a certified calculator. What is Known: • Dosing errors are the most common type of medication errors in paediatric patients. • Clinical decision support tools can reduce medication errors effectively. Integration into the practitioner's workflow improves usability and user acceptance. What is New: • A clinical decision support tool with a certified integrated dosing calculator for paediatric drug dosing. • The tool was designed to facilitate integration into clinical information systems to directly support the prescribing process. Any clinical information system available can interoperate with the PEDeDose web service.

The impact of paediatric dose range checking software

OBJECTIVE

Dosing errors can cause significant harm in paediatric healthcare settings. Our objective was to investigate the effects of paediatric dose range checking (DRC) clinical decision support (CDS) software on overdosing-related outcomes.

METHODS

A before-after study and a semistructured survey of prescribers was conducted across inpatient wards (excluding intensive care) in a regional children's hospital. DRC CDS software linked to a paediatric drug formulary was integrated into an existing electronic prescribing system. The main outcome measures were; the proportion of prescriptions with overdosing errors; overdosing-related clinical incidents; severity of clinical incidents; and acceptability of the intervention.

RESULTS

The prescription overdosing error rate did not change significantly following the introduction of DRC CDS software: in the preintervention period 12/847 (1.4%) prescriptions resulted in prescription errors and in the postintervention period there were 9/684 (1.3%) prescription overdosing errors (n=21, Pearson χ² value=0.028, p=0.868). However, there was a significant trend towards a reduction in the severity of harm associated with reported overdosing incidents (n=60, Mann-Whitney U value=301.0, p=0.012). Prescribers reported that the intervention was beneficial and they were also able to identify factors that may have contributed to the persistence of overdosing errors.

CONCLUSION

DRC CDS software did not reduce the incidence of prescription overdosing errors in a paediatric hospital setting but the level of harm associated with the overdosing errors may have been reduced. Use of the software seemed to be safe and it was perceived to be beneficial by prescribers.

Patterns of medication errors involving pediatric population reported to the French Medication Error Guichet

Background

Medication error is a global threat to patient safety, particularly in pediatrics. Yet, this issue remains understudied in this population, in both hospital and community settings.

Objectives

To characterize medication errors involving pediatrics reported to the French Medication Error Guichet, and compare them with medication errors in adults, in each of the hospital and community settings.

Methods

This was a retrospective secondary data analysis of medication errors reported throughout 2013-2017. Descriptive and multivariate analyses were performed to compare actual and potential medication error reports between pediatrics (aged <18 years) and adults (aged >18 and <60 years). Two subanalyses of actual medication errors with adverse drug reaction (ADR), and serious ADR were conducted.

Results

We analyzed 4,718 medication error reports. In pediatrics, both in hospital (n=791) and community (n=1,541) settings, antibacterials for systemic use (n=121, 15.7%; n=157, 10.4%, respectively) and wrong dose error type (n=391, 49.6%; n=549, 35.7%, respectively) were frequently reported in medication errors. These characteristics were also significantly more likely to be associated with reported errors in pediatrics compared with adults. In the hospital setting, analgesics (adjusted odds ratio (aOR)=1.59; 95% confidence interval (CI) 1.03:2.45), and blood substitutes and perfusion solutions (aOR=3.74; 95%CI 2.24:6.25) were more likely to be associated with reported medication errors in pediatrics; the latter drug class (aOR=3.02; 95%CI 1.59:5.72) along with wrong technique (aOR=2.28; 95%CI 1.01:5.19) and wrong route (aOR=2.74; 95%CI 1.22:6.15) error types related more to reported medication errors with serious ADR in pediatrics. In the community setting, the most frequently reported pediatric medication errors involved vaccines (n=389, 25.7%). Psycholeptics (aOR=2.42; 95%CI 1.36:4.31) were more likely to be associated with reported medication errors with serious ADR in pediatrics. Wrong technique error type (aOR=2.71; 95%CI 1.47:5.00) related more to reported medication errors with ADR in pediatrics.

Conclusions

We identified pediatric-specific medication error patterns in the hospital and community settings. Our findings inform focused error prevention measures, and pave the way for interventional research targeting the needs of this population.

How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis

OBJECTIVE

To conduct a systematic review and meta-analysis to assess: 1) changes in medication error rates and associated patient harm following electronic medication system (EMS) implementation; and 2) evidence of system-related medication errors facilitated by the use of an EMS.

MATERIALS AND METHODS

We searched Medline, Scopus, Embase, and CINAHL for studies published between January 2005 and March 2019, comparing medication errors rates with or without assessments of related harm (actual or potential) before and after EMS implementation. EMS was defined as a computer-based system enabling the prescribing, supply, and/or administration of medicines. Study quality was assessed.

RESULTS

There was substantial heterogeneity in outcomes of the 18 included studies. Only 2 were strong quality. Meta-analysis of 5 studies reporting change in actual harm post-EMS showed no reduced risk (RR: 1.22, 95% CI: 0.18-8.38, P = .8) and meta-analysis of 3 studies reporting change in administration errors found a significant reduction in error rates (RR: 0.77, 95% CI: 0.72-0.83, P = .004). Of 10 studies of prescribing error rates, 9 reported a reduction but variable denominators precluded meta-analysis. Twelve studies provided specific examples of system-related medication errors; 5 quantified their occurrence.

DISCUSSION AND CONCLUSION

Despite the wide-scale adoption of EMS in hospitals around the world, the quality of evidence about their effectiveness in medication error and associated harm reduction is variable. Some confidence can be placed in the ability of systems to reduce prescribing error rates. However, much is still unknown about mechanisms which may be most effective in improving medication safety and design features which facilitate new error risks.

Interventions to Reduce Pediatric Prescribing Errors in Professional Healthcare Settings: A Systematic Review of the Last Decade

INTRODUCTION

Pediatric medication therapy is prone to errors due to the need for pharmacokinetic and pharmacodynamic individualization and the diverse settings in which pediatric patients are treated. Prescribing errors have been reported as the most common medication error.

OBJECTIVES

The aim of this review was to systematically identify interventions to reduce prescribing errors and corresponding patient harm in pediatric healthcare settings and to evaluate their impact.

METHODS

Four databases were systematically screened (time range November 2011 to December 2019), and experimental studies were included. Interventions to reduce prescribing errors were extracted and classified according to a 'hierarchy of controls' model.

RESULTS

Forty-five studies were included, and 70 individual interventions were identified. A bundle of interventions was more likely to reduce prescribing errors than a single intervention. Interventions classified as 'substitution or engineering controls' were more likely to reduce errors in comparison with 'administrative controls', as is expected from the hierarchy of controls model. Fourteen interventions were classified as substitution or engineering controls, including computerized physician order entry (CPOE) and clinical decision support (CDS) systems. Administrative controls, including education, expert consultations, and guidelines, were more commonly identified than higher level controls, although they may be less likely to reduce errors. Of the administrative controls, expert consultations were most likely to reduce errors.

CONCLUSIONS

Interventions to reduce pediatric prescribing errors are more likely to be successful when implemented as part of a bundle of interventions. Interventions including CPOE and CDS that substitute risks or provide engineering controls should be prioritized and implemented with appropriate administrative controls including expert consultation.

Associations between double-checking and medication administration errors: a direct observational study of paediatric inpatients

BACKGROUND

Double-checking the administration of medications has been standard practice in paediatric hospitals around the world for decades. While the practice is widespread, evidence of its effectiveness in reducing errors or harm is scarce.

OBJECTIVES

To measure the association between double-checking, and the occurrence and potential severity of medication administration errors (MAEs); check duration; and factors associated with double-checking adherence.

METHODS

Direct observational study of 298 nurses, administering 5140 medication doses to 1523 patients, across nine wards, in a paediatric hospital. Independent observers recorded details of administrations and double-checking (independent; primed-one nurse shares information which may influence the checking nurse; incomplete; or none) in real time during weekdays and weekends between 07:00 and 22:00. Observational medication data were compared with patients' medical records by a reviewer (blinded to checking-status), to identify MAEs. MAEs were rated for potential severity. Observations included administrations where double-checking was mandated, or optional. Multivariable regression examined the association between double-checking, MAEs and potential severity; and factors associated with policy adherence.

RESULTS

For 3563 administrations double-checking was mandated. Of these, 36 (1·0%) received independent double-checks, 3296 (92·5%) primed and 231 (6·5%) no/incomplete double-checks. For 1577 administrations double-checking was not mandatory, but in 26·3% (n=416) nurses chose to double-check. Where double-checking was mandated there was no significant association between double-checking and MAEs (OR 0·89 (0·65-1·21); p=0·44), or potential MAE severity (OR 0·86 (0·65-1·15); p=0·31). Where double-checking was not mandated, but performed, MAEs were less likely to occur (OR 0·71 (0·54-0·95); p=0·02) and had lower potential severity (OR 0·75 (0·57-0·99); p=0·04). Each double-check took an average of 6·4 min (107 hours/1000 administrations).

CONCLUSIONS

Compliance with mandated double-checking was very high, but rarely independent. Primed double-checking was highly prevalent but compared with single-checking conferred no benefit in terms of reduced errors or severity. Our findings raise questions about if, when and how double-checking policies deliver safety benefits and warrant the considerable resource investments required in modern clinical settings.

Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy

OBJECTIVE

Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decision support system (CDSS) to review orders for patients undergoing outpatient endoscopy.

MATERIALS AND METHODS

The CDSS was developed and implemented by an expert panel using an agile approach. The CDSS queried patient-specific historical endoscopy records and applied expert consensus-derived logic and natural language processing to identify possible sedation order errors for human review. A retrospective analysis was conducted to evaluate impact, comparing 4-month pre-pilot and 12-month pilot periods.

RESULTS

22 755 endoscopy cases were included (pre-pilot 6434 cases, pilot 16 321 cases). The CDSS decreased the sedation-type order error rate on day of endoscopy (pre-pilot 0.39%, pilot 0.037%, Odds Ratio = 0.094, P-value < 1e-8). There was no difference in background prevalence of erroneous orders (pre-pilot 0.39%, pilot 0.34%, P = .54).

DISCUSSION

At our institution, low prevalence and high volume of cases prevented routine manual review to verify sedation order appropriateness. Using a cohort-enrichment strategy, a CDSS was able to reduce number of chart reviews needed per sedation-order error from 296.7 to 3.5, allowing for integration into the existing workflow to intercept rare but important ordering errors.

CONCLUSION

A workflow-integrated CDSS with expert consensus-derived logic rules and natural language processing significantly reduced endoscopy sedation-type order errors on day of endoscopy at our institution.

Practice-enhancing publications about the medication-use process in 2019

PURPOSE

This article identifies, prioritizes, and summarizes published literature on the medication-use process (MUP) from calendar year 2019 that can impact health-system pharmacy daily practice. The MUP is the foundational system that provides the framework for safe medication utilization within the healthcare environment. The MUP is defined in this article as having the following components: prescribing/transcribing, dispensing, administration, and monitoring. Articles that evaluated one of the steps were gauged for their usefulness in promoting daily practice change.

SUMMARY

A PubMed search was conducted in January 2020 for calendar year 2019 using targeted Medical Subject Headings keywords; in addition, searches of the table of contents of selected pharmacy journals were conducted. A total of 4,317 articles were identified. A thorough review identified 66 potentially practice-enhancing articles: 17 for prescribing/transcribing, 17 for dispensing, 7 for administration, and 25 for monitoring. Ranking of the articles for importance by peers led to the selection of key articles from each category. The highest-ranked articles are briefly summarized, with a mention of why each article is important within health-system pharmacy. The other articles are listed for further review and evaluation.

CONCLUSION

It is important to routinely review the published literature and to incorporate significant findings into daily practice; this article assists in identifying and summarizing the most impactful recently published literature in this area. Health-system pharmacists have an active role in improving the MUP in their institution, and awareness of the significant published studies can assist in changing practice at the institutional level.

Interventions to Reduce Medication Dispensing, Administration, and Monitoring Errors in Pediatric Professional Healthcare Settings: A Systematic Review

Introduction: Pediatric patients cared for in professional healthcare settings are at high risk of medication errors. Interventions to improve patient safety often focus on prescribing; however, the subsequent stages in the medication use process (dispensing, drug administration, and monitoring) are also error-prone. This systematic review aims to identify and analyze interventions to reduce dispensing, drug administration, and monitoring errors in professional pediatric healthcare settings. Methods: Four databases were searched for experimental studies with separate control and intervention groups, published in English between 2011 and 2019. Interventions were classified for the first time in pediatric medication safety according to the "hierarchy of controls" model, which predicts that interventions at higher levels are more likely to bring about change. Higher-level interventions aim to reduce risks through elimination, substitution, or engineering controls. Examples of these include the introduction of smart pumps instead of standard pumps (a substitution control) and the introduction of mandatory barcode scanning for drug administration (an engineering control). Administrative controls such as guidelines, warning signs, and educational approaches are lower on the hierarchy and therefore predicted by this model to be less likely to be successful. Results: Twenty studies met the inclusion criteria, including 1 study of dispensing errors, 7 studies of drug administration errors, and 12 studies targeting multiple steps of the medication use process. A total of 44 interventions were identified. Eleven of these were considered higher-level controls (four substitution and seven engineering controls). The majority of interventions (n = 33) were considered "administrative controls" indicating a potential reliance on these measures. Studies that implemented higher-level controls were observed to be more likely to reduce errors, confirming that the hierarchy of controls model may be useful in this setting. Heterogeneous study methods, definitions, and outcome measures meant that a meta-analysis was not appropriate. Conclusions: When designing interventions to reduce pediatric dispensing, drug administration, and monitoring errors, the hierarchy of controls model should be considered, with a focus placed on the introduction of higher-level controls, which may be more likely to reduce errors than the administrative controls often seen in practice. Trial Registration Prospero Identifier: CRD42016047127.

Prevalence of Medication Errors Among Paediatric Inpatients: Systematic Review and Meta-Analysis

INTRODUCTION

The risk of medication errors is high in paediatric inpatient settings. However, estimates of the prevalence of medication errors have not accounted for heterogeneity across studies in error identification methods and definitions, nor contextual differences across wards and the use of electronic or paper medication charts.

OBJECTIVE

Our aim was to conduct a systematic review and meta-analysis to provide separate estimates of the prevalence of medication errors among paediatric inpatients, depending on hospital ward and the use of electronic or paper medication charts, that address differences in error identification methods and definitions.

METHODS

We systematically searched five databases to identify studies published between January 2000 and December 2018 that assessed medication error rates by medication chart audit, direct observation or a combination of methods.

RESULTS

We identified 71 studies, 19 involved paediatric wards using electronic charts. Most studies assessed prescribing errors with few studies assessing administration errors. Estimates varied by ward type. Studies of paediatric wards using electronic charts generally reported a reduced error prevalence compared to those using paper, although there were some inconsistencies. Error detection methods impacted the rate of administration errors in studies of multiple wards, however, no other difference was found. Definition of medication error did not have a consistent impact on reported error rates.

CONCLUSIONS

Medication errors are a frequent occurrence in paediatric inpatient settings, particularly in intensive care wards and emergency departments. Hospitals using electronic charts tended to have a lower rate of medication errors compared to those using paper charts. Future research employing controlled designs is needed to determine the true impact of electronic charts and other interventions on medication errors and associated harm among hospitalized children.

Prevalence and Nature of Medication Errors and Preventable Adverse Drug Events in Paediatric and Neonatal Intensive Care Settings: A Systematic Review

INTRODUCTION

Children admitted to paediatric and neonatal intensive care units may be at high risk from medication errors and preventable adverse drug events.

OBJECTIVE

The objective of this systematic review was to review empirical studies examining the prevalence and nature of medication errors and preventable adverse drug events in paediatric and neonatal intensive care units.

DATA SOURCES

Seven electronic databases were searched between January 2000 and March 2019.

STUDY SELECTION

Quantitative studies that examined medication errors/preventable adverse drug events using direct observation, medication chart review, or a mixture of methods in children ≤ 18 years of age admitted to paediatric or neonatal intensive care units were included.

DATA EXTRACTION

Data on study design, detection method used, rates and types of medication errors/preventable adverse drug events, and medication classes involved were extracted.

RESULTS

Thirty-five unique studies were identified for inclusion. In paediatric intensive care units, the median rate of medication errors was 14.6 per 100 medication orders (interquartile range 5.7-48.8%, n = 3) and between 6.4 and 9.1 per 1000 patient-days (n = 2). In neonatal intensive care units, medication error rates ranged from 4 to 35.1 per 1000 patient-days (n = 2) and from 5.5 to 77.9 per 100 medication orders (n = 2). In both settings, prescribing and medication administration errors were found to be the most common medication errors, with dosing errors the most frequently reported error subtype. Preventable adverse drug event rates were reported in three paediatric intensive care unit studies as 2.3 per 100 patients (n = 1) and 21-29 per 1000 patient-days (n = 2). In neonatal intensive care units, preventable adverse drug event rates from three studies were 0.86 per 1000 doses (n = 1) and 0.47-14.38 per 1000 patient-days (n = 2). Anti-infective agents were commonly involved with medication errors/preventable adverse drug events in both settings.

CONCLUSIONS

Medication errors occur frequently in critically ill children admitted to paediatric and neonatal intensive care units and may lead to patient harm. Important targets such as dosing errors and anti-infective medications were identified to guide the development of remedial interventions.

The Impact of Technology on Prescribing Errors in Pediatric Intensive Care: A Before and After Study

BACKGROUND

Increased use of health information technology (HIT) has been advocated as a medication error reduction strategy. Evidence of its benefits in the pediatric setting remains limited. In 2012, electronic prescribing (ICCA, Philips, United Kingdom) and standard concentration infusions (SCIs)-facilitated by smart-pump technology-were introduced into the pediatric intensive care unit (PICU) of an Irish tertiary-care pediatric hospital.

OBJECTIVE

The aim of this study is to assess the impact of the new technology on the rate and severity of PICU prescribing errors and identify technology-generated errors.

METHODS

A retrospective, before and after study design, was employed. Medication orders were reviewed over 24 weeks distributed across four time periods: preimplementation (Epoch 1); postimplementation of SCIs (Epoch 2); immediate postimplementation of electronic prescribing (Epoch 3); and 1 year postimplementation (Epoch 4). Only orders reviewed by a clinical pharmacist were included. Prespecified definitions, multidisciplinary consensus and validated grading methods were utilized.

RESULTS

A total of 3,356 medication orders for 288 patients were included. Overall error rates were similar in Epoch 1 and 4 (10.2 vs. 9.8%; p = 0.8), but error types differed (p < 0.001). Incomplete and wrong unit errors were eradicated; duplicate orders increased. Dosing errors remained most common. A total of 27% of postimplementation errors were technology-generated. Implementation of SCIs alone was associated with significant reductions in infusion-related prescribing errors (29.0% [Epoch 1] to 14.6% [Epoch 2]; p < 0.001). Further reductions (8.4% [Epoch 4]) were identified after implementation of electronically generated infusion orders. Non-infusion error severity was unchanged (p = 0.13); fewer infusion errors reached the patient (p < 0.01). No errors causing harm were identified.

CONCLUSION

The limitations of electronic prescribing in reducing overall prescribing errors in PICU have been demonstrated. The replacement of weight-based infusions with SCIs was associated with significant reductions in infusion prescribing errors. Technology-generated errors were common, highlighting the need for on-going research on HIT implementation in pediatric settings.

A cross-sectional multisite exploration of Italian paediatric nurses' reported burnout and its relationship to perceptions of clinical safety and adverse events using the RN4CAST@IT-Ped

AIM

To explore Italian paediatric nurses' reported burnout and its relationship to their perceptions of safety and adverse events.

DESIGN

A cross-sectional study using the RN4CAST@IT-Ped database with a web-based survey design.

METHODS

The RN4CAST@IT-Ped questionnaire was used to collect data in 2017. This comprised three main components: three dimensions (22 items) of the Maslach Burnout Inventory including emotional exhaustion, depersonalization and personal accomplishment. Participants also scored an overall grade of patient safety and estimated the occurrence of adverse clinical events.

RESULTS

Nurses (N = 2,243) reported high levels of burnout. Most rated clinical safety as high. The risk of adverse events ranged from 1.3-12.4%. The degree of burnout appeared to influence the perception of safety and adverse events.

CONCLUSION

The association between nurses' burnout and perceptions of higher rates of adverse events and reduced safety in clinical practice is an important finding. However, it is unclear whether this was influenced by a negative state of mind, and whether reduced safety and increased adverse events negatively influenced nurses' well-being, thus leading to burnout. Regardless, the association between nurses' burnout and these quality concepts needs further exploration to examine the effect, if any, on burnout and safety, and identify supportive mechanisms for nurses.

IMPACT

The association between reported burnout and perception of safety and risk of adverse events in Italian paediatric nurses has been reported for the first time. Nurses reporting burnout are at greater risk of intensely negative perceptions of clinical safety and adverse events. This is an important finding as perceptions can influence practice and behaviours. Quality measures in children's clinical environments need to go beyond obvious indicators to examine nurses' well-being as this also influences quality and safety.

Standardising the Classification of Harm Associated with Medication Errors: The Harm Associated with Medication Error Classification (HAMEC)

Classifying harm associated with a medication error can be time consuming and labour intensive and limited studies undertake this step. There is no standardised process, and few studies that report harm assessment provide adequate methods to allow for study replication. Studies typically mention that a clinical review panel classified patient harm and provide a reference to a classification tool. Moreover, in many studies it is unclear whether potential or actual harm was classified as studies refer only to ‘error severity’. The tools used to categorise the severity of patient harm vary widely across studies and few have been assessed for inter-rater reliability and criterion validity. In this paper, we describe the systematic process we undertook to synthesise the defining elements and strengths, while mitigating the limitations, of existing harm classification tools to derive the Harm Associated with Medication Error Classification (HAMEC). This new tool provides a harm classification for use across clinical and research settings. The provision of an explicit process for its application and guiding category descriptors are designed to reduce the risk of misclassification and produce results that are comparable across studies. As the World Health Organisation embarks on its international safety challenge of reducing medication-related harm by 50%, accompanying methodological advances are required to measure progress.

Inappropriate prescribing defined by STOPP and START criteria and its association with adverse drug events among hospitalized older patients: A multicentre, prospective study

Objectives

To provide baseline information on inappropriate prescribing (IP), and to evaluate whether potentially inappropriate medications (PIMs), as defined by STOPP (Screening Tool of Older Persons' potentially inappropriate Prescriptions) criteria, were associated with preventable adverse drug events (ADEs) and/or hospitalization.

Methods

We prospectively studied older patients (n = 301) admitted to three urban, public-funded hospitals. We scrutinized their medical records and used STOPP-START (Screening Tool to Alert Prescribers to Right Treatment) criteria to determine PIM and potential prescribing omissions (PPO) respectively- together these constitute IP. Prescriptions with PIM(s) were subjected to a pharmacist medication review, aimed at detecting cases of ADE(s). The vetted cases were further assessed by an expert consensus panel to ascertain: i) causality between the ADE and hospitalization, using, the World Health Organization Uppsala Monitoring Centre criteria, and, ii) whether the ADEs were avoidable (using Hallas criteria). Finally, percentages of PIM-associated ADEs that were both preventable and linked to hospitalization were calculated.

Results

IP prevalence was 58.5% (n = 176). A majority (49.5%, n = 150) had moderate to severe degree of comorbidities (Charlson Comorbidity Index score ≥ 3). Median age was 72 years. Median number of medications was 6 and 30.9% (n = 93) had ≥8 medications. PIM prevalence was 34.9% (117 PIMs, n = 105) and PPO 37.9% (191 PPOs, n = 114). Most PIMs and PPOs involved overuse of aspirin and underuse of both antiplatelets and statins respectively. With every increase in the number of medications prescribed, the likelihood of PIM occurrence increased by 20%, i.e.1.2 fold (OR 1.20, 95% CI: 1.1–1.3). Among the 105 patients with PIMs, 33 ADEs (n = 33); 31 ADEs (n = 31) considered “causal” or “contributory” to hospitalization; 27 ADEs (n = 27) deemed “avoidable” or “potentially avoidable”; and 25 PIM-associated ADEs, preventable, and that induced hospitalization (n = 25), were identified: these equated to prevalence of 31.4%, 29.5%, 25.7%, and 23.8% respectively. The most common ADEs were masked hypoglycemia and gastrointestinal bleed. With every additional PIM prescribed, the odds for ADE occurrence increased by 12 folds (OR 11.8, 95% CI 5.20–25.3).

Conclusion

The majority of the older patients who were admitted to secondary care for acute illnesses were potentially exposed to IP. Approximately a quarter of the patients were prescribed with PIMs, which were plausibly linked with preventable ADEs that directly caused or contributed to hospitalization.