Preventable Adverse Drug Events Research Articles

Study of Medication Reconciliation Process at the Time of Admission in the Patients of a Tertiary Care Teaching Hospital.

Reconciliation errors are those that are considered harmful or possibly dangerous to patients; in fact, reconciliation errors significantly influence adverse drug events (ADEs) among admitted and discharged patients. Medication reconciliation facilitates the identification and prevention of medication errors and adverse drug events. Worldwide, ongoing medication management is a major source of concern for patient safety. Therefore, this study aims to study medication reconciliation on admission in trauma and emergency care (TEC) at a tertiary care teaching hospital. The objective of our study was to identify discrepancies and medication errors. A prospective observational study on medication reconciliation was conducted at the Tertiary Care Teaching Hospital of Shree Krishna Hospital (SKH) in Karamsad, Anand, from February 2023 to February 2024. The total number of identified discrepancies on admission was 64 in 45 patients. Out of 64 discrepancies, 39 were of adding type, documented as intentional discrepancies and 25 were of omission type, documented as unintentional discrepancies. The majority of those errors were moderate to severe in terms of severity. The results of this study demonstrate the importance of identifying medication discrepancies in hospital settings and provide evidence for the need to establish medication reconciliation services that would assist healthcare providers in identifying and resolving medication discrepancies.

An Integrated Approach for Representing Knowledge on the Potential of Drugs to Cause Acute Kidney Injury.

The recent rise in acute kidney injury (AKI) incidence, with approximately 30% attributed to potentially preventable adverse drug events (ADEs), poses challenges in evaluating drug-induced AKI due to polypharmacy and other risk factors. This study seeks to consolidate knowledge on the drugs with AKI potential from four distinct sources: (i) bio(medical) peer-reviewed journals; (ii) spontaneous reporting systems (SRS); (iii) drug information databases (DIDs); and (iv) NephroTox website. By harnessing the potential of these underutilised sources, our objective is to bridge gaps and enhance the understanding of drug-induced AKI. By searching Medline, studies with lists of drugs with AKI potential established through consensus amongst medical experts were selected. A final list of 63 drugs was generated aggregating the original studies. For these 63 drugs, the AKI reporting odds ratios (RORs) using three SRS databases, the average frequency of ADEs from four different DIDs and the number of published studies identified via NephroTox was reported. Drugs belonging to the antivirals, antibacterials, and non-steroidal anti-inflammatory pharmacological classes exhibit substantial consensus on AKI potential, which was also reflected in strong ROR signals, frequent to very frequent AKI-related ADEs and a high number of published studies reporting adverse kidney events as identified via NephroTox. Renin-angiotensin aldosterone system inhibitors and diuretics also display comparable signal strengths, but this can be attributed to expected haemodynamic changes. More variability is noted for proton-pump inhibitors. By integrating four disjointed sources of knowledge, we have created a novel, comprehensive resource on drugs with AKI potential, contributing to kidney safety improvement efforts.

Free Text Analysis: Identification of adverse drug events in clinical notes

ObjectiveTo explore the prevalence of adverse drug events (ADE) leading to drug changes using Artificial Intelligence (AI) based free text analysis of primary care encounter notes . ApproachWe used electronic medical record l encounter notes linked to population-based drug dispensation records. Dispensation records were used to identify drug switching to another agent in the same therapeutic class, which could suggest an undesirable side-effect requiring discontinuation of the drug. We annotated clinical notes by identifying ADEs after retrieving the last encounter note written for that patient on or before the identified date. We ran different AI models, including BERT and Large Language Models (LLMs), to identify ADEs. ResultsWe annotated 1085 notes with 362 ADEs. These were used to train BERT models (precision or PPV: 0.584 ) and prompt-based LLM (0.563) but with improved sensitivity (0.725) and specificity (0.739) . ConclusionsIdentifying ADEs requires deep medical knowledge and simple Natural Language Processing models trying to identify ADEs only on the basis of language of encounter notes was not successful based on the BERT model performance. Prompt based models have deep knowledge but were trained with the objective of producing grammatically correct, coherent sentences, not with the medical knowledge required. LLMs also require significant computational power. ImplicationsWhile AI does have significant potential to advance our capacity for complex analytic tasks the current LLMs are not yet able to adequately identify ADEs in a corpus of electronic clinical notes.

Effectiveness of a Mobile App (Meds@HOME) to Improve Medication Safety for Children With Medical Complexity: Protocol for a Randomized Controlled Trial.

This study will pilot-test the mobile app, Medication Safety @HOME-Meds@HOME intervention to improve medication administration accuracy, reduce preventable adverse drug events, and ultimately improve chronic care management for children with medical complexity (CMC). The Meds@HOME app was co-designed with CMC families, secondary caregivers (SCGs), and health professionals to support medication management for primary caregivers (PCGs) and SCGs of CMC. We hypothesize that Meds@HOME will improve caregivers' medication administration accuracy, reduce preventable adverse drug events, and ultimately improve chronic care management. This study aims to evaluate the effectiveness of Meds@HOME on medication administration accuracy for PCGs and SCGs. This study will recruit up to 152 PCGs and 304 SCGs of CMC who are prescribed at least 1 scheduled high-risk medication and receive care at the University of Wisconsin American Family Children's Hospital. PCGs will be randomly assigned, for the 6-month trial, to either the control group (not trialing Meds@HOME) or the intervention group (trialing Meds@HOME) using 1:1 ratio. The Meds@HOME app allows caregivers to create a child profile, store medication and care instructions, and receive reminders for upcoming and overdue care routines and medication refills. Surveys completed both at the start and end of the trial measure demographics, medication delivery knowledge, confidence in the CMC's caregiving network, and comfort with medical information. Univariate and multivariate generalized estimation equations will be used for primary statistical analysis. The primary outcome is the PCG's rate of medication administration accuracy measured as correct identification of each of the following for a randomly selected high-risk medication: indication, formulation, dose, frequency, and route at baseline and after 6 months. Secondary outcomes include SCG medication administration accuracy (indication, formulation, dose, frequency, and route), count of University of Wisconsin hospital and emergency department encounters, PCG-reported medication adherence, count of deaths, and PCG medication confidence and understanding. Recruitment for this study began on November 29, 2023. As of May 15, 2024, we have enrolled 94/152 (62%) PCGs. We expect recruitment to end by August 1, 2024, and the final participant will complete the study by January 28, 2025, at which point we will start analyzing the complete responses. We expect publication of results at the end of 2025. The Meds@HOME mobile app provides a promising strategy for improving PCG medication safety for CMC who take high-risk medications. In addition, this protocol highlights novel procedures for recruiting SCGs of CMC. In the future, this app could be used more broadly across diverse caregiving networks to navigate complex medication routines and promote medication safety. ClinicalTrials.gov NCT05816590; https://clinicaltrials.gov/study/NCT05816590. DERR1-10.2196/60621.

Protocol for the development and validation of a trigger tool for antiretroviral ADE detection among adult HIV/AIDS patients: A short communication

Antiretroviral therapy (ART) is a lifelong combination therapy which has been very promising in managing HIV/AIDs but reported to have several adverse events on the recipients, affecting the desired antiretroviral therapeutic goals. Adverse drug event detection and prevention therefore become very important safety culture maintenance tools among patients living with HIV/AIDS. The designed protocol provided step by step approaches to develop and validate a trigger tool for detection of adverse drug events (ADE) among adult HIV/AIDS patients. The approaches involved include a baseline (Pre-trigger tool development) retrospective clinical record review to establish a baseline ADE detection capacity of a conventional non-trigger tool method; the Delphi panel process to develop the trigger tool in question; Face and content validity approach for validation of the developed trigger tool; Pilot test of the trigger tool using small clinical record sample; determining the effectiveness of the developed trigger tool through the retrospective clinical record review of same samples reviewed at the baseline. Finally, the protocol described the process of determining the feasibility of the developed trigger tool through the survey of the clinical record review team members.

Antiretroviral adverse drug events reported among adult HIV patients in a Nigerian tertiary hospital: A retrospective study

Background: The use of Highly Active Antiretroviral Therapy (HAART) has changed HIV/AIDS from a near-certainly fatal illness to one that can be managed chronically. A significant constraint of HAART is the high prevalence of adverse drug events (ADE) among HIV patients taking them. Objectives: The study determined the frequency and severity of reported antiretroviral adverse events among HIV-infected adults (≥16 years) at the Institute of Human Virology (IHV) Clinic of Nnamdi Azikiwe University Teaching Hospital Nnewi, Anambra State, Nigeria, within five years. Antiretroviral therapies implicated in the reported adverse drug events were also determined. Method: Information on reported ADEs was extracted from the NAFDAC Pharmacovigilance forms in the Pharmacovigilance section of the IHV Clinic Pharmacy. The severity of ADEs was classified using the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) index for categorizing errors. Results: A hundred and nineteen (119) patients reported 161 ADEs within the 5-year study period (2017-2021). Most ADE reports came from females (74.53%) and patients 36-55 years old. Dizziness (31.1%), Rashes (14.3%), and Fatigue (13.0%) were prominent among all the ADE reports documented. TDF/3TC/EFV (57.8%) and AZT/3TC/NVP (11.8 %) combinations were the frequently implicated antiretroviral regimen. All the ADEs reported were mild (Category ‘E’). ADE reports appreciated in the second year and progressively declined afterwards. Conclusion: There is a need to improve the system for antiretroviral ADE reporting through sensitization and developing a specific tool that enhances ADE reports from patients and healthcare providers.

Frequency and preventability of adverse drug events in the outpatient setting

BackgroundLimited data exist regarding adverse drug events (ADEs) in the outpatient setting. The objective of this study was to determine the incidence, severity, and preventability of ADEs in the outpatient...

Association of Pharmacist Interventions With Adverse Drug Events and Potential Adverse Drug Events.

Adverse drug events (ADEs) are a frequent cause of injury in patients. Our aim was to assess whether pharmacist interventions compared with no pharmacist intervention results in reduced ADEs and potential adverse drug events (PADEs). We searched MEDLINE, Embase, and two other databases through September 19, 2022 for any RCT assessing the effect of a pharmacist intervention compared with no pharmacist intervention and reporting on ADEs or PADEs. The risk of bias was assessed using the Cochrane tool for RCTs. A random-effects model was used to pool summary results from individual RCTs. Fifteen RCTs met the inclusion criteria. The pooled results showed a statistically significant reduction in ADE associated with pharmacist intervention compared with no pharmacist intervention (RR = 0.86; [95% CI 0.80-0.94]; p = 0.0005) but not for PADEs (RR = 0.79; [95% CI 0.47-1.32]; p = 0.37). The heterogeneity was insignificant (I2 = 0%) for ADEs and substantial (I2 = 77%) for PADEs. Patients receiving a pharmacist intervention were 14% less likely for ADE than those who did not receive a pharmacist intervention. The estimated number of patients needed to prevent one ADE across all patient locations was 33. To our knowledge, this is the first systematic review and meta-analysis of RCTs seeking to understand the association of pharmacist interventions with ADEs and PADEs. The risk of having an ADE is reduced by a seventh for patients receiving a pharmacist care intervention versus no such intervention. The estimated number of patients needed to be followed across all patient locations to prevent one preventable ADE across all patient locations is 33.

Cost-avoidance associated with implementation of an overnight emergency medicine pharmacist at a Level I Trauma, Comprehensive Stroke Center

AimTo investigate the cost-avoidance associated with implementation of an overnight emergency medicine pharmacist (EMP) through documented clinical interventions. DesignRetrospective evaluation of prospectively tracked interventions in a single Level I Trauma, Comprehensive Stroke Center, from November 25, 2020 through March 12, 2021 during expanded emergency medicine service hours (2300–0700). InterventionsOne of 45 clinical patient-care recommendations associated with cost-avoidance were available to be selected and documented by the EMP; more than one intervention was allowed per patient, though one clinical intervention could not be counted as multiple items. Documented services were associated with monetary cost avoidance based upon available literature assessing pharmacy clinical interventions. Differences in time from imaging to systemic thrombolytics and percentage of patients meeting door-to-alteplase benchmarks were compared with and without the availability of EMPs. ResultsOvernight EMPs documented 820 interventions during 107 overnight shifts with a cost avoidance of $612,974. The most common interventions were bedside monitoring (n = 127; $50,694), drug information consultation (97; $11,269), and antimicrobial therapy initiation and streamlining (95; $60,101). When categorizing interventions, 378 (46%; $292,484) were input as hands-on care, 216 (26%; $94,899) as individualization of patient care, 135 (17%; $25,897) as administrative and supportive tasks, 84 (10%; $121,746) as adverse drug event prevention, and 7 (1%; $77,964) as resource utilization. All patients (n = 6) with an acute ischemic stroke during the evaluation period received systemic thrombolytics ≤45 min in the presence of EMPs compared with 50% receiving thrombolytics ≤45 min without EMPs. ConclusionsExpanded overnight coverage by EMPs provided clinical bedside pharmacotherapy expertise to critically ill patients otherwise not available prior to study implementation. Clinical interventions were associated with substantial cost-avoidance.

Drug Related Problems among Older Inpatients at a Tertiary Care Setting.

Background: Older persons are more likely to have multiple chronic diseases, leading to the simultaneous use of many medications. This situation results in increased drug-related problems (DRPs), which are the causes of adverse health outcomes. Therefore, we aimed to evaluate the prevalence of and associated risk factors for exposure to >1 criterion of DRPs among older adults admitted to a tertiary care hospital. Methods: We conducted a cross-sectional study involving 357 participants aged ≥60 years admitted to Ramathibodi Hospital from 1 February 2022 to 30 November 2022. The participants were evaluated for baseline characteristics, medications and DRPs and were classified into two groups, according to their exposure to DRPs: patients with exposure to ≤1 criteria and patients with exposure to >1 criterion of DRPs. Multivariate logistic regression analysis was performed to determine the independent risk factors for exposure to >1 criterion of DRPs. Results: Overall, 205 (57.4%) patients experienced >1 criterion of DRPs. Approximately 67.8%, 71.7% and 7.6% of the participants were exposed to at least one potentially inappropriate medication (PIM), drug-drug interaction (DDI) and adverse drug events (ADE), respectively. The most frequently prescribed PIMs were proton pump inhibitors (PPIs) (17.3%). Antineoplastics (48.1%) were the most frequently drug class related to ADEs. Overall, 37% of the ADEs in the current study were considered preventable ADEs. After adjustment for potential confounders, polypharmacy and the use of proton pump inhibitors, hypoglycemics, diuretics, psycholeptics, psychoanaleptics and cardiac therapy medications were correlated with a higher risk of exposure to > 1 criterion of PIMs, DDIs or ADEs. Conclusions: Therefore, comprehensive medication reviews and careful medication prescriptions are recommended in the geriatric population.

Impact of pharmacist-supported transition of care services in the Middle East and North Africa: a systematic review and meta-analysis.

Transition of care (TOC) is associated with an increased risk of medication-related problems. Despite recent advancements in pharmacy practice and research in the Middle East and North Africa (MENA), the characteristics and impact of regional pharmacy-supported TOC interventions remain unclear.This systematic review and meta-analysis aimed to describe pharmacist-supported TOC interventions in the MENA region and evaluate their effectiveness. PubMed, CINAHL, EMBASE, Web of Science, World Health Organization's International Clinical Trials Registry Platform (ICTRP) were searched from their inception to March 9, 2023, for experimental studies published in English, comparing pharmacist-supported TOC interventions with usual care for adults (age ≥18 years) discharged from the hospital. The risk of bias was evaluated using Cochrane's risk-of-bias tool for randomised trials (ROB2) and the risk of bias in non-randomised studies of interventions (ROBINS-I) tool for randomised and non-randomised studies respectively. Narrative syntheses and meta-analysis methods were employed depending on the outcomes evaluated. Twelve studies (n = 2377 subjects), 10 randomised controlled trials and 2 quasi-experimental studies, were included. Most studies had high or serious risk of bias. The included studies were quite heterogeneous in terms of nature and the delivery of intervention, and assessment of outcome measures. Compared to the usual care group, pharmacist-led TOC interventions contributed to a significant reduction in preventable drug-related (N = 2) and cardiac-related healthcare utilisation (N = 1), a significant reduction in preventable adverse drug events (ADEs) (Odds ratio (OR) 0.34, 95% CI: 0.13-0.94) and an improvement in medication adherence. However, all-cause hospitalisation and medication discrepancies were not significantly reduced. Pharmacy-supported TOC interventions may improve patient outcomes in the MENA region. However, considering the limited quality of evidence and the variability in intervention delivery, future well-designed clinical trials are needed.

Financial impact of medication reviews by clinical pharmacists to reduce in-hospital adverse drug events: a return-on-investment analysis

BackgroundAdverse drug events contribute to rising health care costs. Clinical pharmacists can reduce their risks by identifying and solving drug-related problems (DRPs) through medication review.AimTo develop an economic model to determine whether medication reviews performed by clinical pharmacists could lead to a reduction in health care costs associated with the prevention of potential adverse drug events.MethodTwo pharmacists performed medication reviews during ward rounds in an internal medicine setting over one year. Avoided costs were estimated by monetizing five categories of DRPs (improper drug selection, drug interactions, untreated indications, inadequate dosages, and drug use without an indication). An expert panel assessed potential adverse drug events and their probabilities of occurrence for 20 randomly selected DRPs in each category. The costs of adverse drug events were extracted from internal hospital financial data. A partial economic study from a hospital perspective then estimated the annual costs avoided by resolving DRPs identified by 3 part-time clinical pharmacists (0.9 full-time equivalent) from 2019 to 2020. The return on investment (ROI) of medication review was calculated.ResultsThe estimated annual avoided costs associated with the potential adverse drug events induced by 676 DRPs detected was € 304,170. The cost of a 0.9 full-time equivalent clinical pharmacist was € 112,408. Extrapolated to 1 full-time equivalent, the annual net savings was € 213,069 or an ROI of 1–1.71. Sensitivity analyses showed that the economic model was robust.ConclusionThis economic model revealed the positive financial impact and favorable return on investment of a medication review intervention performed by clinical pharmacists. These findings should encourage the future deployment of a pharmacist-led adverse drug events prevention program.

Risk factors associated to adverse drug events in hospitalized patients

To determine prevalence, causes and risk factors of ADE in hospitalized patients. Analytical, observational, case-control study of patients with ADE. For statistical analysis, the following were calculated: percentages, frequencies, averages; odds ratio, χ2 test and multiple binary logistic regression. Data analysis was carried out with the Statistical Package, for the Social Sciences 23 program. A 132 patients were registered: 66 cases (26 EM and 40 RAM) and 66 controls; with average age of 35 years (SD 17.41). The prevalence of adverse drug events was 3.6%. The most frequently reported medications: antibiotics and anti-inflammatories. The frequency of adverse events by gender was: 39.3% men and 60.7% women. The services with the greatest patient care: emergencies, surgery; the most frequent route of administration: intravenous (32.3%). The main symptoms: skin. (32.3%) frequent symptoms: cutaneous. Associated symptoms RAM: type A pruritus (OR: 8.5; p = 0.001; IC95%: 0.035-0.393), type B pruritus (OR: 11; p = 0.001; CI95%: 0.021-0.368) urticaria (OR: 19; p = 0.005; IC95%: 0.007-0.412). Risk factors Associated EAM: female (OR: 2.6; p = 0.05; CI95%: 1.33-5.43), history of allergy (OR: 3.4; p = 0.033; CI95%: 1.04-8.40), prolonged hospital stays (OR: 5.4; p = 0.023; IC95%: 3.82-6.74). Patient safety is a priority when prescribing any drug, which represents a key point in prevention.

Probable effects of polypharmacy and equivalent doses of psychotropic drugs on prevalence of adverse drug events among psychiatric inpatients in a general hospital in Japan.

In psychiatry, polypharmacy or high psychotropic drug doses increase adverse drug event (ADE) prevalence. However, the full relationship between polypharmacy and ADEs is unclear, and few studies have evaluated dose equivalents for psychotropic drugs for ADEs. Thus, we conducted a retrospective analysis to clarify the effects of polypharmacy and chlorpromazine (CP)-, diazepam (DAP)-, and imipramine- equivalent doses on all ADEs in inpatients. Psychiatric inpatients in a Japanese hospital from April 1, 2016 to March 31, 2018, were enrolled. ADE severity and causality were assessed. Multiple logistic regression analyses were performed to evaluate ADE risk factors. Among 462 patients analyzed, out of 471 patients enrolled, 145 (31.4%) experienced ADEs. The causality assessment determined that "possible" was 96.5%. The most common ADEs were nervous system disorders (35%). Multiple logistic regression analyses indicated an increase in ADE prevalence with the number of drugs used (≥5; p=0.026); CP-equivalent dose (p=0.048); and endocrine, nutritional, and metabolic disorders (p=0.045). DAP-equivalent dose; infectious and parasitic diseases; and injury, poisoning, and consequences of other external causes decreased ADE prevalence (p=0.047, 0.022, and 0.021, respectively). Avoiding polypharmacy in psychiatric inpatients and adjusting drug regimens to safe equivalent doses could reduce ADEs during hospitalization.

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

This study aimed to assess the overall economic impact of clinical pharmacist interventions in the neonatal ICU (NICU) in Qatar. A retrospective review of neonates' records was performed over a 3-month duration in the NICU of Qatar to determine the total economic benefit of clinical pharmacist interventions. The total benefit of interventions was calculated by considering the cost avoidance due to preventable adverse drug events (ADEs) and the cost savings associated with the revised resource use due to interventions. Sensitivity analyses were conducted to ensure the robustness and generalizability of the results. A total of 513 interventions were analyzed, involving 150 neonates. Most of the drug-related problems were related to therapy dosing, followed by drug choice appropriateness, the addition of prophylactic treatment, and administration frequency. The overall annual benefit was estimated at QAR 4,178,352 (1,147,584), which consisted of cost avoidance of QAR 1,050,680 (USD 288,648) and an overall cost saving of QAR -6091 (USD -1673). While the clinical pharmacist interventions led to increased resource utilisation and associated costs, when considering the avoided costs of ADEs, the overall clinical pharmacist practices in the NICU setting were economically beneficial.

Impact of an inpatient pharmacist-driven renal dosing policy on order verification time and patient safety.

Research regarding pharmacist-driven renal dosing policies has focused on cost savings or prevention of adverse drug events. However, little is known about how these policies influence time from order signature to order verification or how this efficiency may reduce the incidence of adverse outcomes. Objectives: The primary endpoint compared time from prescriber electronic order signature to pharmacist electronic order verification between pre- and post-renal dosing policy implementation. The secondary endpoint evaluated electrocardiogram QTc prolongation attributed to fluconazole accumulation in renal impairment. Methods: This retrospective analysis included adults with a creatine clearance ⩽50 mL/min who received at least two inpatient doses from a 34-medication renal dosing protocol between January-February 2020 and April-May 2020. Results: 502 patients met eligibility for the primary outcome. The pre- and post-policy cohorts shared similar baseline characteristics. Time from order signature to verification was 9 and 8 min in the pre- and post-policy groups, respectively (p = 0.0861). In all, 56 patients met inclusion criteria for the secondary outcome. The QTc interval during fluconazole increased relative to baseline in 3 of 7 (43%) pre-policy and 4 of 5 (80%) post-policy. The QTc interval exceeded 500 ms in two patients, both in the post-policy cohort. Conclusions: There was no difference in order signature to verification time. Post-policy fluconazole renal adjustment did not reduce QTc prolongation.

Active monitoring of antifungal adverse events in hospitalized patients based on Global Trigger Tool method.

The increasing prevalence of fungal infections necessitates broader use of antifungal medications. However, the prevalence of adverse drug events (ADEs) restricts their clinical application. This study aimed to develop a reliable ADEs trigger for antifungals to enable proactive ADEs monitoring, serving as a reference for ADEs prevention and control. This investigation comprises two phases. Initially, the trigger was established via a literature review, extraction of relevant items, and refinement through Delphi expert consultation. Subsequently, the validity of the trigger was assessed by analyzing hospital records of antifungal drug users from 1 January 2019 to 31 December 2020. The correlation between each trigger signal and ADEs occurrence was examined, and the sensitivity and specificity of the trigger were evaluated through the spontaneous reporting system (SRS) and Global Trigger Tool (GTT). Additionally, risk factors contributing to adverse drug events (ADEs) resulting from antifungal use were analyzed. Results: Twenty-one preliminary triggers were refined into 21 final triggers after one expert round. In the retrospective analysis, the positive trigger rate was 65.83%, with a positive predictive value (PPV) of 28.75%. The incidence of ADEs in inpatients was 28.75%, equating to 44.58 ADEs per 100 admissions and 33.04 ADEs per 1,000 patient days. Predominant ADEs categories included metabolic disturbances, gastrointestinal damage, and skin rashes. ADEs severity was classified into 36 cases at grade 1, 160 at grade 2, and 18 at grade 3. The likelihood of ADEs increased with longer stays, more positive triggers, and greater comorbidity counts. This study underscores the effectiveness of the GTT in enhancing ADEs detection during antifungal medication use, thereby confirming its value as a monitoring tool.

An mHealth Design to Promote Medication Safety in Children with Medical Complexity.

Children with medical complexity (CMC) are uniquely vulnerable to medication errors and preventable adverse drug events because of their extreme polypharmacy, medical fragility, and reliance on complicated medication schedules and routes managed by undersupported family caregivers. There is an opportunity to improve CMC outcomes by designing health information technologies that support medication administration accuracy, timeliness, and communication within CMC caregiving networks. The present study engaged family caregivers, secondary caregivers, and clinicians who work with CMC in a codesign process to identify: (1) medication safety challenges experienced by CMC caregivers and (2) design requirements for a mobile health application to improve medication safety for CMC in the home. Study staff recruited family caregivers, secondary caregivers, and clinicians from a children's hospital-based pediatric complex care program to participate in virtual codesign sessions. During sessions, the facilitator-guided codesigners in generating and converging upon medication safety challenges and design requirements. Between sessions, the research team reviewed notes from the session to identify design specifications and modify the prototype. After design sessions concluded, each session recording was reviewed to confirm that all designer comments had been captured. A total of N = 16 codesigners participated. Analyses yielded 11 challenges to medication safety and 11 corresponding design requirements that fit into three broader challenges: giving the right medication at the right time; communicating with others about medications; and accommodating complex medical routines. Supporting quotations from codesigners and prototype features associated with each design requirement are presented. This study generated design requirements for a tool that may improve medication safety by creating distributed situation awareness within the caregiving network. The next steps are to pilot test tools that integrate these design requirements for usability and feasibility, and to conduct a randomized control trial to determine if use of these tools reduces medication errors.

UnDerstandIng the cauSes of mediCation errOrs and adVerse drug evEnts for patients with mental illness in community caRe (DISCOVER): a qualitative study.

It is estimated that 237 million medication errors occur in England each year with a significant number occurring in the community. Our understanding of the causes of preventable medication errors and adverse drug events (ADE) affecting patients with mental illness is limited in this setting. Better understanding of the factors that contribute to errors can support the development of theory-driven improvement interventions. Remote qualitative semi-structured interviews with 26 community-based healthcare professionals in England and Wales were undertaken between June-November 2022. Recruitment was undertaken using purposive sampling via professional networks. Interviews were guided by the critical incident technique and analysed using the framework method. Any data that involved speculation was not included in the analysis. Independent analysis was carried out by the research team to extract themes guided by the London Protocol. A total of 43 medication errors and 12 preventable ADEs were discussed, with two ADEs having an unknown error origin. Prescribing errors were discussed most commonly (n = 24), followed by monitoring errors (n = 8). Six contributory factor themes were identified: the individual (staff); the work environment; the teams/interfaces; the organisation and management; the patient; and the task and technology. The individual (staff) factors were involved in just over 80% of all errors discussed. Participants reported a lack of knowledge regarding psychotropic medication and mental illnesses which accompanied diffusion of responsibility. There were difficulties with team communication, particularly across care interfaces, such as ambiguity/brevity of information being communicated and uncertainty concerning roles which created confusion amongst staff. Unique patient social/behavioural contributory factors were identified such as presenting with challenging behaviour and complex lifestyles, which caused difficulties attending appointments as well as affecting overall clinical management. These findings highlight that the causes of errors are multifactorial with some unique to this patient group. Key areas to target for improvement include the education/training of healthcare professionals regarding neuropharmacology/mental illnesses and enhancing communication across care interfaces. Future research should explore patient perspectives regarding this topic to help develop a holistic picture. These findings can be used to guide future intervention research to ameliorate medication safety challenges for this patient group.

Understanding the causes of preventable medication incidents for patients with mental illness in primary care

Abstract Introduction A recent scoping review has highlighted that whilst patients with mental illness are commonly affected by medication errors and preventable adverse drug events in primary care, there were limited data regarding their causes1. By understanding why these preventable events occur, targeted interventions can be developed. Aim To understand the nature and contributory factors that lead to medication errors and preventable adverse drug events amongst patients with mental illness in primary care. Methods This study used a qualitative design. A researcher remotely interviewed 26 healthcare professionals (14 pharmacists, 5 GPs, 5 nurses, 2 psychiatrists) working in primary care between June-November 2022, guided by the critical incident technique. Professionals were recruited via social media, research team networks, and snowballing. Data were analysed using the framework method and any data that involved speculation as to the causes of errors was not included. The data were organised into themes based on the London protocol error framework, which describes the contributory factors leading to care delivery problems2. Themes generated were validated by other members of the research team and a patient advisory group. This study was approved by the University of Manchester Ethics Committee 1 (reference 2022-13735-23555). Results Forty-three medication errors and twelve preventable adverse drug events were discussed during interview. Prescribing errors were discussed most commonly (n=24) and administration errors least commonly (n=4). Six contributory factors were identified which were: the individual (staff) (n=37); the work environment (n=31); the teams/interfaces (n=28); the organisation and management (n=24); the patient (n=23); and the task and technology (n=15). Primary care clinicians reported a lack of knowledge regarding psychotropics and mental illness which accompanied diffusion of responsibility. The responsibilities of staff were also confused by limited clinical information communicated between teams and across care interfaces. Service demand was reported to exceed capacity, creating stress for the staff, as well as limiting the time available for staff to undergo training. Complicated patient lifestyles and behavioural challenges were reported as unique contributory factors. Discussion/Conclusion Lack of knowledge amongst primary care clinicians regarding psychotropics and mental illness was a key issue. This was exacerbated by a mental health service structure placing considerable pressure on primary care leaving clinicians to support patients with needs perceived to be outside their areas of confidence and competence. There is a need to support this workforce by upskilling them to effectively manage patients by addressing the educational needs regarding neuropharmacology and communication skills. These changes may have a positive effect in reducing error rates for this patient group in primary care. Study limitations include recall bias, social desirability bias, as well as the majority errors discussed were made by another clinician within a chain therefore critical details may be missing in the series of events. This is the first study to identify the nature and contributory factors of preventable medication incidents for patients with mental illness in primary care. Future research should focus on exploring this topic from the perspective of patients to better understand the causes of preventable medication incidents.