Medical Patient Safety Research Articles

Clinical pharmacist intervention to improve medication safety for hip fracture patients through secondary and primary care settings: a nonrandomised controlled trial

BackgroundHip fracture patients face a patient safety threat due to medication discrepancies and adverse drug reactions when they have a combination of high age, polypharmacy and several care transitions. Consequently, optimised pharmacotherapy through medication reviews and seamless communication of medication information between care settings is necessary. The primary aim of this study was to investigate the impact on medication management and pharmacotherapy. The secondary aim was to evaluate implementation of the novel Patient Pathway Pharmacist intervention for hip fracture patients.MethodsHip fracture patients were included in this nonrandomised controlled trial, comparing a prospective intervention group (n = 58) with pre-intervention controls who received standard care (n = 50). The Patient Pathway Pharmacist intervention consisted of the steps: (A) medication reconciliation at admission to hospital, (B) medication review during hospitalisation, (C) recommendation for the medication information in the hospital discharge summary, (D) medication reconciliation at admission to rehabilitation, and (E) medication reconciliation and (F) review after hospital discharge. The primary outcome measure was quality score of the medication information in the discharge summary (range 0–14). Secondary outcomes were potentially inappropriate medications (PIMs) at discharge, proportion receiving pharmacotherapy according to guidelines (e.g. prophylactic laxatives and osteoporosis pharmacotherapy), and all-cause readmission and mortality.ResultsThe quality score of the discharge summaries was significantly higher for the intervention patients (12.3 vs. 7.2, p < 0.001). The intervention group had significantly less PIMs at discharge (− 0.44 (95% confidence interval − 0.72, − 0.15), p = 0.003), and a higher proportion received prophylactic laxative (72 vs. 35%, p < 0.001) and osteoporosis pharmacotherapy (96 vs. 16%, p < 0.001). There were no differences in readmission or mortality 30 and 90 days post-discharge. The intervention steps were delivered to all patients (step A, B, E, F = 100% of patients), except step (C) medication information at discharge (86% of patients) and step (D) medication reconciliation at admission to rehabilitation (98% of patients).ConclusionThe intervention steps were successfully implemented for hip fracture patients and contributed to patient safety through a higher quality medication information in the discharge summary, fewer PIMs and optimised pharmacotherapy.Trial registration: NCT03695081.

Understanding the medication safety challenges for patients with mental illness in primary care: a scoping review

BackgroundMental illness and medication safety are key priorities for healthcare systems around the world. Despite most patients with mental illness being treated exclusively in primary care, our understanding of medication safety challenges in this setting is fragmented.MethodSix electronic databases were searched between January 2000-January 2023. Google Scholar and reference lists of relevant/included studies were also screened for studies. Included studies reported data on epidemiology, aetiology, or interventions related to medication safety for patients with mental illness in primary care. Medication safety challenges were defined using the drug-related problems (DRPs) categorisation.ResultsSeventy-nine studies were included with 77 (97.5%) reporting on epidemiology, 25 (31.6%) on aetiology, and 18 (22.8%) evaluated an intervention. Studies most commonly (33/79, 41.8%) originated from the United States of America (USA) with the most investigated DRP being non-adherence (62/79, 78.5%). General practice was the most common study setting (31/79, 39.2%) and patients with depression were a common focus (48/79, 60.8%). Aetiological data was presented as either causal (15/25, 60.0%) or as risk factors (10/25, 40.0%). Prescriber-related risk factors/causes were reported in 8/25 (32.0%) studies and patient-related risk factors/causes in 23/25 (92.0%) studies. Interventions to improve adherence rates (11/18, 61.1%) were the most evaluated. Specialist pharmacists provided the majority of interventions (10/18, 55.6%) with eight of these studies involving a medication review/monitoring service. All 18 interventions reported positive improvements on some medication safety outcomes but 6/18 reported little difference between groups for certain medication safety measures.ConclusionPatients with mental illness are at risk of a variety of DRPs in primary care. However, to date, available research exploring DRPs has focused attention on non-adherence and potential prescribing safety issues in older patients with dementia. Our findings highlight the need for further research on the causes of preventable medication incidents and targeted interventions to improve medication safety for patients with mental illness in primary care.

Cholestatic Pruritus in Children: Conventional Therapies and Beyond.

Pruritus in the setting of cholestatic liver disease is difficult to treat and occurs in patients ranging in age from infancy to adulthood. Likely multifactorial in etiology, this symptom often involves multimodal therapy targeting several pathways and mechanisms proposed in the underlying etiology of cholestatic pruritus. Many patients in both the pediatric and adult populations continue to experience unrelenting pruritus despite maximal conventional therapy. Options are further limited in treating pediatric patients due to sparse data regarding medication safety and efficacy in younger patients. Conventional therapies for the treatment of cholestatic pruritus in children include ursodeoxycholic acid, cholestyramine, hydroxyzine, and rifampin. Certain therapies are more routinely used in the adult populations but with limited data available for use in child and adolescent patients, including opioid antagonists and selective serotonin reuptake inhibitors. Recently, ileal bile acid transport inhibitors have been shown to alleviate pruritus in many children with Alagille syndrome and progressive familial intrahepatic cholestasis and is an additional therapy available for consideration for these patients. Ultimately, surgical options such as biliary diversion or liver transplantation are considered in specific circumstances when medical therapies have been exhausted and pruritus remains debilitating. While further investigation regarding underlying etiologies and effective therapies are needed to better understand itch pathogenesis and treatment in pediatric cholestasis, current considerations beyond conventional management include the use of opioid antagonists, selective serotonin reuptake inhibitors, ileal bile acid transport inhibitors, and surgical intervention.

Implementation of a Patient Questionnaire in Community Pharmacies to Improve Care for Patients Using Combined Antithrombotic Therapy: A Qualitative Study.

For several indications or combinations of indications the use of more than one antithrombotic agent is required. The duration of combined antithrombotic therapy depends on indication and patient characteristics. This study investigated the use of an antithrombotic questionnaire tool that had been developed for pharmacists to detect patients with possible incorrect combined antithrombotic therapy. The objective of this study was to identify potential barriers and facilitators that could influence the implementation of the developed antithrombotic questionnaire tool in daily community pharmacy practice. A qualitative study was conducted at 10 Dutch community pharmacies in which the antithrombotic questionnaire tool had been used with 82 patients. Semi-structured interviews were conducted with pharmacy staff who used the antithrombotic questionnaire tool. The interview questions to identify barriers and facilitators were based on the Consolidated Framework for Implementation Research. The interview data were analysed using a deductive thematic analysis. Ten staff members from nine different pharmacies were interviewed. Facilitators for implementation were that the questionnaire was easily adaptable and easy to use, as well as the relative short duration to administer the questionnaire. A possible barrier for using the questionnaire was a lower priority for using the questionnaire at moments when the workload was high. The pharmacists estimated that the questionnaire could be used for 70-80% of the patient population and they thought that it was a useful addition to regular medication surveillance. The antithrombotic questionnaire tool can be easily implemented in pharmacy practice. To implement the tool, the focus should be on integrating its use into daily activities. Pharmacists can use this tool in addition to regular medication surveillance to improve medication safety in patients who use combined antithrombotic therapy.

Predicting Hepatotoxicity Associated with Low-Dose Methotrexate Using Machine Learning

An accurate prediction of the hepatotoxicity associated with low-dose methotrexate can provide evidence for a reasonable treatment choice. This study aimed to develop a machine learning-based prediction model to predict hepatotoxicity associated with low-dose methotrexate and explore the associated risk factors. Eligible patients with immune system disorders, who received low-dose methotrexate at West China Hospital between 1 January 2018, and 31 December 2019, were enrolled. A retrospective review of the included patients was conducted. Risk factors were selected from multiple patient characteristics, including demographics, admissions, and treatments. Eight algorithms, including eXtreme Gradient Boosting (XGBoost), AdaBoost, CatBoost, Gradient Boosting Decision Tree (GBDT), Light Gradient Boosting Machine (LightGBM), Tree-based Pipeline Optimization Tool (TPOT), Random Forest (RF), and Artificial Neural Network (ANN), were used to establish the prediction model. A total of 782 patients were included, and hepatotoxicity was detected in 35.68% (279/782) of the patients. The Random Forest model with the best predictive capacity was chosen to establish the prediction model (receiver operating characteristic curve 0.97, accuracy 64.33%, precision 50.00%, recall 32.14%, and F1 39.13%). Among the 15 risk factors, the highest score was a body mass index of 0.237, followed by age (0.198), the number of drugs (0.151), and the number of comorbidities (0.144). These factors demonstrated their importance in predicting hepatotoxicity associated with low-dose methotrexate. Using machine learning, this novel study established a predictive model for low-dose methotrexate-related hepatotoxicity. The model can improve medication safety in patients taking methotrexate in clinical practice.

Drug Safety Profiles of Geriatric Patients Referred to Consultation Psychiatry in the Emergency Department-A Retrospective Cohort Study.

Geriatric patients account for a significant proportion of the collective treated by psychiatric consultation service in hospitals. In the Emergency Department (ED), psychotropic drugs are frequently recommended, notwithstanding their extensive side-effect profiles. This study sought to investigate medication safety of geriatric patients referred to psychiatric consultation service in the ED. Medication lists of 60 patients from the general internal medicine and trauma surgery EDs referred to psychiatric consultation service were analyzed. Utilizing PRISCUS list and Fit fOR The Aged (FORTA) classification, prescriptions of potentially inappropriate medications (PIMs) were assessed. 84 drugs were newly prescribed following psychiatric consultations. The total number of drugs per patient was 5.4 ± 4.2 before psychiatric consultation and 6.5 ± 4.2 thereafter (p < .001). 22.6 % of the newly recommended drugs were PIMs according to the PRISCUS list, while 54.8 % were designated as therapeutic alternatives to PIMs. 54.8 % and 20.2 % of the newly recommended drugs were FORTA category C and D drugs, respectively. An average of 1.2 ± 1.7 drug-drug interactions (DDIs) existed before psychiatric consultation and 1.3 ± 1.9 DDIs thereafter (p = .08). The majority of newly recommended drugs by psychiatric consultation service in the ED were designated as suitable therapeutic alternatives to PIMs according to the PRISCUS list, but had comparatively unfavorable ratings according to the FORTA classification, demonstrating discrepancies between these two PIM classification systems. Physicians delivering psychiatric consultation services in the ED should not solely rely on one PIM classification system.

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

Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, few tools have been developed to assess patient medication safety. This study aimed to develop and validate the self-reported patient medication safety scale (SR-PMSS). We developed SR-PMSS guided by the Donabedian Structure-Process-Outcome framework and used psychometric methods to test its validity and reliability. A total of 501 patients with an average age of 56.81 ± 14.47 were enrolled in this study. The SR-PMSS consisted of 21 items and 5 factors. The content validity was good with item-level content validity index (CVI) > 0.78, average scale-level CVI (S-CVI) > 0.9, and universal agreement S-CVI > 0.8. Exploratory factor analysis extracted a five-factor solution with eigenvalues > 0.1, explaining 67.766% of the variance. Confirmatory factor analysis showed good model fit, acceptable convergent validity, and discriminant validity. The Cronbach's α coefficient for SR-PMSS was 0.929, the split-half reliability coefficient was 0.855, and the test-retest reliability coefficient was 0.978. The SR-PMSS was a valid and reliable instrument with good reliability and validity to evaluate the level of patient medication safety. The target users of the SR-PMSS are all people who are taking or have used prescription medications. The SR-PMSS can be used by healthcare providers in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management. SR-PMSS - a self-reported tool to assess patient medication safetyMedication therapy was the most common and frequent treatment method to prevent and cure diseases. Medication safety issues may occur in the process of medication use. Patient medication safety can affect their clinical outcomes and plays an important role in patient safety management. However, there are few tools to assess patient medication safety currently, and most of them focused on medication safety related to hospitals or healthcare workers. We developed the self-reported patient medication safety scale (SR-PMSS) guided by the Donabedian Structure-Process-Outcome framework. Then, we conducted a two-round expert consultation, clarity verification, and item simplification to determine the final version of the scale. The SR-PMSS consisted of 21 items and 5 factors and it had good validity and reliability. The target users of the SR-PMSS are all people who are taking or have used prescription medications. Healthcare providers can use the SR-PMSS in clinical practice and research to identify patients at risk for medication use and intervene with them to reduce adverse medication events and provide support for patient safety management.

Medication safety for intensive care patients transferring to a hospital ward: A Hierarchical Task Analysis

Aims and objectivesTo identify the task steps involved in intensive care patients transferring to a hospital ward and their potential for human errors, and to prioritise areas to improve medication safety. BackgroundIntensive care patients recovering to transfer to a hospital ward experience challenges to care continuity and safety, including medication safety. Medication errors are common on this interface of patient care, contributing to the risk of adverse drug events on the hospital ward and beyond. Human factors are an important consideration in these transfer-related medication errors. MethodsA hierarchical task analysis, based on a goal of safe continuity of medication for intensive care patients on transfer to a hospital ward, was developed from local processes taken from four north of England hospital Trusts with electronic prescribing systems. The task analysis was developed and refined by the research team, incorporating documentary review of policies and procedures, and healthcare professional interviews. Failure modes for the key task steps impacting directly on patient medication safety were identified. Finally, ten intensive care healthcare professionals, individually graded each failure mode (1-5) in terms of the probability, criticality and detectability. Median grades for each parameter were used to determine an overall clinical risk score for each task step. ResultsTen task steps were identified (one conditional), comprising a total of 56 subordinate task steps (two conditional). Conditionality was based on integrated electronic prescribing system resource across the care interface. Thirty-four of the 56 (61%) subordinate task steps were considered by the research team to specifically involve medication continuity or safety aspects. Action omissions (operation, check, information communication) accounted for failure modes in twenty-four of the 34 (71%) task steps. Most task steps (25/34 (74%)) had one or more recovery steps, providing further safety opportunities. The medication review task for reviewing and re-introducing long-term medication had the highest cumulative risk score. The top six clinical risk scores for the failure modes involved task steps with some element of communication around medicines. ConclusionsThe safe continuity of medication for intensive care patients on transfer to a hospital ward is complex and prone to human error. Failure mode analysis indicated that medication review on intensive care prior to patient transfer, and communication around medication changes and plans, are particularly important risks that require addressing in any intervention developed to improve medication safety in this patient care transition.

Effectiveness of Mobile Medical Apps in Ensuring Medication Safety Among Patients With Chronic Diseases: Systematic Review and Meta-analysis.

Along with the rapid growth of the global aging society, the mobile and health digital market has expanded greatly. Countless mobile medical apps (mmApps) have sprung up in the internet market, aiming to help patients with chronic diseases achieve medication safety. Based on the medication safety action plans proposed by the World Health Organization, we aimed to explore the effectiveness of mmApps in ensuring the medication safety of patients with chronic diseases, including whether mmApps can improve the willingness to report adverse drug events (ADEs), improve patients' medication adherence, and reduce medication errors. We hoped to verify our hypothesis through a systematic review and meta-analysis. The meta-analysis was performed in strict accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and included literature searched from 7 databases-PubMed, Web Of Science, Embase, CINAHL, China National Knowledge Infrastructure, Wanfang, and SinoMed. The publication time was limited to the time of database establishment to April 30, 2022. Studies were screened based on inclusion and exclusion criteria. The data extracted included authors, years of publication, countries or regions, participants' characteristics, intervention groups, and control groups, among others. Our quality assessment followed the guidelines of the Cochrane Handbook for Systematic Reviews of Interventions, Version 6.3. RevMan 5.2 software (Cochrane Collaboration) was used to analyze the statistical data, and a sensitivity analysis was performed to assess data stability. The degree of stability was calculated by using a different statistical method and excluding large-sample studies from the analysis. We included 8 studies from 5 countries (China, the United States, France, Canada, and Spain) that were published from January 1, 2014, to December 31, 2021. The total number of participants was 1355, and we analyzed the characteristics of included studies, each app's features, the risk of bias, and quality. The results showed that mmApps could increase ADE reporting willingness (relative risk [RR] 2.59, 95% CI 1.26-5.30; P=.009) and significantly improve medication adherence (RR 1.17, 95% CI 1.04-1.31; P=.007), but they had little effect on reducing medication errors (RR 1.54, 95% CI 0.33-7.29; P=.58). We analyzed the following three merits of mmApps, with regard to facilitating the willingness to report ADEs: mmApps facilitate more communication between patients and physicians, patients attach more importance to ADE reporting, and the processing of results is transparent. The use of mmApps improved medication adherence among patients with chronic diseases by conveying medical solutions, providing educational support, tracking medications, and allowing for remote consultations. Finally, we found 3 potential reasons for why our medication error results differed from those of other studies. PROSPERO International Prospective Register of Systematic Reviews CRD42022322072; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=322072.

A Delphi consensus study to identify priorities for improving and measuring medication safety for intensive care patients on transfer to a hospital ward.

Intensive care patients surviving to transfer to a lower-acuity hospital ward experience ongoing challenges to their recovery and lack a well-defined and developed care pathway. The transfer process to a hospital ward exposes intensive care patients to high rates of medication errors, which increase their risk of adverse drug events. The aims of this study were to identify priorities for medication-related intervention components and outcome measures for improving medication safety for intensive care patients transferring to a hospital ward. Three panels involving 129 participants covering (i) intensive care, (ii) hospital ward health-care professionals and (iii) public representatives completed an electronic Delphi survey conducted over three phases. The Delphi process comprised three sections (medication-related intervention components, medication outcomes and patient outcomes). Items were graded in their level of importance, with predefined important criteria. Item agreement required consensus across all three panels. Intervention barriers and facilitators identified in participant comments were categorized according to a socio-technical systems approach to the patient journey and patient safety (Systems Engineering Initiative for Patient Safety 3.0 model). Of the 129 (84.5%) participants, 109 completed all three Delphi phases. Consensus was achieved for 48 intervention components, 13 medication outcome measures and 11 patient outcome measures. Phase 1 provided 158 comments comprising >200 individual barriers and facilitators to intervention delivery. Frequently cited facilitators included clearly specified roles and responsibilities (10.7% (organizational conditions)), patient and family as agents (8.8% (care team)), medicines-related information easily accessible (7.8% (tools and technologies)) and clear medication plan and communication (7.3% (tasks)). Our findings provide identification of priorities for medication-related intervention components to improve medication safety for intensive care patients transferring to a hospital ward. Prioritization is complemented by the identification and socio-technical categorization of barriers and facilitators to intervention delivery. The identified important medication and patient outcomes to measure will inform the design of a future patient medication safety intervention study.

The Impact of Electronic Health Record Interoperability on Safety and Quality of Care in High-Income Countries: Systematic Review.

BackgroundElectronic health records (EHRs) and poor system interoperability are well-known issues in the use of health information technologies in most high-income countries worldwide. Despite the abundance of literature exploring their relationship, their practical implications on patient safety and quality of care remain unclear.ObjectiveThis study aimed to examine how EHR interoperability affects patient safety, or other dimensions of care quality, in high-income health care settings.MethodsA systematic search was conducted using 4 web-based medical journal repositories and grey literature sources. The publications included were published in English between 2010 and 2022, pertaining to EHR use, interoperability, and patient safety or care quality in high-income settings. Screening was completed by 3 researchers in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Risk of bias assessments were performed using the Risk of Bias in Non-randomized Studies of Interventions and the Cochrane Risk of Bias 2 tools. The findings were presented as a narrative synthesis and mapped based on the Institute of Medicine’s framework for health care quality.ResultsA total of 12 studies met the inclusion criteria to be included in our review. The findings were categorized into 6 common outcome measure categories: patient safety events, medication safety, data accuracy and errors, care effectiveness, productivity, and cost savings. EHR interoperability positively influenced medication safety, reduced patient safety events, and reduced costs. Improvements in time saving and clinical workflow are mixed. However, true measures of effect are difficult to determine with certainty because of the heterogeneity in the outcome measures used and notable variation in study quality.ConclusionsThe benefits of EHR interoperability on the quality and safety of care remain unclear and reflect extensive heterogeneity in the interventions, designs, and outcome measures used. The establishment of common health information technology research outcome measures would support higher-quality research on the topic. Future research efforts should focus on both the positive and negative impacts of interoperable EHR interventions and explore patient perspectives, given the growing trend for patient involvement and stewardship over their own electronic clinical data.Trial RegistrationPROSPERO CRD42020209285; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=209285International Registered Report Identifier (IRRID)RR2-10.1136/bmjopen-2020-044941

Implementing comprehensive pharmacogenomics in a community hospital–associated primary care setting

BackgroundPharmacogenomics (PGx) is an emerging field. Many drug-gene interactions are known but not yet routinely addressed in clinical practice. Therefore, there is a significant gap in care, necessitating development of implementation strategies. ObjectiveThe objective of the study was to assess the impact of implementing a PGx practice model which incorporates comprehensive pharmacogenomic risk evaluation, testing and medication optimization administered by 7 PGx-certified ambulatory care pharmacists embedded across 30 primary care clinic sites. MethodsPharmacogenomic services were implemented in 30 primary care clinics within the Cincinnati, Ohio area. Patients are identified for pharmacogenomic testing using a clinical decision support tool (CDST) that is fully integrated in the electronic medical record (EMR) or by provider designation (e.g., psychotropic drug failure). Pharmacogenomic testing is performed via buccal swab using standardized clinic processes. Discrete data results are returned directly into the EMR/CDST for review by PGx-certified ambulatory care pharmacists. Recommendations and prescriptive changes are then discussed and implemented as a collaborative effort between pharmacist, primary care provider, specialists, and patient. ResultsA total of 422 unique interactions were assessed by the embedded ambulatory care PGx pharmacists (N = 7) during this interim analysis. About half (213) were pharmacogenomic interactions, and of these, 124 were actionable. When an intervention was actionable, 82% of the time a change in medication was recommended. The underlying reasons for recommending therapy alterations were most commonly ineffective therapy (43%), adverse drug reaction prevented (34%), or adverse drug reaction observed (13%). ConclusionVariations in drug metabolism, response, and tolerability can negatively impact patient outcomes across many disease states and treatment specialties. Incorporation of pharmacogenomic testing with accessible clinical decision support into the team-based care model allows for a truly comprehensive review and optimization of medications. Our initial analysis suggests that comprehensive PGx testing should be considered to enhance medication safety and efficacy in at-risk patients.

Mobile application development for improving medication safety in tuberculosis patients: A quasi-experimental study protocol.

The COVID-19 pandemic, the growth of smartphones, and the internet have driven the use of technology for monitoring TB patients. Innovation in management of TB patients is needed to improve treatment outcomes. The study was conducted to obtain a predictive model of medication safety and solution model for at-risk patients, and to improve medication safety through mobile applications. The research was conducted in 4 stages, namely qualitative, quantitative (cross-sectional), qualitative, and quantitative (quasi-experimental, post-test group control design). Data were taken at the Public Health Center in Jakarta, Indonesia. Samples were taken by cluster random sampling. For quantitative research, 2nd phase (n = 114) and 4th phase (n = 96) were analyzed using logistic regression. This study analyzed predictors of medication safety to assist in monitoring patients undergoing treatment. At-risk patients were educated using an algorithm programmed in the application.

Implementation outcomes of the Structured and Codified SIG format in electronic prescription directions.

To determine the extent of implementation, completeness, and accuracy of Structured and Codified SIG (S&amp;C SIG) directions on electronic prescriptions (e-prescriptions). A retrospective analysis of a random sample of 3.8 million e-prescriptions sent from electronic prescribing (e-prescribing) software to outpatient pharmacies in the United States between 2019 and 2021. Natural language processing was used to identify direction components, including action verb, dose, frequency, route, duration, and indication from free-text directions and were compared to the S&amp;C SIG format. Inductive qualitative analysis of S&amp;C direction identified error types and frequencies for each component. Implementation of the S&amp;C SIG format in e-prescribing software resulted in 32.4% of e-prescriptions transmitted with these standardized directions. Directions using the S&amp;C SIG format contained a greater percentage of each direction component compared to free-text directions, except for the indication component. Structured and codified directions contained quality issues in 10.3% of cases. Expanding adoption of more diverse direction terminology for the S&amp;C SIG formats can improve the coverage of directions using the S&amp;C SIG format. Building out e-prescribing software interfaces to include more direction components can improve patient medication use and safety. Quality improvement efforts, such as improving the design of e-prescribing software and auditing for discrepancies, are needed to identify and eliminate implementation-related issues with direction information from the S&amp;C SIG format so that e-prescription directions are always accurately represented. Although directions using the S&amp;C SIG format may result in more complete directions, greater adoption of the format and best practices for preventing its incorrect use are necessary.

Effectiveness and Safety of Antithrombotic Medication in Patients With Atrial Fibrillation and Intracranial Hemorrhage: Systematic Review and Meta-Analysis

For patients with atrial fibrillation who survive an intracranial hemorrhage (ICrH), the decision to offer oral anticoagulation (OAC) is challenging and necessitates balancing risk of thromboembolic events with risk of recurrent ICrH. This systematic review assesses the effectiveness and safety of OAC and/or antiplatelets in patients with atrial fibrillation with nontraumatic ICrH. Bibliographic databases CENTRAL, MEDLINE, EMBASE, and CINAHL were searched. Articles on adults with atrial fibrillation with spontaneous ICrH (intracerebral, subdural, and subarachnoid), receiving antithrombotic therapy for stroke prevention were eligible for inclusion. Twenty articles (50 470 participants) included 2 randomized controlled trials (n=304)' 8 observational studies, 8 cohort studies, and 2 studies that meta-analyzed individual-level data from observational studies. OAC therapy was associated with a significant reduction in thromboembolic events (summary relative risk [sRR], 0.51 [95% CI, 0.30-0.86], heterogeneity I2=2%; P=0.39, n=5 studies) and all-cause mortality (sRR, 0.52 [95% CI, 0.38-0.71], heterogeneity I2=0; P=0.44, n=3 studies). OAC therapy was not associated with an increased risk of recurrent ICrH (sRR, 1.44 [95% CI, 0.38-5.46], heterogeneity I2=70%, P=0.02, n=5 studies). Nonvitamin K antagonist OACs were more effective at reducing the risk of thromboembolic events (sRR, 0.65 [95% CI, 0.44-0.97], heterogeneity I2=72%, P=0.03, n=3 studies) and were associated with a lower risk of recurrent ICrH (sRR, 0.52 [95% CI, 0.40-0.67], heterogeneity I2=0%, P=0.43, n=3 studies) than warfarin. In nontraumatic ICrH survivors with atrial fibrillation, OAC therapy is associated with a reduced risk of thromboembolic events and all-cause mortality without significantly increasing risk of recurrent ICrH. This finding is primarily based on observational data, and further larger randomized controlled trials are needed to corroborate or refute these findings.

Application of intelligent management mode for drugs and consumables in anesthesiology department.

To explore whether anesthesiologists' efficiency can be increased via the use of intelligent equipment, thereby improving the quality of surgical anesthesia. This paper first introduces the intelligent management system and work flow of drugs and consumables in the department of anesthesiology in our hospital, and then compares the time before and after the use of intelligent equipment, the time for anesthesiologists and nurses to manage drugs and consumables, the misdistribution rate of drugs distributed by anesthetic nurses, and the inventory time and accuracy of narcotic drugs. For the intelligent management with intelligent drug cabinets and logistics robots as the terminal, compared with traditional management, the anesthesiologist saves an average of 24±1 (min) per day in acquisition of drugs and consumables, and the total error rate in drugs and consumables distribution by anesthesia nurses is reduced from 4% to 1%, the inventory time of anesthetic drugs is 12±5 (min) earlier than before, and inventory accuracy has been increased from 94.6% to 98.6%. The anesthesia nurses save an average of 53.1±10 (min) per day from taking medicines to operating anesthesia billing than before. The intelligent management of drugs and consumables in the Anesthesiology Department improves management efficiency, ensures medication safety for surgical patients, increases anesthesia management time for anesthesiologists, and improves the quality of surgical anesthesia.

Pharmacogenomics: a tool to improve medication safety and efficacy in patients with cystic fibrosis.

Cystic fibrosis is a genetic, multiorgan system disease that involves the use of many medications to control symptoms associated with the underlying condition. Many of these medications have Clinical Pharmacogenetics Implementation Consortium evidence-based guidelines for pharmacogenomics that are available to guide dosing. The aim of thisarticle is to review relevant literature and evaluate the utility of preemptive pharmacogenomics testing for persons with cystic fibrosis and propose a pharmacogenomics panel that could be considered standard of care for persons with cystic fibrosis.

FC 127: Acute Kidney Injury and Exposure to Nephrotoxic Drugs in Critically Ill Patients: A Report From the Multicenter Rescue Project in the Netherlands

Abstract BACKGROUND AND AIMS Acute kidney injury (AKI) is a common problem in patients admitted to the intensive care unit (ICU). Nephrotoxic drugs play a causal role in 14–28% of the ICU AKI cases and are one of the few preventable AKI causes. The Dutch multicenter project ‘Towards a leaRning mEdication Safety system in a national network of Intensive Care Units—timely detection of adverse drug Events’ (RESCUE) aims to improve medication safety in ICU patients with respect to drug-induced AKI. This requires knowledge on which drugs may cause AKI and the strength of their effects. Obtaining such knowledge is challenging due to confounding. Especially in the ICU, where patients often have multiple comorbidities, AKI risk factors may also be indications or contraindications for drugs. We aimed to estimate the independent associations between nephrotoxic drug groups and AKI in ICU patients by adjusting for drug group-specific confounders. METHOD We used a detailed electronic health record database of ICU patients admitted to 13 different ICUs between 2010 and 2019 in the Netherlands. The database contains admission characteristics, (chronic) comorbidities, physiology measurements, Acute Physiology and Chronic Health Evaluation IV admission diagnoses and predicted mortality probabilities, serum creatinine (SCr), drug administrations, arterial blood pressure and renal replacement therapy (RRT) treatments. We included admissions with at least two SCr values and excluded admissions with one or more missing AKI risk factor values. Using the Kidney Disease: Improving Global Outcomes Clinical Practice Guideline for Acute Kidney Injury, we diagnosed and staged AKI according to the SCr and RRT criteria. We recorded exposure to eight drug groups widely regarded as acutely nephrotoxic [1] until AKI onset, discharge or death. Multilevel logistic regression models were applied to estimate the independent association between each drug group and AKI. The estimates were adjusted for drug group-specific confounders: we registered which AKI risk factors were indications or contraindications for each drug group. RESULTS We included 98 391 ICU admissions, of which 14 074 (14%) were diagnosed with AKI, ranging between 6 and 21% across the ICUs. Of all admissions with AKI, 8962 (64%), 1283 (9%) and 3829 (27%) developed AKI stage 1, stage 2 or stage 3, respectively (Figure 1). The percentage of admissions exposed to nephrotoxic drug groups was 7% for aminoglycosides, 6% for nonsteroidal anti-inflammatory drugs (NSAIDs), 6% for penicillin combinations, 5% for glycopeptide antibiotics, 2% for sulfonamides, 2% for antivirals for herpes infections, 1% for immunosuppressants and 1% for antimycotic antibiotics. All drug groups were associated with a higher odds of AKI except NSAIDs and penicillin combinations (Table 1). While penicillin combinations were not associated with AKI, NSAIDs were associated with a lower odds of AKI. The drug groups with the highest odds of AKI were immunosuppressants [odds ratio (OR) 2.26, 95% confidence interval (95% CI) 1.97–2.60; P &amp;lt; 0.001), sulfonamides (OR 1.84, 95% CI 1.65–2.04; P &amp;lt; 0.001) and aminoglycosides (OR 1.70, 95% CI 1.59–1.81; P &amp;lt; 0.001). The NSAID group was the only group that showed a higher OR after adjustment. CONCLUSION We estimated the independent associations between nephrotoxic drug groups and AKI by adjusting for drug-group specific confounders. Our results provide new estimates of the strengths of the associations. Surprisingly, NSAIDs were associated with a lower odds of AKI. This association might be biased due to residual confounding by contraindication. Future studies may investigate strategies to avoid drug-induced AKI.

Ambulatory Medication Safety in Primary Care: A Systematic Review.

To review the literature on medication safety in primary care in the electronic health record era. Included studies measured rates and outcomes of medication safety in patients whose prescriptions were written in primary care clinics with electronic prescribing. Four investigators independently reviewed titles and analyzed abstracts with dual-reviewer review for eligibility, characteristics, and risk of bias. Of 1464 articles identified, 56 met the inclusion criteria. Forty-three studies were noninterventional and 13 included an intervention. The majority of the studies (30) used their own definition of error. The most common outcomes were potentially inappropriate prescribing/medications (PIPs), adverse drug events (ADEs), and potential prescribing omissions (PPOs). Most of the studies only included high-risk subpopulations (39), usually older adults taking > 4 medications. The rate of PIPs varied widely (0.19% to 98.2%). The rate of ADEs was lower (0.47% to 14.7%). There was poor correlation of PIP and PPO with documented ADEs leading to physical harm. This literature is limited by its inconsistent and highly variable outcomes. The majority of medication safety studies in primary care were in high-risk populations and measured potential harms rather than actual harms. Applying algorithms to primary care medication lists significantly overestimates rate of actual harms.

Effect of continuous nursing intervention on medication safety in elderly patients with chronic diseases

Effect of continuous nursing intervention on medication safety in elderly patients with chronic diseases