Adverse drug events in older hospitalized patients: results and reliability of a comprehensive and structured identification strategy

Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis

OBJECTIVE

This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.

METHODS

Systematic searches were conducted using PubMed, Web of Science, Embase, and IEEE Xplore from database inception until 21 November 2023. Studies that developed ML models for predicting multiple ADEs based on EHR data were included.

RESULTS

Ten studies met the inclusion criteria. Twenty ML methods were reported, most commonly random forest (RF, n = 9), followed by AdaBoost (n = 4), eXtreme Gradient Boosting (n = 3), and support vector machine (n = 3). The mean area under the summary receiver operator characteristics curve (AUC) was 0.76 (95% confidence interval [CI] = 0.26-0.95). RF combined with resampling-based approaches achieved high AUCs (0.9448-0.9457). The common risk factors of ADEs included the length of hospital stay, number of prescribed drugs, and admission type. The pooled estimated AUC was 0.72 (95% CI = 0.68-0.75).

CONCLUSIONS

Future studies should adhere to more rigorous reporting standards and consider new ML methods to facilitate the application of ML models in clinical practice.

Adverse drug reactions and its associated factors among geriatric hospitalized patients at selected comprehensive specialized hospitals of the Amhara Region, Ethiopia: a multicenter prospective cohort study

BACKGROUND

Adverse drug reactions are more prevalent in geriatric patients and are frequently associated with a range of polypharmacy-related issues as well as some physiological aging-related alterations. These affect the pharmacokinetic and pharmacodynamic properties of drugs. This study aimed to assess the magnitude of ADRs and their contributing factors among geriatric patients admitted at Comprehensive Specialized Hospitals of the Amhara Region.

METHODS

A multicenter prospective cohort study was carried out from May 2023 to August 2023 on geriatric patients admitted to four randomly selected comprehensive hospitals in the Amhara region. We used logistic regression to find the factors influencing the occurrence of ADRs. A P value of less than 0.05 was deemed statistically significant.

RESULTS

During the study's follow-up period, 373 patients in total were included. An incidence rate of 31.10% (95% CI: 26.38-35.82) was obtained from the identification of 121 ADRs in total. The organ most frequently affected by ADRs was the gastrointestinal tract (28.92%), followed by the cardiovascular system (19.01%), and the drug class most often implicated in ADRs was antibiotics (21.49%), then anticoagulants (12.40%). ADRs were substantially linked to being overweight (P < 0.001), having been hospitalized in the previous six months (P = 0.000), and hyperpolypharmacy (p = 0.047). 93.39% of all ADRs received the interventions. 85.12% of the adverse drug reactions were successfully resolved.

CONCLUSIONS

This study found that over one-third of older people and individuals admitted to the hospital experienced ADRs. Overweight, hyperpolypharmacy, and patients who had previously been admitted during the preceding six months were significantly linked with the occurrence of ADRs. Improving the drug safety of elderly patients, particularly those who are admitted, should be a greater priority for healthcare professionals.

Adverse Drug Event-Related Hospital Admissions among Australian Aged Care Residents: A Cross-Sectional Study

OBJECTIVES

To investigate the proportion, characteristics, causality, severity, preventability, and independently associated factors for adverse drug event (ADE)-related admissions in aged care residents admitted to the major public hospitals in Tasmania, Australia.

DESIGN

Retrospective cross-sectional study.

SETTING AND PARTICIPANTS

Residential aged care facility (RACF) patients aged ≥65 years who had an unplanned admission to one of the 4 Tasmanian public hospitals between July 1, 2018, and June 30, 2021.

METHODS

We accessed the medical records of RACF patients. The ADEs were initially identified via chart review and a trigger tool. Hospitalizations attributable to ADEs were then determined by expert consensus. The causality, preventability, and severity of each ADE admission were assessed using standard criteria.

RESULTS

Ninety-one residents (18.2%) of 500 randomly selected experienced potential ADE-related hospitalizations. ADEs were considered possible (n = 58, 64%) or definite/probable (n = 33, 36%). The most common ADEs were falls (n = 19, 21%), hypotension (n = 16, 18%), and confusion or delirium (n = 10, 11%). ADEs were frequently associated with renin-angiotensin system inhibitors (n = 43, 47.3%), opioids (n = 43, 47.3%), and diuretics (n = 40, 44%). Most ADEs were of moderate severity (n = 90, 99%) and considered not preventable (n = 60, 66%). Rheumatologic disease [odds ratio (OR) 1.89, 95% CI 1.09-3.30; P = .024] and previous adverse drug reaction (ADR) (OR 12.91, 95% CI 6.84-24.37; P < .001) were associated with ADE hospitalizations.

CONCLUSIONS AND IMPLICATIONS

This study highlights that hospitalization for moderately severe ADEs is common among RACF residents. Opioids and antihypertensives were the common drug classes associated with harm. Rheumatologic disease (due to opioids) and previous ADR were identified as independently associated factors, which may warrant tailored interventions.

Application of trigger tools for detecting adverse drug events in older people: A systematic review and meta-analysis

OBJECTIVE

To identify trigger tools applied to detect adverse drug events (ADEs) in older people and describe their utility and performance.

METHODS

A systematic review was conducted in the PubMed, Lilacs, and Scopus databases (January 2024). Studies that developed, applied, or validated trigger tools and evaluated their utility and/or performance for detecting ADEs in older people were considered. Direct proportion meta-analyses using the inverse-variance method were performed for prevalence of ADEs and positive predictive value (PPV).

RESULTS

Twenty-four studies (25 publications) were included. Twelve trigger tools were identified, of which six were developed for detecting ADEs in older population, four developed for general population and modified for older people, and two developed for general population. No tools for detecting ADEs in older people receiving palliative care or hospitalized in intensive or surgical care units were found. The performance of triggers was presented through PPV (11.5-71%), negative predictive values (83.3%), and sensitivity (30-94.8%). The overall PPV was 33.3% (95%CI: 32.5-34.2%). Triggers with good performance were changes in plasma levels of digoxin, glucose, and potassium; changes in international normalized ratio; abrupt medication stop; hypotension; and constipation. The prevalence of ADEs ranged from 2.8 to 66%, with overall prevalence of ADEs of 20% (95%CI: 19.3-20.8%). Preventability ranged from 8.4 to 94.4%. Metabolic or electrolyte disturbances induced by diuretics, constipation induced by opioids, and falls and delirium induced by benzodiazepines were the most prevalent ADEs.

CONCLUSION

The trigger tools are flexible and easy to apply, and they can contribute to the detection of ADEs, their associated risk factors, the level of harm, and preventability in different health settings. However, there is no consensus on good or poor values of PPV, which indicate the performance of triggers. Furthermore, there is limited evidence regarding the evaluation of performance through negative predictive value, sensitivity, and specificity.

PROSPERO

CRD42022379893.

An innovative method to strengthen evidence for potential drug safety signals using Electronic Health Records

Reports from spontaneous reporting systems (SRS) are hypothesis generating. Additional evidence such as more reports is required to determine whether the generated drug-event associations are in fact safety signals. However, underreporting of adverse drug reactions (ADRs) delays signal detection. Through the use of natural language processing, different sources of real-world data can be used to proactively collect additional evidence for potential safety signals. This study aims to explore the feasibility of using Electronic Health Records (EHRs) to identify additional cases based on initial indications from spontaneous ADR reports, with the goal of strengthening the evidence base for potential safety signals. For two confirmed and two potential signals generated by the SRS of the Netherlands Pharmacovigilance Centre Lareb, targeted searches in the EHR of the Leiden University Medical Centre were performed using a text-mining based tool, CTcue. The search for additional cases was done by constructing and running queries in the structured and free-text fields of the EHRs. We identified at least five additional cases for the confirmed signals and one additional case for each potential safety signal. The majority of the identified cases for the confirmed signals were documented in the EHRs before signal detection by the Dutch Medicines Evaluation Board. The identified cases for the potential signals were reported to Lareb as further evidence for signal detection. Our findings highlight the feasibility of performing targeted searches in the EHR based on an underlying hypothesis to provide further evidence for signal generation.

Unplanned Rehospitalisation due to Medication Harm following an Acute Myocardial Infarction

INTRODUCTION

The contribution of medication harm to rehospitalisation and adverse patient outcomes after an acute myocardial infarction (AMI) needs exploration. Rehospitalisation is costly to both patients and the healthcare facility. Following an AMI, patients are at risk of medication harm as they are often older and have multiple comorbidities and polypharmacy. This study aimed to quantify and evaluate medication harm causing unplanned rehospitalisation after an AMI.

METHODS

This was a retrospective cohort study of patients discharged from a quaternary hospital post-AMI. All rehospitalisations within 18 months were identified using medical record review and coding data. The primary outcome measure was medication harm rehospitalisation. Preventability, causality, and severity assessments of medication harm were conducted.

RESULTS

A total of 1,564 patients experienced an AMI, and 415 (26.5%) were rehospitalised. Eighty-nine patients (5.7% of total population; 6.0% of those discharged) experienced a total of 101 medication harm events. Those with medication harm were older (p = 0.007) and had higher rates of heart failure (p = 0.005), chronic kidney disease (p = 0.046), chronic obstructive pulmonary disease (p = 0.037), and a prior history of ischaemic heart disease (p = 0.005). Gastrointestinal bleeding, acute kidney injury, and hypotension were the most common medication harm events. Forty percent of events were avoidable, and 84% were classed as "serious." Furosemide, antiplatelets, and angiotensin-converting enzyme inhibitors were the most commonly implicated medications. The median time to medication harm rehospitalisation was 79 days (interquartile range: 16-200 days).

CONCLUSION

Medication harm causes unplanned rehospitalisation in 5.7% of all AMI patients (1 in 17 patients; 6.0% of those discharged). The majority of harm was serious and occurred within the first 200 days of discharge. This study highlights that measures to attenuate the risk of medication harm rehospitalisation are essential, including post-discharge medication management.

Differences in prescribing errors between electronic prescribing and traditional prescribing among medical students: A randomized pilot study

AIMS

This randomized controlled pilot study aimed to assess the differences in the frequency, type and severity of prescribing errors made by medical students when assessed in an electronic (e-)prescribing system compared to a traditional prescribing method (e.g., typing out a prescription).

METHODS

Fourth year medical students in the period of 1 November to 31 July 2023, were asked to participate in this single-centre prospective, randomized, controlled intervention study. Participants performed a prescribing assessment in either an e-prescribing system (intervention group) or in a more traditional prescribing platform (control group). The prescriptions were checked for errors, graded and categorized. Differences in prescribing errors, error categories and severity were analysed.

RESULTS

Out of 334 students, 84 participated in the study. Nearly all participants (98.8%) made 1 or more prescribing errors, primarily involving inadequate information errors. In the intervention group, more participants made prescribing errors involving the prescribed amount (71.4 vs. 19.0%; P < .01), but fewer involving administrative errors (2.4 vs. 19.0%; P = .03). Prescribing-method-specific errors were identified in 4.8 and 40.5% of the intervention and control group, respectively, with significant differences in overlapping errors as well.

CONCLUSION

This pilot study shows the importance of training e-prescribing competencies in medical curricula, in addition to traditional prescribing methods. It identifies prescribing-method-specific prescribing errors and emphasizes the need for further research to define e-prescribing competencies. Additionally, the need for an accessible real-life-like e-prescribing environment tailored to educators and students is essential for effective learning and incorporation of e-prescribing into medical curricula.

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.

Adverse drug events caused by three high-risk drug-drug interactions in patients admitted to intensive care units: A multicentre retrospective observational study

AIMS

Knowledge about adverse drug events caused by drug-drug interactions (DDI-ADEs) is limited. We aimed to provide detailed insights about DDI-ADEs related to three frequent, high-risk potential DDIs (pDDIs) in the critical care setting: pDDIs with international normalized ratio increase (INR+ ) potential, pDDIs with acute kidney injury (AKI) potential, and pDDIs with QTc prolongation potential.

METHODS

We extracted routinely collected retrospective data from electronic health records of intensive care units (ICUs) patients (≥18 years), admitted to ten hospitals in the Netherlands between January 2010 and September 2019. We used computerized triggers (e-triggers) to preselect patients with potential DDI-ADEs. Between September 2020 and October 2021, clinical experts conducted a retrospective manual patient chart review on a subset of preselected patients, and assessed causality, severity, preventability, and contribution to ICU length of stay of DDI-ADEs using internationally prevailing standards.

RESULTS

In total 85 422 patients with ≥1 pDDI were included. Of these patients, 32 820 (38.4%) have been exposed to one of the three pDDIs. In the exposed group, 1141 (3.5%) patients were preselected using e-triggers. Of 237 patients (21%) assessed, 155 (65.4%) experienced an actual DDI-ADE; 52.9% had severity level of serious or higher, 75.5% were preventable, and 19.3% contributed to a longer ICU length of stay. The positive predictive value was the highest for DDI-INR+ e-trigger (0.76), followed by DDI-AKI e-trigger (0.57).

CONCLUSION

The highly preventable nature and severity of DDI-ADEs, calls for action to optimize ICU patient safety. Use of e-triggers proved to be a promising preselection strategy.

Hospital admissions attributed to adverse drug reactions in tertiary care in Uganda: burden and contributing factors

Background

Adverse drug reactions (ADRs) contribute to the burden of disease globally and of particular concern are ADR-related hospital admissions.

Objectives

This study sought to determine the burden, characteristics, contributing factors and patient outcomes of ADRs that were the primary diagnosis linked to hospital admission among inpatients in Uganda.

Design

We conducted a cross-sectional secondary analysis of data from a prospective cohort study of adult inpatients aged 18 years and older at Uganda's Mulago National Referral Hospital from November 2013 to April 2014.

Methods

We reviewed clinical charts to identify inpatients with an ADR as one of the admitting diagnoses and, if so, whether or not the hospital admission was primarily attributed to the ADR. Logistic regression was used to determine factors associated with hospital admissions primarily attributed to ADRs.

Results

Among 762 inpatients, 14% had ADRs at hospital admission and 7% were primarily hospitalized due to ADRs. A total of 235 ADRs occurred among all inpatients and 57% of the ADRs were the primary diagnosis linked to hospital admission. The majority of ADRs occurred in people living with HIV and were attributed to antiretroviral drugs. HIV infection [aOR (adjusted odds ratio) = 2.97, 95% confidence interval (CI): 1.30-6.77], use of antiretroviral therapy (aOR = 5.46, 95% CI: 2.56-11.68), self-medication (aOR = 2.27, 95% CI: 1.14-4.55) and higher number of drugs used (aOR = 1.13, 95% CI: 1.01-1.26) were independently associated with hospital admissions attributed to ADRs.

Conclusion

Antiretroviral drugs were often implicated in ADR-related hospital admissions. HIV infection (whether managed by antiretroviral therapy or not), self-medication and high pill burden were associated with hospital admissions attributable to ADRs. The high HIV burden in Sub-Saharan Africa increases the risk of ADR-related hospitalization implying the need for emphasis on early detection, monitoring and appropriate management of ADRs associated with hospital admission in people living with HIV.

Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review

OBJECTIVE

We conducted a systematic review to characterize and critically appraise developed prediction models based on structured electronic health record (EHR) data for adverse drug event (ADE) diagnosis and prognosis in adult hospitalized patients.

MATERIALS AND METHODS

We searched the Embase and Medline databases (from January 1, 1999, to July 4, 2022) for articles utilizing structured EHR data to develop ADE prediction models for adult inpatients. For our systematic evidence synthesis and critical appraisal, we applied the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS).

RESULTS

Twenty-five articles were included. Studies often did not report crucial information such as patient characteristics or the method for handling missing data. In addition, studies frequently applied inappropriate methods, such as univariable screening for predictor selection. Furthermore, the majority of the studies utilized ADE labels that only described an adverse symptom while not assessing causality or utilizing a causal model. None of the models were externally validated.

CONCLUSIONS

Several challenges should be addressed before the models can be widely implemented, including the adherence to reporting standards and the adoption of best practice methods for model development and validation. In addition, we propose a reorientation of the ADE prediction modeling domain to include causality as a fundamental challenge that needs to be addressed in future studies, either through acquiring ADE labels via formal causality assessments or the usage of adverse event labels in combination with causal prediction modeling.

Drug-related causes attributed to acute kidney injury and their documentation in intensive care patients

PURPOSE

To investigate drug-related causes attributed to acute kidney injury (DAKI) and their documentation in patients admitted to the Intensive Care Unit (ICU).

METHODS

This study was conducted in an academic hospital in the Netherlands by reusing electronic health record (EHR) data of adult ICU admissions between November 2015 to January 2020. First, ICU admissions with acute kidney injury (AKI) stage 2 or 3 were identified. Subsequently, three modes of DAKI documentation in EHR were examined: diagnosis codes (structured data), allergy module (semi-structured data), and clinical notes (unstructured data).

RESULTS

n total 8124 ICU admissions were included, with 542 (6.7%) ICU admissions experiencing AKI stage 2 or 3. The ICU physicians deemed 102 of these AKI cases (18.8%) to be drug-related. These DAKI cases were all documented in the clinical notes (100%), one in allergy module (1%) and none via diagnosis codes. The clinical notes required the highest time investment to analyze.

CONCLUSIONS

Drug-related causes comprise a substantial part of AKI in the ICU patients. However, current unstructured DAKI documentation practice via clinical notes hampers our ability to gain better insights about DAKI occurrence. Therefore, both automating DAKI identification from the clinical notes and increasing structured DAKI documentation should be encouraged.

Adverse drug event detection using natural language processing: A scoping review of supervised learning methods

To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results for the purpose of ADE detection in the context of pharmacovigilance. However, a detailed qualitative assessment and critical appraisal of NLP methods for ADE detection in the context of ADE monitoring in hospitals is lacking. Therefore, we have conducted a scoping review to close this knowledge gap, and to provide directions for future research and practice. We included articles where NLP was applied to detect ADEs in clinical narratives within electronic health records of inpatients. Quantitative and qualitative data items relating to NLP methods were extracted and critically appraised. Out of 1,065 articles screened for eligibility, 29 articles met the inclusion criteria. Most frequent tasks included named entity recognition (n = 17; 58.6%) and relation extraction/classification (n = 15; 51.7%). Clinical involvement was reported in nine studies (31%). Multiple NLP modelling approaches seem suitable, with Long Short Term Memory and Conditional Random Field methods most commonly used. Although reported overall performance of the systems was high, it provides an inflated impression given a steep drop in performance when predicting the ADE entity or ADE relation class. When annotating corpora, treating an ADE as a relation between a drug and non-drug entity seems the best practice. Future research should focus on semi-automated methods to reduce the manual annotation effort, and examine implementation of the NLP methods in practice.

Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal

BACKGROUND

One-third of older inpatients experience adverse drug events (ADEs), which increase their mortality, morbidity, and health care use and costs. In particular, antithrombotic drugs are among the most at-risk medications for this population. Reporting systems have been implemented at the national, regional, and provider levels to monitor ADEs and design prevention strategies. Owing to their well-known limitations, automated detection technologies based on electronic medical records (EMRs) are being developed to routinely detect or predict ADEs.

OBJECTIVE

This study aims to develop and validate an automated detection tool for monitoring antithrombotic-related ADEs using EMRs from 4 large Swiss hospitals. We aim to assess cumulative incidences of hemorrhages and thromboses in older inpatients associated with the prescription of antithrombotic drugs, identify triggering factors, and propose improvements for clinical practice.

METHODS

This project is a multicenter, cross-sectional study based on 2015 to 2016 EMR data from 4 large hospitals in Switzerland: Lausanne, Geneva, and Zürich university hospitals, and Baden Cantonal Hospital. We have included inpatients aged ≥65 years who stayed at 1 of the 4 hospitals during 2015 or 2016, received at least one antithrombotic drug during their stay, and signed or were not opposed to a general consent for participation in research. First, clinical experts selected a list of relevant antithrombotic drugs along with their side effects, risks, and confounding factors. Second, administrative, clinical, prescription, and laboratory data available in the form of free text and structured data were extracted from study participants' EMRs. Third, several automated rule-based and machine learning-based algorithms are being developed, allowing for the identification of hemorrhage and thromboembolic events and their triggering factors from the extracted information. Finally, we plan to validate the developed detection tools (one per ADE type) through manual medical record review. Performance metrics for assessing internal validity will comprise the area under the receiver operating characteristic curve, F1-score, sensitivity, specificity, and positive and negative predictive values.

RESULTS

After accounting for the inclusion and exclusion criteria, we will include 34,522 residents aged ≥65 years. The data will be analyzed in 2022, and the research project will run until the end of 2022 to mid-2023.

CONCLUSIONS

This project will allow for the introduction of measures to improve safety in prescribing antithrombotic drugs, which today remain among the drugs most involved in ADEs. The findings will be implemented in clinical practice using indicators of adverse events for risk management and training for health care professionals; the tools and methodologies developed will be disseminated for new research in this field. The increased performance of natural language processing as an important complement to structured data will bring existing tools to another level of efficiency in the detection of ADEs. Currently, such systems are unavailable in Switzerland.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/40456.

Turning evidence into action using a senior friendly hospital framework and a collaborative network

The Senior Friendly Hospital Accelerating Change Together in Ontario program linked the Collaborative Network Model and the Senior Friendly Hospital Framework in a unique multi-hospital knowledge-to-practice initiative to improve care for hospitalized older adults. The design enabled teams from 78 Ontario hospitals to close a shared skills and knowledge gap while meeting the varied needs of their diverse contexts. Results suggest that this design meant to reduce unnecessary redundancy, while preserving requisite diversity, was successful in achieving its specific objectives: to build a collaborative network and increase the confidence, knowledge, and skills of its members sufficient to lead sustainable improvements in their unique hospital settings. Findings with special relevance to process improvement specialists, health system leaders, and hospital administrators and managers are discussed.

Prevalence and predictors of medication-related emergency department visit in older adults: A multicenter study linking national claim database and hospital medical records

Objectives: Older adults are more likely to experience drug-related problems (DRP), which could lead to medication-related emergency department visits (MRED). To properly evaluate MRED, the entire history of drug use should be evaluated in a structured manner. However, limited studies have identified MRED with complete prescription records. We aimed to evaluate the prevalence and risk factors of MRED among community-dwelling older patients by linking national claims data and electronic medical records using a standardized medication related admission identification method. Methods: We included older patients who visited the emergency departments of four participating hospitals in 2019. Among the 54,034 emergency department (ED) visitors, we randomly selected 6,000 patients and structurally reviewed their medical records using a standardized MRED identification method after linking national claims data and electronic medical records. We defined and categorized MRED as ED visits associated with adverse drug events and those caused by the underuse of medication, including treatment omission and noncompliance and assessed as having probable or higher causality. We assessed preventability using Schumock and Thornton criteria. Results: MRED was observed in 14.3% of ED visits, of which 76% were preventable. In addition, 32.5% of MRED cases were related to underuse or noncompliance, and the rest were related to adverse drug events. Use of antipsychotics, benzodiazepines, anticoagulants, traditional nonsteroidal anti-inflammatory drugs without the use of proton pump inhibitors, P2Y12 inhibitors, insulin, diuretics, and multiple strong anticholinergic drugs were identified as predictors of MRED. Conclusion: One in seven cases of ED visits by older adults were medication related and over three-quarters of them were preventable. These findings suggest that DRPs need to be systemically screened and intervened in older adults who visit ED.

The effect of structured medication review followed by face-to-face feedback to prescribers on adverse drug events recognition and prevention in older inpatients - a multicenter interrupted time series study

Background

The effectiveness of interventions to improve medication safety in older inpatients is unclear, given a paucity of properly designed intervention studies applying clinically relevant endpoints such as hospital-acquired preventable Adverse Drug Events (pADEs) and unrecognized Adverse Drug Events (uADEs). Therefore, we conducted a quality improvement study and used hospital-acquired pADEs and uADEs as main outcomes to assess the effect of an intervention aimed to improve medication safety in older inpatients.

Method

The study followed an interrupted time series design and consisted of three equally spaced sampling points during baseline and during intervention measurements. Each sampling point included between 80 to 90 patients. A total of 500 inpatients ≥65 years and admitted to internal medicine wards of three Dutch hospitals were included. An expert team retrospectively identified and assessed ADEs via a structured patient chart review. The findings from baseline measurement and meetings with the internal medicine and hospital pharmacy staff were used to design the intervention. The intervention consisted of a structured medication review by hospital pharmacists, followed by face-to-face feedback to prescribers, on average 3 days per week.

Results

The rate of hospital-acquired pADEs per 100 hospitalizations was reduced by 50.6% (difference 16.8, 95% confidence interval (CI): 9.0 to 24.6, P <  0.001), serious hospital-acquired pADEs by 62.7% (difference 12.8, 95% CI: 6.4 to 19.2, P <  0.001), and uADEs by 51.8% (difference 11.2, 95% CI: 4.4 to 18.0, P <  0.001). Additional analyses confirmed the robustness of the intervention effect, but residual bias cannot be excluded.

Conclusions

The intervention significantly decreased the overall and serious hospital-acquired pADE occurrence in older inpatients, and significantly improved overall ADE recognition by prescribers.

Trial registration

International Standard Randomized Controlled Trial Number Register, trial registration number: ISRCTN64974377, registration date (date assigned): 07/02/2011.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03118-z.

Drug-Related Hospital Admissions via the Department of Emergency Medicine: A Cross-Sectional Study From the Czech Republic

Background: Drug-related hospital admissions (DRAs) represent a significant problem affecting all countries worldwide. This study aimed to determine the prevalence and preventability of DRAs, identify the most common medications involved in DRAs, the most common clinical manifestations of DRAs and describe the preventability aspects of DRAs.

Methods: This cross-sectional study examined unplanned hospital admissions to the University Hospital Hradec Králové via the department of emergency medicine in August–November 2018. Data were obtained from electronic medical records. The methodology of DRA identification was adapted from the OPERAM DRA adjudication guide.

Results: Out of 1252 hospital admissions, 195 DRAs have been identified (145 related to treatment safety, 50 related to treatment effectiveness). The prevalence of DRAs was 15.6% (95% CI 13.6–17.6). The most common medication classes involved in DRAs related to treatment safety were Antithrombotic agents, Antineoplastic agents, Diuretics, Corticosteroids for systemic use, and Beta blocking agents. The most common medication classes involved in DRAs related to treatment effectiveness included Diuretics, Antithrombotic agents, Drugs used in diabetes, Agents acting on the renin-angiotensin system, and Lipid modifying agents. Gastrointestinal disorders were the leading causes of DRAs related to treatment safety, while Cardiac disorders were the leading causes of DRAs related to treatment effectiveness. The potential preventability of DRAs was 51%. The highest share of potential preventability in medication classes repeatedly involved in DRAs related to treatment safety was observed for Anti-inflammatory and antirheumatic products, Psycholeptics, and Drugs used in diabetes. Potentially preventable DRAs related to treatment safety were most commonly associated with inappropriate drug selection, inappropriate monitoring, inappropriate dose selection, and inappropriate lifestyle measures. On the contrary, DRAs related to treatment effectiveness were more commonly associated with medication nonadherence.

Conclusion: It should be emphasized that in most DRAs, medications were only a contributory reason of hospital admissions and that benefits and risks have to be carefully balanced. It is highlighted by the finding that the same medication classes (Antithrombotic agents and Diuretics) were among the most common medication classes involved in DRAs related to treatment safety and simultaneously in DRAs related to treatment effectiveness. The study highlighted that apart from problems related to prescribing, problems related to monitoring and patient-related problems represent significant preventability aspects.

Actual drug-related harms in residential aged care facilities: a narrative review

INTRODUCTION

Older people in residential aged care facilities (RACFs) have a high risk of safety issues and concerns about the potential quality of care received. This narrative review investigates the types of actual drug-related harms, their prevalence, reporting of any standard definitions for these harms, and their identification methods.

AREAS COVERED

The authors conducted a systematic search on Ovid Embase, Ovid Medline, and PubMed from March 2001 to March 2021. This narrative review included all types of studies targeting aged care residents aged 65 years and above with actual drug-related harms.

EXPERT OPINION

The prevalence of actual drug-related harms in residents ranged from 0.07% to 63.0%. Falls, drug-drug interactions, neuropsychiatric symptoms, anaphylaxis, urinary tract infection, hypoglycemia, hypokalaemia, and acute kidney injury are the most common drug-related harms in older residents. Psychotropic drugs are the most common drug class implicated in these harms. Evidence related to the association between individual psychotropic drugs and injury, or harm is also lacking. Due to the variation in study duration, reported prevalence, identification methods, and absence of a definition for actual drug-related harms in most studies, further research is mandated to understand the prevalence and clinical implications of drug-related harms in older residents.

Clinical validation of clinical decision support systems for medication review: A scoping review

The aim of this scoping review is to summarize approaches and outcomes of clinical validation studies of clinical decision support systems (CDSSs) to support (part of) a medication review. A literature search was conducted in Embase and Medline. In total, 30 articles validating a CDSS were ultimately included. Most of the studies focused on detection of adverse drug events, potentially inappropriate medications and drug-related problems. We categorized the included articles in three groups: studies subjectively reviewing the clinical relevance of CDSS's output (21/30 studies) resulting in a positive predictive value (PPV) for clinical relevance of 4-80%; studies determining the relationship between alerts and actual events (10/30 studies) resulting in a PPV for actual events of 5-80%; and studies comparing output of CDSSs to chart/medication reviews in the whole study population (10/30 studies) resulting in a sensitivity of 28-85% and specificity of 42-75%. We found heterogeneity in the methods used and in the outcome measures. The validation studies did not report the use of a published CDSS validation strategy. To improve the effectiveness and uptake of CDSSs supporting a medication review, future research would benefit from a more systematic and comprehensive validation strategy.

Validating a Trigger Tool for Detecting Adverse Drug Events in Elderly Patients With Multimorbidity (TRIGGER-CHRON)

PURPOSE

The aims of the study were to evaluate the performance of an initial list developed to detect adverse drug events (ADEs) in elderly patients with multimorbidity in clinical practice, to explore the possibility of shortening the list, and to use this tool to study the incidence and characteristics of the ADEs among this population.

METHODS

This observational study was conducted at 12 Spanish hospitals. A random sample of five charts from each hospital was selected weekly for retrospective review for a 12-week period. We included patients aged 65 years and older with multimorbidity, hospitalized more than 48 hours. Adverse drug events were detected using a list of 51 triggers previously selected by an expert panel by means of a modified Delphi method. The number of triggers identified and ADEs detected were recorded. The severity and preventability of the ADEs were evaluated. The positive predictive value (PPV) of each trigger was calculated and used to select the most efficient triggers.

RESULTS

In 720 charts reviewed, 1430 positive triggers were identified that led to detect 215 ADEs in 178 patients (24.7%), of which 13% were serious. One hundred nineteen ADEs (55.3%) were preventable and mainly related to inadequate treatment monitoring and prescribing errors. Triggers with a PPV of 5% or less were eliminated, resulting in a final list of 32 triggers (TRIGGER-CHRON) with a PPV of 22.1%, which accounted for 98.9% of all ADEs detected and 98.6% of the preventable ADEs.

CONCLUSIONS

The shorter final validated TRIGGER-CHRON tool is an efficient list for identifying ADEs in elderly patients with multimorbidity, detecting ADEs in one-fourth of hospitalized patients in internal medicine or geriatric units.

Adverse drug events during transitions of care : Randomized clinical trial of medication reconciliation at hospital admission

BACKGROUND

During transitions of care, patient's medications are prone to medication errors. This study evaluated the impact of pharmacist-led medication reconciliation at hospital admission on unintentional medication discrepancies and adverse drug events.

METHODS

A randomized controlled clinical trial was conducted in 120 adult medical patients hospitalized in a tertiary hospital in Slovenia. In the intervention group, a pharmacist-led medication reconciliation was performed on admission, while the control group received usual care. Patient's drug treatment before admission was compared with their admission and inpatient treatment to identify discrepancies. The intention of discrepancies and related adverse drug events were assessed as a consensus of an expert panel.

RESULTS

Included patients were elderly (median 72 years) and treated with polypharmacy (median 7 medications). Upon admission, discrepancies and unintentional discrepancies, representing a medication error, were identified in 61.2% (825/1347) and 18.3% (247/1347) of medications, respectively. In the intervention group, only 29.1% (37/127) of unintentional discrepancies were reported to the physicians in person. The majority of admission discrepancies (88%) persisted through hospitalization. Unintentional discrepancies resulted in 51 adverse drug events even during hospitalization. There were no differences between the intervention and control group in the occurrence of unintentional discrepancies (p = 0.481) or adverse drug events (p = 0.801).

CONCLUSIONS

Medication reconciliation at hospital admission failed to reduce unintentional discrepancies and adverse drug events, possibly due to its poor integration into clinical practice. Discrepancies resulted in patient harm even during the short period of hospitalization, which warrants the implementation of medication reconciliation at hospital admission.

STOPP-START Medication Review: A Non-Randomized Trial in an Indonesian Tertiary Hospital to Improve Medication Appropriateness and to Reduce the Length of Stay of Older Adults

Background: Inappropriate prescribing may lead to medication errors among older adults. Pharmacists can curb the occurrences of these errors by conducting medication reviews. Screening Tool of Older Person's Prescriptions (STOPP) or Screening Tool to Alert doctors to Right Treatments (START) may curb the incidence of adverse drug reactions and improve medication appropriateness by providing guides about when particular types of medications should be started or stopped. Objective: This study aimed to evaluate the use of STOPP/START to improve the Adapted Medication Appropriateness Index (MAI), to reduce the risk of ADRs (GerontoNet score), and length of stay (LOS). Setting: Geriatric Inpatient Ward, Sanglah General Hospital, Bali, Indonesia. Method: A non-randomized controlled trial was conducted in older adults (>60 years) who were selected consecutively from inpatient units in a tertiary hospital in Bali, Indonesia. The intervention group received medication reviews by pharmacists in collaboration with physicians to assess its appropriateness with STOPP/START criteria on admission and during their stay at the hospital. The control group obtained standard care. Main Outcome Measures: The outcomes were measured using the Adapted MAI, GerontoNet Score, and LOS. Results: Thirty patients in the intervention group and 33 patients in the control group were included in this study. The adapted MAI was 2.97 (2.25) and 9.94 (6.14) with P < .001. The GerontoNet score was 3.33 (2.28) and 5.18 (2.10) with P = .003, LOS was 7.63 (3.00) days and 14.18 (9.97) days with P = .011, respectively. Conclusion: The use of STOPP/START as a tool for medication review improved medication appropriateness and reduced ADR risk and LOS.

Prevalence of adverse drug events and adverse drug reactions in hospital among older patients with dementia: A systematic review

AIMS

This systematic review aimed to quantify the prevalence of adverse drug events (ADEs) and adverse drug reactions (ADRs) in older inpatients with dementia.

METHODS

A systematic search of observational studies was performed in Embase, Medline, PsycINFO, International Pharmaceutical Abstracts, Scopus and Informit. Articles published in English that reported the prevalence of ADEs or ADRs in hospital patients aged 65 years or older with dementia were included. Two authors reviewed titles and abstracts and all eligible full-text articles. Relevant information relating to ADEs, ADRs and dementia was obtained from each article.

RESULTS

In total, 5 articles were included. One study reported the prevalence of ADEs to be 81.5%, defined using the Naranjo algorithm. Four studies assessed the prevalence of ADRs, ranging from 12.7 to 24.0%, assessed using various methods. One study defined ADRs according to the World Health Organization-Uppsala Monitoring Centre criteria, 2 studies employed the World Health Organization definition and 1 study did not explicitly define ADRs. The most frequently reported drug classes implicated in ADEs and ADRs were psychotropic, antihypertensive and analgesic drugs.

CONCLUSION

Our findings suggest a high prevalence of ADEs and ADRs in older inpatients with dementia. However, only 1 study documented ADEs and there was variability in approaches to ADR assessment. A greater understanding of ADEs and ADRs, as well as tailored assessment tools, will promote prevention of ADEs and ADRs in people with dementia.

Utility of a trigger tool (TRIGGER-CHRON) to detect adverse events associated with high-alert medications in patients with multimorbidity

OBJECTIVE

To determine the utility of a tool (TRIGGER-CHRON) for identifying adverse drug events (ADEs) associated with the administration of high-alert medications in elderly patients with multimorbidity and to determine the medications most frequently implicated.

METHODS

A retrospective observational study was conducted at 12 Spanish hospitals. A random sample of five medical records from each hospital was selected weekly for review over a 12-week period. We included patients aged 65 and over with multimorbidities, hospitalised for >48 hours. ADEs detected by the 32 TRIGGER-CHRON signals and caused by high-alert medications included on the Spanish HAMC list for chronic patients were selected for analysis. Triggers identified and ADEs detected were recorded. The severity and preventability of the ADEs were evaluated. The positive predictive value (PPV) of each trigger was calculated.

RESULTS

On 720 charts reviewed, 908 positive triggers were identified that led to the detection of 158 ADEs caused by at least one high-alert medication on the HAMC list. These ADEs occurred in 139 patients (prevalence 19.3/100 admissions). The majority of ADEs were mild and 59.5% were deemed preventable. The drugs most frequently associated with ADEs were corticosteroids, loop diuretics, opioid analgesics and oral anticoagulants. Fifteen triggers had PPVs ≥20%. Six triggers (serum glucose >110 mg/dL, abrupt cessation of medication, oversedation/lethargy, hypotension, adverse reaction recorded and constipation) accounted for 69.8% of the ADEs identified.

CONCLUSIONS

Applying the TRIGGER-CHRON to hospitalised patients with multimorbidity in 12 Spanish centres allowed detection of one adverse event caused by a high-alert drug for every four patients, which were preventable in a large proportion of patients. This confirms the need to establish interventions that reduce harm with these medications. We believe that TRIGGER-CHRON can be a useful tool to measure this harm and to determine the effects of medication safety improvement programmes as they are implemented.

Validating the Chinese geriatric trigger tool and analyzing adverse drug event associated risk factors in elderly Chinese patients: A retrospective review

Objective

The aim was to evaluate the performance of the initial Chinese geriatric trigger tool to detect adverse drug events (ADEs) in Chinese older patients, to attempt to shorten this list for improving the efficiency of the trigger tool, and to study the incidence and characteristics of ADEs in this population.

Methods

A sample of 25 cases was randomly selected per half a month from eligible patients who aged 60 years and older, hospitalized more than 24 hours, and discharged or died between January 1, 2015 and December 31, 2017 in West China hospital. A two-stage retrospective chart review of the included inpatients were conducted. ADEs were detected using a list of 42 triggers previously selected by an expert panel by means of a Delphi method. The number of triggers identified and ADEs detected were recorded and the positive predictive value (PPV) of each trigger was calculated to select the most efficient triggers. Several variables were recorded, including age, sex, number of diseases, length of hospital stay and so on, to analyze the risk factor of ADEs.

Results

Among 1800 patients, 1646 positive triggers and 296 ADEs were detected in 234 (13.00%) patients. Older patients who were younger, had more medications, longer stays or more admission, and did not experience surgical operation more likely experienced ADEs. Triggers with PPV less than 5% were eliminated, which resulted in the upgraded version of Chinese geriatric trigger tool of 20 triggers with a PPV of 28.50%. This upgraded tool accounted for 99.66% of all ADEs detected.

Conclusions

The upgraded version of Chinese geriatric trigger tool was an efficient tool for identifying ADEs in Chinese older patients. Future, the trigger tool could be incorporated into routine screen systems to provide real-time identification of ADEs, thereby enabling timely clinical interventions.

Mortality among patients due to adverse drug reactions that occur following hospitalisation: a meta-analysis

PURPOSE

To estimate the prevalence of mortality among patients that develop adverse drug reactions during hospitalisation (ADRIn), to examine heterogeneity through subgroup analysis and to identify system-organ class (SOC) and their causative drugs.

METHODS

Two investigators searched PubMed, Google Scholar and related bibliography for studies reporting ADRIn-related mortality data. The primary outcome was to compute overall prevalence of fatal ADRIn (95% CI) using double arcsine method. We explored the heterogeneity (I2) in its estimation based on study design, study population and data collection methods. The secondary outcomes were the pattern of fatal reactions and their causative drugs. PROSPERO register number-CRD42018090331.

RESULTS

Out of 349 full text assessed, 48 studies satisfying the selection criteria were included. The fatal ADRIn prevalence was 0.11% (95% CI 0.06-0.18%; I2 = 93%). The fatal ADRIn prevalence ranged from 0.03% (I2 = 0%) in all ages to 0.27% (I2 = 90%) in elderly population studies. Elderly studies varied for all study characteristics. Among study wards, a higher trend of prevalence was observed in 'internal medicine and ICU' (0.46%, I2 = 51%) and 'neonatal/paediatric ward and ICU' (0.34%, I2 = 58%) studies. The commonly involved SOC were 'gastrointestinal disorders' (28.79%), 'blood and lymphatic system disorders' (19.69%) and 'renal and urinary disorders' (13.64%). Most commonly observed causative drug-fatal ADRIn pairs were antithrombotics and nonsteroidal anti-inflammatory drugs induced gastrointestinal bleeding, and antineoplastic agents induced cytopenia.

CONCLUSION

ADRIn is an important cause of mortality. Age groups and study wards have important influence on prevalence of fatal ADRIn and its heterogeneity across studies. Few class drugs contribute to sizable proportion of ADRIn-related mortality.

Development of a trigger tool for the detection of adverse drug events in Chinese geriatric inpatients using the Delphi method

Background The global trigger tool is a method of retrospective medical record review that identifies possible harm in hospitalized patients using "triggers". Elderly patients with multiple co-morbid illnesses are especially vulnerable to adverse drug events (ADEs) that have high prevalence rates. Objective The purpose of this study was to develop an appropriate trigger tool to detect ADEs in Chinese geriatric inpatients by combining a literature review with the Delphi method. Setting Chinese geriatric inpatients. Methods Two steps were used to develop the trigger tool. First, we conducted a comprehensive literature review for existing ADE triggers (adult or elderly) to form the initial triggers for the Delphi process. Second, a group of clinical experts, including physicians, clinical pharmacists and nurses, was established to score candidate triggers for utility according to the usefulness and feasibility of implementing triggers in clinical practice. Main outcome measures The frequency of the full mark, arithmetic mean and coefficient of variation of each trigger. Results An initial set of 51 triggers was selected by literature review for evaluation. The group of experts was composed of 18 clinical experts: 13 physicians, 4 clinical pharmacists, and 1 nurse. Based on the two-phase Delphi process, 42 triggers in five categories (laboratory index, plasma concentration, antidotes, clinical symptoms and intervention) were retained. Conclusion The 42-trigger tool was developed to identify ADEs in Chinese geriatric inpatients. A pilot study that tests the list of triggers to identify ADEs in Chinese geriatric inpatients is the next step for establishing a specific trigger tool for Chinese geriatric inpatients.

Towards a "prescribing license" for medical students: development and quality evaluation of an assessment for safe prescribing

PURPOSE

This report describes the development and validation process of an assessment with national consensus in appropriate and safe pharmacotherapy.

METHODS

A question-database on safe prescription based on literature of pharmacotherapy-related harm was developed by an expert group from Dutch medical faculties. Final-year medical students concluded a 2-year education program on appropriate and safe prescription by one of nine assessment variants of 40 multiple-choice questions each. An expert panel of professionals (n = 10) answered all database questions and rated questions on relevance. Questions were selected for revision based on lack of relevance or poor test and item characteristics.

RESULTS

A total of 576 final-year medical students of the Radboud University was assessed. There was no significant difference in performance between students and content expert group (p = 0.7), probably due to learning behavior. Out of 165 questions, 59 were selected for revision.

CONCLUSION

Joint national effort from a team of experts in prescription and pharmacotherapy is an appropriate way to achieve a valid and reliable last-year student drug prescription assessment.

Chronic neurological disorders and related comorbidities: Role of age-associated physiological changes

Current knowledge indicates that the physiological aging process starts with subclinical changes at the molecular and cellular level, which affect nearly all physiological systems. For example, the age-associated remodeling of the immune system (i.e., immunosenescence) and vascular aging per se can contribute to frailty and vulnerability among older adults. They are also described as being implicated in the pathophysiology of some major chronic comorbid conditions such as age-associated diseases of the central (e.g., stroke, Parkinson's disease, Alzheimer's disease, and related disorders) and peripheral (e.g., polyneuropathy) nervous systems. These neurologic disorders are also among the greatest contributors to geriatric syndromes, which refer to highly prevalent and chronic conditions among aged people of multifactorial origin, such as delirium, falls, incontinence, and frailty. Neurologic disorders can also occur in patients with one or more geriatric syndromes and thus further interfere with the quality of life, physical function, morbidity, and mortality. This chapter presents and discusses in three sections the complex interrelationships between the main determinants of aging with a specific focus on vascular aging, chronic neurologic disorders, and the specific clinical presentation of geriatric syndromes in older people.

The effects of substitution of hospital ward care from medical doctors to physician assistants on non-adherence to guidelines on medication prescribing

AIM

This study determined the effect of substitution of inpatient care from medical doctors (MDs) to physician assistants (PAs) on non-adherence to guidelines on medication prescribing.

METHODS

A multicenter matched-controlled study was performed comparing wards on which PAs provide medical care in collaboration with MDs (PA/MD model), with wards on which only MDs provide medical care (MD model). A set of 17 quality indicators to measure non-adherence to guidelines on medication prescribing by PAs and MDs was composed by 14 experts in a modified Delphi procedure. The indicators covered different pharmacotherapeutic subjects, such as gastric protection in case of use of NSAID or prevention of obstipation in case of use of opioids. These indicators were expressed in proportions by dividing the number of patients in which the prescriber did not adhere to a guideline, by all patients that were applicable. Multivariable regression analysis was performed in order to adjust for potential confounders.

RESULTS

1021 patients from 17 hospital wards in the 'PA/MD model' group and 1286 patients from 17 hospital wards in the 'MD model' group were included. Two of the 17 quality indicators showed significantly less non-adherence to guidelines for the PA/MD model; the indicators concerning prescribing gastric protection in case of use of NSAID in combination with corticosteroids (OR 0.42, 95% CI 0.19-0.90) and in case of use of NSAID in patients older than 70 years (OR 0.47, 95% 0.23-0.95). For none of the other quality indicators for prescribing of medication a difference between the MD model and the PA/MD model was found.

CONCLUSION

This study suggests that the non-adherence to guidelines on medication prescribing on wards with the PA/MD model does not differ from wards with traditional house staffing by MDs only. Further research is needed to determine quality, efficiency and safety of prescribing behavior of PAs.

Development of a standardized chart review method to identify drug-related hospital admissions in older people

AIMS

We aimed to develop a standardized chart review method to identify drug-related hospital admissions (DRA) in older people caused by non-preventable adverse drug reactions and preventable medication errors including overuse, underuse and misuse of medications: the DRA adjudication guide.

METHODS

The DRA adjudication guide was developed based on design and test iterations with international and multidisciplinary input in four subsequent steps: literature review; evaluation of content validity using a Delphi consensus technique; a pilot test; and a reliability study.

RESULTS

The DRA adjudication guide provides definitions, examples and step-by-step instructions to measure DRA. A three-step standardized chart review method was elaborated including: (i) data abstraction; (ii) explicit screening with a newly developed trigger tool for DRA in older people; and (iii) consensus adjudication for causality by a pharmacist and a physician using the World Health Organization-Uppsala Monitoring Centre and Hallas criteria. A 15-member international Delphi panel reached consensus agreement on 26 triggers for DRA in older people. The DRA adjudication guide showed good feasibility of use and achieved moderate inter-rater reliability for the evaluation of 16 cases by four European adjudication pairs (71% agreement, κ = 0.41). Disagreements arose mainly for cases with potential underuse.

CONCLUSIONS

The DRA adjudication guide is the first standardized chart review method to identify DRA in older persons. Content validity, feasibility of use and inter-rater reliability were found to be satisfactory. The method can be used as an outcome measure for interventions targeted at improving quality and safety of medication use in older people.

Validity and reliability of a medical record review method identifying transitional patient safety incidents in merged primary and secondary care patients' records

OBJECTIVE

Inadequate information transfer during transitions in healthcare is a major patient safety issue. Aim of this study was to pilot a review of medical records to identify transitional safety incidents (TSIs) for use in a large intervention study and assess its reliability and validity.

DESIGN

A retrospective medical record review study.

SETTINGS AND PARTICIPANTS

Combined primary and secondary care medical records of 301 patients who had visited their general practitioner and the University Medical Center Utrecht, the Netherlands, in 2013 were randomly selected. Six trained reviewers assessed these medical records for presence of TSIs.

OUTCOMES

To assess inter-rater reliability, 10% of medical records were independently reviewed twice. To assess validity, the identified TSIs were compared with a reference standard of three objectively identifiable TSIs.

RESULTS

The reviewers identified TSIs in 52 (17.3%) of all transitional medical records. Variation between reviewers was high (range: 3-28 per 50 medical records). Positive agreement for finding a TSI between reviewers was 0%, negative agreement 80% and the Cohen's kappa -0.15. The reviewers identified 43 (22%) of 194 objectively identifiable TSIs.

CONCLUSION

The reliability of our measurement tool for identifying TSIs in transitional medical record performed by clinicians was low. Although the TSIs that were identified by clinicians were valid, they missed 80% of them. Restructuring the record review procedure is necessary.

Trigger tools are as effective as non-targeted chart review for adverse drug event detection in intensive care units

Objective

This study aimed to compare the use of trigger tools and non-targeted chart review as methods for the detection of adverse drug events in an intensive care unit considering the health system of a developing country.

Methods

Patients were divided in groups that were submitted to different methods (trigger tool and non-targeted chart review) for adverse drug event detection. Medical records were retrospectively reviewed, and adverse drug events detected during the data collection were analyzed by a multidisciplinary team and classified according to their causality, predictability, severity and damage level.

Results

The search for adverse events performed by trigger tools and non-targeted chart review allowed the identification of similar numbers of events (61.09 and 64.04 ADE/1000 patient-days, respectively), types of event and related drugs. In both groups, the most frequently detected adverse events were related to metabolic, gastrointestinal, cardiovascular and hematological systems. These organic systems matched the drugs most associated with adverse event occurrence: anti-infectives, antithrombotics and insulins. Events identified by non-targeted chart review presented higher causality relationships and were considered less severe than those observed by trigger tool use (p < 0.05).

Conclusion

The similar performance between these methods supports trigger tool applicability in the ICU routine, as this methodology requires less time to retrieve information from the medical records.

Development of a 'ready-to-use' tool that includes preventability, for the assessment of adverse drug events in oncology

Background Adverse drug events (ADEs) occur frequently in oncology and justify continuous assessment and monitoring. There are several methods for detecting them, but the trigger tool method seems the most appropriate. Although a generic tool exists, its use for ADEs in oncology has not been convincing. The development of a focused version is therefore necessary. Objective To provide an oncology-focused trigger tool that evaluates the prevalence, harm, and preventability in a standardised method for pragmatic use in ADE surveillance. Setting Hospitals with cancer care in France. Method The tool has been constructed in two steps: (1) constitution of an oncology-centred list of ADEs; 30 pharmacists/practitioners in cancer care from nine hospitals selected a list of ADEs using a method of agreement adapted from the RAND/UCLA Appropriateness Method; and (2) construction of three standardised dimensions for the characterisation of each ADE (including causality, severity, and preventability). Main outcome measure The main outcome measure was validation of the tool, including preventability criteria. Results The tool is composed of a final list of 15 ADEs. For each ADE, a 'reviewer form' has been designed and validated by the panel. It comprises (1) the trigger(s), (2) flowcharts to guide the reviewer, (3) criteria for grading harm, and (4) a standardised assessment of preventability with 6-14 closed sentences for each ADE in terms of therapeutic management and/or prevention of side-effects. Conclusion A complete 'ready-to-use' tool for ADE monitoring in oncology has been developed that allows the assessment of three standardised dimensions.

A multifaceted intervention to reduce guideline non-adherence among prescribing physicians in Dutch hospitals

Background Despite the potential of clinical practice guidelines to improve patient outcomes, adherence to guidelines by prescribers is inconsistent. Objective The aim of the study was to determine whether an approach of introducing an educational programme for prescribers in the hospital combined with audit and feedback by the hospital pharmacist reduces non-adherence of prescribing physicians to key pharmacotherapeutic guidelines. Setting This prospective intervention study with a before–after design evaluated patients at surgical, urological and orthopaedic wards. Method An educational program covering pain management, antithrombotics, fluid and electrolyte management, prescribing in case of renal insufficiency, application of radiographic contrast agents and surgical antibiotic prophylaxis was presented to prescribers on the participating wards. Hospital pharmacists performed medication safety consultations, combining medication review of patients who are at risk for drug related problems with visits to ward physicians. Main outcome measure The outcome measure was the proportion of the admissions of patients in which the physician did not adhere to one or more of the included guidelines. Difference was expressed in odds ratios (OR) with 95% confidence intervals (CI). Multivariable logistic regression analysis was performed. Results 1435 Admissions of 1378 patients during the usual care period and 1195 admissions of 1090 patients during the intervention period were included. Non-adherence was observed significantly less often during the intervention period [21.8% (193/886)] as compared to the usual care period [30.5% (332/1089)]. The adjusted OR was 0.61 (95% CI 0.49–0.76). Conclusion This study shows that education and support of the prescribing physician can reduce guideline non-adherence at surgical wards.

Reduction in targeted potentially inappropriate medication use in elderly inpatients: a pragmatic randomized controlled trial

PURPOSE

The use of potentially inappropriate medications (PIMs) in hospitalized older adults is a complex problem, but the use of computerized alert systems (CAS) has shown some potential. The study's objective is to assess the change in PIM use with a CAS-based pharmacist-physician intervention model compared to usual clinical care.

METHODS

Pragmatic single-site randomized controlled trial was conducted at a university teaching hospital. Hospitalizations identified with selected Beers or STOPP criteria were randomized to usual clinical care or to the CAS-based pharmacist-physician intervention. The primary outcome was PIM drug cessation or dosage decrease. Clinical relevance of the CAS alerts was assessed.

RESULTS

Analyses included 231 patients who had 128 and 126 hospitalizations in the control and intervention groups, respectively. Patients had a mean age of 81, and 60% were female. In the intervention compared to the control group, drug cessation or dosage decrease were more frequent at 48 h post-alert (45.8 vs 15.9%; absolute difference 30.0%; 95%CI 13.8 to 46.1%) and at discharge from the hospital (48.1 vs 27.3%; absolute difference 20.8%; 95%CI 4.6 to 37.0%). In a post hoc analysis of all alerts, regardless of their clinical relevance, the absolute difference in drug cessation or dosage decrease between the intervention and control groups was 16.2% (95%CI 2.9 to 29.6%) at 48 h and 8.0% (95%CI -4.0 to 20.0%) at discharge from the hospital.

CONCLUSIONS

In hospitalized older adults, a CAS-based pharmacist-physician intervention, compared to usual clinical care, resulted in significant higher number of drug cessation and dosage reductions for targeted PIMs.

Geriatric Patient Safety Indicators Based on Linked Administrative Health Data to Assess Anticoagulant-Related Thromboembolic and Hemorrhagic Adverse Events in Older Inpatients: A Study Proposal

Background

Frail older people with multiple interacting conditions, polypharmacy, and complex care needs are particularly exposed to health care-related adverse events. Among these, anticoagulant-related thromboembolic and hemorrhagic events are particularly frequent and serious in older inpatients. The growing use of anticoagulants in this population and their substantial risk of toxicity and inefficacy have therefore become an important patient safety and public health concern worldwide. Anticoagulant-related adverse events and the quality of anticoagulation management should thus be routinely assessed to improve patient safety in vulnerable older inpatients.

Objective

This project aims to develop and validate a set of outcome and process indicators based on linked administrative health data (ie, insurance claims data linked to hospital discharge data) assessing older inpatient safety related to anticoagulation in both Switzerland and France, and enabling comparisons across time and among hospitals, health territories, and countries. Geriatric patient safety indicators (GPSIs) will assess anticoagulant-related adverse events. Geriatric quality indicators (GQIs) will evaluate the management of anticoagulants for the prevention and treatment of arterial or venous thromboembolism in older inpatients.

Methods

GPSIs will measure cumulative incidences of thromboembolic and bleeding adverse events based on hospital discharge data linked to insurance claims data. Using linked administrative health data will improve GPSI risk adjustment on patients’ conditions that are present at admission and will capture in-hospital and postdischarge adverse events. GQIs will estimate the proportion of index hospital stays resulting in recommended anticoagulation at discharge and up to various time frames based on the same electronic health data. The GPSI and GQI development and validation process will comprise 6 stages: (1) selection and specification of candidate indicators, (2) definition of administrative data-based algorithms, (3) empirical measurement of indicators using linked administrative health data, (4) validation of indicators, (5) analyses of geographic and temporal variations for reliable and valid indicators, and (6) data visualization.

Results

Study populations will consist of 166,670 Swiss and 5,902,037 French residents aged 65 years and older admitted to an acute care hospital at least once during the 2012-2014 period and insured for at least 1 year before admission and 1 year after discharge. We will extract Swiss data from the Helsana Group data warehouse and French data from the national health insurance information system (SNIIR-AM). The study has been approved by Swiss and French ethics committees and regulatory organizations for data protection.

Conclusions

Validated GPSIs and GQIs should help support and drive quality and safety improvement in older inpatients, inform health care stakeholders, and enable international comparisons. We discuss several limitations relating to the representativeness of study populations, accuracy of administrative health data, methods used for GPSI criterion validity assessment, and potential confounding bias in comparisons based on GQIs, and we address these limitations to strengthen study feasibility and validity.

The impact of adverse events on health care costs for older adults undergoing nonelective abdominal surgery

BACKGROUND

Postoperative complications have been identified as an important and potentially preventable cause of increased hospital costs. While older adults are at increased risk of experiencing complications and other adverse events, very little research has specifically examined how these events impact inpatient costs. We sought to examine the association between postoperative complications, hospital mortality and loss of independence and direct inpatient health care costs in patients 70 years or older who underwent nonelective abdominal surgery.

METHODS

We prospectively enrolled consecutive patients 70 years or older who underwent nonelective abdominal surgery between July 1, 2011, and Sept. 30, 2012. Detailed patient-level data were collected regarding demographics, diagnosis, treatment and outcomes. Patient-level resource tracking was used to calculate direct hospital costs (2012 $CDN). We examined the association between complications, hospital mortality and loss of independence cost using multiple linear regression.

RESULTS

During the study period 212 patients underwent surgery. Overall, 51.9% of patients experienced a nonfatal complication (32.5% minor and 19.4% major), 6.6% died in hospital and 22.6% experienced a loss of independence. On multivariate analysis nonfatal complications (p < 0.001), hospital mortality (p = 0.021) and loss of independence at discharge (p < 0.001) were independently associated with health care costs. These adverse events respectively accounted for 30%, 4% and 10% of the total costs of hospital care.

CONCLUSION

Adverse events were common after abdominal surgery in older adults and accounted for 44% of overall costs. This represents a substantial opportunity for better patient outcomes and cost savings with quality improvement strategies tailored to the needs of this high-risk surgical population.

A multifaceted intervention to reduce drug-related complications in surgical patients

AIM

The P-REVIEW study was a prospective, multicenter, open intervention study, designed to determine whether a multifaceted intervention of educating the prescriber combined with medication review and pharmaceutical visits to the ward by the hospital pharmacist could lead to a reduction in drug-related complications among surgical patients.

METHODS

A total of 6780 admissions of 5940 patients to surgical, urological and orthopaedic wards during the usual care period and 6484 admissions of 5711 patients during the intervention period were included. An educational programme covering pain management, antithrombotics, fluid and electrolyte management, prescription in case of renal insufficiency and antibiotics was developed. National and local hospital guidelines were included. Hospital pharmacists performed medication safety consultations, combining medication review of high-risk patients and a visit to the physician on the ward.

RESULTS

A significantly lower proportion of admissions with one or more clinically relevant, potentially preventable, drug-related problems (including death, temporary or sustained disability, increased length of hospital stay or readmission within 30 days) occurred in the intervention period (1.1% (73/6484) compared to the usual care period [1.6% (106/6780)] (P = 0.029). The relative risk (RR) was 0.72 (95% CI 0.53-0.97). Several types of drug-related problems occurred less frequently. Costs incurred as result of time spent on study-related activities were not different before and after the intervention.

CONCLUSIONS

The P-REVIEW study shows that education and support of the prescribing physician with respect to high-risk patients in surgical departments leads to a significant, clinically relevant benefit for patients without generating additional costs.

A Pharmacist-Physician Intervention Model Using a Computerized Alert System to Reduce High-Risk Medication Use in Elderly Inpatients

BACKGROUND

Prescription is a complex challenge facing clinicians caring for elderly inpatients. Potentially inappropriate medication (PIM) use frequently leads to adverse drug events and geriatric syndromes. Strategies to reduce PIM use are thus urgently needed.

OBJECTIVES

The objectives of this study were to assess (1) the applicability of a pharmacist-physician intervention model to reduce the use of high-risk medications; and (2) the clinical relevance of the alerts generated by a computerized alert system (CAS).

METHODS

The study was conducted in patients aged 65 years or older admitted to a teaching hospital between April and June 2014. In the intervention model, the pharmacist determined the clinical relevance of the Beers criteria-based CAS alerts, analyzed the patient's pharmacotherapy, and developed a geriatric pharmacotherapeutic plan to be discussed with the treating physician. The main outcome was the change rate, defined as the number of patient-days with a change in at least one medication out of the number of patient-days with a pharmacist intervention.

RESULTS

The CAS identified at least one alert in 200 patient-days, i.e., 4.3% of screened patient-days. In 74.5% of those patient-days, at least one alert was judged to be clinically relevant. The change rate was 77.7%. The most frequent changes were drug discontinuation (42.4%) and dose reduction (29.1%). The inpatient geriatric consultation team was involved in only 24% of the hospitalizations with at least one change in medication.

CONCLUSION

The intervention model reduced high-risk medication use in older inpatients. Most of the vulnerable inpatients identified by CAS alerts would not have otherwise had a geriatric medication review.

Acute and chronic diseases as part of multimorbidity in acutely hospitalized older patients

BACKGROUND

To describe the prevalence of multimorbidity and to study the association between acute and chronic diseases in acutely hospitalized older patients

METHODS

Prospective cohort study conducted between 2006 and 2008 in three teaching hospitals in the Netherlands. 639 patients aged 65 years and older, hospitalized for >48 h were included. Two physicians scored diseases, using ICD-9 codes. Chronic multimorbidity was defined as the presence of ≥2 chronic diseases, and acute multimorbidity as ≥1 acute diseases upon pre-existent chronic diseases. Logistic regression analyses were conducted to analyse cluster associations between a chronic index disease and the concurrent chronic or acute disease, corrected for age and sex.

RESULTS

The mean age of patients was 78 years, over 50% had ADL impairments. Prevalence of chronic multimorbidity was 69%, and acute multimorbidity was present in 88%. Hypertension (OR 1.16; 95% CI 1.08-1.24), diabetes (type I or type 2) (OR 1.12; 95% CI 1.04-1.21), heart failure (OR 1.25; 95% CI 1.14-1.38) and COPD (OR 1.19; 95% CI 1.05-1.34) were associated with acute renal failure. Hypertension (OR 1.10; 95% CI 1.04-1.17) and atrial fibrillation (OR 1.17; 95% CI 1.08-1.27) were associated with an adverse drug event. Gastro-intestinal bleeding was clustered with atrial fibrillation (OR 1.11; 95% CI 1.04-1.19) and gastric ulcer (OR 1.16; 95% CI 1.07-1.25).

CONCLUSION

Both acute and chronic multimorbidity was frequently present in hospitalized older patients. We identified specific associations between acute and chronic diseases. There is a need for strategies addressing multimorbidity during the exacerbation of chronic diseases.

National Incidence of Medication Error in Surgical Patients Before and After Accreditation Council for Graduate Medical Education Duty-Hour Reform

OBJECTIVE

The Accreditation Council for Graduate Medical Education (ACGME) established duty-hour regulations for accredited residency programs on July 1, 2003. It is unclear what changes occurred in the national incidence of medication errors in surgical patients before and after ACGME regulations.

DESIGN

Patient and hospital characteristics for pre- and post-duty-hour reform were evaluated, comparing teaching and nonteaching hospitals. A difference-in-differences study design was used to assess the association between duty-hour reform and medication errors in teaching hospitals.

SETTING

We used the Nationwide Inpatient Sample database, which consists of approximately annual 20% stratified sample of all the United States nonfederal hospital inpatient admissions.

PARTICIPANTS

A query of the database, including 4 years before (2000-2003) and 8 years after (2003-2011) the ACGME duty-hour reform of July 2003, was performed to extract surgical inpatient hospitalizations (N = 13,933,326). The years 2003 and 2004 were discarded in the analysis to allow for a wash-out period during duty-hour reform (though we still provide medication error rates).

RESULTS

The Nationwide Inpatient Sample estimated the total national surgical inpatients (N = 135,092,013) in nonfederal hospitals during these time periods with 68,736,863 patients in teaching hospitals and 66,355,150 in nonteaching hospitals. Shortly after duty-hour reform (2004 and 2006), teaching hospitals had a statistically significant increase in rate of medication error (p = 0.019 and 0.006, respectively) when compared with nonteaching hospitals even after accounting for trends across all hospitals during this period. After 2007, no further statistically significant difference was noted.

CONCLUSIONS

After ACGME duty-hour reform, medication error rates increased in teaching hospitals, which diminished over time. This decrease in errors may be related to changes in training program structure to accommodate duty-hour reform.

Pharmacology for the geriatric surgical patient

Alterations in pharmacokinetics and pharmacodynamics place geriatric patients at an increased risk of experiencing an adverse drug event. The incidence of medication-related adverse events can be decreased with careful selection of agents and appropriate dosage adjustments.