30-Day Potentially Avoidable Readmissions Due to Adverse Drug Events

Developing indicators for medication-related readmissions based on a Delphi consensus study

BACKGROUND

Medication-related readmissions challenge healthcare systems by burdening patients, increasing costs and straining resources. However, to date, there has been no consensus study on indicators for medication-related readmissions.

OBJECTIVES

This Delphi study aimed to develop a consensus-based set of indicators for detecting patients at risk of medication-related readmission.

METHODS

An expert panel of clinical pharmacists, physicians and nursing experts participated in a two-round Delphi study. In round 1, 31 indicators taken from the literature were rated for relevance on a scale from 1 to 9, with a median rating of 7 or higher suggesting relevance. The RAND/UCLA method was used to determine consensus. In round 2, indicators lacking consensus were re-rated together with a series of new indicators generated by the experts. Additional details were sought for some indicators. The main outcomes were the relevance of, consensus on, and completeness of the proposed indicators for identifying risks of 30-day medication-related readmission.

RESULTS

Thirty-eight experts participated in round 1. Consensus was found for all the indicators, with 25 included and 6 excluded. Thirty-four experts participated in round 2. Consensus was found for all 5 newly suggested indicators, and 4 were included. The expert panel prioritized the following indicators: (1) insufficient communication between different healthcare providers, (2) polypharmacy (≥7 medications), (3) low rates of medication adherence (twice-weekly mistakes or missing administration), (4) complex medication regimens (≥3 doses, ≥2 dosage forms and ≥2 administration routes per day), and (5) multimorbidity (≥3 chronic conditions). The final set comprised 29 indicators.

CONCLUSIONS

The indicator set developed for flagging potential medication-related readmissions could guide priorities for clinical pharmacy services at hospital discharge, improving patient outcomes and resource use. A validation study of these indicators is planned.

Drug-Related Problems in Elderly Patients Attended to by Emergency Services

The progressive aging and comorbidities of the population have led to an increase in the number of patients with polypharmacy attended to in the emergency department. Drug-related problems (DRPs) have become a major cause of admission to these units, as well as a high rate of short-term readmissions. Anticoagulants, antibiotics, antidiabetics, and opioids have been shown to be the most common drugs involved in this issue. Inappropriate polypharmacy has been pointed out as one of the major causes of these emergency visits. Different ways of conducting chronic medication reviews at discharge, primary care coordination, and phone contact with patients at discharge have been shown to reduce new hospitalizations and new emergency room visits due to DRPs, and they are key elements for improving the quality of care provided by emergency services.

Risk factors for medication-related short-term readmissions in adults - a scoping review

BACKGROUND

Hospital readmissions due to medication-related problems occur frequently, burdening patients and caregivers emotionally and straining health care systems economically. In times of limited health care resources, interventions to mitigate the risk of medication-related readmissions should be prioritized to patients most likely to benefit. Focusing on general internal medicine patients, this scoping review aims to identify risk factors associated with drug-related 30-day hospital readmissions.

METHODS

We began by searching the Medline, Embase, and CINAHL databases from their inception dates to May 17, 2022 for studies reporting risk factors for 30-day drug-related readmissions. We included all peer-reviewed studies, while excluding literature reviews, conference abstracts, proceeding papers, editorials, and expert opinions. We also conducted backward citation searches of the included articles. Within the final sample, we analyzed the types and frequencies of risk factors mentioned.

RESULTS

After deduplication of the initial search results, 1159 titles and abstracts were screened for full-text adjudication. We read 101 full articles, of which we included 37. Thirteen more were collected via backward citation searches, resulting in a final sample of 50 articles. We identified five risk factor categories: (1) patient characteristics, (2) medication groups, (3) medication therapy problems, (4) adverse drug reactions, and (5) readmission diagnoses. The most commonly mentioned risk factors were polypharmacy, prescribing problems-especially underprescribing and suboptimal drug selection-and adherence issues. Medication groups associated with the highest risk of 30-day readmissions (mostly following adverse drug reactions) were antithrombotic agents, insulin, opioid analgesics, and diuretics. Preventable medication-related readmissions most often reflected prescribing problems and/or adherence issues.

CONCLUSIONS

This study's findings will help care teams prioritize patients for interventions to reduce medication-related hospital readmissions, which should increase patient safety. Further research is needed to analyze surrogate social parameters for the most common drug-related factors and their predictive value regarding medication-related readmissions.

The Effect of the Drug-Related Problems Prevention Bundle on Early Readmissions in Patients From the Emergency Department: A Randomized Clinical Trial

BACKGROUND

Drug-related problems (DRPs) are prevalent and avoidable disease that patients experience due to drug use or nonuse. However, secondary prevention policies have not yet been systematized.

OBJECTIVE

To assess the clinical impact of a secondary prevention bundle for DRPs in patients who visited the emergency department (ED) for medicine-related problems.

METHODS

A single-center randomized clinical trial was conducted from August 28, 2019, to January 28, 2021, with 1-month follow-up. We included 769 adult patients who visited ED with a DRP associated with cardiovascular, alimentary tract, and metabolic system medications. For the intervention group, a DRP prevention bundle, consisting of a combined strategy initiated in the ED was applied. Patients in the control group received standard pharmaceutical care. Intervention was evaluated in terms of 30-day hospital readmission due to any cause.

RESULTS

Final analysis included 769 patients, of which 68 (8.8%) were readmitted within 30 days (control group, 40 of 386 [cumulative incidence: 10.4%]; intervention group, 28 of 383 [cumulative incidence, 7.3%]). After adjustment of the model for chronic heart failure, there was a lower incidence of hospital readmission among patients in the intervention group compared with those in the control group, odds ratio: 0.59 [95% confidence interval: 0.37-0.97]; number needed to treat (NNT) = 32. No significant differences in other outcomes were observed.

CONCLUSION AND RELEVANCE

In this clinical trial, DRP prevention bundle in adjusted analysis decreased the rate of 30-day hospital readmission for any cause in patients who visited ED for a DRP.

TRIAL REGISTRATION

ClinicalTrials.gov (Identifier: NCT03607097).

Effect of the population health inpatient Medicare Advantage pharmacist intervention on hospital readmissions: A quasi-experimental controlled study

BACKGROUND: The population health inpatient Medicare Advantage pharmacist (PHIMAP) intervention is a pharmacist-led, transitions-of-care intervention that aims to reduce hospital readmissions among Medicare Advantage beneficiaries. PHIMAP includes inpatient pharmacist participation in interdisciplinary rounds, admission and discharge medication reconciliation, pharmacy staff delivery of discharge medications to the bedside, personalized discharge medication lists and counseling, and communication with outpatient pharmacists through an electronic health record. OBJECTIVE: To evaluate the effect of the PHIMAP intervention on unplanned 30-day same-hospital readmissions among Medicare Advantage patients. METHODS: Those included were patients admitted to a large urban academic medical center between May 2018 and March 2020 who had a Medicare Advantage plan and were aged at least 18 years. A 2-group, quasi-experimental design was utilized. Control patients received the usual care, which included a best possible medication history and a postdischarge phone call. A multivariable logistic regression model was estimated to predict unplanned 30-day same-hospital readmissions. This study was a Hypothesis Evaluating Treatment Effectiveness study. RESULTS: In total, 884 patients were included. The majority were White (59.0%), non-Hispanic (87.7%), English speaking (90.5%), and older adults (median age, 75 years; interquartile range, 70-83 years). We detected no statistically significant association between the PHIMAP intervention and unplanned 30-day same-hospital readmissions (odds ratio [OR] = 0.91, 95% CI = 0.56-1.52). After adjusting for patient demographics and clinical covariates, significant predictors of 30-day readmissions included the number of emergency department/inpatient visits within 180 days prior to index admission (OR = 1.40, 95% CI = 1.11-1.77); discharge to a post-acute care facility, such as an inpatient rehabilitation facility, long-term acute care facility, or skilled nursing facility (OR = 1.69, 95% CI = 1.06-2.66); hospital length of stay in days (OR = 1.04, 95% CI=1.01-1.07); and the Agency for Healthcare Research and Quality Elixhauser Comorbidity Index score (OR = 1.01, 95% CI = 1.01-1.02). CONCLUSIONS: Significant predictors of readmissions among Medicare Advantage beneficiaries were consistent with greater illness severity, including a recent history of prior hospital utilization, a discharge to post-acute care facility (vs home), a longer length of hospital stay, and a higher comorbidity burden. Although we detected no statistically significant association between PHIMAP and unplanned 30-day same-hospital readmissions, differences in study group assignment based on the day of hospital discharge (weekend vs weekday) was a noted limitation of this study. Future studies of inpatient pharmacist-led interventions should plan to minimize the risk of selection bias due to differences in the time of patient discharge. DISCLOSURES: This study was supported in part by the National Institute on Aging under award number R01AG058911 (to Pevnick) and the UCLA Clinical Translational Science Institute (UL1 TR001881). The sponsor had no role in the design and conduct of the study, nor the writing of this report.

Association between Metabolic Obesity Phenotypes and the Burden of Hospitalized Postmenopausal Patients Concomitant with Osteoporosis: A Retrospective Cohort Study Based on the National Readmission Database

BACKGROUND

The present definition of obesity based on body mass index (BMI) is not accurate and effective enough to identify hospitalized patients with a heavier burden, especially for postmenopausal hospitalized patients concomitant with osteoporosis. The link between common concomitant disorders of major chronic diseases such as osteoporosis, obesity, and metabolic syndrome (MS) remains unclear. Here, we aim to evaluate the impact of different metabolic obesity phenotypes on the burden of postmenopausal hospitalized patients concomitant with osteoporosis in view of unplanned readmissions.

METHODS

Data was acquired from the National Readmission Database 2018. The study population was classified into metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO) patients. We estimated the associations between metabolic obesity phenotypes and 30- and 90-day unplanned readmissions. A multivariate Cox Proportional Hazards (PH) model was used to assess the effect of factors on endpoints, with results expressed as HR and 95% CI.

RESULTS

The 30-day and 90-day readmission rates for the MUNO and MUO phenotypes were higher than that of the MHNO group (all p < 0.05), whereas no significant difference was found between the MHNO and MHO groups. For 30-day readmissions, MUNO raised the risk mildly (hazard ratio [HR] = 1.110, p < 0.001), MHO had a higher risk (HR = 1.145, p = 0.002), and MUO further elevated this risk (HR = 1.238, p < 0.001). As for 90-day readmissions, both MUNO and MHO raised the risk slightly (HR = 1.134, p < 0.001; HR = 1.093, p = 0.014, respectively), and MUO had the highest risk (HR = 1.263, p < 0.001).

CONCLUSIONS

Metabolic abnormalities were associated with elevated rates and risks of 30- or 90-day readmission among postmenopausal hospitalized women complicated with osteoporosis, whereas obesity did not seem to be innocent, and the combination of these factors led to an additional burden on healthcare systems and individuals. These findings indicate that clinicians and researchers should focus not only on weight management but also metabolism intervention among patients with postmenopausal osteoporosis.

Identifying adverse drug reactions from patient reviews on social media using natural language processing

Drugs have the potential of causing adverse reactions or side effects and prior knowledge of these reactions can help prevent hospitalizations and premature deaths. Public databases of common adverse drug reactions (ADRs) depend on individual reports from drug manufacturers and health professionals. However, this passive approach to ADR surveillance has been shown to suffer from severe under-reporting. Social media, such as online health forums where patients across the globe willingly share their drug intake experience, is a viable and rich source for detecting unreported ADRs. In this paper, we design an ADR Detection Framework (ADF) using Natural Language Processing techniques to identify ADRs in drug reviews mined from social media. We demonstrate the applicability of ADF in the domain of Diabetes by identifying ADRs associated with diabetes drugs using data extracted from three online patient-based health forums: askapatient.com, webmd.com, and iodine.com. Next, we analyze and visualize the ADRs identified and present valuable insights including prevalent and less prevalent ADRs, age and gender differences in ADRs detected, as well as the previously unknown ADRs detected by our framework. Our work could promote active (real-time) ADR surveillance and also advance pharmacovigilance research.

Associations between post-discharge medical consultations and 30-day unplanned hospital readmission: A prospective observational cohort study

BACKGROUND

The period following hospital discharge is one of significant vulnerability. Little is known about the relationship between post-discharge healthcare use and the risk of readmission.

OBJECTIVES

To explore associations between medical consultations and other healthcare use parameters and the risk of 30-day unplanned hospital readmission.

METHODS

Between July 2017 and March 2018, we monitored all adult internal medicine patients for 30 days after their discharge from four mid-sized hospitals. Using follow-up telephone calls, we assessed their post-discharge healthcare use: consultations with general practitioners (GPs) and specialist physicians, emergency room (ER) visits, and home visits by nurses. The binary outcome was defined as any unplanned hospital readmission within 30 days of discharge, and this was analyzed using logistic regression.

RESULTS

Of 934 patients discharged, 111 (12%) experienced at least one unplanned hospital readmission within 30 days. Attending at least one GP consultation decreased the odds of readmission by half (adjusted OR: 0.5; 95%CI: 0.3-0.7), whereas attending at least one specialist consultation doubled those odds (aOR: 2.0; 95%CI: 1.2-3.3). GP consultations also reduced the odds of the combined risk of an ER visit or unplanned hospital readmission (aOR: 0.5; 95%CI: 0.3-0.7). ER visits were also associated with a higher readmission risk after adjusting for confounding factors (aOR: 10.0; 95%CI: 6.0-16.8).

CONCLUSION

GP consultations were associated with fewer ER visits and unplanned hospital readmissions.

Integration of Medication Safety Training and Development of a Culture of Safety in Pharmacy Education

Medication safety events with the potential for patient harm do occur in health care settings. Pharmacists are regularly tasked with utilizing their medication knowledge to optimize the medication use process and reduce the likelihood of error. To prepare for these responsibilities in professional practice, it is important to introduce patient safety principles during educational experiences. The Accreditation Council for Pharmacy Education (ACPE) and the American Society of Health-System Pharmacists (ASHP) have set forth accreditation standards focused on the management of medication use processes to ensure these competencies during pharmacy didactic learning and postgraduate training. The experience described here provides perspective on educational and experiential opportunities across the continuum of pharmacy education, with a focus on a relationship between a college of pharmacy and healthcare system. Various activities, including discussions, medication event reviews, audits, and continuous quality improvement efforts, have provided the experiences to achieve standards for these pharmacy learners. These activities support a culture of safety from early training.

Access to Telepharmacy Services May Reduce Hospital Admissions in Outpatient Populations During the COVID-19 Pandemic

Introduction:

Avoidable hospital admissions put increased pressure on already strained health care resources, causing emotional and financial distress for patients and their families while taxing the health system. Pharmacist involvement in patient care has been shown to improve health care outcomes. Telepharmacy allows for personalized interaction and access to pharmacy services in a flexible format. The primary aim of this report is to explore the impact that access to a personalized telepharmacy service has on the hospital admission rate in an outpatient population before and during the COVID-19 pandemic.

Materials and Methods:

A retrospective, double-arm cohort study was performed. Hospital admission rates were analyzed in two similarly aged groups; one group (n = 2,242) had access to telepharmacy services through their primary care provider and another group did not (n = 1,540), from 2019 to 2020. Statistical analysis was performed to explore hospitalization rates in both groups.

Results:

An increase in hospitalization rates was observed in both groups of patients from 2019 to 2020. The patient group that had access to the telepharmacy service demonstrated a reduced rise in hospitalization rates versus the group without access to the telepharmacy service (access group +12.9% vs. nonaccess group +40.2%, p < 0.05, Student's t-test).

Discussion:

The patient group with access to telepharmacy services demonstrated a reduced increase in hospitalizations versus the group without access in 2020. While this represents a preliminary investigation into the potential impacts of telepharmacy on hospitalization rates, telepharmacy services may have a role in improving patient outcomes and cost savings.

Assessing the impact of adding pharmacist management services to an existing discharge planning program on 30-day readmissions

BACKGROUND

Although hospital readmission rates are declining nationally, avoidable readmissions remain a public health concern. Effective readmission interventions are multifaceted and include discharge planning and transition-of-care coordination. Clinical pharmacists are effective contributors to these processes, bringing expertise to discharge counseling, medication reconciliation, medication adherence, and postdischarge follow-up counseling.

OBJECTIVE

We evaluated the impact of adding health plan clinical pharmacy management services to an existing discharge program on all-cause readmissions and postdischarge primary physician visits.

METHOD

Pharmacy management services by health plan clinical pharmacists of a large regional integrated delivery system were added to an existing optimal discharge planning (ODP) program. Criteria for eligibility for these pharmacists' services included patients who prescribed a new maintenance medication after discharge, received a therapeutic substitution, had a previous discharge within 30 days, or were taking a high-risk medication. A retrospective, observational analysis of a subgroup of patients, who received the pharmacy management services as part of ODP, was performed using a difference-in-difference model, by comparing propensity-matched discharges from February 22, 2016, to January 31, 2017 (preprogram implementation) with discharges from February 22, 2017, to January 31, 2018 (implementation period), to estimate changes in 30-day readmission rates and postdischarge primary physician visits.

RESULTS

A total of 111 of the propensity matched received the pharmacy management services; of these, 73% (ODP) versus 64% (non-ODP) were ≥ 58 years, 60% were females, and 62% (ODP) versus 52% (non-ODP) were Medicare beneficiaries. There was a 16.7% (P = 0.022) statistically significant reduction in combined inpatient and observation 30-day readmissions and a 19.7% increase in 5-day postdischarge follow-up physician visits (P = 0.037) for the subgroup who also received the pharmacy management services.

CONCLUSION

Addition of pharmacist management services to an existing hospital discharge program for select at-risk patients was associated with reduced inpatient and observation 30-day readmissions.

External validation of the PAR-Risk Score to assess potentially avoidable hospital readmission risk in internal medicine patients

BACKGROUND

Readmission prediction models have been developed and validated for targeted in-hospital preventive interventions. We aimed to externally validate the Potentially Avoidable Readmission-Risk Score (PAR-Risk Score), a 12-items prediction model for internal medicine patients with a convenient scoring system, for our local patient cohort.

METHODS

A cohort study using electronic health record data from the internal medicine ward of a Swiss tertiary teaching hospital was conducted. The individual PAR-Risk Score values were calculated for each patient. Univariable logistic regression was used to predict potentially avoidable readmissions (PARs), as identified by the SQLape algorithm. For additional analyses, patients were stratified into low, medium, and high risk according to tertiles based on the PAR-Risk Score. Statistical associations between predictor variables and PAR as outcome were assessed using both univariable and multivariable logistic regression.

RESULTS

The final dataset consisted of 5,985 patients. Of these, 340 patients (5.7%) experienced a PAR. The overall PAR-Risk Score showed rather poor discriminatory power (C statistic 0.605, 95%-CI 0.575-0.635). When using stratified groups (low, medium, high), patients in the high-risk group were at statistically significant higher odds (OR 2.63, 95%-CI 1.33-5.18) of being readmitted within 30 days compared to low risk patients. Multivariable logistic regression identified previous admission within six months, anaemia, heart failure, and opioids to be significantly associated with PAR in this patient cohort.

CONCLUSION

This external validation showed a limited overall performance of the PAR-Risk Score, although higher scores were associated with an increased risk for PAR and patients in the high-risk group were at significantly higher odds of being readmitted within 30 days. This study highlights the importance of externally validating prediction models.

The Impact of Pharmaceutical Care in Multidisciplinary Teams on Health Outcomes: Systematic Review and Meta-Analysis

OBJECTIVES

Pharmacists' care has an essential role in multidisciplinary teams in charge of chronic patients. However, data available on the clinical outcomes of these activities appear inconclusive. This study aimed to systematically investigate the effect of multidisciplinary teams that include coordinated pharmaceutical care on clinical outcomes.

DESIGN

Systematic review and meta-analysis. Relevant studies identified from MEDLINE, Cochrane, Web of Science, Scopus and CINAHL databases were analyzed. The search included randomized clinical trials published in 2000-2018. Included studies were all published studies in English that compared the effectiveness of multidisciplinary teams including pharmacist care to usual care. Meta-analysis was carried out using a random effects model, and subgroup analysis was conducted to determine the sources of heterogeneity.

SETTING AND PARTICIPANTS

29 studies involving 4186 adult patients were included.

MEASURES

Follow-up time varied from 30 to 180 days. The most common primary endpoint was the frequency of hospitalizations or readmissions, followed by variation in clinical parameter variables related to quality of prescription, treatment adherence and costs.

RESULTS

Twelve (41.3%) of the included studies scored low risk of bias according to the AMSTAR-2 scale, the remaining 17 (58.7%) being classified as intermediate risk. The intervention of a multidisciplinary team reduced the probability of readmission by 32% [odds ratio (OR) 0.74, 95% confidence interval (CI) 0.62-0.89]. Six of the 29 (20.7%) studies included met the inclusion criteria of the meta-analysis on quality-of-life outcomes. The intervention of the multidisciplinary team represented a significant increase in patients' quality of life (OR 0.58, 95% CI 0.47-0.69). Analysis of heterogeneity showed a significant difference between the studies. No evidence of publication bias was identified.

CONCLUSIONS AND IMPLICATIONS

Multidisciplinary programs that include pharmaceutical care reduce the risk of visiting hospitals and improve patients' quality of life. This review supports the importance of the pharmacists as part of multidisciplinary teams.

Disease-dependent variations in the timing and causes of readmissions in Germany: A claims data analysis for six different conditions

BACKGROUND

Hospital readmissions place a major burden on patients and health care systems worldwide, but little is known about patterns and timing of readmissions in Germany.

METHODS

We used German health insurance claims (AOK, 2011-2016) of patients ≥ 65 years hospitalized for acute myocardial infarction (AMI), heart failure (HF), a composite of stroke, transient ischemic attack, or atrial fibrillation (S/AF), chronic obstructive pulmonary disease (COPD), type 2 diabetes mellitus, or osteoporosis to identify hospital readmissions within 30 or 90 days. Readmissions were classified into all-cause, specific, and non-specific and their characteristics were analyzed.

RESULTS

Within 30 and 90 days, about 14-22% and 27-41% index admissions were readmitted for any reason, respectively. HF and S/AF contributed most index cases, and HF and COPD accounted for most all-cause readmissions. Distributions and ratios of specific to non-specific readmissions were disease-specific with highest specific readmissions rates among COPD and AMI.

CONCLUSION

German claims are well-suited to investigate readmission causes if longer periods than 30 days are evaluated. Conditions closely related with the primary disease are the most frequent readmission causes, but multiple comorbidities among readmitted cases suggest that a multidisciplinary care approach should be implemented vigorously addressing comorbidities already during the index hospitalization.

Preventable adverse drug events causing hospitalisation: identifying root causes and developing a surveillance and learning system at an urban community hospital, a cross-sectional observational study

OBJECTIVES

To identify root causes of preventable adverse drug events (pADEs) contributing to hospital admission; to develop key messages which identify actions patients/families and healthcare providers can take to prevent common pADEs found; to develop a surveillance learning system for the community.

METHODS

Cross-sectional observational study; 120 patients and families, 61 associated healthcare providers were interviewed then root cause analysis was performed to develop key learning messages and an electronic reporting tool was designed. Most common pADE-related medical conditions and their root causes and most common pADE root causes of entire cohort are reported.

RESULTS

Most common pADE-related medical conditions: chronic obstructive pulmonary disease/asthma (13.3%), bleeding (12.5%), hypotension (12%), heart failure (10%), acute kidney injury (5%) and pneumonia (5%). Most common root causes were: providers not confirming that the patient/family understands information given (29.2%), can identify how a medication helps them/have their concerns addressed (16.7%), can identify if a medication is working (14.1%) or causing a side effect (23.3%); can enact medication changes (7.5%); absence of a sick day management plan (12.5%), and other action plans to help patients respond to changes in their clinical status (10.8%); providers not assessing medication use and monitoring competency (19.2%). Ten key learning messages were developed and a pADE surveillance learning system was implemented.

CONCLUSIONS

To prevent pADEs, providers need to confirm that patients/families understand information given, how a medication helps them, how to recognise and respond to side effects, how to enact medication changes and follow action plans; providers should assess patient's/families' medication use and monitoring competency.

Adverse Drug Events and Contributing Factors Among Hospitalized Adult Patients at Jimma Medical Center, Southwest Ethiopia: A Prospective Observational Study

Background

Adverse drug events (ADEs) are common complications of clinical care resulting in significant morbidity, mortality, and high clinical expenditure. Population-level estimates of inpatient ADEs are limited in Ethiopia.

Objective

This study aimed to assess the incidence, contributing factors, severity, and preventability of ADEs among hospitalized adult patients at Jimma Medical Center, Ethiopia.

Methods

A prospective observational study design was conducted among hospitalized adult patients at tertiary hospital in Ethiopia. A structured data collection tool was prepared from relevant literatures for data collection. Data were analyzed using statistical software. Logistic regression was performed to identify factors contributing to ADE occurrence. P values < 0.05 were considered statistically significant.

Results

A total of 319 patients were included with follow-up period of 5667 person-days. About 50.5% were women. The mean (SD) age of patients was 43 (17.6) years. One hundred sixteen ADEs were identified with the incidence of 36.4 (95% CI, 30.1-43.6) per 100 admissions and 20.5 (95% CI, 16.9-24.6) per 1000 person-days. Antituberculosis agents (adjusted odds ratio [aOR] = 2.52; 95% CI, 1.06-5.98; P = 0.036), disease of the circulatory system (aOR = 2.67; 95% CI, 1.46-4.89; P = 0.001), disease of the digestive system (aOR = 2.84; 95% CI, 1.45-5.57; P = 0.002), being on medication during admission (aOR = 3.09; 95% CI, 1.77-5.41; P < 0.001), and hospital stay more than 2 weeks (aOR = 3.93; 95% CI, 1.39-11.12; P = 0.010) were independent predictors of ADE occurrence.

Conclusions

One in every 4 patients admitted to the hospital experienced ADEs during their hospital stay. Most ADEs were moderate in severity. About two-thirds of the ADEs identified were deemed probably or definitely preventable. Therefore, it is high time to reinforce large-scale efforts to redesign safer, higher quality health care systems to adequately tackle the problem.

A multicenter quality improvement initiative on the impact of pharmacists' postdischarge follow-up to reduce medication-related acute care episodes

PURPOSE

This multicenter quality improvement initiative aims to measure and quantify pharmacists' impact on reducing medication-related acute care episodes (MACEs) for high-risk patients at an increased risk for readmission due to drug-related problems (DRPs).

METHODS

This was a prospective, multicenter quality improvement initiative conducted at 9 academic medical centers. Each participant implemented a standardized methodology for evaluating MACE likelihood to demonstrate the impact of pharmacist postdischarge follow-up (PDFU). The primary outcome was MACEs prevented, and the secondary outcome was DRPs identified and resolved by pharmacists. During PDFU, pharmacists were responsible for identification and resolution of DRPs, and cases were reviewed by physicians to confirm whether potential MACEs were prevented.

RESULTS

A total of 840 patients were contacted by 9 participating academic medical centers during a 6-week data collection period. Of these, 328 cases were identified as MACEs prevented during PDFU by pharmacists, and physician reviewers confirmed that pharmacist identification of DRPs during PDFU prevented 27.9% of readmissions. Pharmacist identified 959 DRPs, 2.8% (27) of which were identified as potentially life threatening. Potentially serious or significant DRPs made up 56.6% (543) of the DRPs, and 40.6% (389) were identified as having a low capacity for harm.

CONCLUSION

The results demonstrate that PDFU of high-risk patients reduces DRPs and prevents MACEs based on physician confirmation. Implementation of MACE methodology provides health-system pharmacy departments the ability to demonstrate pharmacists' value in transitions of care and assist in expanding pharmacist services.

Medication-related hospital admissions and readmissions in older patients: an overview of literature

Background The number of medication related hospital admissions and readmissions are increasing over the years due to the ageing population. Medication related hospital admissions and readmissions lead to decreased quality of life and high healthcare costs. Aim of the review To assess what is currently known about medication related hospital admissions, medication related hospital readmissions, their risk factors, and possible interventions which reduce medication related hospital readmissions. Method We searched PubMed for articles about the topic medication related hospital admissions and readmissions. Overall 54 studies were selected for the overview of literature. Results Between the different selected studies there was much heterogeneity in definitions for medication related admission and readmissions, in study population and the way studies were performed. Multiple risk factors are found in the studies for example: polypharmacy, comorbidities, therapy non adherence, cognitive impairment, depending living situation, high risk medications and higher age. Different interventions are studied to reduce the number of medication related readmission, some of these interventions may reduce the readmissions like the participation of a pharmacist, education programmes and transition-of-care interventions and the use of digital assistance in the form of Clinical Decision Support Systems. However the methods and the results of these interventions show heterogeneity in the different researches. Conclusion There is much heterogeneity in incidence and definitions for both medication related hospital admissions and readmissions. Some risk factors are known for medication related admissions and readmissions such as polypharmacy, older age and additional diseases. Known interventions that could possibly lead to a decrease in medication related hospital readmissions are spare being the involvement of a pharmacist, education programs and transition-care interventions the most mentioned ones although controversial results have been reported. More research is needed to gather more information on this topic.

Community pharmacy medication review, death and re-admission after hospital discharge: a propensity score-matched cohort study

Background

In-hospital medication review has been linked to improved outcomes after discharge, yet there is little evidence to support the use of community pharmacy-based interventions as part of transitional care.

Objective

To determine whether receipt of a postdischarge community pharmacy-based medication reconciliation and adherence review is associated with a reduced risk of death or re-admission.

Design

Propensity score-matched cohort study.

Setting

Ontario, Canada

Participants

Patients over age 66 years discharged home from an acute care hospital from 1 April 2007 to 16 September 2016.

Exposure

MedsCheck, a publicly funded medication reconciliation and adherence review provided by community pharmacists.

Main outcome

The primary outcome was time to death or re-admission (defined as an emergency department visit or urgent rehospitalisation) up to 30 days. Secondary outcomes were the 30-day count of outpatient physician visits and time to adverse drug event.

Results

MedsCheck recipients had a lower risk of 30-day death or re-admission (23.4% vs 23.9%, HR 0.97, 95% CI 0.95 to 1.00, p=0.02), driven by a decreased risk of death (1.7% vs 2.1%, HR 0.79, 95% CI 0.73 to 0.86) and rehospitalisation (11.0% vs 11.4%, HR 0.96, 95% 0.93–0.99). In a post hoc sensitivity analysis with pharmacy random effects added to the propensity score model, these results were substantially attenuated. There was no significant difference in 30-day return to the emergency department (22.5% vs 22.8%, HR 0.99, 95% CI 0.96 to 1.01) or adverse drug events (1.5% vs 1.5%, HR 1.03, 95% CI 0.94 to 1.12). MedsCheck recipients had more outpatient visits (mean 2.11 vs 2.09, RR 1.01, 95% CI 1.00 to 1.02, p=0.02).

Conclusions and relevance

Among older adults, receipt of a community pharmacy-based medication reconciliation and adherence review was associated with a small reduced risk of short-term death or re-admission. Due to the possibility of unmeasured confounding, experimental studies are needed to clarify the relationship between postdischarge community pharmacy-based medication review and patient outcomes.

Association between medication-related adverse events and non-elective readmission in acute ischemic stroke

Background

There is limited data on the effects of medication-related adverse events occurring during inpatient stays for stroke. The objectives of our study were to characterize reasons for acute readmission after acute ischemic stroke (AIS) and determine if medication-related adverse events occuring during AIS hospitalization were associated with 30-day readmission. Secondary objectives examined whether demographic, clinical, and hospital characterisitcs were associated with post-AIS readmission.

Methods

We used the Nationwide Readmission Database to identify index AIS hospitalizations in the United States between January and November 2014. Inpatient records were screened for diagnostic and external causes of injury codes indicative of medication-related adverse events, including adverse effects of prescribed drugs, unintentional overdosing, and medication errors. Nationally representative estimates of AIS hospitalizations, medication-related adverse events, and acute non-elective readmissions were computed using survey weighting methods. Adjusted odds of readmission for medication-related adverse events and select characteristics were estimated using unconditional logistic regression.

Results

We identified 439,682 individuals who were hospitalized with AIS, 4.7% of whom experienced a medication-related adverse event. Overall, 10.7% of hospitalized individuals with AIS were readmitted within 30 days of discharge. Reasons for readmission were consistent with those observed among older adults. Inpatients who experienced medication-related adverse events had significantly greater odds of being readmitted within 30 days (adjusted odds ratio (AOR): 1.22; 95% CI: 1.14–1.30). Medication-related adverse events were associated with readmission for non-AIS conditions (AOR, 1.26; 95% CI: 1.17–1.35), but not with readmission for AIS (AOR, 0.91; 95% CI: 0.75–1.10). Several factors, including but not limited to being younger than 40 years (AOR, 1.12; 95% CI: 1.00–1.26), Medicare insurance coverage (AOR, 1.33; 95% CI: 1.26–1.40), length of stay greater than 1 week (AOR, 1.38; 95% CI: 1.33–1.42), having 7 or more comorbidites (AOR, 2.20; 95% CI: 2.08–2.34), and receiving care at a for-profit hospital (AOR, 1.20; 95% CI: 1.12–1.29), were identified as being associated with all-cause 30-day readmission.

Conclusions

In this nationally representative sample of AIS hospitalizations, medication-related adverse events were positively associated with 30-day readmission for non-AIS causes. Future studies are necessary to determine whether medication-related adverse events and readmissions in AIS are avoidable.

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 of electronic hospital discharge prescription records as a source of medication data for pharmacoepidemiological research

BACKGROUND

The advent of hospital electronic medical records (EMRs) with electronic prescribing provides considerable opportunity for pharmacoepidemiological research. However, validity of EMR prescribing data for research purposes is not well established. Validity concerns the percentage of cases in which medications and characteristics (name, type, formulation, dose) are true when verified with an independent data source. This study evaluated the validity of EMR discharge prescription data within the Eastern Health hospital network in Melbourne, Australia.

METHODS

A random sample of patients were selected who had a diagnosis of atrial fibrillation (AF) and were prescribed at least five medications. Prescription records from 2012 to 2015 were compared with pharmacy dispensing and hospital medical records (reference standards). Medication name, dose, directions and route of administration were compared. Discrepancies between data sources were categorized as omissions, additions, discrepancies in dose, medication form or route of administration or discrepancies in reordering. Sensitivities and 95% confidence intervals (CIs) for intended medication exposure were estimated for therapeutic classes.

RESULTS

A total of 5724 prescription orders for 479 patients for whom reference standards were available were included. There were 163 discrepancies (2.8%) between prescription records and reference standards. Additions were the most common data discrepancy (n = 65; ~1.1% of total prescriptions evaluated), followed by discrepancies in reordering (n = 34; 0.59%). Sensitivities for intended patient exposure to a medication for each therapeutic class at the first level of the Anatomical Therapeutic Chemical (ATC) classification system were between 97% and 100%. The genitourinary system and sex hormone level of the ATC system demonstrated the lowest sensitivity, (97.3%; 95% CI 92.0%-100%) and the cardiovascular system level demonstrated the highest sensitivity (99.9%; 95% CI 99.7%-100%).

CONCLUSION

EMR discharge prescription records for patients with AF are a valid information source for conducting pharmacoepidemiological research within Eastern Health in Melbourne, Australia. Further studies in different regions, countries and patient cohorts are required to establish validity of hospital EMR prescription records for pharmacoepidemiological research.

Divide and conquer: improving parental understanding of health-related instructions using sequential pictorial instructions

Patient misunderstandings of healthcare-related instructions result in significant health, social and economic consequences. Pushing the boundaries of traditional academic methods may offer strategies that promote new ways to improve communication and understanding between healthcare providers, caregivers and patients. Comics can be an educational tool, offering an innovative strategy to communicate health-related information. Our study objective was to compare parents' understanding of health-related instructions (i.e. prescription labels, medical instructions and emergency situation scenarios) that were presented using two different formats-sequential pictorial instructions (SPIs) versus written text instructions (WRIs).This was a cross-sectional study to compare parents' understanding of health-related instructions for pediatric patients using structured SPIs versus WRIs. Parents (n = 359, 18-82 years old) of pediatric patients were given a card with instructions that were presented as SPIs (n = 195, 54.3%) or WRIs (n = 164, 45.7%), and then they completed a questionnaire. Total (14 questions) and grouped scores (10 questions) for parental comprehension of prescription and medical emergency instructions were significantly higher among participants viewing the SPIs than those viewing the WRIs in both English and Spanish. The mean understanding of instructions significantly increased from 6% to 12.2% when comparing the WRI versus the SPI.Our initial findings indicate that parents and caregivers of pediatric patients had significantly better understanding and recall of instructions delivered using SPIs than using WRIs.