Impact of pharmacist involvement on medication safety in interprofessional transfer of care activity.

AIM: Any transition of patient care is a high-risk time for communication error. This paper explores whether the presence of a pharmacist as part of an interprofessional group provides additional benefit and safety in transitions of care. METHOD: Six pharmacy interns and newly qualified pharmacists joined participants from seven other health professional training programmes to take part in an interprofessional education activity. Participants were assigned to 24 mixed-professional groups. Each group was required to craft a discharge summary for the same simulated patient. Groups without a pharmacist were given additional written documentation, including medication reconciliation, discharge prescription and discharge recommendations. The 24 discharge summaries were assessed for any medication-related information, both positive and negative. Groups with a pharmacist (6) were compared with groups who did not have a pharmacist (18) for completeness and accuracy of medication management. RESULTS: An in-person pharmacist provided more thorough, comprehensive, accessible and accurate information for the community team (p=0.003). Although there was no difference in the absolute number of medication errors between the groups (p=0.057), the groups with a pharmacist showed a significant reduction in the severity of the errors (p=0.009). This result happened despite the groups without a pharmacist being provided with all the required medication information for safe transition of care. CONCLUSION: These findings support the case for greater involvement from a pharmacist in a patient's healthcare team, particularly for any transition of care. Healthcare teams that include a pharmacist are more likely to exceed minimum safety expectations and make less severe errors.

Incidence and Variables Associated With Inconsistencies in Opioid Prescribing at Hospital Discharge and Its Associated Adverse Drug Outcomes.

OBJECTIVES: Opioid-related medication errors (MEs) can have a significant impact on patient health and contribute to opioid misuse. The objective of this study was to estimate the incidence of and variables associated with the receipt of an opioid prescription and opioid-related MEs (omissions, duplications, or dose changes) at hospital discharge. We also determined rates of adverse drug events and risks of emergency department visits, readmissions, or death 30 days and 90 days post discharge associated with MEs. METHODS: A cohort of hospitalized patients discharged from the McGill University Health Centre between 2014 and 2016 was assembled. The impact of opioid-related MEs was assessed in a propensity score-adjusted logistic regression models. Multivariable logistic regression was used to determine characteristics associated with MEs and discharge opioid prescription. RESULTS: A total of 1530 (43.9%) of 3486 patients were prescribed opioids, of which 13.4% (n = 205) of patients had at least 1 opioid-related ME. Rates of MEs were higher in handwritten prescriptions compared to the electronic reconciliation discharge prescription group (20.6% vs 1.2%). Computer-based prescriptions were associated with a 69% lower risk of opioid-related MEs (adjusted odds ratio: 0.31, 95% confidence interval: 0.14-0.65) as well as 63% lower risk of receiving an opioid prescription. Opioid-related MEs were associated with a 2.3 times increased risk of healthcare utilization in the 30 days postdischarge period (adjusted odds ratio: 2.32, 95% confidence interval: 1.24-4.32). CONCLUSIONS: Opioid-related MEs are common in handwritten discharge prescriptions. Our findings highlight the need for computer-based prescribing platforms and careful review of medications during critical periods of care such as hospital transitions.

Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship between medication regimen complexity and patient outcomes. METHODS: This study was a single-center, retrospective observational evaluation of 130 adults admitted to the medical ICU. The MRC-ICU score was utilized to improve the inpatient model's prediction accuracy. Three models were proposed: model I, demographic data without medication data; model II, demographic data and medication regimen complexity variables; and model III: demographic data and the MRC-ICU score. A total of 6 ML classifiers was developed: k-nearest neighbor (KNN), naïve Bayes (NB), random forest, support vector machine, neural network, and logistic classifier (LC). They were developed and tested using electronic health record data to predict inpatient mortality. RESULTS: The results demonstrated that adding medication regimen complexity variables (model II) and the MRC-ICU score (model III) improved inpatient mortality prediction.. The LC outperformed the other classifiers (KNN and NB), with an overall accuracy of 83%, sensitivity (Se) of 87%, specificity of 67%, positive predictive value of 93%, and negative predictive value of 46%. The APACHE III score and the MRC-ICU score at the 24-hour interval were the 2 most important variables. CONCLUSION AND RELEVANCE: Inclusion of the MRC-ICU score improved the prediction of patient outcomes on the previously established APACHE III score. This novel, proof-of-concept methodology shows promise for future application of the MRC-ICU scoring tool for patient outcome predictions.

The accuracy, completeness and timeliness of discharge medication information and implementing medication reconciliation: A cross-sectional survey of general practitioners.

BACKGROUND AND OBJECTIVES: General practitioners (GPs) require accurate medication information to care for recently discharged hospital patients. Pre-discharge medication reconciliation improves the accuracy of patient medication lists that GPs receive. This study aimed to explore GPs' perceptions of the accuracy, completeness and timeliness of hospital discharge medication information, and how they undertake medication reconciliation. METHOD: Using a cross-sectional online survey, quantitative and qualitative data were collected from a convenience sample of GPs practising across the Gold Coast, Australia. Data were analysed using descriptive statistics and content analysis. RESULTS: Twelve GPs were recruited. Patient hospital discharge medication information was mostly accurate and complete, but delays in receiving this information affected the ability of GPs to undertake medication reconciliation. DISCUSSION: Receiving accurate and timely patient discharge medication information can reduce errors. Optimising the communication of medication information to GPs may improve patient safety.

Quality Improvement Incorporating a Feedback Loop for Accurate Medication Reconciliation.

OBJECTIVES: Medication reconciliation errors on hospital admission can lead to significant patient harm. A pediatric intermediate care unit initiated a quality improvement project and aimed to reduce errors in admission medication reconciliation by 50% in 12 months. METHODS: From August 2017 to December 2018, a multidisciplinary team conducted a quality improvement project with plan-do-study-act methodology. Continuous data collection was achieved by reviewing medications with home caregivers within 18 hours of admission to identify errors. Cycle 1 consisted of nursing training in accurate and thorough medication history documentation. Cycle 2 was aimed at improving data collection. Cycle 3 was aimed at improving pediatric housestaff processes for medication reconciliation. In cycle 4 intervention, the reconciliation process was redesigned to incorporate the bedside nurse reviewing final medication orders with the patient's home caregivers once the medication reconciliation process was complete. Intermittent maintenance data collection continued for 12 months thereafter. RESULTS: Cycle 1 and 2 interventions resulted in improvement in the medication reconciliation error rate from 9.8% to 4.7%. In cycle 2, the data collection rate improved from 61% to 80% of admissions sustained. Cycle 3 resulted in a further reduction in the medication error rate to 2.9%, which was sustained in cycle 4 and over the 12-month maintenance period. A patient's number of home medications did not correlate with the error rate. CONCLUSIONS: Reductions in admission medication reconciliation errors can be achieved with staff education on medication history and process for medication reconciliation and with process redesign that incorporates active medication order review as a closed-loop communication with home caregivers.

[How complete is the Germany-wide standardised medication list ("Bundeseinheitlicher Medikationsplan")? An analysis at hospital admission.] / Wie vollständig ist der Bundeseinheitliche Medikationsplan? Eine Analyse bei Krankenhausaufnahme.

BACKGROUND: At inpatient admission, the timeliness and completeness of the Germany-wide standardised medication list ("Bundeseinheitlicher Medikationsplan") often seems inappropriate. It is also unclear which characteristics of the lists increase the probability of discrepancies. METHODS: A total of 100 medication lists of elective patients of a surgical clinic were retrospectively evaluated with regard to potential discrepancies compared to the standardised medication reconciliation. The discprepancies were assigned to 7 categories: drug taken is missing on the list, drug on the list is no longer taken, strength or dosage is missing at the list or is incorrect, or the documented dosage form is different. Advice on patient safety, involved drugs and dosage forms were also recorded. Multivariate analyses were used to investigate the influence of the timeliness, number of drugs and issuing medical specialty of the lists on the type and number of discrepancies. RESULTS: Compared to the medication reconciliation, 78 % (78/100) of the lists showed discrepancies. A total of 226 deviations (2.3 ±â€Š0.6 deviations/list) were documented. Most often, a drug was missing from the list (n = 103). Of all recommendations, 64 % (83/177) concerned the perioperative management of anticoagulants (n = 55) and antidiabetics (n = 28), corresponding to 62 % (62/100) of the lists. In the multivariate analysis, only the risk of incorrect information on strength and dosage increased significantly with the age of the lists (p = 0.047) and was more than twice as high when the list was more than one month old. CONCLUSIONS: The timeliness, completeness and aspects of patient safety must be comprehensively validated. Medication lists that are older than 1 month should be checked particularly critically with regard to information on strength and dosage and the plan should be updated accordingly at regular intervals.

Approaches to Optimize Medication Data Analysis in Clinical Cohort Studies.

OBJECTIVES: Methods for pharmacoepidemiologic studies of large-scale data repositories are established. Although clinical cohorts of older adults often contain critical information to advance our understanding of medication risk and benefit, the methods best suited to manage medication data in these samples are sometimes unclear and their degree of validation unknown. We sought to provide researchers, in the context of a clinical cohort study of delirium in older adults, with guidance on the methodological tools to use data from clinical cohorts to better understand medication risk factors and outcomes. DESIGN: Prospective cohort study. SETTING: The Successful Aging After Elective Surgery (SAGES) prospective cohort. PARTICIPANTS: A total of 560 older adults (aged ≥70 years) without dementia undergoing elective major surgery. MEASUREMENTS: Using the SAGES clinical cohort, methods used to characterize medications were identified, reviewed, analyzed, and distinguished by appropriateness and degree of validation for characterizing pharmacoepidemiologic data in smaller clinical data sets. RESULTS: Medication coding is essential; the American Hospital Formulary System, most often used in the United States, is not preferred over others. Use of equivalent dosing scales (e.g., morphine equivalents) for a single medication class (e.g., opioids) is preferred over multiclass analgesic equivalency scales. Medication aggregation from the same class (e.g., benzodiazepines) is well established; the optimal prevalence breakout for aggregation remains unclear. Validated scale(s) to combine structurally dissimilar medications (e.g., anticholinergics) should be used with caution; a lack of consensus exists regarding the optimal scale. Directed acyclic graph(s) are an accepted method to conceptualize causative frameworks when identifying potential confounders. Modeling-based strategies should be used with evidence-based, a priori variable-selection strategies. CONCLUSION: As highlighted in the SAGES cohort, the methods used to classify and analyze medication data in clinically rich cohort studies vary in the rigor by which they have been developed and validated.

Conversion from paper to electronic acute care chemotherapy orders.

PURPOSE: UNC Medical Center converted to an electronic health record (EHR) in 2014. This conversion allowed for the transition of paper chemotherapy orders to be managed electronically. This article describes the process for converting inpatient paper chemotherapy orders into the new EHR in a safe and effective manner. SUMMARY: A collaborative interdisciplinary approach to the EHR transition enabled our organization to move from using paper chemotherapy orders to fully electronic chemotherapy treatment plans in both ambulatory and acute care areas. Active chemotherapy orders for acute care inpatients were reviewed and transcribed by two oncology pharmacists in the cancer hospital prior to being signed by an attending physician. The newly input orders were independently verified by two pharmacists in the cancer hospital inpatient pharmacy. Nurse review of the signed and verified treatment plans, along with reconciliation of the medication administration record ensured a safe transition to the new EHR workflow. Providers benefit from the ability to review treatment plans remotely, track changes, and include supportive medications in one consolidated location. The coordinated team effort allowed for a smooth transition with minimal interruptions to patient care. CONCLUSION: The pharmacist-led, multidisciplinary conversion to electronic chemotherapy orders was safe, accurate, and occurred ahead of schedule for the EHR go-live. Advance communication and planning around scheduled inpatient admissions helped to minimize the impact of the transition from paper to electronic treatment plans. Both pharmacist and physician engagement were necessary to ensure a smooth transition for active inpatient treatment plans.

Barriers and facilitators of medicines reconciliation at transitions of care in Ireland - a qualitative study.

BACKGROUND: Medication error at transitions of care is common. The implementation of medicines reconciliation processes to improve this issue has been recommended by many regulatory and safety organisations. The aim of this study was to gain insight from healthcare professionals on the barriers and facilitators to the medicines reconciliation implementation process. METHODS: Semi-structured interviews were conducted in Ireland with a wide range of healthcare professionals (HCPs) involved with medicines reconciliation at transitions of care. Thematic analysis was undertaken using an adaptation of a combined theoretical framework of Grol, Cabana and Sluisveld to classify the barriers and facilitators to implementation of medicines reconciliation. RESULTS: Thirty-five participants were interviewed, including eleven community pharmacists (CPs), eight hospital pharmacists (HPs), nine hospital consultants (HCs), five general practitioners (GPs), and two non-consultant hospital doctors (NCHDs). Themes were categorized into barriers and facilitators. Barriers included resistance from existing professional cultures, staff interest and training, poor communication and minimal information and communications technology (ICT) support. Solutions (facilitators) suggested included supporting effective multidisciplinary teams, greater involvement of pharmacists in medicines reconciliation, ICT solutions (linked prescribing databases, decision support systems) and increased funding to provide additional (e.g. admission and discharge reconciliation) and more advanced services (e.g. community pharmacist delivered medicines use review). CONCLUSIONS: Medicines reconciliation is advocated as a solution to the known problem of medication error at transitions of care. This study identifies the key challenges and potential solutions that policy makers, managers and HCPs should consider when reviewing the practices and processes of medicines reconciliation in their own organisations.

Improving transitions of care for critically ill adult patients on pulmonary arterial hypertension medications.

PURPOSE: The purpose of this report is to describe the activities of critical care and ambulatory care pharmacists in a multidisciplinary transitions-of-care (TOC) service for critically ill patients with pulmonary arterial hypertension (PAH) receiving PAH medications. SUMMARY: Initiation of medications for treatment of PAH involves complex medication access steps. In the ambulatory care setting, multidisciplinary teams often have a process for completing these steps to ensure access to PAH medications. Patients with PAH are frequently admitted to an intensive care unit (ICU), and their home PAH medications are continued and/or new medications are initiated in the ICU setting. Inpatient multidisciplinary teams are often unfamiliar with the medication access steps unique to PAH medications. The coordination and completion of medication access steps in the inpatient setting is critical to ensure access to medications at discharge and prevent delays in care. A PAH-specific TOC bundle for patients prescribed a PAH medication who are admitted to the ICU was developed by a multidisciplinary team at an academic teaching hospital. The service involves a critical care pharmacist completing a PAH medication history, assessing for PAH medication access barriers, and referring patients to an ambulatory care pharmacist for postdischarge telephone follow-up. In collaboration with the PAH multidisciplinary team, a standardized workflow to be initiated by the critical care pharmacist was developed to streamline completion of PAH medication access steps. Within 3 days of hospital discharge, the ambulatory care pharmacist calls referred patients to ensure access to PAH medications, provide disease state and medication education, and request that the patient schedule a follow-up office visit to take place within 14 days of discharge. CONCLUSION: Collaboration by a PAH multidisciplinary team, critical care pharmacist, and ambulatory care pharmacist can improve TOC related to PAH medication access for patients with PAH. The PAH TOC bundle serves as a model that may be transferable to other health centers.

Implementation and sustainability of a medication reconciliation toolkit: A mixed methods evaluation.

PURPOSE: MARQUIS (Multi-Center Medication Reconciliation Quality Improvement Study) provided participating hospitals with a toolkit to assist in developing robust medication reconciliation programs. Here we describe hospitals' implementation of the MARQUIS toolkit, barriers and facilitators, and important factors that may enhance the spread and sustainability of the toolkit. METHODS: We used a mixed methods, quantitative-qualitative study design. We invited site leaders of the 5 hospitals that participated in MARQUIS to complete a Web-based survey and phone interview. The Consolidated Framework for Implementation Research guided question development. We analyzed the collected data using descriptive statistics (for survey responses) and thematic content analysis (for interview results). RESULTS: Site leaders from each MARQUIS hospital participated. They reported that MARQUIS toolkit implementation augmented their hospitals' existing but limited medication reconciliation practices. Survey results indicated executive leadership support for toolkit implementation but limited institutional support for hiring staff (reported by 20% of respondents) and/or budgetary support for implementation (reported by 60% of respondents). Most participating hospitals (80%) shifted staff responsibilities to support medication reconciliation. Interview findings showed that inner setting (ie, organizational setting) and process factors (eg, designation of champions) both inhibited and facilitated implementation. Hospitals adopted a variety of toolkit interventions (eg, discharge medication counseling) using a range of implementation strategies, including development of educational tools and tip sheets for staff members and electronic health record templates. CONCLUSION: Despite limited institutional support, hospitals can successfully implement, spread, and sustain the MARQUIS toolkit by shifting staff responsibilities, adding pharmacy staff, and using a variety of strategies to facilitate implementation. Although leadership support and resources for data collection and dissemination facilitated implementation, limited staff buy-in and competing priorities may hinder implementation.

Framework for Pharmacy Services Quality Improvement-A Bridge to Cross the Quality Chasm.

OBJECTIVE: To review the literature on the subject of quality improvement principles and methods applied to pharmacy services and to describe a framework for current and future efforts in pharmacy services quality improvement and effective drug therapy management. BACKGROUND: The Academy of Managed Care Pharmacy produced the Catalog of Pharmacy Quality Indicators in 1997, followed by the Summary of National Pharmacy Quality Measures in February 1999. In April 2002, AMCP introduced Pharmacy's Framework for Drug Therapy Management in the 21st Century. The Framework documents include a self-assessment tool that details more than 250 specific "components" that describe tasks, behaviors, skills, functions, duties, and responsibilities that contribute to meeting customer expectations for effective drug therapy management. FINDINGS: There are many opportunities for quality improvement in clinical, service, and cost outcomes related to drug therapy management. These may include patient safety; incidence of medical errors; adverse drug events; patient adherence to therapy; attainment of target goals of blood pressure, glucose, and lipid levels; risk reduction for adverse cardiac events and osteoporotic-related fractures; patient satisfaction; risk of hospitalization or mortality; and cost of care. Health care practitioners can measure improvements in health care quality in several ways including (a) a better patient outcome at the same cost, (b) the same patient outcome at lower cost, (c) a better patient outcome at lower cost, or (d) a significantly better patient outcome at moderately higher cost. Measurement makes effective management possible. A framework of component factors (e.g., tasks) is necessary to facilitate changes in the key processes and critical factors that will help individual practitioners and health care systems meet customer expectations in regard to drug therapy, thus improving these outcomes. CONCLUSIONS: Quality improvement in health care services in the United States will be made in incremental changes that rely on a structure-process-outcome model. The structure is provided by evidence created from controlled randomized trials and other studies of care and system outcomes that are based on the scientific method. The process portion is created by the application of evidence in the form of clinical practice guidelines, clinical practice models, and self-assessment tools such as Pharmacy's Framework for Drug Therapy Management. Incremental changes in structure and process will result in the desirable outcome of meeting customer needs for more effective drug therapy and disease management. DISCLOSURES: Authors Richard N. Fry and Steven G. Avey are employed by the Foundation for Managed Care Pharmacy, a nonprofit charitable trust that serves as the educational and philanthropic arm of the Academy of Managed Care Pharmacy; author Frederic R. Curtiss performed the majority of work associated with this manuscript prior to becoming editor-in-chief of the Journal of Managed Care Pharmacy. This manuscript underwent blinded peer review and was subject to the same standards as every article published in JMCP.

Medicines reconciliation in primary care: a study evaluating the quality of medication-related information provided on discharge from secondary care.

Objectives: Medicines reconciliation is an effective way of reducing errors at transitions of care. Much of the focus has been on medicines reconciliation at point of admission to hospital. Our objective was to evaluate medicines reconciliation after discharge from hospital by assessing the quality of information regarding medicines within discharge summaries and determining whether the information provided regarding medicines changes were acted on within 7 days of receiving the discharge information. Methods: A retrospective collaborative evaluation of medicines-related discharge information by Clinical Commissioning Group (CCG) pharmacists using standardised data collection tools. Outcomes of interest included compliance with national minimum standards for medication-related information on discharge summaries, such as allergies, changes to medication regimen, minimum prescription standards, for example, dose, route, formulation and duration, and medicines reconciliation by the primary care team. Data were analysed centrally. Results: 43 CCGs covering each of the four National Health Service regions in England participated in the study and submitted data for 1454 patients and 10 038 prescribed medicines. The majority of medication details were stated in accordance with standards with the exception of indication (11.7% compliance), formulation (60.3% compliance) and instructions of ongoing use (72.5% compliance). Documentation about changes was poor: 1550/3164 (49%) newly started medicines, 186/477 (39%) dose changes and 420/738 (57%) stopped medicines had a reason documented. Changes were not acted on within 7 days of receiving the discharge information for 12.5% of patients. Conclusions: Our evaluation revealed overall good compliance with discharge medication documentation standards, but a number of changes to medicines during hospitalisation were not fully communicated or documented on the discharge summary or actioned in the general practice after discharge.

Evaluating the effects of a multidisciplinary transition care management program on hospital readmissions.

PURPOSE: To measure the effect of a pharmacist-initiated transitions of care (TOC) program on rates of 30-day all-cause readmissions and primary care follow-up. METHODS: A retrospective cohort study was conducted to evaluate a pharmacist-initiated TOC program for patients discharged from hospitals of a large health system from September 2015 through July 2016. Discharged patients of 13 primary care physicians (the intervention cohort) received TOC program services, and discharged patients seen by 12 other primary care physicians (the control cohort) received usual care. Patients in both cohorts were followed for 90 days. The primary outcome was 30-day all-cause readmissions, and secondary outcomes were 14-day primary care visits, TOC pharmacist identification and resolution of medication therapy problems (MTPs), and transition care management (TCM) billing. Multivariable modeling was performed to test the associations of patient receipt of TOC services with 30-day readmissions and 14-day primary care visits, with controlling for patient demographics and baseline healthcare utilization. RESULTS: A total of 492 patients received the TOC intervention, and 379 were followed in the usual care cohort. Among intervention patients, 960 MTPs were identified, and 85.7% of identified MTPs were resolved. Moreover, 9% of intervention cohort patients were readmitted within 30 days, compared to 15% of control cohort patients, and this effect was significant in the multivariable model (odds ratio, 1.82; 95% confidence interval, 1.15-2.89; P = 0.0108). Rates of primary care visits did not differ significantly between the groups; 65% of intervention group visits were billed using TCM codes. CONCLUSION: A pharmacist-initiated TOC program was effective in reducing 30-day all-cause readmissions.

Pharmacist-led program to improve transitions from acute care to skilled nursing facility care.

PURPOSE: A pharmacist-led process to improve medication management in transitions from acute care to skilled nursing facility (SNF) care is described. SUMMARY: The process of transitioning patients from an acute care facility to a SNF involves multiple steps, with the potential for delays in medication administration. As part of a health system's effort to evaluate barriers to timely first-dose administration after hospital-to-SNF transfers, a multidisciplinary team was tasked with defining the frequency of missed doses of high-risk medications and identifying reasons for medication administration delays. A retrospective review was conducted to evaluate medication orders for patients discharged from a community hospital and admitted to a SNF from January through June 2017 (the baseline period). This review found that 60% of first doses of high-risk medications were given after the scheduled administration time. One major barrier identified was a delay in entering medication orders in the SNF electronic medical record after SNF admission. It was also observed that 30-day readmission rates for transferred patients exceeded established readmission rate targets. To address identified process barriers, a pharmacist-led pilot program was developed. The program focused on process improvements at the same 2 hospitals and SNF sites during the period of March through May 2018. The pharmacist reviewed, reconciled, and entered medication orders prior to patient arrivals to the SNF. After pharmacist implementation, order entry delays were eliminated, and the mean delay from medication due time to administration was decreased by 68% relative to baseline data. The discharge summaries of 51% of transferred patients were found to contain medication errors, most of which were clarified and resolved prior to SNF admission. It was observed that the 30-day all-cause readmission rate after SNF transfers during the pilot program was 10.4% lower than during the same timeframe of the previous year. CONCLUSION: By implementing a pharmacist-led process for medication management in transitions from acute care to SNF care, major barriers such as delayed medication administration and medication order entry were reduced. In addition, discharge medication errors were addressed and resolved prior to patients' admission to the SNF.

Evaluation of a multidisciplinary approach to reduce internal medicine readmissions using a readmission prediction index.

PURPOSE: Readmission prediction indices are used to stratify patients by the risk of hospital readmission. We describe the integration of a 30-day hospital readmission prediction index into the electronic medical record (EMR) and its impact on pharmacist interventions during transitions of care (TOC). METHODS: A retrospective cohort study was conducted to compare 30-day readmission rates between adult internal medicine inpatients admitted by a multidisciplinary team providing TOC services (the TOC group) and those who received usual care (the control group). Interventions by a pharmacist serving on the TOC team were guided by an EMR-integrated readmission index, with patients at the highest risk for readmission receiving targeted pharmacist interventions. Inpatient encounters (n = 374) during the 5-month study period were retrospectively identified. Chi-square and Mann-Whitney U tests were performed to analyze differences in nominal and nonparametric continuous variables, respectively. Logistic regression was performed to identify variables associated with 30-day readmissions. The log-rank test was used to analyze hazard ratios for readmission outcomes in the 2 cohorts. RESULTS: Thirty-day readmission rates did not differ significantly in the TOC group and the control group (20.9% vs 18.3%, P = 0.52). However, patients who received additional direct pharmacist interventions, as guided by use of a hospital readmission index, had a lower 30-day readmission rate than patients who did not (11.4% vs 21.7%, P = 0.04). The readmission index score was significantly associated with the likelihood of 30-day readmission (odds ratio for readmission, 1.25; 95% confidence interval, 1.16-1.34; P < 0.01). The difference in unadjusted log-rank scores at 30 days with and without pharmacist intervention was not significant (P = 0.05). A mean of 4.5 medication changes were identified per medication reconciliation performed by the TOC pharmacist. CONCLUSION: A multidisciplinary TOC team approach did not reduce the 30-day readmission rate on an internal medicine service. However, patients who received additional direct pharmacist interventions guided by a readmission prediction index had a reduced readmission rate.

Implementation of a pharmacist-led transitional care clinic.

PURPOSE: To describe a pharmacist-led transitional care clinic (TCC) for high-risk patients who were recently hospitalized or seen in the emergency department (ED). SUMMARY: The Memphis Veterans Affairs Medical Center (VAMC) established a pharmacist-led face-to-face and telephone follow-up TCC to improve posthospitalization follow-up care through medication optimization and disease state management, particularly for veterans with high-risk disease states such as chronic obstructive pulmonary disease (COPD) and heart failure (HF). The clinic's clinical pharmacy specialists (CPSs) ordered diagnostic and laboratory tests, performed physical assessments, and consulted other providers and specialty services in addition to performing medication reconciliation, compliance assessment, and evaluation of adverse drug events. TCC patients were typically seen within 2 weeks of discharge and subsequently referred back to their primary care provider or a specialty care provider for continued management. A retrospective review of 2016 TCC data found that 7.8% of patients seen in the TCC were readmitted within 30 days of discharge; readmission rates for COPD and HF were reduced to 13% and 10%, respectively, compared to hospital-wide readmission rates of 17% and 24%. A separate observational analysis found that 30-day readmissions for COPD and HF were reduced in TCC patients, with pharmacists documenting an average of 6.2 interventions and 3.3 medication-related problems per patient. To reduce clinic appointment no-shows, the CPSs worked with inpatient providers and schedulers to emphasize to patients the importance of clinic attendance; also, TCC services were expanded to include telehealth appointments to increase access for rural and/or homebound patients. CONCLUSION: A pharmacist-led TCC effectively reduced readmissions and prevented medication-related problems for high-risk patients who were hospitalized or seen in the ED.

Effects of pharmacy interventions at transitions of care on patient outcomes.

PURPOSE: An interdisciplinary group developed a care transitions process with a prominent pharmacist role. METHODS: The new transitions process was initiated on a 32-bed medical/surgical unit. Demographics, reconciliation data, information on medication adherence barriers, medication recommendations, and time spent performing interventions were prospectively collected for 284 consecutive patients over 54 days after the pharmacy participation was completely implemented. Outcome data, including 30-day readmission rates and length of stay, were retrospectively collected. RESULTS: When comparing metrics for all intervention patients to baseline metrics from the same months of the previous year, the readmission rate was decreased from 21.0% to 15.3% and mean length of stay decreased from 5.3 days to 4.4 days. Further improvement to a 10.2% readmission rate and a 3.6-day average length of stay were observed in the subgroup of intervention patients who received all components of the pharmacy intervention. Additionally, greater improvements were observed in intervention-period patients who received the full pharmacy intervention, as compared to those receiving only parts of the pharmacy intervention, with a 10.2-percentage-point lower readmission rate (10.2% vs 20.4%, P = 0.016) and a 1.7-day shorter length of stay (3.6 days vs 5.3 days; 95% confidence interval, 0.814-2.68 days; P = 0.0003). For patients receiving any component of the pharmacy intervention, an average of 9.56 medication recommendations were made, with a mean of 0.89 change per patient deemed to be required to avoid harm and/or increased length of stay. CONCLUSION: A comprehensive pharmacy intervention added to a transitions intervention resulted in an average of nearly 10 medication recommendations per patient, improved length of stay, and reduced readmission rates.