The Impact of Multiple Renal Estimates on Pharmacist Dosing Recommendations: A Randomized Trial.

BACKGROUND: Numerous equations are used for estimation of renal function, and many electronic medical records report multiple clearance estimates to assist with drug dosing. It is unknown whether the presence of multiple clearance estimates affects clinical decision-making. OBJECTIVE: To determine whether the presence of multiple renal clearance estimates affects pharmacist drug dosing decisions. METHODS: A randomized trial in the form of an electronic survey including 4 clinical vignettes was delivered to hospital pharmacists. Vignettes consisted of a patient presenting with an acute pulmonary embolism requiring enoxaparin therapy. Pharmacists were randomized to receive a single estimate of renal function or multiple estimates for all vignettes. The primary outcome was deviation from approved recommendations on at least 1 vignette. The χ2 test was used to detect differences in deviation rates between groups. Logistic regression was performed to adjust for the effects of potentially confounding variables. RESULTS: A total of 154 studies were completed (73 in the multiple-estimate group and 81 in the single-estimate group). Pharmacists presented with multiple renal estimates were significantly more likely to deviate from recommended dosing regimens than pharmacists presented with a single estimate (54.7% vs 38.2%; P = 0.04). The results were driven primarily by the 2 vignettes that included discordance among Cockcroft-Gault equation creatinine clearance estimates. Logistic regression identified multiple estimates as the only independent predictor of deviation (P = 0.04). CONCLUSION AND RELEVANCE: Pharmacists provided with a single renal clearance estimate were more likely to adhere to approved dosing recommendations than pharmacists provided with multiple estimates.

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.

Development of an iterative validation process for a 30-day hospital readmission prediction index.

PURPOSE: A study was conducted to determine if an iterative validation process could maintain or improve the discriminative and predictive capabilities of a 30-day hospital readmission prediction index over 2.5 years. METHODS: Patient admissions were retrospectively identified using the electronic medical record. The receiver operating characteristic curve was used to assess model discrimination. Prediction index specificity, sensitivity, and positive and negative predictive values were also assessed. A rolling iterative validation process was developed in which patient admissions were divided into 3-month cohorts. Each cohort was analyzed individually and then included into the cumulative patient cohort and analyzed again. RESULTS: From 121,277 patient visits, an iterative validation approach maintained the discrimination (0.71 to 0.72), predictive validity, and overall accuracy (80.9% to 81.7%) of the 30-day readmission prediction index over 2.5 years. Index sensitivity and negative predictive value increased from baseline while specificity and positive predictive value remained largely unchanged. None of the assessed index parameters diminished or became less useful over the course of the study. CONCLUSION: An internal iterative validation process based on frequentist statistics maintained the discriminative ability and accuracy of a readmission index over 2.5 years despite numerous changes in the variables associated with readmission in the patient population.

Derivation and validation of a hospital all-cause 30-day readmission index.

PURPOSE: The study derives and validates a 30-day hospital readmission risk index to predict a patient's likelihood of readmission, utilizing a health systems electronic medical record. METHODS: A retrospective data extraction and analysis was conducted using data from the electronic medical record to identify risks of 30-day all-cause hospital readmission on adult patients admitted to a large multi-site health system. Univariate and multivariable logistic regression was performed on a derivation cohort of hospital admissions (n = 40,668) and analyzed 91 variables associated with 30-day hospital readmission. A 10-variable risk prediction equation was generated and validated in a second patient cohort (n = 7,820). The prediction index's discriminative ability was determined using the c-statistic, and calibration of the prediction index was assessed with the use of the Hosmer-Lemeshow test. RESULTS: The hospital all-cause thirty-day readmission index (HATRIX) identified 10 variables to be highly associated with 30-day readmission. The discriminative ability of the derived prediction equation was determined using the c-statistic and was calculated to be 0.73 (95% confidence interval [CI] 0.72-0.73) for the derivation cohort. The prediction equation was validated using a second cohort of patients and resulted with an area under the curve (AUC) of 0.72 (95% CI 0.70-0.73), indicating modest discrimination. CONCLUSION: An original risk prediction index for 30-day hospital readmission was derived and validated using 2 cohorts of patients. Identifying patients who have an increased risk of 30-day hospital readmission with the use of the electronic medical record is an ideal method for targeting interventions and improving transitions-of-care to reduce hospital readmissions.

Clinical Outcomes of Student Pharmacist-Driven Medication Histories at an Academic Medical Center.

BACKGROUND: Many studies have shown the positive impact that student pharmacists have on patients' health; however, no studies have been published evaluating student pharmacists' impact on direct patient outcomes (ie, readmission, emergency department [ED] visits, length of stay) related to the medication history process. OBJECTIVE: To evaluate the impact of student pharmacist-obtained medication histories on identification of medication discrepancies and clinical outcomes. METHODS: Student pharmacists obtained medication histories and then compared the history to that obtained by other health-care providers. Students documented discrepancies and interventions were completed. Control patients were identified and discharge medication list and 30-day readmissions were compared. RESULTS: Seventeen students conducted 215 patient interviews, and 1848 modifications were made to documented home medications in the electronic medical record. Compared to controls (n = 148 student pharmacist, 149 controls), a nonsignificant improvement was found in discharge medication list completeness scores in patients seen by student pharmacists (3.94 vs 3.63; P = .06); but no difference was found in accuracy scores (0.92 vs 0.93; P = .41). Fewer ED visits at 30 days were found in the student pharmacist group (8 vs 18; P = .045), with no difference in readmissions. CONCLUSIONS: Student pharmacist-obtained medication histories improved the information available for identifying drug-related problems for inpatients, completeness of the discharge medication list, and ED visits within 30 days.

Acute Pain Management in Hospitalized Adult Patients with Opioid Dependence: A Narrative Review and Guide for Clinicians.

Pain management is a core competency of hospital medicine, and effective acute pain management should be a goal for all hospital medicine providers. The prevalence of opioid use in the United States, both therapeutic and non-medical in origin, has dramatically increased over the past decade. Although nonopioid medications and nondrug treatments are essential components of managing all acute pain, opioids continue to be the mainstay of treatment for severe acute pain in both opioid-naïve and opioid-dependent patients. In this review, we provide an evidence-based approach to appropriate and safe use of opioid analgesics in treating acute pain in hospitalized patients who are opioid-dependent. Journal of Hospital Medicine 2017;12:375-379.

Implementing and sustaining a mentorship program at a college of pharmacy: The Keys to Successful Mentorship.

OBJECTIVE: To evaluate mentor and mentee opinions of The Keys to Successful Mentorship, a longitudinal student-led mentorship program established at a college of pharmacy. EDUCATIONAL ACTIVITY AND SETTING: In 2008, a mentorship program was created whereby first year pharmacy students (mentees) were paired with third year pharmacy students (mentors). An anonymous survey was administered to second (P2) and fourth (P4) year pharmacy students identifying strengths and weaknesses of the program. FINDINGS: Results of the survey administered to the P2 and P4 pharmacy students revealed that there was a strong desire to take part in the mentorship program. Of the respondents, 77% of P2 and 70% of P4 students stated the mentorship program aided in their professional growth. Mentors disagreed significantly more than mentees that participation in the program should be optional. Qualitative findings suggested that the program assisted students in building professional relationships and networks, better prepared them for experiential training, and helped with post-graduate decisions. CONCLUSION: The implementation of a longitudinal student-led mentorship program was supported by student pharmacists and may aid in their professional development.

Alcohol withdrawal syndrome in medical patients.

The authors provide a critical review focusing on pharmacotherapy of alcohol withdrawal syndrome in hospitalized patients who are not critically ill. They outline recommendations for patient assessment and monitoring.

Implementation and outcomes of a pharmacy residency mentorship program.

PURPOSE: The implementation and outcomes of a pharmacy residency mentorship program are described. SUMMARY: The mentorship program at the Detroit Medical Center was formally implemented during the residency orientation period in 2013. Residents had up to two months after the start of the residency to choose a mentor, which we believed was an adequate amount of time to meet all members of the department of pharmacy. One year after implementation of the mentorship program, an anonymous survey was administered to all 16 residents to gather feedback about the mentorship program. Eleven (70%) of the 16 residents completed the survey. A majority agreed that having a mentor was a beneficial aspect of their residency training, often citing their mentor as integral in their career planning and helpful in balancing their personal and professional lives. Further, 91% (n = 10) of the respondents indicated that they planned on remaining in contact with their mentor after their residency. Nearly half of the residents met multiple times per month or weekly. All respondents stated that their mentor was available and accessible when needed. The year after program implementation, all residents were either offered a position for employment or matched to a residency before the completion of the residency. Although the mentors were not assessed with an anonymous survey, there continues to be overwhelming support for the continuation and improvement of the program as part of residency training. CONCLUSION: Implementation of a mentorship program during residency training was viewed as beneficial for personal and professional development by many of the residents.