Results of a multicenter cluster-randomized controlled clinical trial testing the effectiveness of a bioinformatics-enabled pharmacist intervention in transplant recipients.

An ambulatory medication safety dashboard was developed to identify missing labs, concerning labs, drug interactions, nonadherence, and transitions in care. This system was tested in a 2-year, prospective, cluster-randomized, controlled multicenter study. Pharmacists at 5 intervention sites used the dashboard to address medication safety issues, compared with usual care provided at 5 control sites. A total of 2196 transplant events were included (1300 intervention vs 896 control). During the 2-year study, the intervention arm had a 11.3% (95% confidence interval, 7.1%-15.5%) absolute risk reduction of having ≥1 emergency department (ED) visit (44.2% vs 55.5%, respectively; P < .001, respectively) and a 12.3% (95% confidence interval, 8.2%-16.4%) absolute risk reduction of having ≥1 hospitalization (30.1% vs 42.4%, respectively; P < .001). In those with ≥1 event, the median ED visit rate (2 [interquartile range (IQR) 1, 5] vs 2 [IQR 1, 4]; P = .510) and hospitalization rate (2 [IQR 1, 3] vs 2 [IQR 1, 3]; P = .380) were similar. Treatment effect varied by comorbidity burden, previous ED visits or hospitalizations, and heart or lung recipients. A bioinformatics dashboard-enabled, pharmacist-led intervention reduced the risk of having at least one ED visit or hospitalization, predominantly demonstrated in lower risk patients.

A Randomized Control Trial Testing a Medication Safety Dashboard in Veteran Transplant Recipients.

INTRODUCTION: Medication errors, adverse events, and nonadherence in organ transplant recipients are common and can lead to suboptimal outcomes. A medication safety dashboard was developed to identify issues in medication therapy. RESEARCH QUESTIONS: Can a multicenter bioinformatics dashboard accurately identify clinically relevant medication safety issues in US military Veteran transplant recipients? DESIGN: The dashboard was tested through a 24-month, prospective, cluster-randomized controlled multicenter study. Pharmacists used the dashboard to identify and address potential medication safety issues, which was compared with usual care. RESULTS: Across the 10 sites (5 control sites and 5 intervention sites), 2012 patients were enrolled (1197 intervention vs 831 control). The mean age was 65 (10) years, 95% male, and 27% Black. The dashboard produced 18 132 alerts at a rate of 0.61(0.32) alerts per patient-month, ranging from 0.44 to 0.72 across the 5 intervention sites. Lab-based issues were most common (83.4%), followed by nonadherence (9.4%) and transitions in care (6.4%); 56% of alerts were addressed, taking an average of 43 (29) days. Common responses to alerts included those already resolved by another provider (N = 4431, 44%), the alert not clinically relevant (N = 3131, 31%), scheduling of follow-up labs (N = 591, 6%), and providing medication reconciliation/education (N = 99, 1%). Inaccurate flags significantly decreased over the study by a mean of -0.6% per month (95% CI -0.1 to -1.0; P = .0265), starting at 13.4% and ending at 2.6%. CONCLUSION: This multicenter cluster-randomized controlled trial demonstrated that a medication safety dashboard was feasibly deployable across the VA healthcare system, creating valid alerts.

The Magnitude and Potential Causes of Sex Disparities in Statin Therapy in Veterans with Type 2 Diabetes: A 10-year Nationwide Longitudinal Cohort Study.

BACKGROUND: Past research has shown that women eligible for statin therapy are less likely than their male counterparts to receive any statin therapy or be prescribed a statin at the guideline-recommended intensity. We compared statin treatment in men and women veterans from a national cohort of older veterans with type 2 diabetes. METHODS: The Veterans Health Administration Corporate Data Warehouse and Centers for Medicare and Medicaid Services data were used to create a unique dataset and perform a longitudinal study of veterans with type 2 diabetes from 2007 to 2016. Mixed-effects logistic regression was used to model the association between the primary exposure (sex) and statin use. RESULTS: The study included 714,212 veterans with diabetes, including 9,608 women, with an overall mean age of 75.9 years. In the unadjusted model for any statin use, women veterans had a 14% significantly lower odds of having any statin use compared with men. After adjusting for all covariates, including markers of Veterans Administration care use (service-connected disability rating, Veterans Administration use, and primary care visits) that serve as proxies for access and mental health comorbidities (depression and psychiatric disorder), this disparity narrowed from 14% to 3% and was no longer statistically significant. In the model for high-intensity statin therapy (high-intensity vs. low or none), women were 10% less likely than men to use high-intensity statins in the base model that included only time and sex. After adjusting for all measured covariates, the direction of the association changed and women had 16% higher odds of high-intensity statin use compared with men (odds ratio, 1.16; 95% confidence interval, 1.03-1.31). CONCLUSIONS: Consistent with prior research, in the unadjusted analysis a significant sex disparity was observed in statin use, with lower rates observed in women. For the outcome of any statin use, after adjustment for covariates that included variables that are proxies for access as well as psychiatric and depression comorbidities, this disparity lost statistical significance and narrowed. In the high-intensity statin versus low or none model, the direction of the association changed after controlling for measured covariates and women had a 16% higher odds of high-intensity statin use compared with men. This study highlights a persistent health disparity in lipid-lowering therapy for women veterans. Additional research is needed to further elucidate the reasons for and develop interventions to mitigate this persistent sex disparity in cholesterol management for veterans with diabetes.