OBJECTIVES: This study evaluates the impact of pharmacist-provided post-discharge services on hospital readmissions for members of a US managed Medicaid health plan. METHODS: Synergy Pharmacy Solutions (SPS) initiated a community-based transitional care service for high risk members of Kern Health Systems (KHS) managed Medicaid plan in 2013.  Over 800 patients were referred to SPS between April, 2013 and July, 2014.  KHS classified all hospitalized members by risk of readmission based on current and prior healthcare utilization, along with responses to a health risk assessment questionnaire. High-risk members admitted to a single hospital were referred to SPS for post discharge services.  This preliminary study reports results from initial analyses using a random test sample of 79 transitional care recipients referred to SPS and  propensity score matched sample of high-risk KHS members discharged from neighboring hospitals. All patients referred to SPS were eligible for random selection for the initial analysis, including those referrals who could not be contacted or who declined services.  Thirty-day and 180-day readmissions were analyzed by logistic regression controlling for demographics, healthcare utilization, and risk level. RESULTS: In these preliminary analyses, 1499 patients were identified by KHS from neighboring hospitals of which 556 were matched to randomly selected SPS patients using propensity score methods. The logistic regression analysis of 30-day and 180-day readmissions demonstrated a 3% reduction in 30-day readmissions [OR= 0.968 (95% CI 0.737-1.273)] and a 36% reduction in 180-day readmissions [OR=0.643 (95% CI 0.409-1.010)].   Neither estimate was statistically significant using this initial test sample. CONCLUSIONS: The analysis of a small sample of early referrals demonstrated that patients receiving post-discharge pharmacist services had lower readmission rates compared with those who did not receive pharmacist services. While these initial results were not statistically significant, a pending analysis of a larger sample will increase the statistical power and verify the conclusion.