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Background: A real-time electronic predictive model that identifies hospitalized heart failure (HF) patients at high risk for readmission or death may be valuable to clinicians and hospitals who care for these patients., Methods: An automated predictive model for 30-day readmission and death was derived and validated from clinical and nonclinical risk factors present on admission in 1372 HF hospitalizations to a major urban hospital between January 2007 and August 2008. Data were extracted from an electronic medical record. The performance of the electronic model was compared with mortality and readmission models developed by the Center for Medicaid and Medicare Services (CMS models) and a HF mortality model derived from the Acute Decompensated Heart Failure Registry (ADHERE model)., Results: The 30-day mortality and readmission rates were 3.1% and 24.1% respectively. The electronic model demonstrated good discrimination for 30 day mortality (C statistic 0.86) and readmission (C statistic 0.72) and performed as well, or better than, the ADHERE model and CMS models for both outcomes (C statistic ranges: 0.72-0.73 and 0.56-0.66 for mortality and readmissions respectively; P < 0.05 in all comparisons). Markers of social instability and lower socioeconomic status improved readmission prediction in the electronic model (C statistic 0.72 vs. 0.61, P < 0.05)., Conclusions: Clinical and social factors available within hours of hospital presentation and extractable from an EMR predicted mortality and readmission at 30 days. Incorporating complex social factors increased the model's accuracy, suggesting that such factors could enhance risk adjustment models designed to compare hospital readmission rates.

Objectives: To determine the percentage of residents accepting faculty positions following completion of a community pharmacy residency program (CPRP) and identify influences to pursue/not pursue an academic career., Methods: CPRP directors and preceptors across the United States were contacted and 53 community pharmacy residents were identified. The residents were invited to participate in surveys at the beginning and end of the 2005-2006 residency year., Results: Forty-five residents (85%) completed the preliminary survey instrument and 40 (75%) completed the follow-up survey instrument. Of these, 36 completed both survey instruments. Initially, 28 (62%) respondents indicated a faculty position as one of their potential job preferences. After completing their residency program, 3 (8%) residents accepted faculty positions; and 3 (8%) others were awaiting offers at follow-up. Reasons for accepting a faculty position were positive teaching experiences and the influence of a mentor or preceptor. Reasons for not pursuing a faculty position included lack of interest, geographic location, disliked teaching experiences, lack of preparedness, and non-competitive salary., Conclusion: Many community pharmacy residents consider faculty positions early in their residency but few pursue faculty positions. CPRPs and colleges of pharmacy should work together to enhance residents' experiences to foster interest in academia.