Chaos to complexity: leveling the playing field for measuring value in primary care.

RATIONALE, AIMS AND OBJECTIVES: Develop a risk-stratification model that clusters primary care patients with similar co-morbidities and social determinants and ranks 'within-practice' clusters of complex patients based on likelihood of hospital and emergency department (ED) utilization. METHODS: A retrospective cohort analysis was performed on 10 408 adults who received their primary care at the Medical University of South Carolina University Internal Medicine clinic. A two-part generalized linear regression model was used to fit a predictive model for ED and hospital utilization. Agglomerative hierarchical clustering was used to identify patient subgroups with similar co-morbidities. RESULTS: Factors associated with increased risk of utilization included specific disease clusters {e.g. renal disease cluster [rate ratio, RR = 5.47; 95% confidence interval (CI; 4.54, 6.59) P < 0.0001]}, low clinic visit adherence [RR = 0.33; 95% CI (0.28, 0.39) P < 0.0001] and census measure of high poverty rate [RR = 1.20; 95% CI (1.11, 1.28) P < 0.0001]. In the cluster model, a stable group of four clusters remained regardless of the number of additional clusters forced into the model. Although the largest number of high-utilization patients (top 20%) was in the multiple chronic condition cluster (1110 out of 4728), the largest proportion of high-utilization patients was in the renal disease cluster (67%). CONCLUSIONS: Risk stratification enhanced with disease clustering organizes a primary care population into groups of similarly complex patients so that care coordination efforts can be focused and value of care can be maximized.

Impact of the foundations of clinical medicine course on USMLE scores.

BACKGROUND: The synthesis of basic and clinical science knowledge during the clerkship years has failed to meet educational expectations. OBJECTIVES: We hypothesized that a small-group course emphasizing the basic science underpinnings of disease, Foundations of Clinical Medicine (FCM), could be integrated into third year clerkships and would not negatively impact the United States Medical Licensure Examination (USMLE) step 2 scores. DESIGN: In 2001-2002, all third year students met weekly in groups of 8-12 clustered within clerkships to discuss the clinical and basic science aspects of prescribed, discipline-specific cases. PARTICIPANTS: Students completing USMLE step 2 between 1999 and 2004 (n = 743). MEASUREMENTS: Course evaluations were compared with the overall institutional average. Bivariate analyses compared the mean USMLE steps 1 and 2 scores across pre- and post-FCM student cohorts. We used multiple linear regression to assess the association between USMLE step 2 scores and FCM cohort controlling for potential confounders. RESULTS: Students' average course evaluation score rose from 66 to 77 (2001-2004) compared to an institutional average of 73. The unadjusted mean USMLE step 1 score was higher for the post-FCM cohort (212.9 vs 207.5, respectively, p < .001) and associated with step 2 scores (estimated coefficient = 0.70, p < .001). Post-FCM cohort (2002-2004; n = 361) mean step 2 scores topped pre-FCM (1999-2001; n = 382) scores (215.9 vs 207.7, respectively, p < .001). FCM cohort remained a significant predictor of higher step 2 scores after adjustment for USMLE step 1 and demographic characteristics (estimated coefficient = 4.3, p = .002). CONCLUSIONS: A curriculum integrating clinical and basic sciences during third year clerkships is feasible and associated with improvement in standardized testing.