Faculty Bibliography

PURPOSE:Various models of care delivery have been investigated to meet the increasing demands in primary care. One proposed model is comanagement of patients by more than 1 primary care clinician. Comanagement has been investigated in acute care with surgical teams and in outpatient settings with primary care physicians and specialists. Because nurse practitioners are increasingly managing patient care as independent clinicians, our study objective was to propose a model of nurse practitioner-physician comanagement. METHODS:We conducted a literature search using the following key words: comanagement; primary care; nurse practitioner OR advanced practice nurse. From 156 studies, we extracted information about nurse practitioner-physician comanagement antecedents, attributes, and consequences. A systematic review of the findings helped determine effects of nurse practitioner-physician comanagement on patient care. Then, we performed 26 interviews with nurse practitioners and physicians to obtain their perspectives on nurse practitioner-physician comanagement. Results were compiled to create our conceptual nurse practitioner-physician comanagement model. RESULTS:Our model of nurse practitioner-physician comanagement has 3 elements: effective communication; mutual respect and trust; and clinical alignment/shared philosophy of care. Interviews indicated that successful comanagement can alleviate individual workload, prevent burnout, improve patient care quality, and lead to increased patient access to care. Legal and organizational barriers, however, inhibit the ability of nurse practitioners to practice autonomously or with equal care management resources as primary care physicians. CONCLUSIONS:Future research should focus on developing instruments to measure and further assess nurse practitioner-physician comanagement in the primary care practice setting.

OBJECTIVE: The aim of this study was to explore race-ethnic differences in the association between plasma lipid components and risk of incident myocardial infarction (MI). DESIGN/METHODS: As part of the Northern Manhattan Study, 2,738 community residents without cardiovascular disease were prospectively evaluated. Baseline fasting blood samples were collected, and lipid panel components were analyzed as continuous and categorical variables. Cox proportional hazards models were used to calculate HRs and 95% CIs for incident MI after adjusting for demographic and cardiovascular risk factors. RESULTS: The mean age was 68.8 +/- 10.4 years; 36.7% were men. Of the participants, 19.9% were non-Hispanic white; 24.9%, non-Hispanic black; and 52.8%, Hispanic (>80% from the Caribbean). Hispanics had lower mean high-density lipoprotein cholesterol (HDL-C) and higher triglycerides (TG)/HDL-C. During a mean 8.9 years of follow-up, there were 163 incident MIs. In the whole cohort, all lipid profile components were associated with risk of MI in the expected directions. However, HDL-C (adjusted HR per 10 mg/dL increase 0.93, 95% CI 0.76-1.12) and TG/HDL-C >2 (adjusted HR 0.89, 95% CI 0.51-1.55) were not predictive of MI among Hispanics but were predictive among non-Hispanic blacks and whites. Triglycerides/HDL-C per unit increase was associated with an 8% higher risk of MI among Hispanics (adjusted HR 1.08, 95% CI 1.04-1.12). CONCLUSIONS: In Hispanics, low HDL-C and TG/HDL-C >2 were not associated with MI risk. Our data suggest that a different TG/HDL ratio cutoff may be needed among Hispanics to predict MI risk.