Quality of diabetes care in family medicine practices: influence of nurse-practitioners and physician's assistants.

PURPOSE: The aim of this study was to assess whether the quality of diabetes care differs among practices employing nurse-practitioners (NPs), physician's assistants (PAs), or neither, and which practice attributes contribute to any differences in care. METHODS: This cross-sectional study of 46 family medicine practices from New Jersey and Pennsylvania measured adherence to American Diabetes Association diabetes guidelines via chart audits of 846 patients with diabetes. Practice characteristics were identified by staff surveys. Hierarchical models determined differences between practices with and without NPs or PAs. RESULTS: Compared with practices employing PAs, practices employing NPs were more likely to measure hemoglobin A(1c) levels (66% vs 33%), lipid levels (80% vs 58%), and urinary microalbumin levels (32% vs 6%); to have treated for high lipid levels (77% vs 56%); and to have patients attain lipid targets (54% vs 37%) (P

Strategies for conducting complex clinical trials in diverse community practices.

BACKGROUND: Closing the gap between evidence and practice demands interventions targeting the whole practice. These system level interventions require more complex designs and require greater practice involvement. Current descriptions of trials use research designs that either limit practice involvement or make use of large health system resources. OBJECTIVE: To share insights on retention of practices in a complex clinical trial aimed at improving care of multiple chronic conditions in 60 diverse community primary care practices not supported by large health system resources. RESEARCH DESIGN: Qualitative cross case analysis of field notes from meetings of a diverse research team. RESULTS: Five interrelated factors were found to be important to the success of the study implementation process: (1) developing structure and activities for relationship building; (2) attention to consistent communication; (3) timely information sharing; (4) evolution of a cross-functional research team; (5) provision of technical assistance. Specific strategies were identified to overcome challenges to study implementation. CONCLUSIONS: Diverse community primary care practices without support from health system resources will complete participation in complex trials. Researchers need not avoid answering questions requiring complex study designs; however, successful implementation requires an individualized approach tailored to the needs and characteristics of each practice.

Social network analysis as an analytic tool for interaction patterns in primary care practices.

PURPOSE: Social network analysis (SNA) provides a way of quantitatively analyzing relationships among people or other information-processing agents. Using 2 practices as illustrations, we describe how SNA can be used to characterize and compare communication patterns in primary care practices. METHODS: Based on data from ethnographic field notes, we constructed matrices identifying how practice members interact when practice-level decisions are made. SNA software (UCINet and KrackPlot) calculates quantitative measures of network structure including density, centralization, hierarchy and clustering coefficient. The software also generates a visual representation of networks through network diagrams. RESULTS: The 2 examples show clear distinctions between practices for all the SNA measures. Potential uses of these measures for analysis of primary care practices are described. CONCLUSIONS: SNA can be useful for quantitative analysis of interaction patterns that can distinguish differences among primary care practices.