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Background and Objectives: Diet plays an important role in the management of diabetes, and a suboptimal diet is a commonly identified problem. Family support may be important in overcoming barriers to good diet. We conducted this study to examine the role of the family in overcoming barriers to diet self-care among older Hispanic patients with diabetes., Methods: We performed a cross-sectional survey of 138 older Hispanic adults seeking care at an outpatient university clinic. Patients reported on their perception of family functioning, family support for diet, and barriers to diet self-care., Results: Level of family functioning was related to family support for diet self-care, and family support for diet was related to perceived barriers to diet self-care. Scores for family support were higher for those who perceived their family as functional compared to those who perceived their family as mildly dysfunctional or dysfunctional. As family support for diet increased, perceived barriers to diet self-care decreased., Conclusions: To fully understand difficulties encountered by older Hispanic adults with adherence to a diabetic diet, primary care physicians should explore the role of family support and family functioning. For those with poorly functioning families or low levels of family support, family-level interventions may need to be considered.

Background: The importance of a sustained relationship between patients and physicians is a defining characteristic of family medicine. This study examined whether there is an association among the length of the patient-physician relationship, various attributes of primary care, and the delivery of clinical preventive services to Medicare beneficiaries., Methods: The data source for this study was the 1993 Medicare Current Beneficiary Survey. Primary care attribute scales were developed by conducting a factor analysis of 17 survey questions. Three clinical preventive services were measured as outcomes: influenza vaccination, mammography, and an eye examination for diabetics. Path analyses were used to test the relationships between length of relationship, primary care attributes, and delivery of clinical preventive services., Results: As the length of the relationship increased, scores on communication, accumulated knowledge of the patient by the physician, and trust all improved. Length of relationship and communication predicted accumulated knowledge of the patient by the physician, accumulated knowledge predicted trust, and trust predicted delivery of preventive services., Conclusions: Among elderly Medicare beneficiaries, the ability to develop a sustained relationship with a provider is related to the realization of other important attributes of primary care. Trust was associated with delivery of important clinical preventive services. Efforts should be made to protect the ability of patients and physicians to sustain a relationship over time.

Understanding spatial relationships between determinants and outcomes of health care is important as the concept of population-based health care gains acceptance. A wide range of tools for understanding these spatial relationships is available to the family medicine researcher through the use of Geographic Information Systems (GIS). The power of GIS lies in its ability to display the spatial distribution of a health-related predictor or outcome. These maps can then be used to either generate or test hypotheses that would not have otherwise occurred to the investigator without visualizing the spatial relationships. The type of GIS application used is dependent on the type of data the researcher has and the research question. The three most common types of data are point or event data, lattice data, and geostatistical data. Point or event data can be displayed using a technique known as geocoding. Lattice data is most commonly displayed as shaded or colored areas where the shading represents rates or counts. Geostatistical data provides counts or numbers at a given location. The analytic techniques used for analyzing spatial data depend on the type of data. Maps tell powerful stories and display relationships that may not be obvious using other techniques.