The role of organization of care in GPs' prevention practice.

BACKGROUND: General practitioners (GPs) do not systematically include preventive recommendations in their practice, and some characteristics of health care organization are associated with more systematic prevention. But the characteristics of health care organization may act in a nonuniform manner depending on the type of preventive care. Thus, one characteristic can be positively associated with one type of preventive care and negatively associated with another. Our aim was to investigate the association between health care organization in general practice and different areas of preventive care (immunization and addiction prevention), in search of nonuniform associations. METHODS: We used a representative survey of 1,813 French GPs conducted in 2009. Four preventive care practices were studied: immunization through flu and HPV vaccination, and prevention of addictive behaviors concerning tobacco and alcohol use.Characteristics of GPs' health care organization and the social context of their practice were collected (spatial accessibility to GPs and socioeconomic level of the area of practice). We constructed mixed models to study associations and interactions between the organization variables and preventive care. RESULTS: Four out of five characteristics of GPs' organization have uneven impacts on different types of preventive care (p-interaction < 10-4). For example, number of daily consultations is associated with better immunization prevention but with poorer prevention counseling in addictive behaviors. In contrast, working with digital medical files is uniformly associated with both types of preventive care (OR = 1.29 [1.15-1.45]; P < 10-4). CONCLUSION: An approach centered on specific types of preventive care should help deepen our understanding of prevention and possibly help to identify a new typology for preventive care.

Level of agreement between physician and patient assessment of non-medical health factors.

Background: GPs need to consider assorted relevant non-medical factors, such as family or work situations or health insurance coverage, to determine appropriate patient care. If GPs' knowledge of these factors varies according to patients' social position, less advantaged patients might receive poorer care, resulting in the perpetuation of social inequalities in health. Objective: To assess social disparities in GPs' knowledge of non-medical factors relevant to patient care. Methods: Observational survey of GPs who supervise internships in the Paris metropolitan area. Each of the 52 enrolled GPs randomly selected 70 patients from their patient list. Their knowledge of five relevant factors (coverage by publicly funded free health insurance, or by supplementary health insurance, living with a partner, social support and employment status) was analysed as the agreement between the patients' and GPs' answers to matching questions. Occupational, educational and financial disparities were estimated with multilevel models adjusted for age, sex, chronic disease and GP-patient relationship. Results: Agreement varied according to the factor considered from 66% to 91%. The global agreement score (percentage of agreement for all five factors) was 72%. Social disparities and often gradients, disfavouring the less well-off patients, were observed for each factor considered. Social gradients were most marked according to perceived financial situation and for health insurance coverage. Conclusion: GPs must be particularly attentive toward their least advantaged patients, to be aware of the relevant non-medical factors that affect these patients' health and care, and thus provide management adapted to each individual's personal situation.

Are primary-care physician practices related to health behaviors likely to reduce social inequalities in health?

Our objective was to examine patients' health behaviors and the related practices of their primary-care physicians to determine whether physicians' actions might help to reduce the social inequalities in health behaviors among their patients. Fifty-two general practitioners, who were also medical school instructors in the Parisian area, volunteered to participate. A sample of 70 patients (stratified by sex) aged 40-70years was randomly chosen from each physician's patient panel and asked to complete a questionnaire about their social position and health behaviors: tobacco and alcohol use, diet, physical activity, and participation in breast and cervical cancer screening. Each physician reported their practices related to each such behavior of each patient. Mixed models were used to test for social differences. Questionnaires were collected in 2008-2009 from both patient and physician for 71% of the 3640 patients. Our results showed social inequalities disfavored those at the bottom of the social scale for all but one of the health behaviors studied among both men and women (exception: excessive alcohol consumption among women). Physicians' practices related to these health behaviors also appeared to be socially differentiated. Among men, this differentiation favored those with the lowest social position for all behaviors except physical activity. Among women, however, practices favored the most disadvantaged only for breast cancer screening. In all other cases, they were either socially neutral or unfavorable to the most disadvantaged. Physicians' practices related to their patients' health behaviors should focus more on those lowest in the social hierarchy, especially among women.

Time and feasibility of prevention in primary care.

BACKGROUND: Prevention is an essential task in primary care. According to primary care physicians (PCPs),lack of time is one of the principal obstacles to its performance. OBJECTIVE: To assess the feasibility of prevention in terms of time by estimating the time necessary to perform all of the preventive care recommended, separately from the PCPs and patient's perspectives, and to compare them to the amount of time available. METHODS: A review of the literature identified the prevention procedures recommended in France, the duration of each procedure and its recommended frequency, as well as PCPs' consultation time. A hypothetical patient panel size of 1000 patients, representative of the French population, served as the basis for our calculations of the annual time necessary for prevention for a PCP. The prevention time from the patient's perspective was estimated from data collected from a previous study of a panel of 3556 patients. RESULTS: For PCPs, the annual time necessary for all of the required preventive care was 250 hours, or 20% of their total patient time. For a patient, the annual time required for prevention during encounters with a PCP ranged from 9.7 to 26.4 minutes per year. The mean total encounter time was 75.9 minutes per year. Nearly 73% of patients had a prevention-to-care time ratio exceeding 15%. CONCLUSION: Feasibility thus differs substantially between patients. These differences correspond especially to disparities in the annual care time used by each patient. Specific solutions should be developed according to the patients' utilization of care.