Contributors: Université Paris-Saclay; Laboratoire d'Economie de Dijon Dijon (LEDi); Université de Bourgogne (UB)-Université Bourgogne Franche-Comté COMUE (UBFC); Centre de recherche en épidémiologie et santé des populations (CESP); Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay; Institut national d'études démographiques (INED); Société de Formation Thérapeutique du Généraliste (SFTG); Université Sorbonne Paris Cité, USPC Institut National de Prévention et d'Éducation pour la Santé, INPES Institut National de Prévention et d'Éducation pour la Santé, INPES Institut National de Prévention et d'Éducation pour la Santé, INPES; The sources of funding for this work was the Groupement régional de santé publique d’Ile de France, the Conseil regional d’Ile de France, the National Institute for Prevention and Health Education (INPES, Institut national de prévention et d’éducation pour la santé) and the “la personne en médecine” program of Sorbonne Paris Cité University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”
نبذة مختصرة : International audience ; Background: We sought to analyze gender differences in General Practitioners' (GP) preventive practices: variations according to the GP's and the patient's genders, separately and combined, and the homogeneity of GPs' practices according to gender. Methods: Fifty-two general practitioners volunteered to participate in a cross-sectional study. A sample of 70 patients (stratified by gender) aged 40-70 years was randomly chosen from each GP's patient panel. Information extracted from the medical files was used to describe the GPs' preventive practices for each patient: measurements of weight, waist circumference, glucose, and cholesterol; inquiry and counseling about smoking, alcohol consumption, diet, and physical activity, and dates of cervical smears and mammographies. An aggregate preventive score was calculated to assess the percentage of these practices performed by each GP for patients overall and by gender. Mixed models were used to test for gender differences. Results: Questionnaires were collected in 2008-2009 for 71% of the 3640 patients and analyzed in June 2017. Male patients and female GPs were associated with the most frequent performance of many types of preventive care. The aggregate preventive score was higher for male patients (OR = 1.60, 95% CI 1.47-1.75) and female GPs (OR = 1.35, 95% CI 1.05-1.73). There was no combined effect of the genders of the two protagonists. Female patients of male GPs appeared to receive preventive care least frequently and female GPs to deliver preventive care more consistently than their male colleagues. Conclusion: Physicians need to be aware of these differences, for both patient gender and their own.
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