Résumé
Objective:To analyze the influencing factors related to visiting rate of residents to contracted family doctors in a community health service center in Beijing.Methods:One thousand patients with contracted family doctor services who visited our center from January 2019 to December 2019 were selected for retrospective analysis. According to the corresponding visiting rate of contracted family doctors,patients were divided into low corresponding visiting rate, medium corresponding visiting rate and high corresponding visiting rate, and the influencing factors were analyzed.Results:Among the 1 000 patients, 481 (48.1%) were in the high corresponding visiting rate group, 342 (34.2%) in the middle corresponding visiting rate group, and 177 (17.7%) in the low corresponding visiting rate group. Univariate analysis showed that the corresponding visit rate was significantly associated with the age, marital status and educational level of patients, history of hypertension, the number of family doctor visits, the total visiting time and the consultation time per year (χ 2=12.55, 12.42, 7.69, 21.69, 253.97, 49.54, 9.07, all P<0.05). Multivariate logistic regression analysis showed that compared with the high corresponding visiting rate group, fewer of family doctor visits ( OR=0.68, 95 %CI: 0.58-0.78), lower education level( OR=0.65, 95 %CI: 0.46-0.92), history of hypertension ( OR=0.09, 95 %CI: 0.02-0.49), and 18-65 years old( OR=1.80, 95 %CI: 1.27-2.55) were the influencing factors for the low corresponding family doctor visiting rate(all P<0.05); while fewer of family doctor visits( OR=0.91, 95 %CI: 0.83-0.99),lower education level ( OR=0.74, 95 %CI: 0.55-0.98)and history of hypertension( OR=0.09, 95 %CI: 0.02-0.44)were the related factors of the medium corresponding visiting rate(all P<0.05). Conclusions:The visiting rate of patients to the contracted family doctor needs to be improved. The number of consultations of the contracted family doctor, educational background, history of hypertension, and age are the influencing factors of the corresponding visiting rate.