ABSTRACT
Objective:To analyze factors related to clinic attendance for contracted residents in a community health service center in Shanghai.Methods:It was a cross-sectional study. Through the 'Cloud Management of the Community' APP and the 'Service Fee of Contracted Residents' APP, the basic information, contracted time, hospital visits, number of visits, and medical insurance expenses of the contracted residents in Shanggang Community Health Service Center in 2021 were collected, the visiting rate to the contracted community health center and the contracted medical combination hospitals were analyzed.Results:In 2021, the contracting rate of all residents in the community was 49.96% (51 478/103 033). The contracting rate of the key population was 84.59% (43 545/51 478),among whom 66.28% (34 118/51 478) were over 60 years, 49.93% (25 702/51 478) had been contracted for more than 3 years, and 37.43% (19 270/51 478) had hypertension and/or diabetes. The number of contracted general practitioners was 4.89 times of contracted TCM doctors (1 345.17/274.81). Among all contracted residents 78.75% (40 540/51 478) had at least one visit annually, and 65.00% (33 463/51 478) had at least one visit to community health service center and the average number of visits was 17.63(5.00, 24.00)annually. The rate of visit to contracted the community health service center was (46.97±38.37) %, and 41.78% (16 937/40 540) had≥60% visit to contracted community center; the average visiting rate to the combination hospitals was (70.59±34.57) %, and 55.75% (22 602/40 540) had consultation rate≥80%. These residents were older in age, had longer contract time, higher proportion of hypertension and diabetes, and higher medical expenses, compared to those with less visits to contracted community health center and combination hospitals ( P<0.01). Meanwhile, 11 736 residents (35.07%) only visited to the contracted community health service center. Conclusion:The contracted residents are mainly the elderly and the sick ones in the community, but the use of contracted service is inadequate. Improving the visiting rate to community health center is a challenge for make a full use of the contracted health facilities.
ABSTRACT
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.