ABSTRACT
Objective To understand the current situation and explore the influencing factors of delay in seeking medical treatment for common symptoms of residents in the rural areas of Sichuan province. Methods In July 2019,multi-stage random sampling was carried out in Zigong city,Sichuan province,and the data were collected by face-to-face questionnaire interview.The residents who had lived at hometown for more than half a year in the past year and had seen a doctor in the most recent month were surveyed.Logistic regression was adopted to predict the influencing factors of delay in seeking medical treatment. Results A total of 342 subjects were enrolled,and the incidence of delay in seeking medical treatment was 13.45%(46/342).Compared with the young and middle-aged(<65 years)people,the elderly(≥65 years)people were more likely to have delay in seeking medical treatment (OR=2.187,95%CI=1.074-4.457,P=0.031).The rural residents who gave higher score of the overall quality of township health centers were less likely to have delay in seeking medical treatment (OR=0.854,95%CI=0.735-0.992,P=0.039). Conclusions The occurrence of delay in seeking medical treatment for common symptoms of rural residents in Sichuan province is low.Age and the overall quality evaluation of township health centers affect the occurrence of delay in medical treatment among the rural residents in Sichuan province.Efforts should be made to improve the awareness of disease prevention among the elderly in rural areas.The investment in health resources in township health centers should be increased to strengthen the introduction and training of talents.These measures can improve the health services in township health centers,guide residents to make timely use of health resources,and reduce the occurrence of delay in seeking medical treatment.
Subject(s)
Middle Aged , Aged , Humans , Surveys and Questionnaires , Logistic Models , Rural Population , China/epidemiologyABSTRACT
Objective We used standardized patients to evaluate the accuracy and explore the influencing factors of the diagnosis of unstable angina pectoris and type 2 diabetes by primary healthcare providers in Sichuan rural areas,aiming to provide a scientific basis for improving the diagnosis accuracy of primary healthcare providers for the two chronic diseases. Methods A multi-stage stratified random cluster sampling method was adopted to select 100 villages from 50 townships in 5 districts/counties in Zigong city,Sichuan province. General and internal medicine practioners who were on duty on the survey day were enrolled in the survey.Two rounds of data collection were conducted.In the first round,the basic information of providers from township health centers and village clinics was collected.One month after the the first survey,standardized patients were used to collect the information related to the diagnosis of unstable angina pectoris and type 2 diabetes by rural primary providers.Logistic regression was carried out to analyze the factors influencing the diagnosis accuracy. Results A total of 172 rural primary healthcare providers were enrolled in the survey,who completed 186 standardized patient visits and showed the correct diagnosis rate of 48.39%.Specifically,the correct diagnosis rates of unstable angina pectoris and type 2 diabetes were 18.68%(17/91) and 76.84%(73/95),respectively.The providers with medical practitioner qualifications were more likely to make correct diagnosis(OR=4.857,95%CI=1.076-21.933, P=0.040).The providers who involved more necessary consultation and examination items in the diagnosis process had higher probability of correct diagnosis(OR=1.627,95%CI=1.065-2.485, P=0.024).Additionally,the providers were more likely to make a correct diagnosis for type 2 diabetes than for unstable angina pectoris(OR=6.306,95%CI=3.611-11.013, P<0.001). Conclusions The overall diagnosis accuracy of unstable angina pectoris and type 2 diabetes was relatively low among primary healthcare providers in Sichuan rural areas.The training of diagnosis process can be taken as a key for improving providers' practice ability so as to increase the diagnosis accuracy of chronic diseases.