[Evaluation of Accuracy and Influencing Factors for Diagnosis of Two Chronic Diseases by Primary Healthcare Providers in Sichuan Rural Areas Based on Standardized Patients]

Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2022 Apr;44(2):213-220. doi: 10.3881/j.issn.1000-503X.14218.
[Article in Chinese]

Abstract

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.

Keywords: chronic disease; diagnosis accuracy; primary healthcare provider; rural area; standardized patient.

MeSH terms

  • Angina, Unstable
  • China
  • Chronic Disease
  • Diabetes Mellitus, Type 2* / diagnosis
  • Health Personnel
  • Humans
  • Primary Health Care*
  • Surveys and Questionnaires