基于标准化患者法评价四川农村基层医生两种慢性病诊断准确性及其影响因素

目的 运用标准化患者法评估四川农村地区基层医生不稳定型心绞痛和2型糖尿病两种慢性病诊断准确性现状,探讨基层医生两种慢性病诊断准确性的主要影响因素,为提升基层医生两种慢性病诊断准确性提供科学依据。方法 采用多阶段随机整群抽样方法,抽取四川省自贡市5个区/县50个乡镇100个村为研究现场,以调查当日在岗的全科及内科医生作为研究对象。共进行两轮数据采集,第1轮采集样本乡镇卫生院和村卫生室医生的基本信息;第1轮调查完成1个月后,运用标准化患者法开展第2轮调查,收集农村基层医生对不稳定型心绞痛和2型糖尿病诊断结果信息。运用Logistic回归分析农村基层医生不稳定型心绞痛和2型糖尿病诊断准确性的影响因素。结果 共纳入172名农村基层医生,完成186次标准化患者访问,正确诊断率为48.39%。其中不稳定型心绞痛的正确诊断率为18.68%(17/91),2型糖尿病的正确诊断率为76.84%(73/95)。Logistic回归分析显示,具有执业医师资质的农村基层医生更有可能做出正确诊断(OR=4.857,95%CI=1.076~21.933,P=0.040)。农村基层医生在诊断过程中涉及的必要问诊和检查条目越多,做出正确诊断的概率越高(OR=1.627,95%CI=1.065~2.485,P=0.024)。与不稳定型心绞痛相比,农村基层医生对2型糖尿病做出正确诊断的可能性更高(OR=6.306,95%CI=3.611~11.013,P<0.001)。结论 四川农村基层医生不稳定型心绞痛和2型糖尿病诊断准确性整体较差,建议以基层医生慢性病诊断过程质量改善为突破口,提升基层医生执业水平,进而提高慢性病诊断准确性。

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

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.