Objective The aim of this study is to explore the reasons and the main affecting factors of the reported tuberculosis (TB) patients by internet-based reporting system who failed to the Center for Disease Control and Prevention (CDC) for diagnosing and treating in Yunnan Province, so as to provide scientific evidence for constituting reasonable countermeasures and measures to improve the rate of the reported TB patients coming to CDC for diagnosing and treating. Methods Randomly sampled 730 tuberculosis patients by cluster sampling, surveyed by the questionnaires and logistic regression was used for data analysis. Results The main influencing factors were migrant, having no referring form of doctors, having no advice of doctors to CDC,having no financial problem, unbelieving TB harm to health, unknowing free treating policy of TB,untrusting CDC,unbelieving free medicine, hospitalization and unknowing the CDC address,with odds ratios of 3.234,0.438,0.065,0.056,0.117,0.153,0.336, 6.587,9.685 and 1.991, respectively .Conclusion To improve the rate of coming to CDC for diagnosing and treating, should take some integrated measures as follows: strengthening TB health promotion, strengthening referring program, strengthening communication between doctors and patients, and strengthening propaganda on CDC.

Objective:To introduce how to quickly set up a doctor team to achieve efficient treatment of batchs COVID-19 patients in Changchun GongTi shelter hospital.Methods:A cross-sectional study was conducted to analyze the basic situation of the doctors who supported the Changchun Gongti shelter hospital. The workload is the total number of patients from April 3 to 28, 2022. At the beginning of the task, the first week and the third week of the task, the five point scoring method was used to reflect the doctor's physical and mental state, stress state and rescue achievement. The time phased scheduling and disease grading management were fully implemented after 10 days of operation in the shelter. The doctors' ward round efficiency and self scoring changes before and after the implementation of the plan were compared, and the rescue results were summarized.Results:Total of 56 doctors (the Sichuan medical assistance team to Changchun), who undertook the work of Changchun Gongti shelter Hospital, came from 12 professional departments of 14 hospitals. By internal and external linkage-time phased scheduling and information-based patient zoning and grading management, the admission time of batch patients was shortened from (14.64±10.09) min to (6.80±5.10) min per person( P<0.05), the number of patients that each doctor can view per hour ranges from (28.50±12.26) to (68.43±19.95) ( P<0.01). A total of 1 293 patients were treated. There were no deaths, no accidents and no mild illness to severe illness in shelter hospital. 35 doctors completed a continuous survey. Before and after the implementation of those measures, the average physical state scores and the psychological state scores of doctors improved ( P=0.03), the self-score of stress feeling decreased ( P<0.01), and the self-score of professional achievement increased ( P<0.01). Conclusions:To adapt to the characteristics of emergency treatment for batch COVID-19 patients, the internal and external linkage-time phased scheduling and information-based patient zoning and grading management could help the temporarily convened doctors deal with a large number of patients efficiently, reduce work stress and exposure risk in shelter hospital.