ABSTRACT
Objective:To estimate the frequencies of medical X-ray diagnositic examinations and analyze their distribution in Huai′an City.Methods:Stratified random sampling was used to select 2 tertiary hospitals including 1 general hospital and 1 MCH hospital, 4 secondary hospitals, 20 primary and unclassified hospitals to investigate medical X-ray examination frequencies in the 26 hospitals in 2017.Results:The average number of X-ray diagnostic equipment were 13.5 pieces in tertiary hospitals, 7.3 in second-level hospitals and 1.6 in primary and ungraded hospitals. The fraction of imported equipment accounted for 85.2%, 69.0% and 9.4%, respectively. The higher the hospital level, the greater the proportion of equipment with five years of service history. The number of examinations in 2017 in the 26 hospitals were X-ray photography 350 221, fluoroscopy 71 597, CT 327 404, dental 23 820 and breast 12 849, respectively. The number of examinations per 1 000 population were estimated to be 444.22 by conventional X-ray and 236.40 by CT.Conclusions:The frequency of conventional X-ray examinations in the city is slightly lower than the average level in Jiangsu province in 2016 and the CT examination frequency is roughly same as in Jiangsu province.
ABSTRACT
Objective@#To analyze the status of job burnout among the community and township public health workers, and to provide scientific basis for formulating comprehensive prevention and control measures.@*Methods@#A census sampling method was used to investigate the job burnout by using the self-made general demographic data questionnaire and the MBI-GS in HuaiAn.@*Results@#A total of 1074 valid questionnaires were collected, and the total physical examination rate of job burnout was 58.7%, 51.3% were mild burnout, 7.4% were highly burnout. Multivariate ordered logistic regression analysis showed that sex (OR=1.32), chronic disease (OR=1.92)、and daily working hours greater than 7 h (OR=1.40)、township health center (OR=1.31) were independent risk factors for occupational burnout. The age "≥51" (OR=0.45)、"41~" (OR=0.58) are the independent protective factors for the occurrence of job burnout.@*Conclusion@#Job burnout detection rate was high in the staff of essential public health service, sex, daily working hours, health status, age and work unit are the main factors influencing job burnout.