Analysis of the Characteristics of the Outcomes of Job-Transfer Subspecialty Training Program in Pediatrics in Hu'nan in 2020
Objective To investigate the characteristics of physician trainee outcomes after completion of the job-transfer subspecialty training in pediatrics in Hunan Province in 2020,and observe the influencing factors of the success rate of the transfer training.Methods From November 2020 to November 2021,relevant information of 2020 pediatrician job transfer training trainees in Hunan Province was collected through a questionnaire survey,and the characteristics of successful and unsuccessful job transfer trainees were compared.Results A total of 81 students completed the job transfer training,and 100%completed the survey.The median age of the 81 students was 33years.There were 18 males and 63 females,with a male to female ratio of 0.29:1.58 pediatrician(58/81)came from level Ⅱ hospitals,and the administrative division was mainly at the county level.54(66.7%)were from non-pediatric specialties.The success rate of job transfer training for pediatricians in 2020 was 77.8%(42/54).There was no significant difference in gender,age,hospital grade,specialty before job transfer,unit establishment of pediatrics,unit change and salary change of pediatricians after job transfer(P>0.05).There were statistically significant differences in the amount of work done by the successful trainees and the degree of attention paid by their hospitals after training compared with the unsuccessful trainees(P=0.007,P=0.002).52.4%of the trainees believed that the workload increased after job transfer compared with that before job transfer.Conclusion The pediatrics job transfer training supported by the government has obtain good results,which is of great significance to improve the hierarchical medical system of children's diseases.However,it is still a challenge to solve the problem of heavy workload of pediatricians and insufficient attention to pediatrics.
pediatricianjob-transfer trainingoutcomecontinuing educationinfluencing factorprimary doctor
万方数据
维普
