ABSTRACT
Objective To describe and analyze the status quo of the doctor and nurse configuration in Heilongjiang Province,and to study their cultivation condition while predicting the number of medical staff.Methods Through the health workforce database of Heilongjiang Province in 2014,using Excel 2007 statistical software,the status quo of doctor and nurse configuration was analyzed.The grey prediction model was also used to analyze the number of medical staff in Heilongjiang province from 2004 to 2014,and the number of medical staff in Heilongjiang province from 2016 to 2018 was predicted.Results Up to 2015,the number of doctors and nurses in Heilongjiang Province accounted for 0.42％ of the total population,composed of mainly young and middle-aged staff and mostly with bachelor's degree and junior college certificate.Doctor-to-nurse ratio was 1:0.96.The grey prediction model indicated that the number of medical staff in Heilongjiang Province would increase year by year,and the inversion of doctor-to-nurse ratio would be eased.Conclusion The reform and development of medical education in Heilongjiang Province has promoted the optimization of the professional title structure and educational structure.It is expected that by 2016 Heilongjiang medical care ratio inversion problem will be completely resolved.
ABSTRACT
Objective To measure the learning passion of medical students and evaluating its in-fluencing factors. Methods Taking 879 medical students as research subjects to conduct a questionnaire survey according to specialty and grade stratified sampling. The questionnaire contained two parts, includ-ing learning passion scale and general situation questionnaire. The effective recovery rate was 69.28%, 609 valid questionnaires were recovered. SPSS 22.0 and AMOS 21.0 software were used for statistical analysis of data, analyzing the reliability and validity of the questionnaire with internal consistency reliability coeffi-cient and confirmatory factor analysis. The factors of learning passion of medical students were analyzed by logistic regression analysis. Results The questionnaire of learning passion of medical students contained 12 measurement items, including 2 dimensions: harmonious passion and obsessive passion. The questionnaire was of fine reliability (Cronbach's Alpha=0.916) and validity (χ2/df=3.401,RMSEA=0.073,GFI=0.958). The learning passion of medical students was at upper middle level (4.390±0.934). The influence of achievement level (OR=1.691, 95%CI=1.415 to 2.021), school satisfaction (OR=0.586, 95%CI=0.402 to 0.854) and profession plan (short-term plan OR=2.121, 95%CI=1.310 to 3.434;long-term plan OR=3.822,95%CI=1.972 to 7.405) on learning passion were statistically significant. Conclusion The questionnaire of learning pas-sion of medical students has fine reliability and validity. Achievement level, school satisfaction and profes-sion plan are factors affecting the learning passion of medical students.
ABSTRACT
Objective To develop an evaluation index system of reputation for higher medical insti-tutions and to test its reliability and validity. Methods Using literature method and small-group discussion to collect the evaluation indexes, the data was collected by the questionnaire survey and the 1 493 effective questionnaires were collected with effective recovery rates of 61.90%. And the exploratory and confirmatory factor analysis methods were conducted to develop evaluation index system with using the SPSS 17.0 soft-ware for statistics analysis. Results The evaluation index system of reputation for higher medical institutions included six dimensionalities: social responsibility, opinion direction, social image, management quality, emotional attract and environmental facility. The Cronbachs’a coefficients of evaluation index system were greater than 0.7, RMSEA is 0.063<0.08, χ2/df is 3.933<5, therefore, the structural equation model fitting was good and evaluation index system had good validity. Conclusion This article has developed an evalu-ation index system of reputation for higher medical institutions, which has a good reliability and validity. To test the model’s reliability and validity, the suggestion that the future research will be performed between more other medical universities has been given.