摘要
Objective:To survey the job satisfaction of online contracted nurses who provide " Internet plus nursing services" for reference of hospital managers in improving their management mechanism in this regard.Methods:Based on the two-factor theory, a questionnaire was designed and a purposive sampling method was used to survey the online contracted nurses in Anhui province in April and May 2022. The motivational factors included such five dimensions as workload, work content, colleague relationship, doctor-patient relationship, and their own development, and the healthcare factors included such three dimensions as salary, job recognition and social status. The questionnaire data and job satisfaction scores were analyzed descriptively, and the correlation between the overall job satisfaction of the online contracted nurses, while each dimension was analyzed by Pearson correlation analysis, and the influence of each dimension on job satisfaction was analyzed by stepwise regression analysis.Results:A total of 335 valid questionnaires were recovered. The mean score of job satisfaction of online contracted nurses was (2.26±0.38), with the highest score of (2.56±0.53) for salary satisfaction and the lowest score of (1.78±0.67) for job recognition, and each dimension was positively correlated with job satisfaction ( r=0.34-0.88, P<0.01). Regression analysis showed that workload ( B=0.07), salary ( B=0.11), job content ( B=0.23), social status ( B=0.12), and self-development ( B=0.15) were the main factors affecting their job satisfaction ( P<0.01). Conclusions:The job satisfaction of online contracted nurses was at a medium level, mainly influenced by workload, salary, job content, social status and their own development. It is recommended that hospitals implement multiple targeted measures to improve the job satisfaction of online contracted nurses and promote the healthy development of " Internet plus nursing services" .
摘要
Objective:To construct a training course system for online appointment nurses based on post competence,and to provide references for the training and development of online appointment nurses in China.Methods:From January 2021 to May 2022, based on the theory of post competence, literature review, policy research, questionnaire survey and and expert consultation were used to establish the training course system of online appointment nurses.Results:The effective recovery rates of the two rounds of expert consultation questionnaires were 18/18 and 17/18, respectively; the expert authority coefficient was 0.928 and 0.938, respectively; and the Kendall harmony coefficient was 0.185 and 0.284, respectively, the differences were statistically significant (all P<0.001). The final content of the training course system for online appointment nurses included 4 first-level indicators,which were professional knowledge, professional skills, professional abilities and traits, 19 second-level indicators and 58 third-level indicators. Conclusions:The training course system of online appointment nurses based on post competency is scientific, reasonable and prominent,which can provide reference for training of online appointment nurses in China.