Presenting and Explaining the Model of Turnover During the Covid 19 Pandemic (Case Study: Public Hospitals in Tehran)

The main purpose of this article is to identify the components of dismissal of medical staff in the event of an epidemic of viral diseases (Covid 19) and its fitness and explanation in the community of medical staff of public hospitals in Tehran.

Design/Methodology/Approach:

 The present study is one of the combined researches, the qualitative part of which was done using the content analysis method and then the quantitative part based on the pattern identified in the qualitative part. In the qualitative section, the theoretical foundations of the subject and semi-structured interviews were used. The interviews were conducted purposefully by snowball method with experts such as Miran HR and improving the quality of hospitals and experienced doctors and nurses. Completed, the number of people in the community is estimated at 14,000. The number of samples was determined according to the number of latent variables, which were 9 and the number of questions of 26 sub-themes at an error level of 0.05% of 1960, and the sampling method was cluster sampling.

As a result of data analysis, 50 selection codes, 26 sub-themes and 9 main themes were identified, which in a quantitative way was confirmed by the method of structural equation validity and accuracy of the obtained model.

Limitations & Consequences:

 The qualitative part is based on the interpretive paradigm and in this part, the mentality of researchers and their assumptions was effective in extracting principles. In a small part, the large number of members under study and the cross-sectional nature of the data make it very difficult to collect information.

Practical consequences:

 Medical staff leaving the service during the covid-19 epidemic is one of the problems of the country's medical centers, which leads to the dissatisfaction of many patients, therefore, knowing the factors of medical staff leaving the service helps to increase the quality of treatment from the medical centers.

The innovation or value of the article: 

This research has helped to identify new factors in the medical staff leaving service in public hospitals of Tehran by presenting and explaining the model of leaving the service of the medical staff during the covid-19 epidemic.Paper Type: Research Paper