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HUANG Qiankun, YIN E. Analysis of influencing factors of turnover intention among psychological counseling practitioners: a case study in Yichang City, Hubei Province[J]. Occupational Health and Emergency Rescue, 2024, 42(2): 216-221. DOI: 10.16369/j.oher.issn.1007-1326.2024.02.016
Citation: HUANG Qiankun, YIN E. Analysis of influencing factors of turnover intention among psychological counseling practitioners: a case study in Yichang City, Hubei Province[J]. Occupational Health and Emergency Rescue, 2024, 42(2): 216-221. DOI: 10.16369/j.oher.issn.1007-1326.2024.02.016

Analysis of influencing factors of turnover intention among psychological counseling practitioners: a case study in Yichang City, Hubei Province

  • Objective To understand the factors related to turnover intention among psychological counseling practitioners and provide reference for human resource management decision-making in the psychological profession.
    Methods From September to October 2022, taking Yichang City as an example, a stratified sampling method was used to distribute 145 questionnaires to psychological counseling practitioners in various counties and cities.The perceived stress scale (PSS), the Maslach burnout inventory-general survey (MBI-GS), the Connor-Davidson resilience scale (CD-RISC), and the turnover intention questionnaire (TIQ) were used to investigate the subjects'perceived stress, occupational burnout, psychological resilience, and turnover intention, respectively.Logistic regression model was used to analyze the factors related to turnover intention.
    Results A total of 138 valid questionnaires were collected, with an effective recovery rate of 95.2%.The mean score of the psychological resilience scale was (66.64 ± 14.94) points.87 people (63.0%) felt moderate or above stress; 38 people (27.5%) had a certain degree or above of occupational burnout.The rates of turnover intention, in order of very low, low, high, and very high, were 6.5%(9 people), 37.7%(52 people), 44.9%(62 people), and 10.9%(15 people), respectively.The logistic regression analysis showed that, compared with those who were satisfied with salary, the probability of high turnover intention among those who were dissatisfied with salary increased to 2.955 times (P < 0.05).For every 1-point increase in the occupational burnout score, the possibility of high turnover intention increased to 1.039 times (P < 0.05).
    Conclusions The influencing factors of turnover intention among psychological counseling practitioners were different from those of many other industries, which may be related to the uniqueness of the psychological counseling industry.Improving salary satisfaction and reducing occupational burnout are of great significance for maintaining a stable workforce of psychological counseling practitioners.
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