Turnover among Australian general practitioners: a longitudinal gender analysis

Analysis on the relationship between professional identity and turnover intention among general practitioners: The mediating role of job burnout

OBJECTIVE

We aimed to understand the current situation and contributory factors associated with professional identity, turnover intention and job burnout among general practitioners (GPs) in eastern, central and western China.

METHODS

A total of 3244 GPs from community health service institutions in 12 provinces of China were recruited, from October 2017 to February 2018. Demographic information such as sex, region and mode of employment was sought, and issues regarding job burnout, professional identity and turnover intention of GPs were measured with the corresponding scale, and softwares such as SPSS and AMOS were used. T-test, analysis of variance, and covariance matrix were used for analysis.

RESULTS

The average total scores of job burnout, turnover intention and professional identity of GPs in China were 44.12, 15.07 and 51.23, respectively. The results of intermediary effect analysis showed that in the GPs group, there were differences in the distribution of the three indicators. Professional identity had a significant negative effect on job burnout (β = -0.373), while job burnout had a significant positive effect on turnover intention (β = 0.528), and job burnout had an indirect effect in the relationship between professional identity and turnover intention. Job burnout played an intermediary role in professional identity and turnover intention.

CONCLUSIONS

The turnover intention of GPs in China has improved, but it is still at a high level. Job burnout plays an intermediary role between professional identity and turnover intention.

The mediating role of job satisfaction and presenteeism on the relationship between job stress and turnover intention among primary health care workers

BACKGROUND

Turnover problems among primary health care workers are a significant contributor to the shortage of health human resources. This study aims to determine the relationship between job stress and turnover intention among primary health care workers, as well as to examine the mediating effects of job satisfaction and presenteeism on this relationship.

METHODS

Stratified random sampling and quota sampling were used to select 703 primary health care workers in Jilin Province, China in January 2020. Validated scales were used to measure turnover intention, job stress, job satisfaction, and presenteeism among primary health care workers. The study utilized a partial least squares structural equation modeling (PLS-SEM) approach to test the research hypotheses.

RESULTS

The turnover intention score of primary health care workers in Jilin Province was 2.15 ± 1.03, and 19.5% of respondents reported a higher turnover intention. Significant sex and occupation differences were found, with a higher rate of turnover intention for male and doctor groups among primary health care workers. This study also revealed a positive correlation between job stress and turnover intention (β = 0.235, P < 0.001), a significant negative correlation between job satisfaction and turnover intention (β= -0.347, P < 0.001), and a significant positive correlation between presenteeism and turnover intention (β = 0.153, P < 0.001). Moreover, the study revealed a significant indirect effect of job stress on turnover intention which was mediated by job satisfaction (β = 0.183, P < 0.001) and presenteeism (β = 0.078, P < 0.001).

CONCLUSION

We confirmed the positive association between job stress and presenteeism with turnover intention, as well as the negative association between job satisfaction and turnover intention. Moreover, our study confirmed the mediating role of job satisfaction and presenteeism in the relationship between job stress and turnover intention. This study provides scientific evidence to address the turnover problem among primary health care workers.

Individual- and institution-level predictors of the turnover intention of medical staff among rural primary medical institutions in Xinjiang Production and Construction Corps, China: a cross-sectional multi-level analysis

Background

Primary medical staff (PMS) are the guardians of population health. However, their loss further worsens the shortage and uneven distribution of human health resources, which should be addressed immediately. This study aimed to investigate the current status of turnover intention of rural PMS in Xinjiang Production and Construction Corps (XPCC) in China and its influencing factors atthe individual and institutional levels to provide reliable baseline data for intervention strategies to protect valuable rural PMS.

Methods

Participants were recruited from rural public health institutions of the XPCC using a cross-sectional multistage sampling process. Data on participants' turnover intention and individual- and institution-level indicators were obtained through standardized electronic questionnaires and statistical reports of regional health administrative departments. The key factors influencing PMS turnover intention were identified us ingunivariateandmulti-level logistic regression analysis.

Findings

Overall, 20.5% (447/2182) of participants reported turnover intention. Univariate analysis showed that the occurrence of turnover intention was significantly influenced by marriage, education, age, year of working, monthly income, human resource management practices (HRMP), job satisfaction, per capita served population (PCSP) and number of beds (p < 0.05). Multi-level logistic regression analysis showed that bachelor's degree or above and intermediate professional title were closely related to the occurrence of turnover intention (p < 0.05), age 41-50 years old and above, high human resource management practice, and high job satisfaction effectively reduced the odds (p < 0.05). The odds of turnover intention increased by 37% (p < 0.10) for PMS in institutions with PCSP more than 250 people. In contrast, the odds of turnover intention decreased to 68% (p < 0.05) for PMS in institutions with more than 50 beds.

Conclusion

Government-run primary medical institutions face the risk of PMS turnover intention. From a personal perspective, the high-risk population fortheturnover intention was mainly the PMS with bachelor's degrees or above and intermediate professional titles. The low-risk population was the PMS with aged over 40 years, a higher evaluation of human resource management practice, and job satisfaction. From the perspective of primary medical institutions, larger institutions can reduce the turnover intention of individuals, whereas the size of the service population has the opposite effect.

Methodological considerations in establishing and maintaining longitudinal health workforce studies: Lessons learned from the WiSDOM cohort in South Africa

BACKGROUND

Health workforce cohort studies are uncommon in low-and middle-income countries (LMICs), especially those in sub-Saharan Africa.

OBJECTIVE

Describe the methodology and lessons learned from establishing and maintaining the WiSDOM (Wits longitudinal Study to Determine the Operation of the labour Market among its health professional graduates) health professional cohort study in South Africa.

METHODS

WiSDOM is a prospective longitudinal cohort study that commenced in 2017. The cohort focuses on the eight professional groups of clinical associates, dentists, doctors, nurses, occupational therapists, oral hygienists, pharmacists and physiotherapists. Annual, electronic follow-up surveys have been conducted in 2018, 2019 and 2020 with informed consent. Key steps in establishing the WiSDOM cohort include consultation, communication and marketing, stakeholder feedback, resources and infrastructure. Retention strategies consist of an electronic database, detailed cohort contact information, cohort engagement, communication and feedback, short survey tools, and appropriate incentives.

RESULTS

We obtained an overall response rate of 89.5% at baseline in 2017, 79.6% in 2018, 68.3% in 2019 and 72.8% in 2020. The largest decline in response rates is for medical doctors: 66.0% response rate in 2018, 53.2% in 2019 and 58.2% in 2020. However, for each of the three follow-up surveys, we have obtained response rates in excess of 80% for clinical associates, dentists, nurses, oral hygienists, pharmacists and physiotherapists. Since baseline, the outright refusals have remained very low at 4.7%. The multiple logistic regression analysis showed that self-identified race was the only significant socio-demographic difference between medical doctor respondents and non-respondents. Black African doctors and Indian doctors were 2.0 and 2.6 times more likely respectively to respond than White doctors (p < 0.05).

CONCLUSION

Other LMICs can learn from WiSDOM's lessons of establishing and maintaining a health professional cohort that aims to generate new knowledge for health system transformation.