Factors Associated with Primary Care Provider's Job Satisfaction and Organizational Commitment in China: A Machine...

Area of Science:

• Health Policy
• Occupational Health
• Public Health

Background:

• Primary care providers in China faced unique challenges during the COVID-19 pandemic.
• Understanding factors influencing their job satisfaction and organizational commitment is crucial for healthcare system stability.

Purpose of the Study:

• To investigate the key drivers of job satisfaction and organizational commitment among Chinese primary care providers.
• To assess the specific impacts of the COVID-19 pandemic and policy changes on these providers.

Main Methods:

• Utilized the Minnesota Satisfaction Questionnaire (MSQ) and an organizational commitment survey.
• Collected data from 435 primary care providers in China.
• Employed machine learning (random forest models) to identify influential factors.

Main Results:

• Income change, working years, current institute tenure, and age were the most significant factors.
• The number of professional fields, gender, job status, and insurance type showed minimal association.
• Income remained a primary concern during the pandemic, while job security's importance diminished.

Conclusions:

• Financial incentives and bonuses can effectively enhance primary care provider morale.
• Tailored motivation strategies considering age-specific needs are recommended.
• Policy interventions should address income-related concerns to improve job satisfaction and commitment.