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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
System dynamics modeling for general practitioner workforce forecasting in Kazakhstan
B Koichubekov1, A Kharin1, M Sorokina1
1Department of Informatics and Biostatistics, Karaganda Medical University, Karaganda, Kazakhstan.
Kazakhstan faces a worsening primary care physician shortage, projected to exceed 2,000 doctors by 2030. Urgent human resource planning and incentives for medical graduates are needed to address this critical gap in general practice.
Area of Science:
- Health Services Research
- Public Health Policy
- Workforce Planning
Background:
- Primary health care is crucial for current and future health challenges.
- System Dynamics modeling can analyze complex health system dynamics.
- Understanding workforce needs is vital for effective healthcare delivery.
Purpose of the Study:
- To model the population and General Practitioner (GP) workforce in Kazakhstan.
- To forecast primary health care personnel resources until 2030.
- To identify potential shortages and inform policy.
Main Methods:
- Developed a System Dynamics model using Any Logic software.
- Incorporated population demographics, disease prevalence, and medical worker flow.
- Examined three distinct scenarios for workforce forecasting.
Main Results:
- All scenarios predict an exacerbated shortage of primary care physicians.
- The deficit could exceed 2,000 GPs for a population of 18.3 million (2018).
- Current medical graduate trends indicate a worsening supply-demand imbalance.
Conclusions:
- The projected doctor shortage necessitates immediate human resource planning.
- Only one-third of Kazakhstani medical graduates enter primary care.
- Government intervention is required to incentivize GPs and support young doctors.
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