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Leveraging National Labour and Health Data for Strategic Health Workforce Planning: Insights From Canadian Case
Huda Masoud1, Kristyn Frank1, Jungwee Park1
1Statistics Canada, Ottawa, Ontario, Canada.
High-quality national data can optimize health workforce planning by identifying shortages and stress. Leveraging Statistics Canada data helps address healthcare challenges and supports evidence-based policy.
Area of Science:
- Health Services Research
- Health Workforce Planning
- Public Health Data Analysis
Background:
- Effective health workforce planning requires high-quality, standardized national data.
- Interoperability of data from multiple sources is crucial for comprehensive analysis.
- The COVID-19 pandemic exacerbated existing challenges in the healthcare workforce.
Purpose of the Study:
- To demonstrate the utility of Statistics Canada data for health workforce planning.
- To examine persistent shortages and work-related stress among nurses and personal support workers.
- To guide health leaders in using data for strategic workforce and policy development.
Main Methods:
- Analysis of five Statistics Canada data sources.
- Three case studies focusing on healthcare workforce issues.
- Examination of data for unmet labour demand, work-related stress, and labor resources.
Main Results:
- Identified persistent shortages of nurses and personal support workers.
- Highlighted the impact of increased workload on healthcare professional stress during the pandemic.
- Demonstrated how data can reveal unmet labour demand and untapped resources like internationally educated professionals.
Conclusions:
- Statistics Canada data provides valuable insights for evidence-based health workforce planning.
- Data can inform strategies to address critical issues such as staffing shortages and professional well-being.
- Leveraging diverse data sources, including those for internationally educated professionals, is key to optimizing the health workforce.
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