Methods for health workforce projection model: systematic review and recommended good practice reporting guideline.
John Tayu LeeIan CrettendenMy TranDaniel MillerMark CormackMegan CahillJinhu LiTomoko SugiuraFan XiangPublished in: Human resources for health (2024)
This study underscores the significance of dynamic, multi-professional, team-based, refined demand, supply, and budget impact analyses supported by robust health workforce data intelligence. The suggested best-practice reporting guidelines aim to assist researchers who publish health workforce studies in peer-reviewed journals. Nevertheless, it is expected that these reporting standards will prove valuable for analysts when designing their own analysis, encouraging a more comprehensive and transparent approach to health workforce projection modelling.
Keyphrases
- public health
- healthcare
- systematic review
- mental health
- primary care
- health information
- health promotion
- meta analyses
- quality improvement
- randomized controlled trial
- emergency department
- magnetic resonance imaging
- risk assessment
- clinical practice
- magnetic resonance
- climate change
- deep learning
- artificial intelligence
- drug induced
- image quality