The PACE-HRH model (Population-Aware Capacity Estimator for Human Resources for Health) estimates the number of healthcare workers required, by cadre and year, to meet service delivery targets. It runs multi-year simulations, to anticipate how staffing ratios need to evolve in response to demographic and epidemiological changes over time. Users can rapidly examine the impact of alternative service delivery packages, population coverage targets, and changes to delivery models such as task shifting and outreach. This Monte Carlo simulation model is user-friendly, configured through Excel, and run in R, making it accessible and a practical tool for both researchers and planners.
Features
Features of PACE-HRH include:
- Modeling of healthcare service demand and required resources.
- Straightforward user interface.
- Data input via Excel template.
- Incorporation of seasonality (e.g., for malaria).
- Easy scenario analysis.
- Flexible service package & year-dependent coverage targets.
- Consideration of cadre skillsets and referral processes.
- Customizable results.
Our approach
Our approach with PACE-HRH is to provide a practical and accessible tool that enables healthcare planners to make data-driven decisions about resource allocation.
