Pace-HRH

  • Healthcare systems & outcome surveillance

    Understanding how delivery systems improve health outcomes and where they fail to do so is critical for increasing their efficiency and efficacy.  All aspects of global health, from eradication efforts to outbreak control to good nutrition, rely on properly functioning healthcare delivery systems. IDM uses quantitative methodology to support system improvement, including improving methods for…

  • PACE-HRH

    PACE-HRH simulates the healthcare needs of a given population so you can more effectively plan what healthcare worker resources will be necessary to provide a wide range of healthcare services. The model is configured via Excel sheets and run via an R script.

  • Implementation and applications of PACE-HRH, a stochastic workload model of human resources for health

    Background Effective healthcare systems need adequate numbers of well-trained human resources for health (HRH). To support evidence-based strategic planning, modeling is sometimes used to estimate the number of required health workers and to allocate them appropriately. However, despite the demonstrated utility of models, there are several limitations to existing tools, including the inability to reflect…

  • One size does not fit all: an application of stochastic modeling to estimating primary healthcare needs in Ethiopia at the sub-national level

    Background: Primary healthcare systems require adequate staffing to meet the needs of their local population. Guidelines typically use population ratio targets for healthcare workers, such as Ethiopia’s goal of two health extension workers for every five thousand people. However, fixed ratios do not reflect local demographics, fertility rates, disease burden (e.g., malaria endemicity), or trends…