What location tells us about the motivation of frontline medical volunteers in Ebonyi State
USAID Health Workforce Management Activity
Establishing a cost‐effective, well-trained, and motivated health workforce in Nigeria
The reliance on the traditional heat and choropleth descriptive maps can introduce subjectivity and bias into the analysis and presentation of public health data. The decisions made by public health decision-makers therefore need more rigorous analysis. In this paper, motivation data collected from medical volunteers in Ebonyi State, southeast Nigeria, is used to illustrate how relying solely on such maps can potentially mislead public health decision-makers, causing serious implications for project planning, implementation, and cost. The paper highlights how the application of spatial statistics functions within Geographic Information Systems (GIS) can help public health managers avoid such pitfalls.
With the increasing demand for greater efficiency and effectiveness in public health interventions, the paper showcases how the use of geographic cluster and outlier analysis assisted the USAID/Nigeria’s Health Workforce Management (HWM) Activity in identifying wards to conduct further investigations about motivation among frontline medical volunteers. The paper is aimed at raising awareness among public health practitioners and decision-makers about the availability of advanced GIS analytical tools. With the target audience in mind, the paper does not delve deeply into the technical details of spatial statistical analyses.
Overall, the paper emphasizes the importance of using advanced GIS analytical tools to enhance decision-making processes in public health, thereby improving the efficiency and effectiveness of interventions aimed at addressing healthcare challenges. The insights that the HWM Activity has gathered from the analysis are crucial for better identification of the areas to gather more useful perspectives to motivating medical volunteers, especially in the face of the challenges around health workforce recruitment.
To read more or find out about our Project, please visit https://banyanglobal.com/project/nigeria-health-workforce-management-hwm-activity/
Banyan Global Anddy Omoluabi, PhD Olufolake Akeju Renee Fuentes Jason Taylor WRIGHT Kelly Blewitt, MSW, LMSW Sylvester Adefemi Akande USAID IHI Abt Associates
Public Health Program Management | RMNCH | Health Systems | Private Sector
11 个月Thanks for sharing. I would love to read the full paper. Can you share the link?
International Development | Health Systems | Project Management
11 个月Good read - I believe it’s past time for development partners and practitioners to truly buy-in to the use of spatial analysis and GIS to improve planning and resource allocation.