16 Dec Applying a Next-Generation Approach to Comprehensive Planning for Human Resources for Health in Ghana
Global estimates reveal a growing disparity between supply and demand of health workers in the coming decade; a disproportion which will be highest in low-and middle-income countries. What can nations do to prepare for or even offset this imbalance? Can a country’s health workforce transform to better respond to factors like an ageing population, a mounting burden of chronic diseases, and tight constraints on health budgets?
HRH2030 created a new econometric model – the Comprehensive HRH Assessment, Modeling, and Planning Solution (CHAMPS) – to measure the impact of economic, epidemiological, and demographic (EED) transitions on the health labor market, including physicians, nurses/midwives, and community health workers. By exploring the forces influencing health worker supply and demand, this model allows us to provide HRH projections and offer insight to what government decision-makers and planners must do to prepare for health labor market changes that lie ahead. The CHAMPS methodology, based on the analysis of HRH and EED data from 84 LMICs, is described in the full technical report, Improving Human Resource Forecasting for Healthcare Services: Global Implications of a Next-Generation Planning Solution. A summary version of that full report is also available.
This brief, Applying a Next-Generation Approach to Comprehensive Planning for Human Resources for Health in Ghana, presents the analysis from applying the CHAMPS methodology to a single country, Ghana. Unlike earlier HRH projections, CHAMPS produces estimates of HRH supply and demand at the country level by including several country specific EED factors in the analysis. This gives policymakers specific information about the most influential EED factors that will drive HRH demand over the coming decade in Ghana. With additional data, CHAMPS can address issues such as increased productivity through technological advances and shifts in healthcare delivery models.
Illustrating how CHAMPS can be applied at a country level, the Ghana example can be replicated for any number of countries with similar data availability.
Resource Type: Report
Topic: Skill mix and competencyDOWNLOAD