From: Physician supply forecast: better than peering in a crystal ball?
Forecast strategy | Concepts | Strengths | Limitations | Countries |
---|---|---|---|---|
Supply model | To project the number of physicians required to match the current services given the likely changes in the profession (age, feminization, etc...) | • Can project physician numbers at 10–15 years with accuracy (?) | • Perpetuates current physician-to-population ratio assumed to be adequate • Does not consider the evolution of the care demand | Australia [18]* Nova Scotia, Canada [21] |
Demand model | To project the number of physicians required to match the current services given the likely changes in the demand (mainly population ageing and GDP growth) | • Can anticipate changes in health practices (e.g. new surgical techniques or drugs) and in the health system | • Perpetuates current utilization of services (SID, inappropriate services not addressed) • Assumes that MDs are the main actors and that any care is useful • Does not consider the demand for non curative services (prevention, research) and future trends • Requires huge amounts of data | |
Needs-based model | To project the number of physicians required to provide appropriate health care to the future population | • Rely on a normative approach, i.e. can avoid the perpetuation of existing inequities and inefficiencies • Can include unmet needs in the estimation process | • Requires detailed knowledge of the efficacy of individual medical services for specific conditions • Does not account for technological developments and changes in the organization of health services • The assumption that health care resources will be used in accordance with relative levels of need is not necessarily verified • Ignores the question of the efficiency in the allocation of resources between different sectors of the society | Australia [30] |
Benchmarking | To refer to a current best estimate of a reasonable physician workforce | • Realistic | • Is valid only if communities and health plans are comparable, i.e. adjusted for key demographic, health and health system parameters • Often does not document the extrapolation methodology sufficiently (e.g. unclear criteria for selecting the reference) |