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Overview of Human Resources for Health Projection Models

Overview of Human Resources for Health Projection Models. December 13, 2007 Pamela A. McQuide, R.N., Ph.D. Objectives. To identify strengths and weaknesses of supply and demand approaches To review methods of analysis for forecasting To discuss criteria for good projection model

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Overview of Human Resources for Health Projection Models

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  1. Overview of Human Resources for Health Projection Models December 13, 2007 Pamela A. McQuide, R.N., Ph.D.

  2. Objectives • To identify strengths and weaknesses of supply and demand approaches • To review methods of analysis for forecasting • To discuss criteria for good projection model • To identify existing computer based projection models

  3. Why is it important to develop a HRH projection model? • Right health worker, with the right knowledge, skills and attitudes, right place at the right time to care for the health needs of the population • MDGs have certain targets for health outcomes (maternal outcomes, HIV, malaria, TB) • Over 60-80% of national health budgets pay for human resources for health

  4. Approaches to estimate HRH requirements (Hall & Mejja (1978); Markham & Birch (1997) and O’Brien-Pallas et al 2001) • Needs-based • Estimates future requirements based on estimated health deficits of population • Assumption: All health needs can and should be met and resources used according to need. • Advantage: Addresses health needs using a mix of HRH and it is independent of utilization • Limitation: Ignores question of efficiency in allocation of resources, requires extensive data and, if technology changes, requires new norms

  5. Utilization-based (demand based) • Estimates future requirements based on current level of service utilization related to future projection of demographic profiles • Assumption: Current level, mix, distribution of health services is appropriate; age and sex requirements constant; population changes are predictable • Advantage: Sets economically feasible targets due to little or no change in population • Limitation: Produces status quo prediction; requires lots of data; overlooks errors from assumptions

  6. Health worker to population Specifies desired health worker to population ratio Assumption: Often based on current best region ratio or reference country with a similar or more developed health sector Advantage: Quick, easy to apply and understand Limitation: No insight into personnel utilization; no interaction between numbers, mix, productivity; base year maldistribution will continue in target year

  7. Service target-based • Sets targets for production and delivery of specific outcome oriented health services; converts targets into HRH requirements for staffing and productivity standards • Assumptions: Assumes standards for each service covered are practicable and can be achieved within timescale and projection • Advantages: Relatively easy and understandable. Can assess interaction between variables • Limitations: Potentially unrealistic assumptions

  8. Adjusted service target approach • Identifies service needs based on epidemiological and demographic profile; identifies tasks and skills required for evidence-based intervention based on functional job analysis; estimates time requirements for each intervention from time-motion or expert opinion and translates information into FTEs. • Assumption: Effective evidence-based interventions can be delivered in all settings and conditions • Advantages: Useful for specific programs and to identify training needs; goes toward competency based training • Limitations: Detailed workflow studies or expert opinion; can only be achieved with infrastructure, supplies & logistics

  9. Facility based – 5 ways to group nurse workforce planning systems (Hurst, 2002) Simple to complex • Professional judgment (Telford approach) • Uses expert health care professional judgment about the size and mix of nursing teams • Nurses per occupied bed (top-down) • Acuity-quality (bottom-up) • Sensitive to the number and mix of patients

  10. Cont.’d • Timed-task/activity approach • Regression analysis

  11. Forecasting methods used • Borrow from demography, epidemiology, economics and industrial engineering. • Future HR requirements are impacted by demography, epidemiology, standards of care and productivity

  12. Several forecasting methods:Population-based • Basic, low, and high projections • Basic assumption is that factors affecting supply would follow current demographic and utilization rates • Many adjustments have been made for attrition by age, part-time/full-time, costs of education, types of procedures…. • Generally assume production and utilization patterns will remain stable Limitations: Changes in supply or demand factors will distort forecast

  13. Econometric models • Complex econometric models take into account factors such as: • Stock, wages • Demand based on vacancies, population and census • Useful for examining relationships between stock, wages, demand and budgets • Limitations: population health needs not taken into account, impact policy, budget pressures, or changes health system

  14. Simulation models • More flexible and able to model real-world system over time, based on mathematical or logical relations. • Model run repeatedly to get an estimate of how the system would behave under different hypotheses related to model parameters • Analyze “what-if” • Costly to implement, detailed data required

  15. Example simulation model China (Song and Rathwell, 1994) • Simulation model consisted of three sub-models • Population projections • Estimation of demand for medical services • Productivity of health services • Produced three estimates based on low and high limits

  16. Why is the type of model important • Canada (Birch et al 1994) compared across several conceptual models in Canada to estimate nurse requirements: • Needs model (70,808) • Utilization /demand (112,000 nurses) Forecasting model can produce highly varied recommendations

  17. Several projection models will be explored • WHO projection/simulation model (Tom Hall/Peter Hornby) • WHO estimates to meet IHTP (cluster working group) • Finland model – long term labor force model

  18. Recommended criteria for good projection model • Clear formulation of objectives and problems to be solved • Issues/problems must be formulated in a quantifiable manner • Data of acceptable quality must be available or collected • Responsible parties must check regularly on projections that they have been used and are updated • Planning horizon timelines must be sufficient to be able to take action to solve identified problems

  19. Considerations • The application of workforce forecasting the policy and training requires projections be for at least 10 years, but that planners should not act on projections beyond 2 or 3 years. (Hall, 1988) • Broad range of factors that need to be considered: population characteristics influence need for health care, ways population uses health care, ways health professionals provide care, others who provide similar or same services, population health (O’Brien-Pallas and Baumann, 2000).

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