“Minimum Data Set”. “Minimum Data Set” D051: Targets TARGETS 1 Must allow to assess the current situation and to identify future imbalances vs. overall.

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Presentation transcript:

“Minimum Data Set”

D051: Targets TARGETS 1 Must allow to assess the current situation and to identify future imbalances vs. overall evaluation of the supply and the demand for healthcare. INDICATOR Coverage of future demand (comprehensive) = FUTURE SUPPLY / FUTURE DEMAND stratified by profession How to measure it?

D051: Targets TARGETS 2 Must allow to evaluate the impact of basic action to correct those imbalances. Identify major affordability aspects of HWF. First evaluation on impact of imbalances on quality. INDICATOR Affordability = FUTURE HEALTH CONSUMPTION / CURRENT HEALTH CONSUMPTION How to measure it?

D051: Targets How to measure it? 3 INDICATOR Must allow to evaluate the impact of basic action to correct those imbalances. Monitor overall coverage. Identify detailed imbalances. Identify if domestic production meets the needs. First evaluation on impact of imbalances on quality. INDICATOR Coverage of future demand (detailed) = FUTURE SUPPLY DOMESTIC + FUTURE POTENTIAL SUPPLY FROM ABROAD / FUTURE DEMAND Coverage of needs by foreign professionals today and in the future N° of professionals with foreign first qualification / Total n° of professionals How to measure it?

D051: Targets How to measure it? 4 INDICATOR Must allow to evaluate the impact of basic action to correct those imbalances. Monitor geographical variances of coverage. INDICATOR N° of professionals per inhabitant today and in the future = N° OF PROFESSIONALS / POPULATION N° of professionals per weighted inhabitant today and in the future population weighted by the consumption per age group (basic index: average of EU countries) How to measure it?

MDS D051: Supply & Demand side SUPPLY DEMAND Labour force Training Retirement Mobility - outflow Mobility - inflow Characterisation: profession / age / head count / FTE /geographical area / Specialisation / Country of first qualification Population Characterisation: age / head count / geographical area

“Handbook on Planning Methodologies”

The key planning elements in 7 planning systems GOALS -FORECASTING MODEL -DATA SET LINK TO POLICY ACTIONS ORGANISATION Belgium Denmark England Finland The Netherlands Norway Spain

Some good practices in quantitative approach BE Good practice on data collection of the supply side, with an in-depth analysis on how the process works, how data on "practicing" and "active" are collected, how FTE is calculated. NL Good practice on data collection, in particular on FTE estimation (examples, detailed description of the process, tools, etc). EN Good practice on data collection process

Some good practices in quantitative approach NL Good practice on how to assess the current imbalances: a concrete example (on general practitioners) of which indicators and standard used to estimate current imbalances DK Good practice on the supply side forecasting "easy and flexible", main aspects of the model, available tools, etc. NO Good practice on forecasting the HWF demand

Main message about quantitative approaches in the handbook Qualitative and quantitative forecasting methods in health workforce planning: A brief discussion of overarching concerns by Melanie Boeckmann Integration of qualitative and quantitative methods in workforce planning is desirable. Scenario generation for estimating future supply and demand relies on a structured qualitative method, and quantifying scenarios allows these plausible futures to be projected Examples from both methodologies can be found in this handbook