McLaughlin and McLaughlin (2024) suggest, “the health policy team must understand technology by which each policy alternative would achieve its outcomes. This is necessary in this stage of formative evaluation and later in the health policy analysis cycle for implementation planning” (p.91).
Regarding “each” of the following five forecasting methods:
Gathering Expert Opinions
Time Series Analysis
Surveying and Sampling
Correlational and Causal Modeling
Simulation and System Modeling
Note: You should not write in first person.
Describe techniques that can reduce the concerns about the dominance of one or two individuals in the forecasting process (Gathering Expert Opinions).
Define time series analysis, historical data, and possible software alternative models to time series analysis (Time Series Analysis).
Describe two pros and two cons of implementing clinical trials and survey data (Surveying and Sampling).
Explain the relationship between correlation and causation within regression analysis (Correlational and Causal Modeling).
Explain why it is important to forecast the impact of medical advancements and the resulting changes in the health care organization and financing of healthcare delivery (Simulation and System Modeling).
The Health Technology Assessment Process paper
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