Podcast
Questions and Answers
Which method is the most accurate for determining intervention costs?
Which method is the most accurate for determining intervention costs?
What is the challenge in determining the cost of HSIIs?
What is the challenge in determining the cost of HSIIs?
What is the recommended approach when making assumptions in the evaluation report?
What is the recommended approach when making assumptions in the evaluation report?
Which method can be used to relate process measures to health outcomes?
Which method can be used to relate process measures to health outcomes?
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What is the challenge in calculating the economic impact from the societal perspective in low-income settings?
What is the challenge in calculating the economic impact from the societal perspective in low-income settings?
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Which tool offers estimates for many priority health interventions?
Which tool offers estimates for many priority health interventions?
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Which method is often more feasible and accurate than measuring patient health outcomes in HSIIs?
Which method is often more feasible and accurate than measuring patient health outcomes in HSIIs?
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What can be complex when costing the effects for medical error reduction?
What can be complex when costing the effects for medical error reduction?
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Which methods can be used to address uncertainty in the link between processes and outcomes?
Which methods can be used to address uncertainty in the link between processes and outcomes?
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Study Notes
- In HSIIs, measuring process measures is often more feasible and accurate than measuring patient health outcomes.
- It can be difficult to determine the cost of HSIIs due to lack of fidelity and protective commercial interests.
- Prospective data collection is the most accurate method for determining intervention costs.
- Assumptions need to be stated explicitly in the evaluation report.
- Costing of effects for medical error reduction can be complex and involve multiple health outcomes.
- Economic impact from the societal perspective may be difficult to calculate in low-income settings.
- Primary data collection can be expensive and challenging.
- Epidemiological modeling can be used to relate process measures to health outcomes.
- The Lives Saved Tool (LiST) offers estimates for many priority health interventions.
- Sensitivity analysis and Monte Carlo simulation can be used to address uncertainty in the link between processes and outcomes.
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Description
Explore challenges and methods for cost evaluation of Health Service Implementation Interventions (HSIIs), including prospective data collection, assumptions in evaluation reports, and economic impact calculations. Learn about using epidemiological modeling and tools like the Lives Saved Tool (LiST) in assessing health interventions.
