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Published on: February 19, 2021
Cost data in implementation science: categories and approaches to costing
Heather T Gold1, Cara McDermott2, Ties Hoomans3
1NYU Langone Health, 550 First Ave, VZ30, Sixth Floor, New York, NY, 10016, USA. heather.gold@nyumc.org.
This study guides implementation researchers on accurately measuring and including costs in research. Optimizing cost data improves resource allocation decisions for evidence-based interventions.
Area of Science:
- Health Services Research
- Health Economics
- Implementation Science
Background:
- Lack of cost information is a significant barrier in implementation research.
- Traditional economic evaluations compare intervention costs and effectiveness.
- Accurate cost measurement is crucial for informed resource allocation.
Purpose of the Study:
- To optimize the measurement and inclusion of costs in implementation research.
- To guide researchers in understanding and applying economic evaluation principles.
- To enhance decision-making for resource allocation in evidence-based interventions.
Main Methods:
- Defining relevant costs and identifying data sources.
- Building on traditional economic evaluation frameworks.
- Considering decision-maker perspectives and time horizons.
Main Results:
- Opportunity costs vary by perspective and time horizon.
- Cost estimation accuracy is critical, differentiating fixed and variable costs.
- Costs encompass multiple sectors beyond healthcare, including social services and education.
Conclusions:
- Accurate cost measurement is essential for effective implementation research.
- Understanding varied cost perspectives and time horizons improves economic evaluations.
- Comprehensive cost data supports better resource allocation for interventions.
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