Developing and testing a cost data collection instrument for noncommunicable disease registry planning
Sujha Subramanian1, Florence Tangka2, Patrick Edwards1
1RTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC, USA.
Developing a cost tool for noncommunicable disease registries is crucial. Registry costs vary significantly due to multiple factors, making a single estimate infeasible.
Area of Science:
- Health Economics
- Public Health Surveillance
- Registry Science
Background:
- Economic evaluation of noncommunicable disease registries is essential for resource allocation.
- Standardized methods are needed to guide cost assessments for disease registries.
- Existing economic evaluation frameworks for registries are limited.
Purpose of the Study:
- To develop and validate a framework and tool for economic evaluation of noncommunicable disease registries.
- To assess the feasibility and quality of cost data collection using the developed tool.
- To identify factors influencing the operational costs of disease registries.
Main Methods:
- Developed the International Registry Costing Tool (IntRegCosting Tool) based on economic principles.
- Conducted in-depth case studies and pilot testing in 11 registries across multiple countries.
- Utilized site visit interviews and data analysis to evaluate the tool's performance.
Main Results:
- Registries successfully used the IntRegCosting Tool to allocate expenditures to specific activities.
- Accurate estimation of labor costs, the largest expenditure, was verified.
- Identified key cost-influencing factors: geographic area, data collection methods, local costs, rural presence, case volume, record consolidation, and funding continuity.
Conclusions:
- A single cost estimate for registry operations is not feasible due to inherent variability.
- Registry operational efficiency can be improved by modifying factors like data collection approaches.
- Findings will guide future economic data collection and cost-effectiveness analyses, particularly in low- and middle-income countries (LMICs).
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