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Design and Implementation Process in a Pilot Project to Improve a Community Health Survey Using Mixed-mode Methods
Jinjoo Ko1, Kay-O Lee1, Yunmi Hwang2
1Gallup Korea, Seoul, Korea.
This pilot study evaluates a new mixed-mode survey design for the Community Health Survey. The goal is to ensure reliable data quality despite methodological changes.
Area of Science:
- Public Health
- Survey Methodology
- Data Reliability
Background:
- Traditional face-to-face interviews face limitations in evolving social contexts.
- Methodological improvements are crucial for maintaining data integrity in large-scale health surveys.
Purpose of the Study:
- To evaluate the validity and reliability of a mixed-mode survey design.
- To assess the impact of methodological changes on Community Health Survey data quality.
- To establish a foundation for improving the overall community health survey system.
Main Methods:
- A pilot project employing a mixed-mode survey design (combining face-to-face and online methods).
- Involving approximately 8,100 participants across nine public health centers nationwide.
- Data collection and refinement ongoing until December 2025.
Main Results:
- Pilot survey completion and data refinement are underway.
- Planned comparisons between pilot data and previous Community Health Survey results.
- Identification of differences between face-to-face and online survey data.
Conclusions:
- The pilot project aims to verify data validity and field applicability of the mixed-mode approach.
- Comparative analyses will identify potential data quality deterioration due to methodological shifts.
- Findings will inform countermeasures to maintain and improve survey data quality.
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