An on-line interactive interviewing program for epidemiological studies

Area of Science:

• Epidemiology
• Health Informatics
• Computer Science

Background:

• Large-scale epidemiological studies often rely on telephone interviews for data collection.
• Traditional methods can be labor-intensive and prone to data entry errors.
• Efficient data management is crucial for timely and accurate epidemiological research.

Purpose of the Study:

• To introduce the on-line interactive verification and entry system (OLIVES).
• To describe OLIVES's capabilities for enhancing telephone interview data collection and analysis.
• To evaluate the advantages and disadvantages of an on-line approach to interview data management.

Main Methods:

• Development of the on-line interactive verification and entry system (OLIVES).
• Implementation of a question stack for dynamic control of interview flow.
• Support for multiple data types (numerical, coded, text) and a hierarchical data structure.
• Automatic coding of responses into a computer-legible format.

Main Results:

• OLIVES facilitates automated data coding for epidemiological studies.
• The system allows for on-line response modification and flexible question order changes.
• A multilevel hierarchical data structure supports complex interview content.
• The system is generalizable for various on-line and off-line interview scenarios.

Conclusions:

• OLIVES offers an efficient and flexible solution for telephone interview data collection in large-scale epidemiological research.
• The system enhances data accuracy and analysis readiness through automated coding and structured data management.
• OLIVES demonstrates the benefits of on-line interactive systems for improving epidemiological study efficiency.