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Development and Validation of a Standardized Tool for Prioritization of Information Sources
Holy Akwar1, Harold Kloeze2, Shamir Mukhi1
1Canadian Network for Public Health Intelligence, National Microbiology Laboratory, Winnipeg, Manitoba.
Online Journal of Public Health Informatics
|October 19, 2016
Summary
A new tool effectively prioritizes information sources for early disease detection, showing substantial agreement among raters. This aids in selecting reliable data for public health surveillance systems.
Area of Science:
- Public Health
- Infectious Disease Surveillance
- Information Science
Background:
- Effective early disease detection relies on timely access to accurate information.
- Prioritizing numerous information sources is crucial for efficient surveillance.
- Existing methods for source prioritization may lack standardization.
Purpose of the Study:
- To validate a standardized tool for prioritizing information sources for early disease detection.
- To assess the utility and effectiveness of this novel prioritization tool.
Main Methods:
- A standardized tool was developed with input from public health experts.
- Ten raters evaluated ten information sources using the tool.
- Inter-rater reliability was calculated using Fleiss Kappa and Kendall's Coefficient of Concordance.
Main Results:
- The tool assigned composite scores to ten information sources, with ProMed scoring highest (91%).
- Substantial agreement was found among raters, with a Fleiss Kappa of 50.7% for all sources and 72.5% for a subset.
- This agreement validates the tool's effectiveness in prioritizing information.
Conclusions:
- The study successfully validated a standardized tool for prioritizing information sources.
- The tool identified five suitable sources for the KIWI system in the CEZD-IIR project for improved infectious disease surveillance.
- The tool is generalizable for prioritizing multiple information sources in various contexts.
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