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Published on: April 5, 2017
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ScreenTB: a tool for prioritising risk groups and selecting algorithms for screening for active tuberculosis.
C R Miller1, E M H Mitchell2, N Nishikiori1
1Global TB Programme, World Health Organization, Geneva, Switzerland.
Summary
ScreenTB is a new online tool designed to optimize tuberculosis (TB) screening programs. It helps National TB Programmes (NTPs) identify high-risk groups and select accurate diagnostic tools for better case detection.
Area of Science:
- Public Health
- Epidemiology
- Health Services Research
Background:
- Global tuberculosis (TB) case detection requires improved screening program implementation.
- Effective TB screening must be context-specific, targeted, and utilize accurate diagnostics.
Purpose of the Study:
- To develop an online tool, ScreenTB, for planning and modeling TB screening programs.
- To assist National TB Programmes (NTPs) in optimizing screening strategies.
Main Methods:
- ScreenTB models potential outcomes of screening programs, including case yield, costs, and cost-effectiveness.
- The tool analyzes specific populations and diagnostic algorithms.
- Case study application in Myanmar to prioritize risk groups and select screening algorithms.
Main Results:
- ScreenTB aids in prioritizing risk groups for TB screening.
- The tool assists in selecting appropriate screening algorithms to maximize case detection.
- It helps minimize false-positive diagnoses in screening programs.
Conclusions:
- ScreenTB facilitates risk group prioritization and algorithm selection for TB screening.
- The tool supports comprehensive planning considering feasibility, vulnerability, transmission impact, human rights, and equity.
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