TB Screening Algorithms

Uses

How it works

Benefits

Comparisons

Highlighted claims

• WHO defines a systematic TB screening algorithm as one or more screening tests followed by a separate diagnostic evaluation for TB disease. — Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries
• The protocol pre-selected 20 algorithms for facility-based case finding and 40 for community-based case finding. — Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries
• The protocol excludes pathways that apply follow-on diagnostic tests after a negative screening result, retaining only positive concurrent and positive sequential algorithms. — Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries
• Algorithmic approaches are favoured because initial screening tests can reduce the number of expensive confirmatory tests required. — Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries
• A small reduction in diagnostic accuracy may be acceptable if a decentralised or lower-cost strategy increases overall population-level TB case detection. — Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries