Cost-effectiveness acceptability curve (CEAC) of the different diagnostic strategies for latent tuberculosis infection.

Cost-effectiveness acceptability curve (CEAC) of the different diagnostic strategies for latent tuberculosis infection.

<p>CEAC using the net monetary benefit approach with 1000 Monte Carlo simulation showing the probability of (a) all the skin tests, TST-PPD, Diaskintest, and Cy-Tb (b) Diaskintest and TSPOT.TB being cost-effective for a range of willingness-to pay values per correct case diagnosed. The differe...

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Bibliographic Details
Main Author: Saima Bashir (9726310) (author)
Other Authors: Shehzad Ali (628091) (author), Seda Yerlikaya (13966305) (author), Mary Gaeddert (591524) (author), Lara Goscé (11485929) (author), Molebogeng X. Rangaka (9258426) (author), Claudia M. Denkinger (8790434) (author)
Published: 2024
Subjects:
Medicine
Biotechnology
Sociology
Science Policy
Infectious Diseases
Virology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
purified protein derivative
probabilistic sensitivity analysis
health system perspective
decision tree model
best performing igra
study findings reveal
tb gold plus
standard e tb
best performing skin
approximately 8 usd
tst );( b
tb outperforms qft
burden tb countries
mycobacterium tuberculosis infection
brazil </ p
burden countries
study evaluates
tb infection
tb );
new skin
among skin
74 usd
6 usd
55 usd
yet well
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two high
tbf due
tbf ))
release assays
parameter variability
feron elisa
economic value
diagnostic technologies
comparing :(
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Summary:<p>CEAC using the net monetary benefit approach with 1000 Monte Carlo simulation showing the probability of (a) all the skin tests, TST-PPD, Diaskintest, and Cy-Tb (b) Diaskintest and TSPOT.TB being cost-effective for a range of willingness-to pay values per correct case diagnosed. The different levels of thresholds (USD, 2021) are shown on X-axis and Y axis represents the represent the probability that each strategy is more cost effective. TST tuberculin skin test.</p>

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