Development of a clinical algorithm-based scoring system to diagnose smear-negative pulmonary tuberculosis in Sabah, Malaysia using the modified Delphi method

Chee Kuan Wong; Wai Khew Lee; Roddy Teo; Hema Ramamurthy; Jiloris F. Dony; Chin Hai Teo; Sarah Jane JC Chan; Suhashini Sivasegaran; Yao Long Lew; Ri Hui Lam; Karuthan Chinna; Giri Shan Rajahram; Timothy William; Yin Chin Chan; Jayakayatri Jeevajothi Nathan; Harish Nair; Harry Campbell; Ee Ming Khoo; Helen R. Stagg; AMASSMENT Expert Panel

doi:10.7189/jogh.16.04085

Key Points

To develop a clinical algorithm to aid in the diagnosis of smear-negative pulmonary tuberculosis (SNPTB).
Utilized the modified Delphi method
Involvement of expert opinions in algorithm development
Focused on resource-constrained settings
Potentially effective in enhancing diagnosis of SNPTB
Aims for validation in future research studies

Implication

Diagnostic algorithm aids in identifying smear-negative pulmonary tuberculosis in resource-limited settings, suggesting improved healthcare outcomes.

Abstract

This diagnostic clinical algorithm could help doctors practicing in resource-constrained settings to diagnose SNPTB. A next step for research would be the prospective validation of the algorithm.

Discussion

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Cite This Study

Wong et al. (2026) studied this question.

synapsesocial.com/papers/69bf8641f665edcd009e8d15 https://doi.org/10.7189/jogh.16.04085

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Development of a clinical algorithm-based scoring system to diagnose smear-negative pulmonary tuberculosis in Sabah, Malaysia using the modified Delphi method

Key Points

Implication

Abstract

Discussion

Cite This Study

Development of a clinical algorithm-based scoring system to diagnose smear-negative pulmonary tuberculosis in Sabah, Malaysia using the modified Delphi method

Key Points

Implication

Abstract

Discussion

Cite This Study

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