Comparison of clinical and cost-effectiveness of two strategies using mobile digital x-ray to detect pulmonary tuberculosis in rural India View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-01-22

AUTHORS

Bornali Datta, Ashish Kumar Prakash, David Ford, Praveen K. Tanwar, Pinky Goyal, Poulomi Chatterjee, Smita Vipin, Anand Jaiswal, Naresh Trehan, Kavita Ayyagiri

ABSTRACT

BACKGROUND: Medanta - The Medicity, a multi-super specialty corporate hospital in Gurugram, Haryana launched a "TB-Free Haryana" Campaign; mobile van equipped with a digital CXR machine to screen patients with presumptive Tuberculosis (TB). OBJECTIVES: In this study, we aimed to assess the (1) yield and cost analysis of two strategies using mobile digital x-ray to detect Pulmonary TB in rural Haryana. METHODS: An observational study was conducted on all individuals screened by either of the two case finding strategies using a mobile x-ray unit (MXU) mounted on a mobile van in District Mewat, Haryana during Jan-March 2016. RESULTS: Strategy 1: Out of 121 smear negative cases, x-rays were suggestive of TB in 39(32%), of which 24 were started on TB treatment. Cost of identifying a smear negative TB was US$ 32. Strategy 2: Out of 596 presumptive TB, chest x-rays were suggestive of TB in 108 (18%), of which 67 were started on TB treatment (56 were smear negative TB). Cost of detecting any case of TB was US$ 08 (1 USD = 64 INR). CONCLUSION: The study reports a new initiative within a PPM model to improve the diagnosis of PTB by filling the gap in the current diagnostic infrastructure. We believe there is potential for replication of strategy 2 model in other states, although further evidence is required. More... »

PAGES

99

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12889-019-6421-1

DOI

http://dx.doi.org/10.1186/s12889-019-6421-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111593668

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30669990


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