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Comparing multidrug-resistant tuberculosis patient costs under molecular diagnostic algorithms in South Africa

Authors :
Rory Dunbar
Jason Madan
Nulda Beyers
R. Machekano
E. du Toit
Stephen Bertel Squire
Pren Naidoo
Source :
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease. 19(8)
Publication Year :
2015

Abstract

SETTING: Ten primary health care facilities in Cape Town, South Africa, 2010–2013.\ud \ud OBJECTIVE: A comparison of costs incurred by patients in GenoType® MDRTBplus line-probe assay (LPA) and Xpert® MTB/RIF-based diagnostic algorithms from symptom onset until treatment initiation for multidrug-resistant tuberculosis (MDR-TB).\ud \ud METHODS: Eligible patients identified from laboratory and facility records were interviewed 3–6 months after treatment initiation and a cost questionnaire completed. Direct and indirect costs, individual and household income, loss of individual income and change in household income were recorded in local currency, adjusted to 2013 costs and converted to $US.\ud \ud RESULTS: Median number of visits to initiation of MDR-TB treatment was reduced from 20 to 7 (P < 0.001) and median costs fell from US$68.1 to US$38.3 (P = 0.004) in the Xpert group. From symptom onset to being interviewed, the proportion of unemployed increased from 39% to 73% in the LPA group (P < 0.001) and from 53% to 89% in the Xpert group (P < 0.001). Median household income decreased by 16% in the LPA group and by 13% in the Xpert group.\ud \ud CONCLUSION: The introduction of an Xpert-based algorithm brought relief by reducing the costs incurred by patients, but loss of employment and income persist. Patients require support to mitigate this impact.

Details

ISSN :
18157920
Volume :
19
Issue :
8
Database :
OpenAIRE
Journal :
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
Accession number :
edsair.doi.dedup.....26d4a226815f6e5a9a5393f9895ce4f9