Literature DB >> 33376100

Field sales force model to increase adoption of a novel tuberculosis diagnostic test among private providers: evidence from India.

Sarang Deo1,2, Pankaj Jindal2, Manisha Sabharwal3, Aparna Parulkar3, Ritu Singh3, Rigveda Kadam3, Harkesh Dabas3, Puneet Dewan4.   

Abstract

BACKGROUND: Impact of novel high-quality tuberculosis (TB) tests such as Xpert MTB/RIF has been limited due to low uptake among private providers in high-burden countries including India. Our objective was to assess the impact of a demand generation intervention comprising field sales force on the uptake of high-quality TB tests by providers and its financial sustainability for private labs in the long run.
METHODS: We implemented a demand generation intervention across five Indian cities between October 2014 and June 2016 and compared the change in the quantity of Xpert cartridges ordered by labs in these cities from before (February 2013-September 2014) to after intervention (October 2014-December 2015) to corresponding change in labs in comparable non-intervention cities. We embedded this difference-in-differences estimate within a financial model to calculate the internal rate of return (IRR) if the labs were to invest in an Xpert machine with or without the demand generation intervention.
RESULTS: The intervention resulted in an estimated 60 additional Xpert cartridges ordered per lab-month in the intervention group, which yielded an estimated increase of 11 500 tests over the post-intervention period, at an additional cost of US$13.3-US$17.63 per test. Further, we found that investing in this intervention would increase the IRR from 4.8% to 5.5% for hospital labs but yield a negative IRR for standalone labs.
CONCLUSIONS: Field sales force model can generate additional demand for Xpert at private labs, but additional strategies may be needed to ensure its financial sustainability. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  diagnostics and tools; health services research; health systems; public health; tuberculosis

Mesh:

Year:  2020        PMID: 33376100      PMCID: PMC7778745          DOI: 10.1136/bmjgh-2020-003600

Source DB:  PubMed          Journal:  BMJ Glob Health        ISSN: 2059-7908


  39 in total

1.  Tuberculosis diagnosis--time for a game change.

Authors:  Peter M Small; Madhukar Pai
Journal:  N Engl J Med       Date:  2010-09-01       Impact factor: 91.245

2.  The effects and role of direct-to-physician marketing in the pharmaceutical industry: an integrative review.

Authors:  Puneet Manchanda; Elisabeth Honka
Journal:  Yale J Health Policy Law Ethics       Date:  2005

3.  Modeling the impact of alternative strategies for rapid molecular diagnosis of tuberculosis in Southeast Asia.

Authors:  Amanda Y Sun; Madhukar Pai; Henrik Salje; Srinath Satyanarayana; Sarang Deo; David W Dowdy
Journal:  Am J Epidemiol       Date:  2013-10-07       Impact factor: 4.897

4.  Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial.

Authors:  Grant Theron; Lynn Zijenah; Duncan Chanda; Petra Clowes; Andrea Rachow; Maia Lesosky; Wilbert Bara; Stanley Mungofa; Madhukar Pai; Michael Hoelscher; David Dowdy; Alex Pym; Peter Mwaba; Peter Mason; Jonny Peter; Keertan Dheda
Journal:  Lancet       Date:  2013-10-28       Impact factor: 79.321

5.  Treatment outcomes, diagnostic and therapeutic impact: Xpert vs. smear. A systematic review and meta-analysis.

Authors:  T Agizew; R Boyd; A F Auld; L Payton; S L Pals; P Lekone; V Chihota; A Finlay
Journal:  Int J Tuberc Lung Dis       Date:  2019-01-01       Impact factor: 2.373

Review 6.  Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults.

Authors:  Karen R Steingart; Ian Schiller; David J Horne; Madhukar Pai; Catharina C Boehme; Nandini Dendukuri
Journal:  Cochrane Database Syst Rev       Date:  2014-01-21

Review 7.  Xpert MTB/RIF - why the lack of morbidity and mortality impact in intervention trials?

Authors:  Andrew F Auld; Katherine L Fielding; Ankur Gupta-Wright; Stephen D Lawn
Journal:  Trans R Soc Trop Med Hyg       Date:  2016-09-16       Impact factor: 2.184

8.  The impact of providing rapid diagnostic malaria tests on fever management in the private retail sector in Ghana: a cluster randomized trial.

Authors:  Evelyn K Ansah; Solomon Narh-Bana; Harriet Affran-Bonful; Constance Bart-Plange; Bonnie Cundill; Margaret Gyapong; Christopher J M Whitty
Journal:  BMJ       Date:  2015-03-04

9.  The importance of implementation strategy in scaling up Xpert MTB/RIF for diagnosis of tuberculosis in the Indian health-care system: a transmission model.

Authors:  Henrik Salje; Jason R Andrews; Sarang Deo; Srinath Satyanarayana; Amanda Y Sun; Madhukar Pai; David W Dowdy
Journal:  PLoS Med       Date:  2014-07-15       Impact factor: 11.069

Review 10.  Why are inaccurate tuberculosis serological tests widely used in the Indian private healthcare sector? A root-cause analysis.

Authors:  Szymon Jarosławski; Madhukar Pai
Journal:  J Epidemiol Glob Health       Date:  2012-02-01
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