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Leveraging Patients' Social Networks to Overcome Tuberculosis Underdetection: A Field Experiment in India

Author

Listed:
  • Goldberg, Jessica

    (University of Maryland)

  • Macis, Mario

    (The Johns Hopkins Carey Business School)

  • Chintagunta, Pradeep

    (University of Chicago)

Abstract

Peer referrals are a common strategy for addressing asymmetric information in contexts such as the labor market. They could be especially valuable for increasing testing and treatment of infectious diseases, where peers may have advantages over health workers in both identifying new patients and providing them credible information, but they are rare in that context. In an experiment with 3,182 patients at 128 tuberculosis (TB) treatment centers in India, we find peers are indeed more effective than health workers in bringing in new suspects for testing, and low-cost incentives of about $US 3 per referral considerably increase the probability that current patients make referrals that result in the testing of new symptomatics and the identification of new TB cases. Peer outreach identifies new TB cases at 25%-35% of the cost of outreach by health workers and can be a valuable tool in combating infectious disease.

Suggested Citation

  • Goldberg, Jessica & Macis, Mario & Chintagunta, Pradeep, 2018. "Leveraging Patients' Social Networks to Overcome Tuberculosis Underdetection: A Field Experiment in India," IZA Discussion Papers 11942, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp11942
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    References listed on IDEAS

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    1. Niruparani Charles & Beena Thomas & Basilea Watson & Raja Sakthivel M. & Chandrasekeran V. & Fraser Wares, 2010. "Care Seeking Behavior of Chest Symptomatics: A Community Based Study Done in South India after the Implementation of the RNTCP," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-6, September.
    2. Miller, Grant & Luo, Renfu & Zhang, Linxiu & Sylvia, Sean & Shi, Yaojiang & Foo, Patricia & Zhao, Qiran & Martorell, Reynaldo & Medina, Alexis & Rozelle, Scott, 2012. "Effectiveness of provider incentives for anaemia reduction in rural China: a cluster randomised trial," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 345, pages 1-10.
    3. Lori Beaman & Niall Keleher & Jeremy Magruder, 2018. "Do Job Networks Disadvantage Women? Evidence from a Recruitment Experiment in Malawi," Journal of Labor Economics, University of Chicago Press, vol. 36(1), pages 121-157.
    4. Lori Beaman & Jeremy Magruder, 2012. "Who Gets the Job Referral? Evidence from a Social Networks Experiment," American Economic Review, American Economic Association, vol. 102(7), pages 3574-3593, December.
    5. Kugler, Adriana D., 2003. "Employee referrals and efficiency wages," Labour Economics, Elsevier, vol. 10(5), pages 531-556, October.
    6. Alan T. Sorensen, 2006. "Social learning and health plan choice," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 929-945, December.
    7. Michael Kremer & Edward Miguel & Rebecca Thornton, 2009. "Incentives to Learn," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 437-456, August.
    8. Balat, Jorge & Papageorge, Nicholas W. & Qayyum, Shaiza, 2017. "Positively Aware? Conflicting Expert Reviews and Demand for Medical Treatment," IZA Discussion Papers 10919, IZA Network @ LISER.
    9. David Godes & Dina Mayzlin, 2009. "Firm-Created Word-of-Mouth Communication: Evidence from a Field Test," Marketing Science, INFORMS, vol. 28(4), pages 721-739, 07-08.
    10. Emily Oster & Rebecca Thornton, 2012. "Determinants Of Technology Adoption: Peer Effects In Menstrual Cup Take-Up," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1263-1293, December.
    11. Shing-Yi Wang, 2013. "Marriage Networks, Nepotism, and Labor Market Outcomes in China," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 91-112, July.
    12. Alan T. Sorensen, 2006. "Social learning and health plan choice," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 929-945, December.
    13. Pope, Devin G., 2009. "Reacting to rankings: Evidence from "America's Best Hospitals"," Journal of Health Economics, Elsevier, vol. 28(6), pages 1154-1165, December.
    14. Andreoni, James, 1990. "Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving?," Economic Journal, Royal Economic Society, vol. 100(401), pages 464-477, June.
    15. Stephen V. Burks & Bo Cowgill & Mitchell Hoffman & Michael Housman, 2015. "The Value of Hiring through Employee Referrals," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(2), pages 805-839.
    16. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
    17. Mitchell Hoffman, 2017. "The value of hiring through employee referrals in developed countries," IZA World of Labor, Institute of Labor Economics (IZA), pages 369-369, June.
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    Cited by:

    1. Lnu,Anukriti & Herrera-Almanza,Catalina & Karra,Mahesh Venkat, 2022. "Bring a Friend : Strengthening Women’s Social Networks and Reproductive Autonomy in India," Policy Research Working Paper Series 10107, The World Bank.
    2. Rubli, Adrian, 2023. "Trade-offs between access and quality in healthcare: Evidence from retail clinics in Mexico," Journal of Public Economics, Elsevier, vol. 224(C).

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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • I1 - Health, Education, and Welfare - - Health

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