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Pay-for-performance reduces bypassing of health facilities: Evidence from Tanzania

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  • Bezu, Sosina
  • Binyaruka, Peter
  • Mæstad, Ottar
  • Somville, Vincent

Abstract

Many patients and expectant mothers in low-income countries bypass local health facilities in search of better-quality services. This study examines the impact of a payment-for-performance (P4P) scheme on bypassing practices among expectant women in Tanzania. We expect the P4P intervention to reduce incidences of bypassing by improving the quality of services in local health facilities, thereby reducing the incentive to migrate. We used a difference-in-difference regression model to assess the impact of P4P on bypassing after one year and after three years. In addition, we implemented a machine learning approach to identify factors that predict bypassing. Overall, 38% of women bypassed their local health service provider to deliver in another facility. Our analysis shows that the P4P scheme significantly reduced bypassing. On average, P4P reduced bypassing in the study area by 17% (8 percentage points) over three years. We also identified two main predictors of bypassing - facility type and the distance to the closest hospital. Women are more likely to bypass if their local facility is a dispensary instead of a hospital or a health center. Women are less likely to bypass if they live close to a hospital.

Suggested Citation

  • Bezu, Sosina & Binyaruka, Peter & Mæstad, Ottar & Somville, Vincent, 2021. "Pay-for-performance reduces bypassing of health facilities: Evidence from Tanzania," Social Science & Medicine, Elsevier, vol. 268(C).
  • Handle: RePEc:eee:socmed:v:268:y:2021:i:c:s027795362030770x
    DOI: 10.1016/j.socscimed.2020.113551
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    References listed on IDEAS

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    1. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    2. Rao, Krishna D. & Sheffel, Ashley, 2018. "Quality of clinical care and bypassing of primary health centers in India," Social Science & Medicine, Elsevier, vol. 207(C), pages 80-88.
    3. Peter Binyaruka & Edith Patouillard & Timothy Powell-Jackson & Giulia Greco & Ottar Maestad & Josephine Borghi, 2015. "Effect of Paying for Performance on Utilisation, Quality, and User Costs of Health Services in Tanzania: A Controlled Before and After Study," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    4. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    5. Kruk, M.E. & Paczkowski, M. & Mbaruku, G. & De Pinho, H. & Galea, S., 2009. "Women's preferences for place of delivery in rural Tanzania: A population-based discrete choice experiment," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1666-1672.
    6. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    7. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    8. Gauthier, Bernard & Wane, Waly, 2011. "Bypassing health providers: The quest for better price and quality of health care in Chad," Social Science & Medicine, Elsevier, vol. 73(4), pages 540-549, August.
    9. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    10. Kenneth L. Leonard & Gilbert R. Mliga & Damen Haile Mariam, 2002. "Bypassing Health Centres in Tanzania: Revealed Preferences for Quality," Journal of African Economies, Centre for the Study of African Economies, vol. 11(4), pages 441-471, December.
    11. György Bèla Fritsche & Robert Soeters & Bruno Meessen, 2014. "Performance-Based Financing Toolkit [Boîte à outils : Financement basé sur la performance]," World Bank Publications - Books, The World Bank Group, number 17194, December.
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    1. Thorsen, Maggie L. & Harris, Sean & Palacios, Janelle F. & McGarvey, Ronald G. & Thorsen, Andreas, 2023. "American Indians travel great distances for obstetrical care: Examining rural and racial disparities," Social Science & Medicine, Elsevier, vol. 325(C).

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