Literature DB >> 33309150

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

Sosina Bezu1, Peter Binyaruka2, Ottar Mæstad3, Vincent Somville4.   

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.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Africa; Health financing; Health governance; Health service use; Maternal care; Pay for performance; Tanzania; bypassing

Mesh:

Year:  2020        PMID: 33309150     DOI: 10.1016/j.socscimed.2020.113551

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  1 in total

1.  Health care seeking in modern urban LMIC settings: evidence from Lusaka, Zambia.

Authors:  Emma Clarke-Deelder; Doris Osei Afriyie; Mweene Nseluke; Felix Masiye; Günther Fink
Journal:  BMC Public Health       Date:  2022-06-16       Impact factor: 4.135

  1 in total

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