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Pay-for-performance reduces bypassing of health facilities

Evidence from Tanzania

Bibliographic Data

ID4973703
AuthorsSosina Bezu (0000-0001-5449-1202, Toronto Metropolitan University, corresponding author), Peter Binyaruka (0000-0002-1892-7985, Chr. Michelsen Institute), Ottar Mæstad (Chr. Michelsen Institute), Vincent Somville (0000-0003-4153-5290, Chr. Michelsen Institute)
Year2021
Volume268
Pages113551
Publication date2021-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2020.113551
PMID33309150
OpenAlexW3109913567
LanguageEN
Citations received6
References cited25

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

Business · Dispensary · Economics · Environmental health · Health facility · Health services · Incentive · Operations management · Pay for performance · Payment · Population · Socioeconomics · Tanzania · Global Maternal and Child Health · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Nursing · Finance

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Unique citing works6
Citations per year1.5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae