Additional file 1 of How do pro-social tendencies and provider biases affect service delivery? Evidence from the rollout of self-injection of DMPA-SC in Nigeria

Additional file 1: Table S1: Descriptives of provider characteristics, biases, and social preferences, stratifying by sex and sector. Table S2: Descriptives of provider characteristics, biases, and social preferences, stratifying by state and type of health worker. Table S3: Perceived differential treatment by reason. Table S4: Comparison of mystery client visits in analytical sample to those excluded from analytical sample. Figure S1: Mystery Client Flow Diagram.

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Publication Details

Journal
Figshare
Published
2025-03-04
DOI
https://doi.org/10.6084/m9.figshare.28537876.v1
Primary Topic
Software System Performance and Reliability
Type
article
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Additional file 1 of How do pro-social tendencies and provider biases affect service delivery? Evidence from the rollout of self-injection of DMPA-SC in Nigeria

Figshare
Software System Performance and Reliability
article

Additional file 1 of How do pro-social tendencies and provider biases affect service delivery? Evidence from the rollout of self-injection of DMPA-SC in Nigeria

article en

Abstract

Additional file 1: Table S1: Descriptives of provider characteristics, biases, and social preferences, stratifying by sex and sector. Table S2: Descriptives of provider characteristics, biases, and social preferences, stratifying by state and type of health worker. Table S3: Perceived differential treatment by reason. Table S4: Comparison of mystery client visits in analytical sample to those excluded from analytical sample. Figure S1: Mystery Client Flow Diagram.

Figshare
University of California, San Francisco (US)
Reduced inequalities
Openalex Percentile: Top 48%
Software System Performance and Reliability
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Additional file 1 of How do pro-social tendencies and provider biases affect service delivery? Evidence from the rollout of self-injection of DMPA-SC in Nigeria · Figshare (2025) | TGRS Research Map | TGRS