Reproducibility package for Do Patients Value High-Quality Medical Care? Experimental Evidence from Malaria Diagnosis and Treatment
Overview
Can information about the value of diagnostic tests improve provider practice and help patients recognize higher quality of care? In a randomized experiment at public clinics in Mali, health providers and patients received tailored information about the importance of rapid diagnostic tests (RDTs) for malaria. The provider training increased provider reliance on RDTs, improving the match between a patient’s malaria status and treatment with antimalarials by 15-30 percent. Nonetheless, patients were significantly less satisfied with the care they received, driven by those whose prior beliefs did not match their true malaria status. The patient information intervention did not affect treatment outcomes or patient satisfaction and reduced malaria testing. These findings are consistent with highly persistent patient beliefs that translate into low demand for diagnostic testing and limit patients’ ability to recognize improved quality of care.
Reproducibility Package
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Reproducibility
Paper exhibits were attempted to be reproduced in a computer with the following specifications:
– OS: Windows 10 Enterprise
– Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900 Mhz, 8 Core(s)
– Memory available: 108 GB
– Software version: Stata 17 (version 14.2 in the code)
~45 minutes
To run the script, new users only need to change the directory of the master do file (LSS_info_master_data_analysis) and run the code.
Data
The datasets included in this package were generated by the authors. This comprehensive survey encompasses pre-test baseline characteristics and endline assessments. The collected data files are available with the reproducibility package and in the World Bank Microdata Library. For any inquiries regarding the data, please feel free to contact Carolina Lopez at carolina_lopez@worldbank.org
Description
| Author | Affiliation | |
|---|---|---|
| Carolina Lopez | World Bank | carolina_lopez@worldbank.org |
| Anja Sautmann | World Bank | asautmann@worldbank.org |
| Simone Schaner | University of Southern California, BREAD, and NBER | schaner@usc.edu |
2024-01
Scope and coverage
| Location | Code |
|---|---|
| Mali | MLI |
Disclaimer
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Access and rights
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Contacts
| Name | Affiliation | |
|---|---|---|
| Carolina Lopez | World Bank | carolina_lopez@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Information on metadata
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reyes Retana | MRR | World Bank | Junior Data Scientist |
2024-01-12
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