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Do Patients Value High-Quality Medical Care? Experimental Evidence from Malaria Diagnosis and Treatment 2016

Mali, 2016 - 2017
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Reference ID
MLI_2016_RDTM_v01_M
DOI
https://doi.org/10.48529/20xj-a807
Producer(s)
Carolina Lopez, Anja Sautmann, Simone Schaner
Metadata
DDI/XML JSON
Created on
Feb 05, 2024
Last modified
Feb 05, 2024
Page views
82125
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  • Study Description
  • Data Description
  • Documentation
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
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  • Data collection
  • Data Access
  • Disclaimer and copyrights
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  • Metadata production
  • Citation
  • Identification

    Survey ID number

    MLI_2016_RDTM_v01_M

    Title

    Do Patients Value High-Quality Medical Care? Experimental Evidence from Malaria Diagnosis and Treatment 2016

    Abbreviation or Acronym

    RDTM 2016

    Country/Economy
    Name Country code
    Mali MLI
    Study type

    Other Household Health Survey [hh/hea]

    Series Information

    This data accompanies a paper that reports the effects on diagnosis and treatment of malaria, as well as patient satisfaction with the quality of care, from a randomized experiment conducted at public clinics in Mali. In this experiment, health providers and patients received tailored information about the importance of rapid diagnostic tests (RDTs) for malaria.

    Abstract
    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.
    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis
    • Health providers
    • Patients

    Version

    Version Date

    2024-01-22

    Scope

    Notes

    The datasets (in Stata format) cover the following:

    • LSS_info_CSComCensus_clean.dta: A census of the clinics included in the study, carried out in May 2016. Includes information on total reported caseloads, malaria caseloads, clinic testing, and pharmacy capabilities.
    • LSS_info_CSComs_Agent_Training_corrected.dta: Dataset that includes the number of staff per clinic who attended the training (administrative records).
    • LSS_info_DocPat_analysis_datasets_allcont.dta: Dataset used in the main analysis (at the patient level), collected in enumerator clinic visits (6 per clinic). It includes:
      a. Day-of clinic records: clinic information filled out by the enumerator in the morning of the visit.
      b. In-clinic patient survey: entry and exit interviews with patients at the clinic.
      c. Home survey: home follow-up with subset of patients.
      d. Intervention schedule: treatment assignment for each clinic-day (“official schedule”) (variables with suffix _os).
    • LSS_info_DoctorEndlineInterview_allcont.dta: Endline interview with up to three providers (including head of the clinic) treating patients at the clinic that day, carried out after the intervention was concluded in December 2016/January 2017.
    • LSS_info_PreTest_Doctors_individual_level_allcont.dta: We administered a pre-training test to all healthcare providers who attended the training. The test included questions on the providers' knowledge of topics covered in the basic training, such as recommended malaria treatments and symptoms of severe malaria.
    • LSS_info_PostTest_Doctors_individual_level_allcont.dta: In addition to the variables in “LSS_info_PreTest_Doctors_individual_level_allcont”, the post-training test included topics covered only in the “extended training” treatment.

    Coverage

    Geographic Coverage

    Our study was conducted in the capital city of Bamako and a nearby suburb.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Carolina Lopez Development Research Group, World Bank
    Anja Sautmann Development Research Group, World Bank
    Simone Schaner University of Southern California
    Funding Agency/Sponsor
    Name
    ESRC/DFID Development Frontiers

    Sampling

    Sampling Procedure

    Our enumerators logged 2753 clinic visits during the clinic survey. Our analysis sample includes patients/respondents who met the following criteria: consented to the survey (2 observations excluded), the patient was present at the clinic (0 observations excluded), the clinic visit was for an acute illness (neither preventive care nor follow-up visit for earlier treatment, 442 observations excluded), and the patient had at least one of the following symptoms: fever; chills and/or excessive sweating; nausea, vomiting or diarrhea; poor appetite, unwilling to eat or to breastfeed; headache; cough; weakness, fatigue, or reduced consciousness (31 observations excluded). In addition, we only include in the analysis those observations that satisfy the following: complete clinic intake interview (61 observations excluded), the name of the respondent from the intake interview was confirmed in the exit interview (5 observations excluded), and the respondent was available to continue with the clinic exit interview (157 observations excluded). In addition, we excluded observations from two clinics in one stratum where one of the clinics had to be replaced after the training period ended, leaving a final sample of 58 clinics in 29 strata. This leaves us with a final clinic survey sample of N=1973.

    Data collection

    Dates of Data Collection
    Start End
    2016-05-01 2017-01-06
    Mode of data collection
    • Face-to-face [f2f]

    Data Access

    Access conditions

    Open access.

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Contacts

    Contacts
    Name Affiliation Email
    Carolina Lopez Development Research Group, World Bank carolina_lopez@worldbank.org
    Anja Sautmann Development Research Group, World Bank asautmann@worldbank.org

    Metadata production

    DDI Document ID

    DDI_MLI_2016_RDTM_v01_M_WB

    Producers
    Name Abbreviation Affiliation Role
    Development Data Group DECDG The World Bank Documentation of the DDI
    Date of Metadata Production

    2024-01-26

    Metadata version

    DDI Document version

    Version 01 (January 2024)

    Citation

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