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Discrimination in the health care market in India
Last registered on August 28, 2017

Pre-Trial

Trial Information
General Information
Title
Discrimination in the health care market in India
RCT ID
AEARCTR-0002385
Initial registration date
August 26, 2017
Last updated
August 28, 2017 4:44 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
Monash University
Other Primary Investigator(s)
PI Affiliation
Indian Institute of Technology
PI Affiliation
Monash University
Additional Trial Information
Status
In development
Start date
2017-09-04
End date
2017-10-31
Secondary IDs
Abstract
This study uses a field experiment that builds on the correspondence testing methodology to test for the presence and nature of patients' discrimination against physicians from different caste groups in India.
External Link(s)
Registration Citation
Citation
Islam, Asadul, Debayan Pakrashi and Liang Choon Wang. 2017. "Discrimination in the health care market in India." AEA RCT Registry. August 28. https://doi.org/10.1257/rct.2385-1.0.
Former Citation
Islam, Asadul et al. 2017. "Discrimination in the health care market in India." AEA RCT Registry. August 28. http://www.socialscienceregistry.org/trials/2385/history/20921.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
We examine whether patients’ preferences for physicians differ by the physician's caste and the patient's caste. In collaboration with NGO-run mobile clinics in India, the experiment will invite residents in various localities to sign up for an upcoming health service event provided by one of four potential physicians with different caste-sounding family names and years of experience.
Intervention Start Date
2017-09-10
Intervention End Date
2017-10-31
Primary Outcomes
Primary Outcomes (end points)
Preference rankings of different doctors, rankings of doctors that are consistent with taste-based discrimination, rankings of doctors that are consistent with statistical discrimination, and money allocated to various opponents in dictator games.
Primary Outcomes (explanation)
Preference rankings of doctors (patients list doctors of different years of experience and caste backgrounds from most preferred to least preferred), altruism towards different groups of people (money allocated to individuals of different backgrounds in a dictator game).
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
There are two parts to our experimental design: (1) field experiment; and (2) lab-in-the-field experiment. The field experiment uses the corresponding testing methodology typically employed in studies of discrimination. The lab-in-the-field experiment uses experimental games that involve allocation of money to different individuals.
Experimental Design Details
We will target 40 clusters (district centres/villages) with 80-90 participants per cluster, giving a total sample of roughly 3,500 participants. Participants will be asked to rank the physicians based on their preferences. Participants will also provide us with their name, gender, date of birth, address, and contact information, so that we can contact them about the assignment before the date of visit by the mobile-clinic and also to conduct a follow-up survey and the lab-in-the-field experiment.
Randomization Method
Randomization done in office by a computer using STATA 14.
Randomization Unit
Randomization at the individual level. In the field experiment, the targeted sample is 3500 individuals. In the lab-in-the-field experiment, the targeted sample is 600 individuals, drawn randomly from the 3500 individuals.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
3500 individuals in the field experiment and 600 individuals in the lab-in-the-field experiment.
Sample size: planned number of observations
3500 individuals in the field experiment and 600 individuals in the lab-in-the-field experiment.
Sample size (or number of clusters) by treatment arms
The field experiment is not a typical randomised controlled experiment. It follows the correspondence testing methodology used in studies on discrimination, where all individuals are treated in the experiment. The doctors' names and years of experience (treatment) shown to patients are randomly assigned to everyone, where each patient gets four different types of doctors on the list. In the lab-in-the-field experiment, all individuals are also randomly matched with four different types of individuals. Thus, the sample size in the treatment arm in the field experiment is 3500 and the sample size in the treatment arm in the lab-in-the-field experiment is 600.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Indian Institute of Technology - Kanpur Institutional Ethics Committee (IEC)
IRB Approval Date
2017-05-15
IRB Approval Number
IITK/IEC/2016-17 II/6
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS