Trust in Public and Private Health Services

Last registered on May 29, 2024

Pre-Trial

Trial Information

General Information

Title
Trust in Public and Private Health Services
RCT ID
AEARCTR-0013656
Initial registration date
May 21, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 29, 2024, 10:17 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Kobe University

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2024-05-25
End date
2026-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Improving public trust in public health services is a challenge in many developing countries. One of the possible reasons behind this may be low level of public trust in public health services. This study aims to clarify whether providing truthful positive information about public health services can improve people’s trust in public health services.
External Link(s)

Registration Citation

Citation
Ishikawa, Yumi. 2024. "Trust in Public and Private Health Services." AEA RCT Registry. May 29. https://doi.org/10.1257/rct.13656-1.0
Experimental Details

Interventions

Intervention(s)
We plan to randomly provide truthful positive information about public health services.
Intervention (Hidden)
We plan to provide the following information to Treatment 1 group "In public health facilities, medical services are provided by health professionals with a national license." and provide the following information to Treatment 2 group "80% of participants in the pilot study at AEON MALL Phnom Penh agreed with the following statement “In my opinion, people should go to public health facilities for safety reasons.""
Intervention Start Date
2024-05-25
Intervention End Date
2024-06-02

Primary Outcomes

Primary Outcomes (end points)
Trust in Public Health Services
Primary Outcomes (explanation)
General trust in public health services, trust in the safety of public health services, predicting the use of public health services, predicting the use of public health services for others, and allocation in fund dictator game

Secondary Outcomes

Secondary Outcomes (end points)
Trust in Private Health Services
Secondary Outcomes (explanation)
General trust in private health services, trust in the safety of private health services, predicting the use of private health services, predicting the use of private health services for others, and allocation in fund dictator game

Experimental Design

Experimental Design
We plan to randomly provide truthful positive information about public health services.
Experimental Design Details
The sample will be randomly divided into either treatment1, treatment2 or a control group. We will measure trust at baseline for all participants and subsequently randomly provides them with positive information about public health services. We then measure how this information changes their trust. In addition to the questionnaire, following Acemoglu et al. (2020), we use fund dictator game to measure trust.

It gives our respondents a choice between allocating money in an envelope between themselves and a fund that helps people in the country who want to go to public health facilities to cure their illness. They then make a similar decision for a fund that helps people who want to go to private health services using a separate envelope of money.
Randomization Method
The recruitment of participants will be conducted using random street intercept.
When the enumerator finds the participant, the enumerator will bring the participant to the reception desk.
At the reception desk, we will prepare a list of treatment 1, treatment 2 and control randomly assigned to the registration number, which will be done in the office by a computer. Therefore, randomization is made when the participant registers for the survey.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
Approx. 800 individuals
Sample size (or number of clusters) by treatment arms
Approx. 267 individuals treatment1, 267 individuals treatment2. 266 individuals control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Institutional Review Board, Research Institute for Economics and Business Administration, Kobe University
IRB Approval Date
2024-04-26
IRB Approval Number
KOBE_RIEB_IRB007

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
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