Uncover your risk! Using Facebook to increase the awareness of diabetes in Indonesia

Last registered on March 22, 2022

Pre-Trial

Trial Information

General Information

Title
Uncover your risk! Using Facebook to increase the awareness of diabetes in Indonesia
RCT ID
AEARCTR-0008781
Initial registration date
January 24, 2022

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
January 24, 2022, 9:37 AM EST

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

Last updated
March 22, 2022, 9:04 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Affiliation
University of Passau

Other Primary Investigator(s)

PI Affiliation
University of Passau and University of Groningen
PI Affiliation
Qatar Computing Research Institute
PI Affiliation
Microsoft Research and Technion

Additional Trial Information

Status
In development
Start date
2022-03-01
End date
2022-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Using social media to distribute health related information has become increasingly common, especially in light of the recent Covid-19 pandemic. In this study, we assess whether social media – in particular Facebook – can serve as an efficient and cost-effective tool to increase the awareness about diabetes type 2 in Indonesia, where the prevalence of the diesease – and with it the rates of undiagnosed cases – has dramatically increased in the last decade. We use Facebook’s advertisement function to randomly distribute informative ads related to the risk and consequences of diabetes to Indonesian Facebook users above the age of 21. The ads differ in their content and graphical design, but equally invite viewers of the ads to visit an information website on which they can participate in a diabetes self-screening activity (Findrisk test), which determines the risk of having or developing diabetes. Depending on their determined risk score, participants will receive a recommendation to contact their GP and ask for an in-depth screening. We investigate which type of advertisement content and graphic is able to generate the highest number of clicks, website visits and completed screenings per view to derive policy recommendations about (cost-)effective designs for health-related awareness campaigns in the context of surging rates of non-communicable diseases in low-and middle-income countries.
External Link(s)

Registration Citation

Citation
Fritz, Manuela et al. 2022. "Uncover your risk! Using Facebook to increase the awareness of diabetes in Indonesia." AEA RCT Registry. March 22. https://doi.org/10.1257/rct.8781
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2022-04-01
Intervention End Date
2022-04-30

Primary Outcomes

Primary Outcomes (end points)
Number of views per ad, clicks per ad, views of information page per ad, number of tests started, number of tests completed, costs per view, costs per click, costs per started screening questionnaire and cost per completed questionnaire.

We will also assess:
- Survey participation (in the addtional survey after the test) as a function of ads
- Survey participation (in the addtional survey after the test) as a function of find risk score
- Findrisk score as a function of ads (should not have an effect)
- Findrisk score as a function of find risk survey characteristics and characteristics observed in larger survey characteristics
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment will be designed in the form of an online health awareness campaign implemented via the social media platform Facebook. We will randomize ads that differ in their design and content. Specifically, we will randomize different groups of ads, with each group representing a different channel (i.e. social or information) or aspect of diabetes. Each ad groups consists of 2-3 different ads.
Experimental Design Details
Not available
Randomization Method
Randomization done automatically via Facebook
Randomization Unit
The randomization will take place at the individual level
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
(No clustering) - We aim to reach as many individuals as possible, but at least 1200 in total.
Sample size: planned number of observations
We aim to reach as many individuals as possible, but at least 1200 in total.
Sample size (or number of clusters) by treatment arms
Per treatment (ad-group) we aim to reach 200 individuals.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Passau Research Ethics Committee
IRB Approval Date
2022-03-15
IRB Approval Number
I-07.5090/2022
Analysis Plan

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