Back to History Current Version

Resolution of Uncertainty through Testing: The Impact of Pregnancy Tests on Reproductive and Maternal Health Beliefs and Behaviors

Last registered on June 06, 2017

Pre-Trial

Trial Information

General Information

Title
Resolution of Uncertainty through Testing: The Impact of Pregnancy Tests on Reproductive and Maternal Health Beliefs and Behaviors
RCT ID
AEARCTR-0001934
Initial registration date
June 06, 2017

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
June 06, 2017, 3:37 PM EDT

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

Locations

Primary Investigator

Affiliation
University of Illinois at Urbana-Champaign

Other Primary Investigator(s)

PI Affiliation
Mbarara University of Science and Technology
PI Affiliation
University of California, San Francisco

Additional Trial Information

Status
In development
Start date
2017-07-01
End date
2018-06-30
Secondary IDs
ClinicalTrials.gov: NCT03179059
Abstract
Given the high rate of delayed adoption of antenatal care (ANC), and high rates of unintended pregnancy and unsafe abortion in Uganda, research on the period of time before confirmation of pregnancy is critical to understand underlying beliefs that guide behaviors ultimately important for maternal and neonatal health.

Home pregnancy tests - which now cost less than 10 cents each - have the potential to facilitate FP uptake and significantly improve reproductive, maternal and child health outcomes in sub-Saharan Africa, including Uganda. These tests are easy to administer, disposable, inexpensive, and have a low false positive rate. Yet, for women living in rural areas in sub-Saharan countries, these tests are typically unavailable outside of health centers or they are prohibitively expensive.

This study will investigate women's underlying beliefs about pregnancy status and examine how providing access to home-based pregnancy tests - thus facilitating earlier resolution of uncertainty of pregnancy status - influences such beliefs and decisions to take up family planning (FP) or seek appropriate pregnancy services.

The results will inform the design of a larger study in the future.
External Link(s)

Registration Citation

Citation
Comfort, Alison, Joseph Ngonzi and Rebecca Thornton. 2017. "Resolution of Uncertainty through Testing: The Impact of Pregnancy Tests on Reproductive and Maternal Health Beliefs and Behaviors." AEA RCT Registry. June 06. https://doi.org/10.1257/rct.1934-1.0
Former Citation
Comfort, Alison, Joseph Ngonzi and Rebecca Thornton. 2017. "Resolution of Uncertainty through Testing: The Impact of Pregnancy Tests on Reproductive and Maternal Health Beliefs and Behaviors." AEA RCT Registry. June 06. https://www.socialscienceregistry.org/trials/1934/history/18342
Sponsors & Partners

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2017-07-01
Intervention End Date
2018-06-30

Primary Outcomes

Primary Outcomes (end points)
Take-up of contraceptives (by type of method), perceived pregnancy status or degree of uncertainty about pregnancy status, and receipt of ANC during the follow-up period as well as value of pregnancy test (Willingness to pay).
Primary Outcomes (explanation)
We will construct measures for the following FP-related outcomes: use of oral contraceptives, use of injectables, use of other short-acting method, and use of long-active reversible method. For ANC-related outcomes, we will measure any ANC visit, gestational age at first ANC visit, and number of ANC visits. Willingness to pay is computed by Becker-DeGroot-Marschak (BDM) or/and Take it or leave it (TIOLI) method

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Following baseline data collection, half of the sample will be provided with a home pregnancy test to assess how resolving uncertainty about pregnancy status affects beliefs and behaviors.
Experimental Design Details
We will conduct two interventions at baseline:
1. First, following baseline data collection, half of the sample (300 of the 600 women uncertain of pregnancy status at baseline) will be provided with a home pregnancy test to assess how resolving uncertainty about pregnancy status affects beliefs and behaviors. The test consists of a simple dip-strip pregnancy test (dipped into a receptacle of urine) and an informational pamphlet explaining how and when to use the test and interpret the results. By randomly allocating access to free home pregnancy tests at baseline, we will be able to compare how access to and experience with home pregnancy tests affects a) beliefs about pregnancy status, b) willingness to pay and value of additional pregnancy tests at baseline and endline, and c) use of FP services or ANC services. We hypothesize that access can affect behavior through both experience and acquiring information.

2. Second, we will provide a free pregnancy tests to half of the respondents, randomly selected and stratified by intervention #1 for use in the future.

In the last round of data collection, we will elicit WTP for pregnancy tests among all women. We will use the price indicated as an outcome measure; we expect women with experience using the product (that is, those randomly assigned the free test at baseline) to be WTP.
Women who receive a test for free will be able to test for pregnancy in their home if they experience a period of uncertainty or suspect a pregnancy. Pregnant women will also be eligible to purchase a pregnancy tests to assess their demand for these tests.
At endline, we will give money as a token of appreciation for their participation in the study, which they can choose to use towards purchasing the home pregnancy tests. Pregnancy tests will then be offered to women for a randomly assigned price ranging from free to a moderate subsidy.
Randomization Method
Random number generator done in office by a computer
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
No culster
Sample size: planned number of observations
600 women - not pregnant or uncertain of pregnancy status, at risk of pregnancy, and 100 pregnant women
Sample size (or number of clusters) by treatment arms
150 women, offer free pregnancy test at baseline and given a pregnancy test kit for future use
150 women, offer free pregnancy test at baseline
150 women, given a pregnancy test kit for future use
150 women, control group. No intervention.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
According to the DHS 2011 in Uganda, 19.22% of people use modern contraceptive in South West region (sample weighted). Following the power calculation of two proportion test (standard deviation automatically calculated by mean since the outcome is binary variable), the treatment group has to have 30.62% take up of family planning with power set at 0.9. This is the 11.41 percentage points increase from the baseline.
IRB

Institutional Review Boards (IRBs)

IRB Name
Office for the Protection of Research Subjects
IRB Approval Date
2017-06-05
IRB Approval Number
17418
IRB Name
Human Research Protection Program, Institutional Review Board
IRB Approval Date
2017-02-21
IRB Approval Number
16-21381
IRB Name
Mbarara University of Science and Technology, Research Ethics Comittee
IRB Approval Date
2017-03-15
IRB Approval Number
05/01-17

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

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