Testing the Impact of Two Posters on Contraceptive Knowledge, Contraceptive Preferences, and Perceived Pregnancy Risk
| Status: | Completed |
|---|---|
| Conditions: | Contraception, Contraception |
| Therapuetic Areas: | Reproductive |
| Healthy: | No |
| Age Range: | 18 - 44 |
| Updated: | 4/17/2018 |
| Start Date: | January 26, 2018 |
| End Date: | February 13, 2018 |
A Randomized Control Trial of the Effectiveness of Risk Communication in Two Contraceptive Fact Sheets
This study tests two posters that teach people about contraception: one designed by the
Centers for Disease Control (CDC), and one designed by the researchers. The investigators
hypothesize that the new poster will have more increased (1) contraceptive knowledge, (2)
willingness to use effective contraception, and (3) perceived pregnancy risk than the CDC
poster. This study will expand useful knowledge because contraceptive knowledge, willingness
to use effective contraception, and perceived pregnancy risk have been shown to affect
women's likelihood of using contraception. If the investigators learn how to increase these
factors, the investigators could theoretically reduce women's risk of unplanned pregnancy.
The investigators will test this hypothesis by recruiting N=1000 women to complete an online
survey using Amazon Mechanical Turk. These women will complete a survey that will first
measure their initial contraceptive knowledge, willingness to use effective contraception,
and perceived pregnancy risk. Then women will randomly be shown one of the two posters. Then,
the investigators will measure their contraceptive knowledge, willingness to use effective
contraception, and perceived pregnancy risk again. The investigators will use statistical
tests (a t-test) to find out whether there are significant changes in these three outcomes
for either of the posters, and whether one poster does a better job of changing these
outcomes than the other.
Centers for Disease Control (CDC), and one designed by the researchers. The investigators
hypothesize that the new poster will have more increased (1) contraceptive knowledge, (2)
willingness to use effective contraception, and (3) perceived pregnancy risk than the CDC
poster. This study will expand useful knowledge because contraceptive knowledge, willingness
to use effective contraception, and perceived pregnancy risk have been shown to affect
women's likelihood of using contraception. If the investigators learn how to increase these
factors, the investigators could theoretically reduce women's risk of unplanned pregnancy.
The investigators will test this hypothesis by recruiting N=1000 women to complete an online
survey using Amazon Mechanical Turk. These women will complete a survey that will first
measure their initial contraceptive knowledge, willingness to use effective contraception,
and perceived pregnancy risk. Then women will randomly be shown one of the two posters. Then,
the investigators will measure their contraceptive knowledge, willingness to use effective
contraception, and perceived pregnancy risk again. The investigators will use statistical
tests (a t-test) to find out whether there are significant changes in these three outcomes
for either of the posters, and whether one poster does a better job of changing these
outcomes than the other.
Purpose: To evaluate the effectiveness of two posters' ability to improve contraceptive
knowledge, willingness to use effective contraception, and pregnancy risk perceptions. One of
these posters was developed by the CDC. The other was developed by the research team in a
previous study using cognitive interviews with N=26 women. The new poster is designed to meet
the informational needs of women with low numeracy (i.e. low facility with math) and women
who do not use contraception.
Participants: The investigators will recruit N=1020 women aged 18-44 who can speak and read
English, have been sexually active in the last three months, and who are not pregnant or
trying to get pregnant.
Procedures (methods): The investigators will use Amazon Mechanical Turk to recruit
participants. Participants will take one survey. The survey will first ask baseline questions
to assess contraceptive knowledge, willingness to use effective contraception, and perceived
pregnancy risk. Participants will then be randomly shown one of the two posters. Then
post-exposure questions on the three outcomes will be asked.
The investigators test the hypotheses that before compared to after exposure, the mean scores
for (1) contraceptive knowledge, (2) willingness to use effective contraception, and (3)
perceived pregnancy risk will increase more for the new fact sheet than for the CDC sheet.
The investigators also collect the following covariates: age, race/ethnicity, education,
income, insurance type, insurance coverage of contraception, numeracy (facility with math),
health and safety contraindications to contraceptive use, sexual orientation, parenthood,
years since first sex, relationship status, prior exposure to CDC sheet, and pregnancy
avoidance intensity. The investigators will compare whether the covariates are balanced
between the randomized groups and the US population using two-sample t-tests, chi-squared, or
nonparametric tests as appropriate. If the unbalance is statistically significant, the
investigators will include the covariate in the regression to compare the adjusted difference
between treatments. The investigators use two-sample t-tests to test our hypotheses. The
investigators will also test for subgroup differences in our outcomes based on our covariates
using a Chow test.
The investigators will first test survey mechanics (correct coding, correct links) on N=20
women. The investigators will survey N=1000 women for data analysis.
knowledge, willingness to use effective contraception, and pregnancy risk perceptions. One of
these posters was developed by the CDC. The other was developed by the research team in a
previous study using cognitive interviews with N=26 women. The new poster is designed to meet
the informational needs of women with low numeracy (i.e. low facility with math) and women
who do not use contraception.
Participants: The investigators will recruit N=1020 women aged 18-44 who can speak and read
English, have been sexually active in the last three months, and who are not pregnant or
trying to get pregnant.
Procedures (methods): The investigators will use Amazon Mechanical Turk to recruit
participants. Participants will take one survey. The survey will first ask baseline questions
to assess contraceptive knowledge, willingness to use effective contraception, and perceived
pregnancy risk. Participants will then be randomly shown one of the two posters. Then
post-exposure questions on the three outcomes will be asked.
The investigators test the hypotheses that before compared to after exposure, the mean scores
for (1) contraceptive knowledge, (2) willingness to use effective contraception, and (3)
perceived pregnancy risk will increase more for the new fact sheet than for the CDC sheet.
The investigators also collect the following covariates: age, race/ethnicity, education,
income, insurance type, insurance coverage of contraception, numeracy (facility with math),
health and safety contraindications to contraceptive use, sexual orientation, parenthood,
years since first sex, relationship status, prior exposure to CDC sheet, and pregnancy
avoidance intensity. The investigators will compare whether the covariates are balanced
between the randomized groups and the US population using two-sample t-tests, chi-squared, or
nonparametric tests as appropriate. If the unbalance is statistically significant, the
investigators will include the covariate in the regression to compare the adjusted difference
between treatments. The investigators use two-sample t-tests to test our hypotheses. The
investigators will also test for subgroup differences in our outcomes based on our covariates
using a Chow test.
The investigators will first test survey mechanics (correct coding, correct links) on N=20
women. The investigators will survey N=1000 women for data analysis.
Inclusion Criteria:
- Speak and read English
- Have had vaginal intercourse in the past three months
Exclusion Criteria:
- Are pregnant
- Are trying to conceive
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