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Attitudes and Decision-making After Pregnancy Testing Study

Attitudes and Decision-making After Pregnancy Testing Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03888404
Acronym
ADAPT
Enrollment
2015
Registered
2019-03-25
Start date
2019-03-16
Completion date
2026-09-01
Last updated
2026-04-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Undesired Pregnancy, Unintended Pregnancy

Keywords

Unintended Pregnancy, Unintended Birth, Pregnancy Preferences, Pregnancy Desires, Prenatal Care, Abortion, Adoption, Pregnancy Decision-Making, Mental Health, Stress, Socioeconomic Status, Education

Brief summary

The ADAPT Study is a longitudinal observational cohort study examining women's pregnancy preferences, pregnancy decision-making processes, and the effects of less preferred (commonly called "unintended") pregnancy on women's lives. This study will enroll and follow prospectively an Underlying Cohort (UC) of women who are not pregnant at baseline. The study will measure the degree to which participants desire to avoid pregnancy multiple times over the course of the year and capture incident pregnancies as they occur over time. Participants experiencing new pregnancies during the one-year UC will be transferred into a new cohort, the Pregnancy and Match Cohort (PMC); these women will be followed over the course of their pregnancy decision-making and health care-seeking to document these processes. In addition, they will be followed through their pregnancies and giving birth to investigate differences in health, well-being, and socioeconomic outcomes associated with carrying a pregnancy to term based on the participant's pre- and post-pregnancy preference about the pregnancy. Finally, a cohort of non-pregnant women from the UC, matched on desire to avoid pregnancy and time at risk of pregnancy, will be followed as part of the PMC. The study will compare the health, well-being, and socioeconomic outcomes of women with new pregnancies and new births to those in the non-pregnant group to assess the effect of pregnancy itself on women. The ADAPT study has the following aims: Aim 1: Assess the factors associated with women's pregnancy preferences, how preferences change over time, and their associations with contraceptive use, incident pregnancy, and feelings about the pregnancy after discovery (Underlying Cohort) Aim 2: Investigate the options that women consider when they become pregnant and the factors that influence their pregnancy decision-making and ability to access desired reproductive health care and services (prenatal, abortion, adoption) (Study A) Aim 3a: Examine the effects of giving birth from a less preferred (or "unintended") pregnancy, measured prospectively on a continuum, as compared to a more preferred pregnancy, on women's health and well-being (Study B1) Aim 3b: Examine the effects of experiencing pregnancy and birth on women's health and well-being, as compared to not experiencing pregnancy (Study B2) This is a social science, behavioral study and does not use clinical data or biological markers.

Detailed description

The ADAPT Study is a longitudinal observational cohort study. The study has four components, each corresponding to a study aim: 1) Underlying Cohort (Aim 1); 2) Pregnancy and Match Cohort, Study A (Aim 2); 3) Pregnancy and Match Cohort, Study B1 (Aim 3a); and 4) Pregnancy and Match Cohort, Study B2 (Aim 3b). This ADAPT study will recruit an "Underlying Cohort" (UC) of approximately 2,200 English or Spanish-speaking women, ages 15-34, who are not pregnant (or are terminating a pregnancy) and who are seeking care at designated primary and reproductive health care facilities in four states (see Eligibility Criteria). Participants will be followed up to a year as a part of the UC. At the UC baseline and follow-up surveys conducted every 6 weeks, participants will complete a psychometrically validated measure of prospective preferences and feelings about a potential pregnancy, the Desire to Avoid Pregnancy (DAP) scale. Analyses of UC data will examine the degree to which DAP scores change over time, as well as the relationships between DAP score and contraceptive use, pregnancy, feelings about incident pregnancies after they occur, collected at follow-up surveys. Participants experiencing new pregnancies during the one-year UC will be transferred into a new cohort, the Pregnancy and Match Cohort (PMC), and will be followed for two years. In the PMC, participants will complete 8 surveys at: PMC baseline (right after reporting a new pregnancy), 6 weeks, 3 months, 6 months, 9 months, 12 months, 18 months, and 24 months. Surveys will capture the pregnancy options participants consider (raising child, abortion, adoption), health care and services participants seek (prenatal, abortion, adoption), services obtained and pregnancy outcome. Analyses will examine the factors influencing decision-making and ability to obtain desired care/services, including state sociopolitical environment around reproductive health. PMC participants will also be a part of PMC-Study B1, in which they will be followed through the course of their pregnancies and childbirth to investigate health, well-being, and socioeconomic outcomes. All PMC surveys will include measures of stress and mental health; well-being; socioeconomics and employment; educational goals and attainment; alcohol, tobacco and drug use; physical health; and intimate partner violence so that individual trajectories of these outcomes will be available over time. Surveys administered after the birth of a child will also assess birth, maternal and child outcomes, including prematurity, low birth weight, breast-feeding, post-partum depression, maternal bonding, and child development. Study B1 will investigate how these outcomes differ based on the woman's prospective preference about the pregnancy, as well as her attitudes and feelings about it upon discovery. Analyses will compare outcomes among women giving birth by pregnancy preferences level; separately, analyses will also include the women who experienced miscarriage or terminated pregnancies. The hypothesis is that women with higher DAP scores will experience poorer outcomes after pregnancy and birth than those with higher DAP scores. Finally, PMC-Study B2 will examine the effect of pregnancy itself on health and well-being outcomes. Throughout the UC as new pregnancies occur, a cohort, frequency matched on pregnancy preference score and time at risk of pregnancy, will also be followed as part of the PMC. Non-pregnant matches who experience pregnancy within a year of enrollment will themselves enter the pregnancy cohort and be assigned a non-pregnant match for the remainder of their time in the PMC. Analyses will compare the health, well-being, and socioeconomic outcomes of women with new pregnancies (and, separately, new births) to those the non-pregnant group to assess the effect of pregnancy itself on women. Analyses will account for the interaction between pregnancy preferences and pregnancy. The hypothesis is that experiencing a less preferred pregnancy (higher DAP score) will result in poorer health outcomes than avoiding a less preferred pregnancy. Research activities will be conducted and coordinated by trained University of California, San Francisco (UCSF) research associates. Staff members at recruitment sites will not be engaged in the research. Data collection will involve completing confidential self-administered surveys using secure electronic systems (i.e., Qualtrics) or phone interviews over the course of the study. Participants will be followed for up to one year in the UC; those who transfer to the PMC will be followed for between 2-3 years overall. Participants will be remunerated with gift cards after each survey.

Interventions

OTHERPregnancy preferences (Aim 1)

The primary exposure of interest for Aim 1 will be pregnancy preferences, measured with the Desire to Avoid Pregnancy scale.

OTHERSociocultural environment (Aim 2)

For Aim 2 will assess the roles of contextual and individual variables on pregnancy decision-making and care-seeking outcomes (including state political environment, stigma, social emotional and instrumental support, feelings about the pregnancy, SES).

OTHERPregnancy preferences (Aim 3a)

The primary exposure of interest for Aim 3a will be pregnancy preferences, measured with the Desire to Avoid Pregnancy scale.

OTHERPregnancy (Aim 3b)

The exposure of interest for Aim 3b will be experiencing pregnancy. DAP level will be examined as an effect modifier.

Sponsors

University of California, San Francisco
Lead SponsorOTHER
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
CollaboratorNIH

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
15 Years to 34 Years
Healthy volunteers
Yes

Inclusion criteria

* Aged 15 to 34 * Is presenting for services at the participating recruitment site * Speaks and reads English or Spanish * Sexually active (has had sex in the last 3 months with a man/someone with sperm) * Has a uterus * Resides in a study state or one directly bordering a study state * Has access to a phone, internet, or smartphone * Willing to be contacted by research team for 1-3 years by phone and either email or mail

Exclusion criteria

* Reports current pregnancy (unless having or initiating an abortion on the day of enrollment) * Is sterilized or using an intrauterine device or transdermal implant at enrollment

Design outcomes

Primary

MeasureTime frameDescription
Mean score on Cohen's Perceived Stress Scale over 24 months (Aims 3a/3b)PMC baseline through 24 monthsThe Perceived Stress Scale (PSS) measures stress; scores are summed across 4 scale items (brief version), each with responses never to very often, on a 5-point scale, for a score ranging 0-16. The outcome will be the predicted mean PSS score over the 8 PMC survey observations (a single measure of effect), based on the marginal effect from a longitudinal multivariable mixed effects model.
Proportion experiencing moderate to severe depressive symptoms on the PHQ-8 over 24 months (Aims 3a/3b)PMC baseline through 24 monthsPatient Health Questionnaire (PHQ-8) measures depression symptoms; scores are summed across the 8 items, each with responses not at all to nearly every day, on a 4-point scale, for a score ranging 0-24. Those scoring ≥ 10 are considered to have moderate to severe depression. The outcome will be the predicted probability of a PHQ-8 score ≥ 10 over the 8 PMC survey observations (a single measure of effect), based on the marginal effect from a longitudinal multivariable mixed effects model.
Proportion experiencing moderate to severe anxiety symptoms on the GAD-7 over 24 months (Aims 3a/3b)PMC baseline through 24 monthsGeneralized Anxiety Disorder (GAD-7) measures anxiety symptoms; scores are summed across the 7 items, each with responses not at all to nearly every day, on a 4-point scale, for a score ranging 0-21. Those scoring ≥ 10 are considered to have moderate to severe anxiety. The outcome will be the predicted probability of a GAD-7 score ≥ 10 over the 8 PMC survey observations (a single measure of effect), based on the marginal effect from a longitudinal multivariable mixed effects model.
Proportion of pregnancies ending in childbirth and childraising, among those who reported ever considering the option (Aim 2)PMC baseline through 12 monthsParticipants will report at each survey whether they considered each pregnancy option, as well as the status and outcome of their pregnancy. The outcome will be the proportion of participants whose pregnancies ended in childbirth and childraising, among those who ever reported considering giving birth and raising the child on a follow-up survey.
Proportion of pregnancies ending in abortion, among those who reported ever considering the option (Aim 2)PMC baseline through 12 monthsParticipants will report at each survey whether they considered each pregnancy option, as well as the status and outcome of their pregnancy. The outcome will be the proportion of participants whose pregnancies ended in abortion, among those who ever reported considering abortion on a follow-up survey.
Proportion of participants obtaining prenatal care, among those who ever reported seeking prenatal care (Aim 2)PMC baseline through 12 monthsParticipants will report at each survey whether they sought prenatal care, abortion care and/or adoption services and whether they obtained each type of care. The outcome will be the proportion of participants who obtained prenatal care, among those who ever reported seeking prenatal care.
Proportion of participants obtaining abortion care, among those who ever reported seeking abortion care (Aim 2)PMC baseline through 12 monthsParticipants will report at each survey whether they sought prenatal care, abortion care and/or adoption services and whether they obtained each type of care. The outcome will be the proportion of participants who obtained abortion care, among those who ever reported seeking abortion care.

Secondary

MeasureTime frameDescription
Proportion living below 100% of the Federal Poverty Level (FPL) (Aims 3a/3b)PMC baseline through 24 monthsParticipants will report on all surveys their household income and size. We will calculate the FPL cut-point based on the specific year's US Census Bureau FPL. The outcome will be the predicted probability of living below 100% FPL over the 8 PMC survey observations, based on the marginal effect from a longitudinal multivariable mixed effects model.
Mean MacArthur Scale of Subjective Social Status score over 24 months (Aims 3a/3b)PMC baseline through 24 monthsParticipants will rank themselves on the MacArthur Scale of Subjective Social Status (SSS) ladder (1-10) at all surveys. The outcome will be the predicted mean score over the 8 PMC survey observations, based on the marginal effect from a longitudinal multivariable mixed effects model.
Proportion employed full or part time (Aims 3a/3b)PMC baseline through 24 monthsParticipants will report on all surveys their current employment status. The outcome will be the predicted probability of being employed (full or part time) over the 8 PMC survey observations, based on the marginal effect from a longitudinal multivariable mixed effects model.
Time until dropping out of or leaving school (Aims 3a/3b)PMC baseline through 24 monthsParticipants will respond to questions at each survey about their current enrollment in school, type of school attended, degree sought, changes in enrollment since prior survey, degree completion/incompletion, and educational aspirations. Dropping out will be examined as, among those in a degree or other educational program at PMC baseline, time until stopping the degree for a reason other than completion.
Mean Diener's Flourishing Scale scores over 24 months (Aims 3a/3b)PMC baseline through 24 monthsDiener's Flourishing Scale scores measures eudaimonic well-being; scores are summed across the 8 items, each with responses strongly agree to strongly disagree, on a 7-point scale, for total scores of 0-46. The outcome will be the predicted mean scale score over the 8 PMC survey observations, based on the marginal effect from a longitudinal multivariable mixed effects model.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORCorinne Rocca, PhD

University of California, San Francisco

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 13, 2026