The purpose of this research study is to find out if pregnant women screening positive for alcohol risk like the brief alcohol intervention application that the investigators have developed (called the MommyCheckup, which is a technology-delivered SBIRT, or e-SBIRT), and if it helps them to reduce alcohol use. The investigators also wish to test whether e-SBIRT effects can be enhanced by booster sessions and/or tailored text messages.

This factorial trial will include 384 participants. Participants will be pregnant women age 18-35 years who score positive on a frequently used and well-validated screening tool for alcohol use risk in pregnancy (the T-ACE). We will also add an additional requirement of either drinking weekly or more in the past month, or having 4 or more drinks at a time at least monthly in the 12 months before becoming pregnant. To be eligible for the study, participants must also report smartphone ownership, willingness to receive study-related text messages and to use their smartphone for study-related assessments and/or booster sessions, and being at 20 weeks gestation or less. Participants will be excluded if they are not planning to carry the pregnancy to term, or are unable to communicate in English. All participants must reside in Connecticut, Massachusetts, or Michigan. Completion of the baseline assessment is also necessary for inclusion.

Participants will be recruited via community flyers as well as by online posts, flyers, and other advertising via multiple digital platforms that may appear as banners, text, images, video, and/or URL links to the study website, which further links to the screening survey.. The flyers and ads will contain basic information indicating that they are for a health-related study for women 18-35 years of age who can communicate in English. Interested women meeting these criteria will be provided a website address, QR code, or link to a study website, where they will be presented with an electronic information sheet, which they may access via their own smartphone or tablet. Those who click "I agree" at the end of this information sheet, will be invited to complete the initial computer-directed screening survey via a link from the study website to a Qualtrics survey. This survey will ask a range of questions so that the study's inclusion and exclusion criteria are not readily apparent (in order to limit fraud).

The screening survey will be used to determine whether initial inclusion criteria have been met [(age, state of residence, pregnancy status, and alcohol risk (T-ACE positive and either drinking weekly or more in the past month, or having 4 or more drinks at a time at least monthly in the 12 months before becoming pregnant)]. Study staff will contact interested women who meet study inclusion criteria by phone in order to validate their eligibility (survey completed by a real person, who can communicate in English, has a working smartphone, is able to receive text messages, and understands study requirements). The following strategies will be implemented to reduce the possibility of fraudulent participation: 1) manual review of IP addresses to screen for duplicates and identify addresses of non-US origin, detect fraudulent completion (e.g., bots), 2) manual review of Qualtrics survey data to detect suspicious response times (e.g., completing the survey too quickly), unusual patterns in responses, respondent names, respondent email addresses, and patterned completion timestamps indicating that one person/bot is completing the survey repeatedly until eligible, 3) inclusion of a required open-ended narrative response to detect fraudulent completion, and 4) inclusion of invisible questions that only a bot could respond to, as well as visible nonsense questions directing the respondent to provide a particular answer. Only interested women who pass these screens and can be confirmed via the phone call will be enrolled.

The full trial consent will also be presented electronically and will proceed only if participants provide written informed consent via e-signature (using DocuSign, see section 10.1.3 of the protocol for additional information). Participants who meet all eligibility criteria and who provide consent will then be randomly assigned to a study condition during the baseline assessment. The staff member who enrolls the participant will not have access to the assigned condition/content at the time of consent and initial study condition assignment.

This trial includes varying levels of two separate interventions. The interactive and tailored baseline MommyCheckup single-session e-SBIRT was built on principles of Motivational Interviewing and Self-Determination Theory, and is presented to participants directly via their own electronic device (e.g., smartphone, tablet), which interacts with them through an animated talking narrator. The e-SBIRT booster sessions will be sent to participants as a text message that includes a link to the booster content. Participants will be texted these links on two occasions: 6 weeks following the baseline session, and at 30 weeks gestation. Participants assigned to the text messaging intervention will receive a test message at the conclusion of their baseline session, in order to confirm that the software has the correct cellphone number. These participants will then begin receiving text messages twice weekly until after the 34-week assessment, or until they text back "STOP" to end the messages.

Following the baseline session, participants will be asked to complete follow-up assessments at 4 weeks post-baseline, at 27 weeks gestation, 34 weeks gestation, and at 4 weeks postpartum. In addition, all participants will be mailed a nail specimen collection kit at 36 weeks gestation asking them to provide nail clippings that will be analyzed for Ethyl Glucuronide (EtG). Fingernails will be collected at 36 weeks gestation. Toenails may be collected at 38 weeks gestation as an alternative to fingernails. Nail types may not be mixed for a single specimen collection. Specimens from all available fingernails or toenails weighing 50-100 mg gathered at 36 weeks (fingernails) or 38 weeks (toenails) will allow for sufficient nail growth to capture EtG as evidence of alcohol use concentrated in the timeframe of approximately 20-34 weeks gestation, based on typical fingernail and toenail growth rates. Additionally, this timeframe will allow us to avoid detecting post-delivery alcohol use since it takes approximately two weeks for fingernails and four weeks for toenails to grow sufficiently for detectability. Participants will be reminded of the upcoming nail specimen collection at their 27-week and 34-week data collections, plus reminders will be included when the survey links are sent by text for these data collection timepoints. In the event of preterm birth, nail specimens will be requested immediately. The level of detectability for either nail type will be set at 8 pg/mg, which is the lower level of quantitation used for research (the standard level of detectability used for non-research testing is 20 pg/mg). (NOTE: Biospecimen (nails) collection was discontinued as of 9/30/2025 and specimens were not analyzed after the first 59 samples.)

Inclusion Criteria:

• Age 18-35 years
• Pregnant
• Self-report of alcohol risk (those who score positive on the T-ACE screen (Sokol, Martier, & Ager, 1989), and also report either drinking weekly or more in the past month, or having 4 or more drinks at a time at least monthly in the 12 months before becoming pregnant
• 20 weeks or less gestation
• Planning to give birth in either Connecticut, Massachusetts, or Michigan
• Owning a mobile device that they are willing to use to receive study-related text reminders and to complete online study activities including assessments/boosters
• Completion of baseline assessment (enrollment criterion)

Exclusion Criteria:

• Not planning to carry the baby to term
• Unable to communicate in English

Pregnant female.

Data will be deposited in the National Institute on Alcohol Abuse and Alcoholism Data Archive (NIAAA DA). All collected Individual Participant Data (IPD) at the item level and individual subject level will be shared. The data will be identified only by Global Unique Identifier (GUID; no personally identifiable information will be shared).

In accordance with the Notice of NIAAA Data-Sharing Policy for Human Subjects Grants Research Funded by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) [2nd Revision], Notice Number NOT-AA-19-020, released July 31, 2019: Data will be shared with the general research community 2 years after the grant end date on the initial Notice of Award. However, if a manuscript using study data is accepted for publication prior to the 2-year embargo, the study data specifically used in that manuscript will be shared with the general research community at the time of publication.

For this study, the grant end date is August 31, 2024, making the share date August 31, 2026 unless publication occurs prior to that date, in which case published data will be shared at the time of publication. The data are expected to remain available indefinitely unless sharing is limited by currently unforeseen circumstances.

Access to data for research purposes will be provided through the National Data Archive Data Access Committee (NDA DAC). Investigators and institutions seeking data from the NDA will be expected to meet data security measures and will be asked to submit a Data Use Certification, which is co-signed by the investigator and the designated Institutional Official(s) at the NIH-recognized sponsoring institution with a current Federal Wide Assurance (FWA). The procedures associated with data access are described at https://ndar.nih.gov/ndarpublicweb/policies.go#sop4

Participants will be randomly assigned to a study condition during the baseline assessment by the study software and the assigned condition content will be provided directly to the participant rather than by study staff. The staff member who enrolls the participant will not have access to the assigned condition/content, which will aid in blinding study staff.

The biostatistician and data analyst will be blinded for all hypothesis-testing analyses by coding experimental condition with a non-identifying number, the table for which will be maintained at the PI's office.