Evidence map›Paper›PMID 40202166›Full record

ArticleJMIR formative research2025

Chatbot to Support the Mental Health Needs of Pregnant and Postpartum Women (Moment for Parents): Design and Pilot Study.

Kelsey McAlister, Lara Baez, Jennifer Huberty, Marianna Kerppola

Registry-linked trialAbstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07223736 (Postpartum Education Via Artificial Intelligence for Recovery and Loneliness), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07223736 narecruitingnot on this mapstarted 2026, after this paper: background citation

Postpartum Education Via Artificial Intelligence for Recovery and Loneliness (PEARL): A Randomized Controlled Trial

TypeinterventionalSponsorUniversity of California, San DiegoRan2026 to 2026Enrolled130ConditionsPelvic Floor Disorder, Loneliness, Postpartum, Mental HealthArmsGenerative artificial intelligence (genAI) postpartum chatbot, Standard of Care (SOC)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kelsey McAlisterFit Minded Inc, 14848 N 46th Place, Phoenix, AZ, 85032, United States, 1 (602) 935-6986.ORCID 0000-0003-1548-4936
Lara BaezFit Minded Inc, 14848 N 46th Place, Phoenix, AZ, 85032, United States, 1 (602) 935-6986.ORCID 0000-0003-3342-2325
Jennifer HubertyFit Minded Inc, 14848 N 46th Place, Phoenix, AZ, 85032, United States, 1 (602) 935-6986.ORCID 0000-0002-0276-4640
Marianna KerppolaPoisera Inc (dba Moment for Parents), Ann Arbor, MI, United States.ORCID 0009-0002-5564-3225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maternal mental health disorders are prevalent, yet many individuals do not receive adequate support due to stigma, financial constraints, and limited access to care. Digital interventions, particularly chatbots, have the potential to provide scalable, low-cost support, but few are tailored specifically to the needs of perinatal individuals. Objective: This study aimed to (1) design and develop Moment for Parents, a tailored chatbot for perinatal mental health education and support, and (2) assess usability through engagement, usage patterns, and user experience. Methods: This study used a human-centered design to develop Moment for Parents, a rules-based chatbot to support pregnant and postpartum individuals. In phase 1, ethnographic interviews (n=43) explored user needs to inform chatbot development. In phase 2, a total of 108 pregnant and postpartum individuals were recruited to participate in a pilot test and had unrestricted access to the chatbot. Engagement was tracked over 8 months to assess usage patterns and re-engagement rates. After 1 month, participants completed a usability, relevance, and satisfaction survey, providing key insights for refining the chatbot. Results: Key themes that came from the ethnographic interviews in phase 1 included the need for trusted resources, emotional support, and better mental health guidance. These insights informed chatbot content, including mood-based exercises and coping strategies. Re-engagement was high (69/108, 63.9%), meaning users who had stopped interacting for at least 1 week returned to the chatbot at least once. A large proportion (28/69, 40.6%) re-engaged 3 or more times. Overall, 28/30 (93.3%) found the chatbot relevant for them, though some noted repetitive content and limited response options. Conclusions: The Moment for Parents chatbot successfully engaged pregnant and postpartum individuals with higher-than-typical retention and re-engagement patterns. The findings underscore the importance of flexible, mood-based digital support tailored to perinatal needs. Future research should examine how intermittent chatbot use influences mental health outcomes and refine content delivery to enhance long-term engagement and effectiveness.

Indexed as

Mental DisordersPostpartum PeriodPregnant PeopleAdultFemaleGenerative Artificial IntelligenceHumansMental HealthPilot ProjectsPregnancyQualitative Researchchatbotdigital healthdigital toolhuman-centered designmaternal healthperinatal support

Identifiers

PMID40202166
PMCPMC11999380

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.