Evidence map›Paper›PMID 42068524›Full record

ArticleMaternal and child health journal2026

Community-Led Solutions to Address Black Maternal and Infant Mortality Through the TNT-PISP Model: A Qualitative Study.

Morgan S White, Deejay Zwaga, Laura E T Swan, Baillie Frizell-Thomas, Obiageli Oniah, Jasmine Y Zapata

Abstract read
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Article in Maternal and child health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Morgan S WhiteDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin- Madison, Madison, USA. morgan.white@fammed.wisc.edu.ORCID http://orcid.org/0000-0002-1309-9594
Deejay ZwagaSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.
Laura E T SwanReproductive Equity Action Lab, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.ORCID http://orcid.org/0000-0002-1371-3582
Baillie Frizell-ThomasDepartment of Family Medicine, University of Colorado, Boulder, USA.ORCID http://orcid.org/0009-0009-2339-2450
Obiageli OniahSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA.ORCID http://orcid.org/0009-0000-3659-7986
Jasmine Y ZapataDepartment of Pediatrics, School of Medicine and Public Health, Department of Health Services, University of Wisconsin-Madison & Wisconsin, Madison, USA.ORCID http://orcid.org/0000-0002-6303-5804

Funding

Wisconsin Partnership Program Wisconsin Partnership Program
6 · The paper itself

Abstract

objectivesIn both the U.S. and Wisconsin, Black women and infants experience significantly higher rates of morbidity and mortality than their white counterparts. Our research team set out to explore how a community-based and culturally informed perinatal support model could address the needs of Black mothers and their families.

methodsWe developed and implemented the Today Not Tomorrow Pregnancy and Infant Support Program (TNT-PISP), a community-based, culturally informed perinatal support model integrated with traditional obstetrical care. From October 2019 to August 2022, we held monthly support group sessions facilitated by Black community-based doulas, Black physicians, and community partners. Twenty-five participants engaged in topic-focused and freeform sessions to discuss mental health, breastfeeding, peripartum care, and medical racism. Data were collected through semi-structured interviews and focus groups and analyzed using the Daughtering Method and reflexive thematic analysis.

resultsParticipants emphasized the importance of shared Black identity and culture in fostering connection and trust. The group's open, judgment-free environment allowed for meaningful conversations and emotional support. Participants valued the exchange of parenting knowledge and community resources. The program's flexible structure and child-friendly setting were key strengths, enabling consistent participation despite busy schedules. CONCLUSIONS FOR PRACTICE: This study highlights the potential of community-based, culturally informed perinatal support programs to promote health equity for Black women and infants. Future research should explore such programs' long-term impacts and scalability in diverse settings. Continued efforts to integrate culturally relevant care models into traditional healthcare systems may help promote health inequities in Black communities.

Indexed as

Black or African AmericanInfant MortalityAdultDoulasFemaleFocus GroupsHumansInfantInfant, NewbornMothersPerinatal CarePregnancyQualitative ResearchSocial SupportWisconsinCommunity healthHealth disparitiesPrenatal careSupport groups

Identifiers

PMID42068524
PMCPMC13190512

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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.