Evidence map›Paper›PMID 41566255›Full record

ArticleBMC public health2026

No strings attached: a mixed methods evaluation of the acceptability of the San Francisco Abundant Birth Project, a perinatal guaranteed income program.

Monica M De La Cruz, Stephanie Arteaga, Erin M Hubbard, Reiley D Reed, Wyconda Cotton-Curtis, Michaela Taylor, Breezy Powell, Anjeanette Coats, Sabra Bell, Payshia Edwards and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Monica M De La CruzSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA. monicadelacruz@berkeley.edu.
Stephanie ArteagaSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Erin M HubbardSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Reiley D ReedSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Wyconda Cotton-CurtisSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Michaela TaylorExpecting Justice, Oakland, CA, USA.
Breezy PowellSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Anjeanette CoatsSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Sabra BellSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Payshia EdwardsExpecting Justice, Oakland, CA, USA.
Maile ChandSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA.
Troy RobertsExpecting Justice, Oakland, CA, USA.
Brittany Chambers ButcherUniversity of California, Davis, USA.
Deborah KarasekOregon Health and Sciences University, Portland, USA.
Zea MalawaExpecting Justice, Oakland, CA, USA.
Anu Manchikanti GomezSexual Health and Reproductive Equity Program, School of Social Welfare, University of California, Berkeley, USA. anugomez@berkeley.edu.

Funding

UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
Dev-Core-001P2CHD073964 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI EDWARD ANDREW MIGUEL · 2019 to 2026
$2.9M
NICHD NIH HHS K12 HD052163NICHD NIH HHS P2C HD073964
6 · The paper itself

Abstract

backgroundEconomic insecurity during pregnancy is a critical social determinant of maternal and infant health. Traditional public assistance programs often fail to meet the needs of marginalized communities, particularly Black and Pacific Islander (Pasifika) pregnant women and people. Guaranteed income (GI)–unconditional cash transfers for specific populations–has emerged as a potential solution, but little is known about the experiences of participants accessing perinatal GI programs. The current study describes the implementation and acceptability of the San Francisco Abundant Birth Project (ABP), the first perinatal GI pilot program in the U.S. ABP provided $1,000 per month for up to 14 months to 151 Black and Pasifika pregnant individuals in San Francisco, CA, between 2021 and 2024.

methodsWe conducted a mixed-methods participatory evaluation with a subset of program participants (116 survey and 21 interview participants), and asked about program satisfaction, trust, and experience. Community researchers co-led the study design, data collection, and analysis.

resultsParticipants reported being very satisfied (95.7%) with ABP and felt very respected by the staff (95.7%). A majority (77.5%) trusted ABP to act in their best interest, compared to 9.0% who trusted the government to do the same. While some participants initially doubted that the funds from ABP were unconditional, trust grew over time. Qualitative findings emphasized the importance of ABP’s community-centered design and culturally aligned staff in building trust.

conclusionFindings highlight the value of community-rooted GI programs in fostering trust, dignity, and reimagined models of pregnancy support.

Indexed as

Black or African AmericanIncomeNative Hawaiian or Pacific IslanderPerinatal CarePublic AssistanceAdultFemaleHumansInterviews as TopicPilot ProjectsPregnancyProgram EvaluationSan FranciscoBirth equityCommunity-centeredGuaranteed incomePregnancy

Identifiers

PMID41566255
PMCPMC12910867

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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.