Evidence map›Paper›PMID 41601231›Full record

ArticleStudies in family planning2026

Moving Beyond Unintended Pregnancy: Development of a Person-Centered Conceptual Framework and Measure of Self-Assessed Pregnancy Acceptability.

Sonya Borrero, Colleen Judge-Golden, Christine Dehlendorf, Lisa S Callegari, Megan E Hamm, Flor A Cameron, Galen E Switzer, Sarah Wulf, Elizabeth A Mosley

Abstract read
In one paragraph

Article in Studies in family planning, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Sonya Borrero
Colleen Judge-Golden
Christine Dehlendorf
Lisa S Callegari
Megan E Hamm
Flor A Cameron
Galen E Switzer
Sarah Wulf
Elizabeth A MosleyORCID 0000-0001-9534-2457

Funding

Development and validation of a novel, person-centered measure of post-conception pregnancy acceptabilityR01HD103286 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BORRERO, SONYA B., SWITZER, GALEN E. · 2020 to 2024
$3.1M
NICHD NIH HHS R01 HD103286
6 · The paper itself

Abstract

Sexual and reproductive health (SRH) research, programming, policy, and services have long relied on the narrow paradigm of "pregnancy intendedness and planning," including its "unintended pregnancy" measure. This framework is limited and problematic, overlooking diverse perspectives on pregnancy, structural factors, and non-parenting outcomes such as abortion and adoption. In response, we developed the Self-Assessed Pregnancy Acceptability (SAPA) framework and measure as a person-centered alternative. The SAPA framework was developed by centering the lived experiences of pregnant people in Texas, Tennessee, Pennsylvania, and California through baseline interviews shortly after pregnancy confirmation (N = 31) and follow-up post-pregnancy interviews (N = 14). Development was also informed by a diverse Expert Panel (N = 19) including reproductive justice leaders, reproductive measurement experts, and lived experience experts. Using cognitive interviews (N = 13), we refined an 11-item measure of SAPA that is currently being validated in a nationwide sample of nearly 600 people in early pregnancy. Following validation, SAPA could be integrated into national and state-level epidemiological surveillance surveys such as the National Survey of Family Growth and the Pregnancy Risk Assessment Monitoring System. This novel framework and measure offer an alternative to unintended pregnancy and contribute to an ecosystem of person-centered, rigorously developed measures of SRH equity.

Indexed as

Pregnancy, UnplannedSelf-AssessmentAdolescentAdultFemaleHumansInterviews as TopicPregnancyYoung Adult

Identifiers

PMID41601231
PMCPMC12924153

What OpenQuestion holds

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Registered trials

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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.