Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

Amber S Tran, Pitchaya Chairuengjitjaras, Ameesha Masand

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. 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.

Barriers and Needs for Postpartum Contraception.Maternal and child health journal · 2026
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

3 authors.

Amber S TranDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.

Pitchaya ChairuengjitjarasDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.

Ameesha MasandDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decade, varied state-level policies on contraception access have highlighted the importance of large-scale public health datasets in assessing the impact of these policies on reproductive healthcare access. This study uses PRAMS Phase 8 (2016-2022) data to examine predictive factors of postpartum birth control use, hypothesizing that state policies impact contraception uptake and barriers, particularly regarding the expansion of immediate postpartum long-acting reversible contraception (LARC) reimbursement policies. Two distinct logistic regression models were constructed, and the inclusion of state as a covariate significantly reduced residual deviance (ΔDeviance = 13.696, p=0.0002). This finding indicates that state of residence is a statistically significant predictor of postpartum birth control usage. This study underscores the significant impact of state-level and institutional policies on birth control usage and LARC uptake, emphasizing the need for informed policy changes and patient-centered strategies to address disparities and improve postpartum reproductive health outcomes.

Indexed as

ContraceptionHealth Services AccessibilityLong-Acting Reversible ContraceptionPostpartum PeriodFemaleHealth PolicyHumansUnited States

Identifiers

PMID41726538

PMCPMC12919622

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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.