ArticleJournal of community health2019
Factors Shaping Women's Pre-abortion Communication with Members of Their Social Network.
Article in Journal of community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Abortion stigma among people seeking abortion care in high-income countries: a mixed-methods systematic review.Sexual and reproductive health matters · 2025Pooled it
- 'Come on, Give Me the Pills Now': A Narrative Analysis of Reproductive Agency in Self-Managed Abortion in Argentina.Sociology of health & illness · 2026Article
- "I'm Pregnant, What Do I Do?": Exploring How People Having Abortions in Britain Find and Use Online Sources of Information.Perspectives on sexual and reproductive health · 2025Article
- Using Natural Language Processing to Describe the Use of an Online Community for Abortion During 2022: Dynamic Topic Modeling Analysis of Reddit Posts.JMIR infodemiology · 2025Article
- [Barriers to accessing abortion care: an analysis from the perspective of unintended pregnant women-findings from the ELSA study].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- The Dobbs Decision and the Future of Occupational Health in the US.Occupational health science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
To understand women's pre-abortion conversations with members of their social network about their abortion decision. Semi-structured interviews were conducted with women presenting for first-trimester surgical abortion at a high volume, hospital-based abortion clinic. Women were asked their reasons for discussing or not discussing abortion and responses received after disclosing their abortion decision. Interviews were transcribed and computer-assisted content analysis was performed. Salient themes are presented. Thirty women who obtained an abortion were interviewed. All but three spoke to at least one member of their social network about their abortion decision making. However, women were very selective about whom they spoke to regarding this decision. Reasons not to discuss their abortion decision included: concerns about judgment, desiring to maintain privacy, and certainty about their decision. Reasons to discuss their abortion decision included: seeking information about the procedure, needing guidance about their decision, wanting support for their decision to proceed with abortion. While many were concerned about being judged, most women who spoke about their decision experienced a positive response. Though most women in this study had at least one person to turn to for assistance with abortion decision making, many participants avoided confiding in some or all members of their social network about their abortion decision due to concerns of judgment and stigma.
Indexed as
Identifiers
What OpenQuestion holds
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.