Evidence map›Paper›PMID 42186062›Full record

ArticleContraception and reproductive medicine2026

The use of TikTok as a source of medical information regarding tubal ligation: a cross-sectional study.

Emily Bundy, Pranathi Darbha, Ashleigh Post, Dawn M Kopp

Abstract read
In one paragraph

Article in Contraception and reproductive medicine, 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

4 authors.

Emily BundyWashington State University Elson S. Floyd College of Medicine, 412 E Spokane Blvd, Spokane, WA, 99202, USA. emily.bundy@wsu.edu.
Pranathi DarbhaWashington State University Elson S. Floyd College of Medicine, 412 E Spokane Blvd, Spokane, WA, 99202, USA.
Ashleigh PostWashington State University Elson S. Floyd College of Medicine, 412 E Spokane Blvd, Spokane, WA, 99202, USA.
Dawn M KoppWashington State University Elson S. Floyd College of Medicine, 412 E Spokane Blvd, Spokane, WA, 99202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTikTok is a key source of contraceptive information, including female permanent contraception (FPC), for young adults. Therefore, this cross-sectional study seeks to assess the quality of health information regarding FPC as presented in top-viewed TikTok videos.

methodsTwo independent reviewers analyzed 101 most viewed videos with the hashtags #tubal, #tuballigation, and #tubestied for creator demographics, tonality, and content. Statistical analysis using the two sample Wilcoxen rank-sum (Mann-Whitney) test was performed to compare DISCERN and Patient Education Materials Assessment Tool (PEMAT) scores between medical professionals and laypeople.

resultsMany videos portray personal experiences and have a negative tone, highlighting distrust, side effects, and tubal failure resulting in pregnancy. Educational content has a significantly higher average medical accuracy (p = 0.003) and content accessibility (p = 0.02) scores when created by medical professionals as compared to laypeople.

conclusionsAs TikTok promotes engagement over shared concerns, many videos portray a narrative of dissatisfaction and complication following permanent contraception procedures. Healthcare professionals may find value in utilizing the platform to intentionally share credible content and counter misinformation regarding permanent contraceptive methods.

Indexed as

Consumer health informationContraceptionMobile social mediaTikTokTubal ligation

Identifiers

PMID42186062
PMCPMC13418129

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.