Evidence map›Paper›PMID 42591608›Full record

ArticleFrontiers in public health2026

Beyond awareness: social media, artificial intelligence, and the PCOS knowledge gap among women in Palestine.

Aisha M Zoabi, Layan A Salah, Tasneem Z Deeb, Jana N Igbaria, Adele A Mustafa, Qamar M AbedRabbo, Sadeen F Amer, Deema N Al-Muhtaseb, Taimaa Z Al-Haddad, Dyalla A Kayed and 4 more

Abstract read
In one paragraph

Article in Frontiers in 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

14 authors.

Aisha M ZoabiFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Layan A SalahFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Tasneem Z DeebFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Jana N IgbariaFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Adele A MustafaFaculty of Medicine, An-Najah National University, Nablus, Palestine.
Qamar M AbedRabboFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Sadeen F AmerFaculty of Medicine, Arab American University, Ramallah, Palestine.
Deema N Al-MuhtasebFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Taimaa Z Al-HaddadFaculty of Medicine, Hebron University, Hebron, Palestine.
Dyalla A KayedFaculty of Medicine, An-Najah National University, Nablus, Palestine.
Mayar Z DeebFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Dareen A Al QasrawiFaculty of Medicine, Palestine Polytechnic University, Hebron, Palestine.
Alhareth M AmroFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Salahaldeen DeebFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polycystic ovary syndrome (PCOS) requires sustained health literacy, yet the degree to which digital exposure translates into accurate understanding remains uncertain in Palestine. This study evaluated PCOS awareness, objective knowledge, social media influence, and artificial intelligence (AI) use among Palestinian women. Methods: An analytical cross-sectional online survey was conducted among 981 Palestinian women aged 18 years or older between January and February 2026 using convenience and snowball recruitment through digital platforms. The questionnaire assessed sociodemographic characteristics, self-reported physician-diagnosed PCOS, information sources, awareness, factual knowledge, social media influence, credibility behavior, and use of ChatGPT or similar generative conversational AI tools for PCOS-related information. Descriptive, bivariate, correlation, and multivariable models were applied. Because recruitment was online and non-probability based, findings should be interpreted as reflecting respondents in this sample rather than population-level estimates for all Palestinian women. Results: Participants had high awareness (mean 38.5 ± 7.6 of 50), with 64.8% categorized as highly aware, but objective knowledge was moderate (mean 10.9 ± 2.3 of 20), with only 3.2% achieving good knowledge. Social media was the most common information source (37.2%) and correlated positively with awareness ( Conclusion: Among respondents in this online Palestinian sample, PCOS recognition was broad, but actionable objective knowledge remained incomplete. Social media exposure and AI use were common; however, AI use was not independently associated with awareness or knowledge after adjustment, suggesting that it may reflect broader digital information-seeking rather than independently improving PCOS literacy. Structured, clinician-supported, and culturally responsive digital health literacy programs are needed to address misconceptions and support safer appraisal of online and AI-generated PCOS information.

Indexed as

ArabsArtificial IntelligenceHealth Knowledge, Attitudes, PracticeHealth LiteracyPolycystic Ovary SyndromeSocial MediaAdolescentAdultCross-Sectional StudiesFemaleHumansMiddle AgedSurveys and QuestionnairesYoung Adultartificial intelligenceawarenessChatGPTdigital healthhealth literacyknowledgePalestinePCOS

Identifiers

PMID42591608
PMCPMC13462452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.