Evidence map›Paper›PMID 40193332›Full record

ArticlePLOS digital health2025

Evaluation of a Canadian social media platform for communicating perinatal health information during a pandemic.

Gemma Postill, Neesha Hussain-Shamsy, Stephanie Dephoure, Alison Wong, Eliane M Shore, Jeanette Cooper, Negin Pak, Christine Fahim, Danielle Kasperavicius, Tali Bogler

Abstract read
In one paragraph

Article in PLOS digital health, 2025. 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

10 authors.

Gemma PostillInstitute for Health Policy, Management and Evaluation, University of Toronto, Canada.ORCID https://orcid.org/0000-0001-6185-995X
Neesha Hussain-ShamsyInstitute for Health Policy, Management and Evaluation, University of Toronto, Canada.
Stephanie DephoureTemerty Faculty of Medicine, University of Toronto, Canada.
Alison WongTemerty Faculty of Medicine, University of Toronto, Canada.
Eliane M ShoreDepartment of Obstetrics and Gynaecology, St. Michael's Hospital, Toronto, Canada.
Jeanette CooperKnowledge Translation Program, Unity Health Toronto, Toronto, Canada.
Negin PakKnowledge Translation Program, Unity Health Toronto, Toronto, Canada.
Christine FahimInstitute for Health Policy, Management and Evaluation, University of Toronto, Canada.
Danielle KasperaviciusKnowledge Translation Program, Unity Health Toronto, Toronto, Canada.
Tali BoglerTemerty Faculty of Medicine, University of Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media platforms, such as Instagram, are increasingly used as a source of health information; however, it is unclear how to effectively leverage these platforms during public health emergencies. @PandemicPregnancyGuide (PPG) was an Instagram account created by Canadian physicians to provide perinatal health information during the COVID-19 pandemic. We conducted a cross-sectional survey, and assessed Instagram analytics, to determine how and why users followed PPG and its impact on health decision-making. Respondents most valued posts explaining scientific articles in lay language and the delivery of content by medical experts. Topics of greatest interest were COVID-19 vaccination while pregnant (76%), COVID-19 infection during pregnancy (71%), and labour and delivery during the pandemic (69%). Respondents self-reported being more likely to use COVID-19 protective measures while pregnant (80%), receive COVID-19 vaccines in pregnancy (87%), and vaccinate their children against COVID-19 (58%) due to the information shared by PPG. Taken together, we demonstrate how healthcare professionals can effectively leverage social media to disseminate health information and improve uptake of public health recommendations. We recommend consideration of our findings in the development of future health-based social media platforms, particularly during public health emergencies or campaigns.

Identifiers

PMID40193332
PMCPMC11975109

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.