Evidence map›Paper›PMID 39166225›Full record

ArticleActa medica Philippina2024

Social Media Promotion of a Telehealth-based Vaccine Delivery System at the Outpatient Department: a Quasi-Experimental Study.

Ronan Aldous M Catanghal, Jardine S Sta Ana

Abstract read
In one paragraph

Article in Acta medica Philippina, 2024. 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

2 authors.

Ronan Aldous M CatanghalDepartment of Family and Community Medicine, Philippine General Hospital, University of the Philippines Manila.
Jardine S Sta AnaDepartment of Family and Community Medicine, Philippine General Hospital, University of the Philippines Manila.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: COVID-19 pandemic gave rise to an increase in demand for pneumococcal and influenza vaccines. Several approaches to improve vaccination rates among different populations were investigated to address this need. Social media may be used as a platform to promote and improve vaccination rates. The study aimed to determine the effect of social media promotion, on the number of patients requesting vaccination in a government tertiary hospital. Methods: The study was conducted using a quasi-experimental design. A telehealth-based vaccination delivery system was established. The need for vaccination against flu and pneumonia was then promoted on a social media platform during the first month of the study. Posters on the risk of not being vaccinated and safety profile of vaccines were added on the second month. The number of requests for vaccination for each month was compared. Social media metrics of the two months of the study were likewise described. Results: A total of 23 requests for vaccination were recorded, 11 on the first month and 12 on the second month. When a boost in advertising for the posts was implemented, twice as many requests were made during the third week of the second month as compared to the previous month (5 vs 10). Social media promotion with poster showed higher average in reach, engagement and comments per week than without poster. The mean differences among the social media metrics, however, were not statistically significant. Conclusion: Promotion with posters resulted in a slight increase in number of vaccination requests. Further increase in requests may require a more refined social media promotional strategy.

Indexed as

influenza vaccinepneumococcal vaccinesocial media promotiontelehealth

Identifiers

PMID39166225
PMCPMC11330995

What OpenQuestion holds

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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.