Evidence map›Paper›PMID 32803006›Full record

ArticleJournal of preventive medicine and hygiene2020

Diffusion of the Italian social media campaign against smoking on a social network and YouTube.

G LA Torre, V D'Egidio, S Guastamacchia, A Barbagallo, A Mannocci

Abstract read
In one paragraph

Article in Journal of preventive medicine and hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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

5 authors.

G LA TorreDepartment of Public Health and Infectious Disease, Sapienza University of Rome.
V D'EgidioDepartment of Public Health and Infectious Disease, Sapienza University of Rome.
S GuastamacchiaDepartment of Public Health and Infectious Disease, Sapienza University of Rome.
A BarbagalloDepartment of Public Health and Infectious Disease, Sapienza University of Rome.
A MannocciDepartment of Public Health and Infectious Disease, Sapienza University of Rome.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecently, the Italian Ministry of Health developed a health prevention campaign against tobacco smoking entitled "Ma che sei scemo? Il fumo fammale" (Are you stupid? Smoking is bad). The aim of this study was to evaluate the diffusion of the ministerial campaign by analyzing data from two web platforms, Facebook and YouTube.

methodThe study evaluated the dissemination of the campaign using the number of users reached, interactions and the interaction index (interactions/users reached) on the web platform Facebook and YouTube. A qualitative analysis of the text comments left by the users was also carried out.

resultThe average number of interactions on Facebook was 6,087 and 400 for YouTube while the total views were 356,967 for Facebook and 174,763 for YouTube. The interaction index was very low for both platforms, between 0 and 1%. A total number of 156 comments were obtained on Facebook and 37 on YouTube, most of which were negative, or comments not related to the campaign.

conclusionsThe Italian campaign had low diffusion on the web platforms investigated. Evidence-based public health interventions can play a central role in the prevention field but must be based on elements of scientific effectiveness. Further research should analyze the effects of social media campaigns on direct health related outcomes.

Indexed as

Health PromotionInformation DisseminationSmoking CessationSocial MediaAdolescentEvaluation Studies as TopicFemaleHumansItalyMalePublic HealthQualitative ResearchVideo RecordingHealth prevention campaignMinistry of HealthSocial mediaTobacco smoke

Identifiers

PMID32803006
PMCPMC7419133

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.