Evidence map›Paper›PMID 36995823›Full record

ArticleRevista brasileira de enfermagem2023

Outline of a project for nursing health education on the Instagram social network.

Gabriella Picoli Dos Santos Faustino, Matheus Oliveira da Silva, Antonio José de Almeida Filho, Márcia de Assunção Ferreira

Open access · goldFull text read
In one paragraph

Article in Revista brasileira de enfermagem, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Gabriella Picoli Dos Santos FaustinoUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-9545-2215
Matheus Oliveira da SilvaUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-5170-5655
Antonio José de Almeida FilhoUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-2547-9906
Márcia de Assunção FerreiraUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-6991-7066
Universidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesto characterize the outline of a project for health education and its contributions to the propagation of information on the Instagram social network.

methodsexploratory and descriptive research on an Instagram profile called "@resenhadasaude";. Data collection: from July 23, 2020, to April 21, 2021. Interaction metrics were generated on 36 posts. Simple and percentage statistical analysis were applied.

resultsthere are 1,016 followers in Brazil, with a 206.02% growth. The largest audience is teenagers, young people, and women, with a gender difference of 41.8%. The greatest interest was about covid-19, sexual health, and drugs. Followers' misconceptions reinforce the need for the dissemination of quality information.

conclusionsInstagram metrics point to the project's validation in terms of audience interest, mostly adolescents and youth. Instagram proved to be powerful for educational purposes and information dissemination, as well as an autonomous field for nursing.

Indexed as

COVID-19Social MediaAdolescentFemaleHealth EducationHumansInformation DisseminationSocial Networking

Identifiers

PMID36995823
PMCPMC10042475
OpenAlexW4361003576

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read23
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.