Evidence map›Paper›PMID 35721078›Full record

ArticleFrontiers in medicine2022

Virtual Learning Environment of the Brazilian Health System (AVASUS): Efficiency of Results, Impacts, and Contributions.

Ricardo A M Valentim, Carlos A P de Oliveira, Eloiza S G Oliveira, Eduardo L Ribeiro, Soneide M da Costa, Ione R D Morais, Felipe R Dos S Fernandes, Alexandre R Caitano, Cristine M G Gusmão, Aliete Cunha-Oliveira and 4 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Massive Education in Prison Health in Brazil: A Look Beyond the Walls.International journal of environmental research and public health · 2024
    Article
  10. Review
  11. Educommunication in Nutrition and Neurodegenerative Diseases: A Scoping Review.International journal of environmental research and public health · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

14 authors.

Ricardo A M ValentimLaboratory for Technological Innovation in Health, Federal University of Rio Grande Do Norte, Natal, Brazil.
Carlos A P de OliveiraMultidisciplinary Institute of Human Development With Technologies, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Eloiza S G OliveiraMultidisciplinary Institute of Human Development With Technologies, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Eduardo L RibeiroLaboratory for Technological Innovation in Health, Federal University of Rio Grande Do Norte, Natal, Brazil.
Soneide M da CostaDepartment of Distance Education of the Federal University of Rio Grande Do Norte, Natal, Brazil.
Ione R D MoraisDepartment of Distance Education of the Federal University of Rio Grande Do Norte, Natal, Brazil.
Felipe R Dos S FernandesLaboratory for Technological Innovation in Health, Federal University of Rio Grande Do Norte, Natal, Brazil.
Alexandre R CaitanoLaboratory for Technological Innovation in Health, Federal University of Rio Grande Do Norte, Natal, Brazil.
Cristine M G GusmãoDepartment of Biomedical Engineering, Federal University of Pernambuco, Recife, Brazil.
Aliete Cunha-OliveiraHealth Sciences Research Unit: Nursing (UICISA: E) and Nursing School of Coimbra (ESEnfC), Portugal and CEIS-20 da Universidade de Coimbra, Coimbra, Portugal.
Maria C F D RêgoDepartment of Distance Education of the Federal University of Rio Grande Do Norte, Natal, Brazil.
Karilany D CoutinhoLaboratory for Technological Innovation in Health, Federal University of Rio Grande Do Norte, Natal, Brazil.
Daniele M S BarrosLaboratory for Technological Innovation in Health, Federal University of Rio Grande Do Norte, Natal, Brazil.
Ricardo B CeccimGraduate Program in Education, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Virtual Learning Environment of the Brazilian Health System (AVASUS) is a free and open distance education platform of the Ministry of Health (MS). AVASUS is a scalable virtual learning environment that has surpassed 800,000 users, 2 million enrollments, and 310 courses in its catalog. The objective of this paper was to assess the impacts of the educational offerings on health services and AVASUS course participants' professional practice. This study analyzed data from AVASUS, the Brazilian National Registry of Health Care Facilities (CNES), the Brazilian Occupational Classification (CBO), and a questionnaire applied to 720-course participants from five regions of Brazil. After acquiring and extracting data, computational methods were used for the evaluation process. Only the responses of 462 participants were considered for data analysis, as they had a formal link to CNES. The results showed that respondents recommended 76.2% of AVASUS courses to peers. Accordingly, the quality of educational offerings motivated 81.3% of such recommendations. In addition, 75.6% of course participants who answered the questionnaire also indicated that AVASUS course contents contribute to enhancing existing health services in the health facilities where they work. Finally, 24.6% of all responses mentioned that courses available in AVASUS were essential in offering new health services in such facilities.

Indexed as

AVASUScoveragelifelong learning in healthpermanent education in healthscalability

Identifiers

PMID35721078
PMCPMC9201943

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.