Evidence map›Paper›PMID 39607199›Full record

ReviewRevista brasileira de enfermagem2024

Telenursing contributions in Primary Health Care in the COVID-19 pandemic context: an integrative review.

Patrícia Amidianski, Evangelia Kotzias Atherino Dos Santos, Alacoque Lorenzini Erdmann, Carmem Regina Delziovo, Maria Solange Ferreira Alves, Marli Terezinha Stein Backes

Abstract readReview
In one paragraph

Review in Revista brasileira de enfermagem, 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

6 authors.

Patrícia AmidianskiUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brasil.ORCID 0000-0002-3098-7585
Evangelia Kotzias Atherino Dos SantosUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brasil.ORCID 0000-0002-5970-020X
Alacoque Lorenzini ErdmannUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brasil.ORCID 0000-0003-4845-8515
Carmem Regina DelziovoSecretaria de Estado da Saúde de Santa Catarina. Florianópolis, Santa Catarina, Brasil.ORCID 0000-0001-8815-7608
Maria Solange Ferreira AlvesUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brasil.ORCID 0000-0002-6130-1857
Marli Terezinha Stein BackesUniversidade Federal de Santa Catarina. Florianópolis, Santa Catarina, Brasil.ORCID 0000-0003-3258-359X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto identify telenursing contributions in Primary Health Care during the COVID-19 pandemic.

methodsan integrative literature review, conducted between January and August 2022 in the PubMed, CINAHL, LILACS, BDENF, Scopus, WoS, EMBASE and SciELO databases. A total of 493 studies was found, 62 were read in full, and of these, 16 were selected. For analysis, a dynamic reading of the studies and synthesis of the main results were carried out.

resultsthe main results highlighted telenursing practice as a challenge for professionals and the population. Among the contributions and positive points and aspects that require improvement, practice showed promise when considered in a post-pandemic scenario. FINAL CONSIDERATIONS: through telenursing, the population's access to Primary Health Care was guaranteed in the face of the COVID-19 pandemic. However, a critical look at current technological advances in healthcare is necessary.

Indexed as

COVID-19PandemicsPrimary Health CareSARS-CoV-2TelenursingHumans

Identifiers

PMID39607199
PMCPMC11653881

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.