Evidence map›Paper›PMID 37152194›Full record

ArticleJournal of research in nursing : JRN2023

Lessons learned from the impact of the COVID-19 pandemic in Brazil on primary-care workplace learning groups.

Enderson Rodrigues de Carvalho, John Sandars, Dario Cecilio-Fernandes

Open access · greenAbstract read
In one paragraph

Article in Journal of research in nursing : JRN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 2 countries.

Enderson Rodrigues de CarvalhoPhD candidate, School of Medical Sciences (FCM), Department of Medical Psychology and Psychiatry, University of Campinas (UNICAMP), São Paulo, Brazil.ORCID https://orcid.org/0000-0001-8363-2713
John SandarsProfessor, Health Research Institute, Edge Hill University Medical School, Ormskirk, UK.
Dario Cecilio-FernandesResearcher, Department of Medical Psychology and Psychiatry, School of Medical Sciences, University of Campinas (UNICAMP), São Paulo, Brazil.ORCID https://orcid.org/0000-0002-8746-1680
Universidade Estadual de Campinas (UNICAMP) · BREdge Hill University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic in Brazil had a major impact on face-to-face permanent education for health (PEH) workplace learning groups in primary care. Aims: The aim of the study was to explore how PEH groups in primary care changed during the COVID-19 pandemic. Methods: A qualitative exploratory evaluation study was conducted with six key participants, who answered semi-structured questions in on-line interviews. Results: The PEH groups rapidly and successfully implemented an online approach using social media. The role of the coordinator changed from being a facilitator to an information broker for navigating the large volume of conflicting information and misinformation. Conclusions: The findings highlight the importance of being an agile organisation, with a 'bottom-up' approach to innovation, and the key role of having an information broker in rapidly changing and complex environments. An appreciation of the importance of the socio-technical system for technology implementation in an organisation was also highlighted, with the use of technologies that are familiar to members of the organisation.

Indexed as

COVID-19learningnursing educationorganisational innovationprimary health care

Identifiers

PMID37152194
PMCPMC10140770
OpenAlexW4367353515

What OpenQuestion holds

Textmetadata
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.