Evidence map›Paper›PMID 36326591›Full record

ArticleJournal of nursing management2022

Nurses' perception of solutions proposed by nurse leaders in face of COVID-19 pandemic: A cross-sectional study.

Juliana Santana de Freitas, Roberta Maria Savieto, Ana Laura Queiroz Melo, Isabelle Maria Bortotti, Cláudia Regina Laselva, Eliseth Ribeiro Leão

Abstract read
In one paragraph

Article in Journal of nursing management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Juliana Santana de FreitasHospital Israelita Albert Einstein, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9839-8672
Roberta Maria SavietoHospital Israelita Albert Einstein, São Paulo, Brazil.
Ana Laura Queiroz MeloHospital Israelita Albert Einstein, São Paulo, Brazil.
Isabelle Maria BortottiHospital Israelita Albert Einstein, São Paulo, Brazil.
Cláudia Regina LaselvaHospital Israelita Albert Einstein, São Paulo, Brazil.
Eliseth Ribeiro LeãoHospital Israelita Albert Einstein, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the perception of bedside nurses regarding the implementation of solutions proposed by nurse leaders for patient and employee care during the COVID-19 pandemic.

backgroundNurse leaders have proposed solutions to better manage the challenges of the pandemic. However, multiple factors influence the transposal of actions from the tactical to the operational levels.

methodThis cross-sectional study was carried out in a 620-bed non-profit institution. Participants were bedside nurses who completed an online survey.

resultsOne hundred sixty-eight nurses participated in the study. Most of the proposed solutions were very effective and easily identified by the nurses. These solutions included adaptations of the physical structure, availability of medical supplies and adequacy of institutional protocols. The actions that stood out with low perception were adequate integration of new employees and the availability of remote work, hotel accommodations for frontline health care workers and day care for children whose parents worked at the hospital.

conclusionBedside nurses were able to recognize most of the solutions proposed by their nurse leaders during the COVID-19 pandemic. IMPLICATIONS FOR NURSING MANAGEMENT: Tactical-level nurse leaders need constant proximity to bedside nurses and continuous elucidation of the objectives to be achieved by the strategies adopted.

Indexed as

COVID-19NursesChildCross-Sectional StudiesHumansLeadershipPandemicsPerceptionCOVID-19healthcarehospital personnel administrationleadershipnursing

Identifiers

PMID36326591
PMCPMC9877688

What OpenQuestion holds

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LicenceCC BY
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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.