Evidence map›Paper›PMID 36044440›Full record

ArticleJournal of nursing management2022

The experience of moral distress by chief nurse officers during the COVID-19 pandemic: A descriptive phenomenological study.

Azize Atli Özbaş, Mustafa Sabri Kovancı

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

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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

2 authors.

Azize Atli ÖzbaşFaculty of Nursing, Psychiatric Nursing Department, Hacettepe University, Ankara, Turkey.ORCID https://orcid.org/0000-0001-7614-6354
Mustafa Sabri KovancıFaculty of Nursing, Psychiatric Nursing Department, Hacettepe University, Ankara, Turkey.ORCID https://orcid.org/0000-0002-9656-7858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study is to explore the moral distress experiences of nurse officers during the COVID-19 pandemic.

backgroundMoral distress has emerged as a challenge for nurses ad nurse leaders, revealing the need for health professionals and health care managers to examine, understand and deal with moral distress un Nurse leaders.

methodsIt is a descriptive phenomenological study that used content analysis.

resultsThirteen chief/assistant nurse officers were interviewed, and four themes were identified: being a manager in the pandemic, situations that cause moral distress, effects of moral distress and factors that reduce moral distress.

conclusionFaced with various expectations, such as the management of unusual and uncertain processes, and the management of the psychological responses of both employees and themselves, chief nurse officers struggled significantly to maintain their moral integrity and experienced moral distress during the COVID-19 pandemic. IMPLICATIONS FOR NURSING MANAGEMENT: Extraordinary situations such as pandemics have factors that led to moral distress for a Chief Nursing Officer (CNO). Health care systems in which nurse managers are excluded from decision-making processes have a traditional hierarchical structure that ignores CNOs professional autonomy, contributing to the development of moral distress. Therefore, CNOs should engage in self-reflection to recognize their own moral distress experiences, examine the existing health system to identify the factors that cause moral distress and take actions to implement changes to eliminate these factors. To cope with moral distress, CNOs should also improve their communication skills, team collaboration skills and the use of scientific knowledge and take responsibility in their managerial role.

Indexed as

COVID-19Nurse AdministratorsHumansMoralsPandemicsStress, PsychologicalCovid-19moral distressnurse managersnursing

Identifiers

PMID36044440
PMCPMC9537956

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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.