A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Managing the work stress of inpatient nurses during the COVID-19 pandemic: a systematic review of organizational interventions. | LitMetric

Background: During the coronavirus disease 2019 (COVID-19) pandemic, inpatient nurses faced various work stressors. Little is known about organizational interventions that can mitigate the negative consequences of pandemic-related stressors.

Objective: The aim was to provide a synopsis of the literature concerning the types and outcomes of organizational interventions performed during the COVID-19 pandemic that directly (re)organized the work structures of inpatient nurses to address pandemic-related work stressors or to increase nurses' ability to cope.

Methods: Within this preregistered systematic literature review, we searched four databases (PubMed, PsycINFO, PsycARTICLES, CINAHL) and two preprint databases (MedRxiv, PsyArXiv) for interventional studies of organizational interventions published between 01/2020 and 03/2023 (k = 990 records). We included 12 primary studies after title-abstract and full-text screening. A synthesis of results without meta-analysis was conducted. Risk of bias was assessed with the Cochrane risk-of-bias tool for randomized trials - version 2 (RoB-2) and Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) tool.

Results: All interventions were implemented in hospitals. The reasons given for implementation included pandemic-related work stressors such as a high workload, understaffing, and a lack of medical resources. To respond to the various work stressors, half of the studies took a multilevel approach combining organizational and person-oriented interventions (k = 6). Most studies (k = 8) took a secondary prevention approach, focusing on the organization of rest breaks (k = 5). With respect to outcomes, the studies examined nurse-related stress and resilience, turnover intention, job satisfaction, and other factors. Risk-of-bias analyses revealed that conclusions about the effectiveness of the interventions are limited due to confounding factors and self-selection.

Conclusions: The identified interventions provide a basis for future research to draw conclusions on the effectiveness of organizational interventions during pandemics. The promotion of adequate work breaks could be useful if the work stressors associated with strain and negative consequences cannot be changed directly. However, the same stressors (e.g., high workload) can hinder nurses from participating in offered interventions. This emphasizes the importance of directly addressing inpatient nurses' work stressors.

Registration: Prospero-ID CRD42023364807 (March 2023).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11437825PMC
http://dx.doi.org/10.1186/s12912-024-02358-1DOI Listing

Publication Analysis

Top Keywords

organizational interventions
20
work stressors
20
inpatient nurses
12
covid-19 pandemic
12
interventions
11
work
8
negative consequences
8
pandemic-related work
8
risk bias
8
stressors high
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!