Evidence map›Paper›PMID 37038374›Full record

ArticleHeliyon2023

Nurses and midwives' sleep quality and its associated factors during the early COVID-19 pandemic in Iran.

Arezoo Haseli, Farideh Egdampur, Kowsar Qaderi, Mohammad Reza Kaffashian, Ali Delpisheh

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Arezoo HaseliPsychosocial Injuries Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Farideh EgdampurDepartment of Midwifery, Islamic Azad University, Marand, Iran.
Kowsar QaderiSchool of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mohammad Reza KaffashianDepartment of Physiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Ali DelpishehFaculty of Health and Safety Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Medical University of Ilam · IRIslamic Azad University of Marand · IRKermanshah University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Good sleep quality is crucial for medical staff especially nurses and midwives to prevent possible errors and injuries during the providing care. The aim here is to investigate the sleep quality of nurses and midwives during the early corona pandemic and its related factors. Methods: An online observational and cross-sectional study included 340 medical staff who engaged in the treatment of patients with COVID-19 infection in 2020. Participants completed questionnaires about working characteristics, Pittsburgh Sleep Quality Index (PSQI), and Social Support Indexes (SSI). Pearson's correlation analysis and Multivariate logistic regression identified the interactions between these factors. Results: The mean PSQI and SSI were 8.4 ± 4.46 and 28.6 ± 13.29, respectively, indicating poor sleep quality and moderate social support. The condition of the participants was serious in terms of sleep efficiency, and sleep disturbance. More than half of the participants reported severe and very serious daytime dysfunction. Poor sleep quality was more common, in nurses than in midwives (OR:0.074, CI; 0.032-0.098, P < 0.001), nurses working in intensive care units than in other wards (OR:1.082, CI; 1.003-4.023, P = 0.005), in people who had long shifts (OR:1.757, CI; 1.123-4.323, P = 0.003), and in people working more than 5 years (OR:4.949, CI; 1.673-6.023, P = 0.028). Social support has a statistically significant relationship with the quality of sleep (OR:0.013, CI; 0.001-0.244, P = 0.004). Conclusion: The sleep quality of the medical staff has been impaired during the epidemic period, especially among nurses. Targeting staff who are more prone to sleep disturbance, such as nurses with longer work experience, helps us design an optimal strategy to support them through sleep hygiene education.

Indexed as

COVID-19Medical staffMidwifeNurseSleep qualitySocial support

Identifiers

PMID37038374
PMCPMC10065052
OpenAlexW4362578751

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Registered trials

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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.