Evidence map›Paper›PMID 37425284›Full record

ArticleSAGE open nursing

A Nurses' Guide for Egyptian Women Regarding Female Sexual Function During COVID-19 Pandemic: A Quasi

Azza Ibrahim Abd El-Kader

Open access · goldAbstract read
In one paragraph

Article in SAGE open nursing. 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
0.3field-weighted citation impact, top 38% 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

1 author at 1 institution in 1 country.

Azza Ibrahim Abd El-KaderDepartment of Obstetrics and Gynecological Nursing, Faculty of Nursing, Zagazig University, Zagazig, Egypt.ORCID https://orcid.org/0000-0003-0883-0714
Zagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The pandemic of coronavirus disease 2019 (COVID-19) is still affecting individuals all over the world. Restrictions resulting from lifestyle changes have been demonstrated to cause mental and sexual health issues. Objectives: This research was performed to assess the effect of the COVID-19 pandemic on female sexual function in Egypt and also to assess the knowledge and information for those with sexual dysfunction before and after the administration of nursing guidelines. Methods: A quasi-experimental research design was carried out for women diagnosed with positive COVID-19 at Isolation Hospital in Heart and Chest Hospital-Zagazig University. The study comprised a purposive sample of 496 women who were active COVID-19 patients. A structured interviewing form and a female sexual function index would be utilized to collect data. The nursing guidelines were designed by the researcher and given to women with positive COVID-19 after assessment of their knowledge and information concerning sexual health during this pandemic. Results: According to the findings of this study, the incidence of normal sexual function and sexual dysfunction was 62.7% and 37.3%, respectively. Nearly half of the participating women (46.7%) were 25-34 years of age. 63.7% of them were residing in rural areas. Before guidelines administration: poor knowledge (23.5%), fair knowledge (68.4%), and good knowledge (8.1%); and after intervention: poor knowledge (0.0%), fair knowledge (29.4%), and good knowledge (70.6%) were recorded. Conclusion: Women with sexual dysfunction had statistically higher accurate information following the administration of nursing guidelines regarding sexual function.

Indexed as

COVID-19Egyptian womennursing guidelinessexual function

Identifiers

PMID37425284
PMCPMC10328161
OpenAlexW4382992458

What OpenQuestion holds

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LicenceCC BY-NC
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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.