Evidence map›Paper›PMID 36118489›Full record

ArticleFrontiers in psychology2022

Strategies to prevent workplace sexual harassment among Iranian nurses: A qualitative study.

Maryam Zeighami, Mohammad Ali Zakeri, Parvin Mangolian Shahrbabaki, Mahlagha Dehghan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

4 authors.

Maryam ZeighamiDepartment of Nursing and Midwifery, Kerman Branch, Islamic Azad University, Kerman, Iran.
Mohammad Ali ZakeriDeterminants of Health Research Centre, Non-communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Parvin Mangolian ShahrbabakiDepartment of Critical Care Nursing, Razi Faculty of Nursing and Midwifery, Kerman University of Medical Sciences, Kerman, Iran.
Mahlagha DehghanDepartment of Critical Care Nursing, Razi Faculty of Nursing and Midwifery, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sexual harassment in the workplace has many negative consequences for nurses and the delivery of patient care. Appropriate policies and strategies can help to create a safe work environment for nurses. Therefore, the present study aimed to investigate Iranian nurses' strategies for preventing sexual harassment in the workplace. Materials and methods: This qualitative descriptive-explorative study used conventional content analysis to investigate how Iranian nurses cope with sexual harassment ( Results: One hundred and twelve codes, one main category, four categories, and 12 subcategories were extracted. The main category, strategies to prevent sexual harassment among nurses in the workplace, includes four categories: behavioral response, working conditions adjustment, informing, and performance of hospital security guards. The most common strategy used by nurses was behavioral response. Conclusion: Basic measures are required to prevent sexual misconduct against nurses, which is an obvious part of the professional organizational culture. Managers and policymakers should develop workplace ethics, legal accountability, and safety. They should also develop training programs and prevention strategies to help nurses improve their coping skills. Further quantitative and qualitative research in other healthcare groups is required to confirm the findings of this study.

Indexed as

nursesqualitative studysexual harassmentstrategyworkplace

Identifiers

PMID36118489
PMCPMC9477222

What OpenQuestion holds

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LicenceCC BY
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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.