Evidence map›Paper›PMID 40108643›Full record

ArticleBMC nursing2025

Moral sensitivity in Iranian nurses: insights from a nationwide meta-analysis.

Reza Ghanei Gheshlagh, Fazel Dehvan, Ladan Sedighi

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

3 authors.

Reza Ghanei GheshlaghLahore School of Nursing, The University of Lahore, Lahore, Pakistan.
Fazel DehvanSchool of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Ladan SedighiDepartment of Medical and Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. ladannn2000@gmail.com.ORCID http://orcid.org/0000-0002-7275-4464

Funding

Shahid Beheshti University of Medical Sciences IR.SBMU.RETECH.REC.1403.565
6 · The paper itself

Abstract

backgroundMoral sensitivity is essential for nurses to recognize and appropriately respond to ethical issues, understanding the impact of their actions on patient well-being. It improves care quality, ethical decision-making, and equips nurses with skills to handle moral dilemmas in clinical settings. Various studies in Iran have reported different results. Accordingly, this study was conducted to estimate the pooled standardized moral sensitivity score among Iranian nurses.

methodsA systematic search of national and international databases was conducted up until June 2023, yielding 563 articles. After screening by two independent researchers, 52 articles with a total sample size of 11,621 participants were included in the analysis. Any discrepancies were resolved through discussion. Heterogeneity was assessed using the I² index. Subgroup analyses were performed based on the language of the articles, sample size, and country region. Meta-regression analysis was conducted to explore the relationship between the moral sensitivity score and variables such as age, year of publication, and sample size. All analyses were performed using Stata software, version 17.

resultsThe pooled moral sensitivity score was 69% (95% CI: 66-72, I

conclusionThis meta-analysis indicates a moderate level of moral sensitivity among Iranian nurses. While regional and study-related differences were observed, no significant relationship was found between the moral sensitivity score and variables like age, year of publication, or sample size. Publication bias suggests the need for more representative studies to fully understand the factors influencing moral sensitivity in nursing. CLINICAL TRIAL NUMBER: This study is a systematic review and meta-analysis, and not a clinical trial.

Indexed as

IranMeta-analysisMoral sensitivityNurses

Identifiers

PMID40108643
PMCPMC11924682

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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.