Evidence map›Paper›PMID 39997268›Full record

ReviewHealthcare (Basel, Switzerland)2025

Moral Distress and Emotional Exhaustion in Healthcare Professionals: A Systematic Review and Meta-Analysis.

Alejandro Orgambídez, Yolanda Borrego, F Javier Alcalde, Auxiliadora Durán

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Predictors of Moral Distress Among Nurses: A Cross-Sectional Study.International journal of environmental research and public health · 2026
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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.

Alejandro OrgambídezDepartment of Social Psychology, Universidad de Málaga, 29071 Malaga, Spain.ORCID 0000-0003-3785-4336
Yolanda BorregoDepartment of Social and Educational Psychology, Universidad de Huelva, 21007 Huelva, Spain.
F Javier AlcaldeDepartment of Social Psychology, Universidad de Málaga, 29071 Malaga, Spain.
Auxiliadora DuránDepartment of Social Psychology, Universidad de Málaga, 29071 Malaga, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMoral distress is commonly experienced by healthcare professionals (i.e., nurses) as ethical conflict. Previous literature suggests that moral distress contributes to emotional exhaustion in these professionals. We aimed to synthesize and analyze studies that examined the relationship between moral distress and emotional exhaustion in healthcare professionals.

methodsWeb of Science, Scopus, PubMed, Medline, and PsycInfo were used to search targeted studies written in English, Spanish, French, Italian, and Portuguese. The correlation coefficients of each study were extracted and converted into Fisher's

resultsA total of 14 studies with 2425 healthcare professionals were included. The Moral Distress Scale Revised (MDS-R) and the Maslach Burnout Inventory (MBI) were the most used scales to measure moral distress and emotional exhaustion, respectively. The pooled correlation coefficient between moral distress and emotional exhaustion was 0.33 (

conclusionsMoral distress is strongly correlated to emotional exhaustion in healthcare professionals. Future studies should focus on exploring the causal relationships between both variables as well as investigating potential moderators.

Indexed as

correlation coefficientemotional exhaustionhealthcare professionalsmeta-analysismoral distresssystematic review

Identifiers

PMID39997268
PMCPMC11855070

What OpenQuestion holds

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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.