Evidence map›Paper›PMID 41345938›Full record

ArticleBMC nursing2025

From depletion to distress: identifying the nonlinear relationship and core intervention target through computational simulation modelling between compassion fatigue and moral distress among ICU nurses: a cross-sectional study.

Xutong Zheng, Xiaoquan Zhu, Aiping Wang

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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 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xutong ZhengDepartment of Public Service, The First Affiliated Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning Province, China.ORCID http://orcid.org/0000-0002-9236-1764
Xiaoquan ZhuDepartment of Intensive Care Unit, The Affiliated Huaian First People's Hospital of Nanjing Medical University, Huian'an, China.
Aiping WangDepartment of Public Service, The First Affiliated Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning Province, China. apwang@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensive Care Unit (ICU) nurses are at high risk for compassion fatigue and moral distress. Grounded in the Conservation of Resources Theory, this study proposes that compassion fatigue depletes emotional resources, thereby intensifying moral distress. However, the specific pathway and key components driving this relationship remain unclear.

objectiveTo investigate the nonlinear relationship between compassion fatigue and moral distress among ICU nurses and to identify core symptoms of compassion fatigue that most significantly influence moral distress.

methodsA nationwide cross-sectional online survey was conducted from July to December 2023, recruiting 645 ICU nurses from China. Compassion fatigue and moral distress were assessed using the Professional Quality of Life Scale and the Moral Distress Scale-Revised, respectively. The dose-response relationship was analyzed using restricted cubic splines, with moral distress as the outcome and compassion fatigue as the predictor, and network analysis with in silico interventions was applied to identify key compassion fatigue symptoms affecting moral distress.

resultsA significant nonlinear relationship was identified of compassion fatigue on moral distress (nonlinear F = 10.02, p < 0.01; adjusted model R² = 0.161), with moral distress increasing sharply at moderate compassion fatigue levels before plateauing. Network analysis and in silico simulations revealed three core compassion fatigue symptoms with the strongest influence on moral distress: “feeling trapped in the helping system” (a burnout symptom), “difficulty remembering important work aspects” (a secondary traumatic stress symptom), and “being a very sensitive person” (a secondary traumatic stress-related trait). Adjusting these symptoms led to significant changes in moral distress levels.

conclusionThis study confirms a nonlinear relationship of compassion fatigue on moral distress and identifies actionable targets for intervention. Addressing specific compassion fatigue symptoms can disrupt the resource loss spiral, offering a strategic approach to enhancing ICU nurse well-being and care quality. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Bridge symptomsCompassion fatigueConservation of resources theoryDose-Response relationshipICU nursesIn silico interventionMoral distressNetwork analysisOccupational health

Identifiers

PMID41345938
PMCPMC12781292

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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.