Moral distress risk profiling in ICU nurses: A cross-sectional study
BackgroundMoral distress is common among ICU nurses and has been linked to burnout, diminished care quality, and turnover. Which factors matter most - and how they combine to shape individual risk - remains poorly characterised.Research objectiveTo identify factors associated with moral distress in ICU nurses and develop a parsimonious, exploratory risk-profiling model.Research designMulticentre cross-sectional survey with machine learning analysis.Participants and research contextA total of 318 registered nurse…
A gradient boosting machine trained on survey data from 318 ICU nurses predicted high moral distress with high discrimination using six predictors, preserving accuracy after feature reduction.
Exploratory model lacks external validation and is not ready for clinical application, with findings limited to the sampled Chinese tertiary ICU context.
Evidence
- Peer-reviewedNursing Ethics2026-08-13
How should this claim be treated?
Truvace Impact Record TRV-2026-0785, v1: “Moral distress risk profiling in ICU nurses: A cross-sectional study.” Truvace, 2026-08-16. /record/TRV-2026-0785 (accessed at citation time). sha256 6635ae4d0e625214…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0785 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace