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Presenteeism, health-related productivity loss, burnout, quality of nursing care, and retention intention among nurses: a structural equation modeling study.

Created on 16 Oct 2026

Authors

Mengyun Peng, Jiqin Ma, Wenyu Shi, Suyan Chen, Zixuan Zhang, Xiaoling Zhu

Published in

Frontiers in public health. Volume 14. Pages 1962028. Epub Oct 14, 2026.

Abstract

The interrelationships between presenteeism, health-related productivity loss, burnout, quality of nursing care, and retention intention remain insufficiently understood in nursing populations.
This study examined the associations between presenteeism, health-related productivity loss, burnout, quality of nursing care, and retention intention.
A cross-sectional survey was conducted involving 511 nurses. Composite scores from the Work Productivity and Activity Impairment (WPAI) questionnaire, the Maslach Burnout Inventory - Human Services Survey (MBI-HSS), the Quality of Nursing Care Tool, and the Nurse Retention Intention Scale were analyzed using an observed-composite path structural equation modeling (SEM) approach. Indirect effects were estimated using 5,000 bootstrap resamples with percentile-based 95% confidence intervals.
Presenteeism was positively associated with burnout (β = 0.262, p < 0.001) and negatively associated with the quality of nursing care (β = -0.250, p < 0.001) and retention intention (β = -0.334, p < 0.001). Burnout was negatively associated with the quality of nursing care (β = -0.177, p < 0.001) and retention intention (β = -0.179, p < 0.001). Bootstrap analyses indicated indirect associations between presenteeism and productivity loss and both outcomes through burnout. The model showed an acceptable but imperfect fit: χ2 (4) = 13.151, CFI = 0.959, TLI = 0.877, RMSEA = 0.067, and SRMR = 0.043.
Higher presenteeism was statistically associated with lower retention intention and poorer nursing care quality, both directly and indirectly, through burnout. Health-related productivity loss showed indirect associations with both outcomes through burnout.

PMID:
42877076
Bibliographic data and abstract were imported from PubMed on 16 Oct 2026.

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