From Task-Technology Fit to Self-Perceived Performance Impact Among Nurses: Exploring the Statistical Mediation of Self-Reported Utilization of the Clinical Nursing Information System: A Cross-Sectional Study.

Authors

Han Su, Yujiao Zou, Yan Hu, Zheng Yuan, Zhenghong Yu, Chun Yang, Qi Zhang, Wei Qin

Published in

Nursing open. Volume 13. Issue 9. Pages e70798.

Abstract

To examine task-technology fit within a clinical nursing information system and investigate the associations among task characteristics, technology characteristics, task-technology fit, self-reported system utilization, and nurses' self-perceived performance impact.
A cross-sectional study.
This study surveyed 1370 nurses. The survey assessed task characteristics, technology characteristics, task-technology fit, self-reported system utilization, and nurses' self-perceived performance impact.
Task characteristics and technology characteristics were significantly associated with task-technology fit. Task-technology fit and self-reported system utilization were both significantly associated with nurses' self-perceived performance impact. Statistical mediation analysis indicated that self-reported system utilization statistically accounted for part of the association between task-technology fit and self-perceived performance impact. Nurses who received training reported significantly higher scores across all core constructs.
Self-reported system utilization statistically and partially accounted for the association between task-technology fit and nurses' self-perceived performance impact. Improving task-technology fit in clinical nursing information systems may require optimizing the alignment between task demands and technological features, alongside strengthening systematic training.
Healthcare organizations should prioritize both system design optimisation and comprehensive training programmes to enhance task-technology fit and promote effective system utilization, which may support nursing practice efficiency and care quality.
This study addressed the challenge of suboptimal alignment between clinical nursing information systems and nursing practice needs. The main finding revealed that self-reported system utilization plays a key statistical role in linking task-technology fit to nurses' self-perceived performance impact. This research may inform nursing administrators, informaticists, and system developers by providing evidence to guide technology optimisation and training program development.
The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist.
No patient or public contribution. This study focused on registered nurses' professional practice and perceptions regarding the clinical nursing information system.

PMID:
42723000
Bibliographic data and abstract were imported from PubMed on 11 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.