Observational studyNursing open2026
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.
Observational study in Nursing open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The trial behind it
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Who cites it
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Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
aimTo 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.
designA cross-sectional study.
methodThis study surveyed 1370 nurses. The survey assessed task characteristics, technology characteristics, task-technology fit, self-reported system utilization, and nurses' self-perceived performance impact.
resultsTask 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.
conclusionSelf-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. IMPLICATIONS FOR NURSING PRACTICE: 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. IMPACT: 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. REPORTING
methodThe study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. This study focused on registered nurses' professional practice and perceptions regarding the clinical nursing information system.
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