ArticleFrontiers in public health2026
Computer self-efficacy and technostress as independent predictors of job burnout among community healthcare professionals: a cross-sectional study.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The digital transformation of healthcare has introduced new occupational stressors-including technostress-that may contribute to job burnout among community healthcare professionals. This study aimed to investigate how technostress and computer self-efficacy influence job burnout, specifically determining if they act through independent pathways or mediation. Methods: A cross-sectional survey was conducted among 329 community healthcare professionals between November and December 2025. Data were collected using the Computer Self-Efficacy Scale, the Technostress Scale, and the Maslach Burnout Inventory-General Survey. Structural equation modeling and bootstrapping with 5,000 resamples were employed to analyze path relationships and examine mediation effects. Results: Computer Self-Efficacy exerted significant negative direct effects on exhaustion and cynicism, and a positive effect on professional efficacy (all Conclusion: Computer Self-Efficacy and technostress affect job burnout through distinct, independent pathways. High Computer Self-Efficacy protects workers psychologically but cannot neutralize the stress caused by system design and structural factors. To reduce burnout in digital healthcare settings, organizational-level interventions must go beyond individual training and actively improve the usability of health information systems.
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