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This research aims to understand the factors influencing mobile health adoption among healthcare professionals and its effects on quality of care.

Analyzing healthcare professionals’ perceptions of mHealth application adoption: task-technology fit model approach

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Cross-sectional study analyzes mHealth adoption determinants in healthcare professionals, indicating perceived fit drives care quality.

This research aims to understand the factors influencing mobile health adoption among healthcare professionals and its effects on quality of care.
Cross-sectional study conducted in three urban districts in Algeria with 149 healthcare professionals.
Used Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze survey data.
Assessed model validity through bootstrapping with 5,000 samples.
Task-Technology Fit significantly influenced perceived quality of care (\(\beta = 0.676,\, p < 0.001\)).
Self-efficacy positively impacted Task-Technology Fit but did not affect utilization behavior.
Model explained 54.2% of variance in perceived quality of care with strong predictive validity (Q 2 = 0.378).

Hamadi et al. (2026) studied this question.

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