Determinants of Health Care Technology Adoption Using an Integrated Unified Theory of Acceptance and Use of Technology and Task Technology Fit Model: Systematic Review and Meta-Analysis
Ayesha Thanthrige, Bruce Lu, Zaid Sako, Nilmini Wickramasinghe · 2025
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Description
Ayesha Thanthrige, Bruce Lu, Zaid Sako, and Nilmini Wickramasinghe pool studies on why health care groups adopt new technology, in a review and meta-analysis from 2025. Two known models frame the question. One stresses what drives intent to use a tool, the other stresses how well the tool fits the task at hand.
The team searched many databases for studies from 2012 to 2025 that used one or both models in health care. Only quantitative studies with enough data for pooling were kept. Joining the two models lets the review weigh both user intent and task fit at once. The authors aim to give builders, providers, and policymakers a clear list of what helps new tools take hold.
Catalog record
| CREATOR | Ayesha Thanthrige, Bruce Lu, Zaid Sako, Nilmini Wickramasinghe |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |