Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Шкала оценки удобства использования системы для медицинских приложений× | Шкала принятия цифрового здравоохранения× | |
|---|---|---|
| Область | Медицинская информатика | Медицинская информатика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1996 | 1989 |
| Автор метода≠ | John Brooke | Fred D. Davis (Technology Acceptance Model); extended by Venkatesh et al. (Unified Theory of Acceptance and Use of Technology) |
| Тип | Self-report questionnaire | Self-report questionnaire |
| Основополагающий источник≠ | Brooke, J. (1996). SUS—A quick and dirty usability scale. In P. W. Jordan, B. Weerdmeester, A. Thomas, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). Taylor & Francis. ISBN: 978-0-7484-0635-1 | Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. DOI ↗ |
| Другие названия≠ | SUS-Health, System Usability Scale, SUS | DHAS, Digital Health Acceptance |
| Связанные | 3 | 3 |
| Сводка≠ | The System Usability Scale (SUS) is a rapid, validated tool for measuring perceived usability of digital products, widely adapted for health applications. Developed by John Brooke in 1996 and extensively validated by Bangor and colleagues, the 10-item SUS generates a single composite score reflecting users' subjective perception of ease of use, learnability, and overall system quality. Its simplicity and robustness have made it the de facto standard for usability assessment in health technology research. | The Digital Health Acceptance Scale measures the extent to which patients and providers perceive digital health technologies as useful, easy to use, and worth adopting. Grounded in Davis's Technology Acceptance Model (TAM) and extended by Venkatesh and colleagues through the Unified Theory of Acceptance and Use of Technology (UTAUT), the scale captures both intrinsic factors (usefulness, ease of use, subjective norms) and contextual factors (facilitating conditions, effort expectancy) that predict technology adoption and sustained use in healthcare settings. |
| ScholarGateНабор данных ↗ |
|
|