পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| স্বাস্থ্য অ্যাপ্লিকেশনগুলির জন্য সিস্টেম ব্যবহারযোগ্যতা স্কেল× | ডিজিটাল স্বাস্থ্য গ্রহণ যোগ্যতা পরিমাপক (Digital Health Acceptance Scale)× | |
|---|---|---|
| ক্ষেত্র | স্বাস্থ্য তথ্যবিজ্ঞান | স্বাস্থ্য তথ্যবিজ্ঞান |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1996 | 1989 |
| প্রবর্তক≠ | John Brooke | Fred D. Davis (Technology Acceptance Model); extended by Venkatesh et al. (Unified Theory of Acceptance and Use of Technology) |
| ধরন | Self-report questionnaire | Self-report questionnaire |
| মৌলিক উৎস≠ | 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 ↗ |
| অপর নাম≠ | SUS-Health, System Usability Scale, SUS | DHAS, Digital Health Acceptance |
| সম্পর্কিত | 3 | 3 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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