পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মোবাইল হেলথ এনগেজমেন্ট স্কেল (Mobile Health Engagement Scale)× | ডিজিটাল স্বাস্থ্য গ্রহণ যোগ্যতা পরিমাপক (Digital Health Acceptance Scale)× | |
|---|---|---|
| ক্ষেত্র | স্বাস্থ্য তথ্যবিজ্ঞান | স্বাস্থ্য তথ্যবিজ্ঞান |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2017 | 1989 |
| প্রবর্তক≠ | Oliver Perski, Anna Blandford, Robert West, Susan Michie | 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≠ | Perski, O., Blandford, A., West, R., & Michie, S. (2017). Conceptualising engagement with digital behaviour change interventions: a systematic review, meta-analysis and integrated framework. European Health Psychologist, 19(2), 519–552. link ↗ | 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 | mHealth Engagement, Mobile Health Engagement | DHAS, Digital Health Acceptance |
| সম্পর্কিত | 3 | 3 |
| সারসংক্ষেপ≠ | The Mobile Health Engagement Scale measures the extent to which individuals engage with mobile health applications and digital behaviour change interventions. Developed through systematic review and meta-analysis by Perski and colleagues (2017), it captures both behavioural and psychological dimensions of engagement—frequency of use, depth of interaction, and subjective satisfaction—essential for understanding the effectiveness of mHealth interventions in real-world settings. | 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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