השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מדד מעורבות מטופלים× | סולם קבלת בריאות דיגיטלית× | |
|---|---|---|
| תחום | אינפורמטיקה רפואית | אינפורמטיקה רפואית |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2004 | 1989 |
| הוגה השיטה≠ | Judith H. Hibbard, Janice Stockard, Ellen R. Mahoney, Martin Tusler | Fred D. Davis (Technology Acceptance Model); extended by Venkatesh et al. (Unified Theory of Acceptance and Use of Technology) |
| סוג | Self-report questionnaire | Self-report questionnaire |
| מקור מכונן≠ | Hibbard, J. H., Stockard, J., Mahoney, E. R., & Tusler, M. (2004). Development of the Patient Activation Measure (PAM): Conceptualizing and measuring activation in patients and consumers. Health Services Research, 39(4), 1005–1026. DOI ↗ | Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. DOI ↗ |
| כינויים | PES, Patient Engagement | DHAS, Digital Health Acceptance |
| קשורות | 3 | 3 |
| תקציר≠ | The Patient Engagement Scale measures the degree to which patients take active responsibility for managing their health and healthcare. Developed by Hibbard and colleagues (2004), the Patient Activation Measure (PAM) operationalizes engagement as a progression from awareness of health issues through confident self-management, capturing the psychological, behavioural, and confidence dimensions essential for patient participation in shared decision-making and chronic disease management. | 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. |
| ScholarGateמערך נתונים ↗ |
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