Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Kiwango cha Ushiriki wa Mgonjwa× | Kiwango cha Ushiriki wa Afya ya Simu× | |
|---|---|---|
| Nyanja | Informatiki ya Afya | Informatiki ya Afya |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2004 | 2017 |
| Mwanzilishi≠ | Judith H. Hibbard, Janice Stockard, Ellen R. Mahoney, Martin Tusler | Oliver Perski, Anna Blandford, Robert West, Susan Michie |
| Aina | Self-report questionnaire | Self-report questionnaire |
| Chanzo asilia≠ | 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 ↗ | 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 ↗ |
| Majina mbadala | PES, Patient Engagement | mHealth Engagement, Mobile Health Engagement |
| Zinazohusiana | 3 | 3 |
| Muhtasari≠ | 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 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. |
| ScholarGateSeti ya data ↗ |
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