Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Patient Engagement Scale× | Schaal voor Betrokkenheid bij Mobiele Gezondheidstoepassingen× | |
|---|---|---|
| Vakgebied | Gezondheidsinformatica | Gezondheidsinformatica |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2004 | 2017 |
| Grondlegger≠ | Judith H. Hibbard, Janice Stockard, Ellen R. Mahoney, Martin Tusler | Oliver Perski, Anna Blandford, Robert West, Susan Michie |
| Type | Self-report questionnaire | Self-report questionnaire |
| Oorspronkelijke bron≠ | 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 ↗ |
| Aliassen | PES, Patient Engagement | mHealth Engagement, Mobile Health Engagement |
| Verwant | 3 | 3 |
| Samenvatting≠ | 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. |
| ScholarGateGegevensset ↗ |
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