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Cultural Adaptation of an mHealth Intervention for Diabetes Self-Management: An Ecological Validity Model Approach
Anna Nguyen1, Valerie Eschiti1, Zsolt Nagykaldi1
1The University of Oklahoma Health Sciences, USA.
This study culturally adapted a mobile health (mHealth) intervention for U.S. Vietnamese individuals managing diabetes. The Ecological Validity Model (EVM) ensured the intervention respected cultural norms, enhancing its potential effectiveness.
Area of Science:
- Digital health interventions
- Transcultural nursing
- Health behavior change
Background:
- Mobile health (mHealth) interventions require cultural adaptation for user acceptance and effectiveness.
- This study focused on adapting an mHealth intervention for diabetes self-management among U.S. Vietnamese.
- Cultural tailoring is crucial for equitable health outcomes in diverse populations.
Purpose of the Study:
- To describe the translation and cultural adaptation of an mHealth intervention for U.S. Vietnamese adults with diabetes.
- To utilize the Ecological Validity Model (EVM) to guide the adaptation process.
- To ensure the adapted intervention aligns with the cultural context of U.S. Vietnamese.
Main Methods:
- The Ecological Validity Model (EVM) guided the adaptation process.
- Eight dimensions of the EVM were applied to ensure cultural appropriateness.
- The process involved adapting educational content and social contexts within the mHealth intervention.
Main Results:
- The EVM framework facilitated the alignment of the mHealth intervention with U.S. Vietnamese cultural norms, values, and preferences.
- A culturally adapted mHealth intervention for diabetes self-management was successfully developed.
- The systematic application of the EVM demonstrated successful cultural adaptation.
Conclusions:
- The Ecological Validity Model (EVM) provides a valuable framework for culturally adapting mHealth interventions.
- The adapted mHealth intervention shows promise for supporting diabetes self-management in U.S. Vietnamese.
- Further research should explore the EVM's applicability across different chronic conditions and diverse ethnic groups.
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