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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 23, 2023
Open Peer Review Period: Oct 23, 2023 - Dec 18, 2023
Date Accepted: Aug 16, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Cultural Adaptation of an Aboriginal and Torres Strait Islanders Maternal and Child mHealth Intervention: Protocol for a Co-Design and Adaptation Research Study

Ishaque S, Rissel C, Rissel C, Canuto K, Hall K, Bidargaddi N, Briley A, Roberts CT, Ela O, Dowling A, Brown C, Bonevski B

Cultural Adaptation of an Aboriginal and Torres Strait Islanders Maternal and Child mHealth Intervention: Protocol for a Co-Design and Adaptation Research Study

JMIR Res Protoc 2025;14:e53748

DOI: 10.2196/53748

PMID: 39793001

PMCID: 11760507

Cultural adaptation of an Aboriginal and Torres Strait Islanders maternal and child mobile health intervention: Protocol for a co-design and adaptation research study

  • Sana Ishaque; 
  • Chris Rissel; 
  • Chris Rissel; 
  • Karla Canuto; 
  • Kerry Hall; 
  • Niranjan Bidargaddi; 
  • Annette Briley; 
  • Claire T Roberts; 
  • Ola Ela; 
  • Anna Dowling; 
  • Cassandra Brown; 
  • Billie Bonevski

ABSTRACT

Background:

There is limited evidence of high quality, accessible, culturally safe, and effective digital health interventions for Indigenous mothers and babies. Like any other intervention, feasibility and efficacy of digital health interventions are dependent on how well they are co-designed with Indigenous communities and their adaptability to intracultural diversity.

Objective:

This study aims to adapt an existing co-designed mobile health intervention application (mHealth) with health professionals and Aboriginal and/or Torres Strait Islander mothers living in South Australia.

Methods:

Potential participants include Aboriginal and/or Torres Strait Islander pregnant women and mothers of children aged 0-5 years, non-Aboriginal and/or Torres Strait Islander women who are mothers of Aboriginal and/or Torres Strait Islander babies, and health professionals who predominantly care for Aboriginal and/or Torres Strait Islander mothers and babies. Participants will be recruited from multiple Aboriginal and/or Torres Strait Islander specific health services under the local health networks around metropolitan South Australia. In this study data collection will be via culturally safe, and family friendly yarning circles, facilitated by Aboriginal research staff to collect feedback on the existing mHealth application from approximately 20 women and 10 health professionals, with the aim to achieve data saturation. This will inform the changes required to the mHealth application. All focus groups and interviews will be audio recorded and transcribed verbatim. Data will be inductively analyzed using realist epistemology via NVivo software. Themes about the mhealth application’s cultural acceptability, usability and appropriateness will be used to inform the changes applied to the application.

Results:

With the feedback received from participating women and health professionals, changes in the mobile app will be made to ensure the intervention is supportive and meets the needs of Aboriginal and/or Torres Strait Islander mothers and families in South Australia. Participation of community members will promote ownership, community engagement, and implementation.

Conclusions:

A co-designed, culturally sensitive and effective digital health intervention is likely to support Indigenous mothers and their children facing health disparities due to disruption of Indigenous culture by co-laying a foundation for a potential clinical trial and wider implementation.


 Citation

Please cite as:

Ishaque S, Rissel C, Rissel C, Canuto K, Hall K, Bidargaddi N, Briley A, Roberts CT, Ela O, Dowling A, Brown C, Bonevski B

Cultural Adaptation of an Aboriginal and Torres Strait Islanders Maternal and Child mHealth Intervention: Protocol for a Co-Design and Adaptation Research Study

JMIR Res Protoc 2025;14:e53748

DOI: 10.2196/53748

PMID: 39793001

PMCID: 11760507

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