Literature DB >> 30388262

Using codesign to develop a culturally tailored, behavior change mHealth intervention for indigenous and other priority communities: A case study in New Zealand.

Marjolein E A Verbiest1,2, Callie Corrigan3, Sally Dalhousie4, Ridvan Firestone5, Tevita Funaki4, Debbie Goodwin1, Jacqui Grey1, Akarere Henry6, Gayl Humphrey1, Andrew Jull1,7, Mereaumate Vano6, Crystal Pekepo3, Lisa Te Morenga8, Robyn Whittaker1, Cliona Ni Mhurchu1.   

Abstract

The obesity rate in New Zealand is one of the highest worldwide (31%), with highest rates among Māori (47%) and Pasifika (67%). Codesign was used to develop a culturally tailored, behavior change mHealth intervention for Māori and Pasifika in New Zealand. The purpose of this article is to provide an overview of the codesign methods and processes and describe how these were used to inform and build a theory-driven approach to the selection of behavioral determinants and change techniques. The codesign approach in this study was based on a partnership between Māori and Pasifika partners and an academic research team. This involved working with communities on opportunity identification, elucidation of needs and desires, knowledge generation, envisaging the mHealth tool, and prototype testing. Models of Māori and Pasifika holistic well-being and health promotion were the basis for identifying key content modules and were applied to relevant determinants of behavior change and theoretically based behavior change techniques from the Theoretical Domains Framework and Behavior Change Taxonomy, respectively. Three key content modules were identified: physical activity, family/whānau [extended family], and healthy eating. Other important themes included mental well-being/stress, connecting, motivation/support, and health literacy. Relevant behavioral determinants were selected, and 17 change techniques were mapped to these determinants. Community partners established that a smartphone app was the optimal vehicle for the intervention. Both Māori and Pasifika versions of the app were developed to ensure features and functionalities were culturally tailored and appealing to users. Codesign enabled and empowered users to tailor the intervention to their cultural needs. By using codesign and applying both ethnic-specific and Western theoretical frameworks of health and behavior change, the mHealth intervention is both evidence based and culturally tailored.
© The Author(s) 2018. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.

Entities:  

Keywords:  Codesign; Health Behavior; Indigenous health; Noncommunicable diseases; Participatory research; mHealth

Year:  2019        PMID: 30388262     DOI: 10.1093/tbm/iby093

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  20 in total

1.  Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework.

Authors:  Dhakshenya Ardhithy Dhinagaran; Laura Martinengo; Moon-Ho Ringo Ho; Shafiq Joty; Tobias Kowatsch; Rifat Atun; Lorainne Tudor Car
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-04       Impact factor: 4.947

2.  Peace of mind: A community-industry-academic partnership to adapt dementia technology for Anishinaabe communities on Manitoulin Island.

Authors:  Kristen Jacklin; Karen Pitawanakwat; Melissa Blind; Andrine M Lemieux; Adam Sobol; Wayne Warry
Journal:  J Rehabil Assist Technol Eng       Date:  2020-09-16

3.  Pasifika Prediabetes Youth Empowerment Programme: learnings from a youth-led community-based intervention study.

Authors:  Ridvan Firestone; Gavin Faeamani; Elizabeth Okiakama; Tevita Funaki; Akarere Henry; Danielle Prapavessis; Jennifer Masaga; Justice Firestone; Jemaima Tiatia-Seath; Anna Matheson; Blakely Brown; Max Schleser; Keawe'aimoku Kaholokula; Claire Ing; Barry Borman; Lis Ellison-Loschmann
Journal:  N Z Med J       Date:  2021-02-19

Review 4.  Use and uptake of web-based therapeutic interventions amongst Indigenous populations in Australia, New Zealand, the United States of America and Canada: a scoping review.

Authors:  Rachel Reilly; Jacqueline Stephens; Jasmine Micklem; Catalin Tufanaru; Stephen Harfield; Ike Fisher; Odette Pearson; James Ward
Journal:  Syst Rev       Date:  2020-05-31

5.  The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation.

Authors:  Marcus Bendtsen; Preben Bendtsen; Hanna Henriksson; Pontus Henriksson; Ulrika Müssener; Kristin Thomas; Marie Löf
Journal:  JMIR Res Protoc       Date:  2020-04-20

6.  Developing Mental or Behavioral Health Mobile Apps for Pilot Studies by Leveraging Survey Platforms: A Do-it-Yourself Process.

Authors:  Philip I Chow
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-20       Impact factor: 4.773

7.  Staying Strong Toolbox: Co-design of a physical activity and lifestyle program for Aboriginal families with Machado-Joseph disease in the Top End of Australia.

Authors:  Jennifer J Carr; Joyce Lalara; Gayangwa Lalara; Gwen Lalara; Bronwyn Daniels; Alan R Clough; Anne Lowell; Ruth N Barker
Journal:  PLoS One       Date:  2021-02-05       Impact factor: 3.240

8.  Innovation in Pain Rehabilitation Using Co-Design Methods During the Development of a Relapse Prevention Intervention: Case Study.

Authors:  Stefan Elbers; Christa van Gessel; Reint Jan Renes; Remko van der Lugt; Harriët Wittink; Sander Hermsen
Journal:  J Med Internet Res       Date:  2021-01-20       Impact factor: 5.428

9.  Generative Participatory Design Methodology to Develop Electronic Health Interventions: Systematic Literature Review.

Authors:  Pieter Vandekerckhove; Marleen de Mul; Wichor M Bramer; Antoinette A de Bont
Journal:  J Med Internet Res       Date:  2020-04-27       Impact factor: 5.428

10.  Creating a Smartphone App for Caregivers of Children With Atopic Dermatitis With Caregivers, Health Care Professionals, and Digital Health Experts: Participatory Co-Design.

Authors:  Xiaomeng Xu; Konstadina Griva; Mark Koh; Elaine Lum; Woan Shin Tan; Steven Thng; Josip Car
Journal:  JMIR Mhealth Uhealth       Date:  2020-10-29       Impact factor: 4.773

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