Adaptation of a maternal and child mHealth programme: an example from Aotearoa New Zealand

Introduction Evidence for mHealth in the delivery of public health messages is growing. Cultural adaptations of existing mHealth programmes may be an efficient way to extend their reach to new target populations, but best practices for such adaptations are unclear. Aim This paper describes the process of culturally adapting an existing parental and child health text messaging programme in a region of Aotearoa New Zealand in which there is a high proportion of Māori, a population that continues to experience systemic inequities in child health outcomes. Methods An adapted mHealth Development and Evaluation Framework informed the three-stage cultural adaptation process. Consultation with a local governance group and end-users established important factors in adapting and rebranding the programme. The adapted content was reviewed by local and external experts. The final messages underwent local translation into Te Reo Māori (Māori language), and all versions were pre-tested before rollout. Results The resultant intervention, txtpēpi, provides free information and support to families during pregnancy through the child’s first two years. The programme is available in four versions: Te Reo Māori or English for parents or family members. The personalised messages are designed to support and enable end-users to engage with local services and essential health behaviours (e.g. immunisation). Discussion Cultural adaptations of existing mHealth programmes are a resource-intensive process but contribute vital information about how to develop culturally safe support for new populations.

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Publication Details

Journal
Journal of Primary Health Care
Published
2026-09-22
DOI
https://doi.org/10.1071/hc26124
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
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article

Adaptation of a maternal and child mHealth programme: an example from Aotearoa New Zealand

Elaine Umali, Rosie Dobson, Hayden J. McRobbie, Amanda Uri et al.
Journal of Primary Health Care
Mobile Health and mHealth Applications
article

Adaptation of a maternal and child mHealth programme: an example from Aotearoa New Zealand

Elaine Umali, Rosie Dobson, Hayden J. McRobbie, Amanda Uri, Karen Evison, Melanie Stowell, Robyn Whittaker
article en

Abstract

Introduction Evidence for mHealth in the delivery of public health messages is growing. Cultural adaptations of existing mHealth programmes may be an efficient way to extend their reach to new target populations, but best practices for such adaptations are unclear. Aim This paper describes the process of culturally adapting an existing parental and child health text messaging programme in a region of Aotearoa New Zealand in which there is a high proportion of Māori, a population that continues to experience systemic inequities in child health outcomes. Methods An adapted mHealth Development and Evaluation Framework informed the three-stage cultural adaptation process. Consultation with a local governance group and end-users established important factors in adapting and rebranding the programme. The adapted content was reviewed by local and external experts. The final messages underwent local translation into Te Reo Māori (Māori language), and all versions were pre-tested before rollout. Results The resultant intervention, txtpēpi, provides free information and support to families during pregnancy through the child’s first two years. The programme is available in four versions: Te Reo Māori or English for parents or family members. The personalised messages are designed to support and enable end-users to engage with local services and essential health behaviours (e.g. immunisation). Discussion Cultural adaptations of existing mHealth programmes are a resource-intensive process but contribute vital information about how to develop culturally safe support for new populations.

Journal of Primary Health Care
Population Council (IN), University of Auckland (NZ), Queen Mary University of London (GB), UNSW Sydney (AU), Faculty of Public Health (GB)
Openalex Percentile: Top 6%
Mobile Health and mHealth Applications
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