Logo image
Aboriginal and Torres Strait Islander Women's Access to and Interest in mHealth: National Web-based Cross-sectional Survey
Journal article   Open access   Peer reviewed

Aboriginal and Torres Strait Islander Women's Access to and Interest in mHealth: National Web-based Cross-sectional Survey

Sarah Jane Perkes, Billie Bonevski, Kerry Hall, Joerg Mattes, Catherine Chamberlain, Jessica Bennett, Robyn Whittaker, Kerrin Palazzi, David Lambkin and Michelle Kennedy
Journal of Medical Internet Research, Vol.25, e42660
2023
PMCID: 10028504
PMID: 36877565
pdf
Published163.25 kBDownloadView
Published (Version of Record)CC BY V4.0 Open Access

Abstract

Aboriginal digital literacy health literacy mHealth public health SDG 9 Sustainable Development Goals Torres Strait Islander
Background: Health programs delivered through digital devices such as mobile phones (mobile health [mHealth]) have become an increasingly important component of the health care tool kit. Aboriginal and Torres Strait Islander women of reproductive age are likely to be caring for children and family members and needing health care, but little is known about their access to and interest in mHealth. Objective: The objectives of this study were to investigate Aboriginal and Torres Strait Islander women’s ownership of digital devices, access to the internet, current mHealth use, and interest and preferences for future mHealth. We examined the factors (age, remoteness, caring for a child younger than 5 years, and level of education) associated with the ownership of digital devices, use of internet, and interest in using a mobile phone to improve health. This study also examines if women are more likely to use mHealth for topics that they are less confident to talk about face-to-face with a health professional. Methods: A national web-based cross-sectional survey targeting Aboriginal and Torres Strait Islander women of reproductive age (16-49 years) was performed. Descriptive statistics were reported, and logistic regressions were used to examine the associations. Results: In total, 379 women completed the survey; 89.2% (338/379) owned a smartphone, 53.5% (203/379) a laptop or home computer, 35.6% (135/379) a tablet, and 93.1% (353/379) had access to the internet at home. Most women used social media (337/379, 88.9%) or the internet (285/379, 75.2%) everyday. The most common modality used on the mobile phone for health was Google (232/379, 61.2%), followed by social media (195/379, 51.5%). The most preferred modality for future programs was SMS text messaging (211/379, 55.7%) and social media (195/379, 51.4%). The most preferred topics for future mHealth programs were healthy eating (210/379, 55.4%) and cultural engagement (205/379, 54.1%). Women who were younger had greater odds of owning a smartphone, and women with tertiary education were more likely to own a tablet or laptop. Older age was associated with interest to use telehealth, and higher educational attainment was associated with interest for videoconferencing. Most women (269/379, 70.9%) used an Aboriginal medical service and overall reported high rates of confidence to discuss health topics with a health professional. Overall, women showed a similar likelihood of selecting a topic in mHealth whether they were or were not confident to talk to a health professional about that. Conclusions: Our study found that Aboriginal and Torres Strait Islander women were avid users of the internet and had strong interest in mHealth. Future mHealth programs for these women should consider utilizing SMS text messaging and social media modalities and including content on nutrition and culture. A noteworthy limitation of this study was that participant recruitment was web-based (due to COVID-19 restrictions).

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#17 Partnerships for the Goals

Metrics

3 File views/ downloads
29 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.44 Nutrition & Dietetics
1.44.1069 Digital Mental Health
Web Of Science research areas
Health Care Sciences & Services
Medical Informatics
ESI research areas
Clinical Medicine
Logo image