Evidence map›Paper›PMID 29233803›Full record

ArticleJMIR mHealth and uHealth2017

A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing.

Emma Tonkin, Lauren Jeffs, Thomas Philip Wycherley, Carol Maher, Ross Smith, Jonathon Hart, Beau Cubillo, Julie Brimblecombe

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Emma TonkinNutrition Program, Wellbeing and Preventable Chronic Disease, Menzies School of Health Research, Casuarina, Northern Territory, Australia.ORCID http://orcid.org/0000-0001-9941-4251
Lauren JeffsNutrition Program, Wellbeing and Preventable Chronic Disease, Menzies School of Health Research, Casuarina, Northern Territory, Australia.ORCID http://orcid.org/0000-0003-1342-6361
Thomas Philip WycherleyNutrition Program, Wellbeing and Preventable Chronic Disease, Menzies School of Health Research, Casuarina, Northern Territory, Australia.ORCID http://orcid.org/0000-0003-3096-1796
Carol MaherCentre for Population Health Research, School of Health Sciences, University of South Australia, Adelaide, South Australia, Australia.ORCID http://orcid.org/0000-0002-8676-0224
Ross SmithWearable Computer Laboratory, School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, South Australia, Australia.ORCID http://orcid.org/0000-0002-9044-9199
Jonathon HartWearable Computer Laboratory, School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, South Australia, Australia.ORCID http://orcid.org/0000-0001-5665-3308
Beau CubilloNutrition Program, Wellbeing and Preventable Chronic Disease, Menzies School of Health Research, Casuarina, Northern Territory, Australia.ORCID http://orcid.org/0000-0001-7815-2424
Julie BrimblecombeNutrition Program, Wellbeing and Preventable Chronic Disease, Menzies School of Health Research, Casuarina, Northern Territory, Australia.ORCID http://orcid.org/0000-0002-1977-276X
University of South Australia · AUFlinders University · AUMenzies School of Health Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disproportionate burden of noncommunicable disease among Indigenous Australians living in remote Indigenous communities (RICs) is a complex and persistent problem. Smartphones are increasingly being used by young Indigenous adults and therefore represent a promising method to engage them in programs seeking to improve nutritional intake.

objectiveThis study aimed to consult RIC members to inform the content of a smartphone app that can be used to monitor and reduce sugar-sweetened beverage intake in RICs.

methodsThe study was conducted in two phases. The formative phase involved a simulated grocery selection activity with think aloud ("think aloud shop"), a semistructured interview, a questionnaire outlining current smartphone and app use, and a paper prototyping activity. A preliminary end-user testing phase involved a think aloud prototype test and a semistructured interview regarding user satisfaction. Convenience sampling was used to recruit 20 18- to 35-year-old smartphone users for each phase from two RICs in the Northern Territory, Australia. Thematic analysis of transcribed audio recordings was used to identify determinants of food choice from the think aloud shop; themes related to the Theory of Planned Behavior (TPB) from the eating behaviors interview; and usability, comprehension, and satisfaction with the app from the preliminary end-user testing.

resultsSmartphone use in RICs is currently different to that found in urban environments; in particular, extremely low use of Facebook, restricted variety of phone types, and limited Internet access. Findings regarding promoting app engagement indicate that utilizing an opt-in approach to social features such as leader boards and team challenges is essential. The inclusion of games was also shown to be important for satisfaction, as were the use of audio features, contextually embedded dissemination, and streamlined app design for comprehension in this target group.

conclusionsThis research provides critical insights and concrete recommendations for the development of lifestyle improvement apps targeted toward disadvantaged young adults in nonurban settings, specifically RICs. It serves as a framework for future app development projects using a consultative user-centered design approach, supporting calls for the increased use of this strategy in app development.

Indexed as

behaviordiethealth promotionIndigenousmobile applicationspublic healthTelemedicine

Identifiers

PMID29233803
PMCPMC5743922
OpenAlexW2772918581

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.