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Audio vs text produce-app RCT

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A tailored mobile app’s audio messages raised fruit intake more than text or control, while vegetable intake showed no overall main effect.

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A Mobile Phone App Intervention Targeting Fruit and Vegetable Consumption: The Efficacy of Textual and Auditory Tailored Health Information Tested in a Randomized Controlled Trial

Elbert SP, Dijkstra A, Oenema A · Journal of medical Internet research · 2016

doi.org/10.2196/jmir.5056Read the full paper ↗45 citationscc by

Study at a glance

Design
RCT — Three-arm RCT: text-tailored vs audio-tailored vs questionnaire control
N
N=146 · Final analytic sample
Population
Adults using a fruit-and-vegetable mobile app intervention
Outcome
Fruit and vegetable intake at 6 months

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Audio vs text produce-app RCT

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

Final analytic sample was 146 respondents (73.3% female).

The final sample for the analyses consisted of 146 respondents of whom 73.3% were females (n=107), 71.2% were highly educated (n=104), varied in age from 16 to 71 years (mean 41.4, SD 14.6), and with a mean BMI of 25.2 (SD 5.5).

Audio messaging raised fruit intake by a mean of three pieces per week.

The auditory mode of communication, but not the textual mode of communication, led to increased fruit consumption with a mean increase of three pieces of fruit a week.
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What they did

Adults were randomized to text-based tailored app content, audio-based tailored content, or control questionnaires only; fruit and vegetable intake were assessed at 6 months.

What they found

Audio coaching increased fruit intake by about three pieces per week versus text and control; vegetable intake had no significant main effect of condition (literacy interactions noted).

The limits

What it doesn't show

Effects were modest, sample attrition was high, and findings may not generalize beyond motivated app users.

Key terms

Tailoring
Personalizing health messages to individual intake and characteristics.
mHealth app
Smartphone application delivering health behaviour content.
Audio-based messaging
Spoken tailored feedback rather than on-screen text.
Health literacy
Ability to obtain and use health information; tested as a moderator.
Intention-to-treat
Analyzing participants by assigned arm regardless of dropout.
Control condition
Baseline/posttest measures without tailored app content.

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Design?

Common questions

What conditions were compared?

Text-tailored app, audio-tailored app, and no-content control.

What clearly improved?

Fruit intake with the audio arm (~3 pieces/week).

Did vegetables change overall?

No significant main effect of condition on vegetable intake.

Analytic sample size?

146 respondents completing analyses (many highly educated women).

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