Evidence map›Paper›PMID 30101733›Full record

ArticlePublic health nutrition2018

A mixed-methods evaluation using low-income adult Georgians' experience with a smartphone-based eLearning nutrition education programme.

Sarah Stotz, Jung Sun Lee, Jori Hall

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Moving Food Assistance into the Digital Age: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  4. Technology-based Health Education Resources for Indigenous Adults: A Scoping Review.Journal of health care for the poor and underserved · 2021
    Article
  5. Article
  6. Article
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

3 authors at 1 institution in 1 country.

Sarah Stotz1Department of Foods and Nutrition,University of Georgia,280 Dawson Hall,Athens,GA30602,USA.
Jung Sun Lee1Department of Foods and Nutrition,University of Georgia,280 Dawson Hall,Athens,GA30602,USA.
Jori Hall2Department of Lifelong Education,Administration, and Policy,University of Georgia,Athens,GA,USA.
University of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo understand low-income adults' expectations and experiences using an innovative smartphone and theory-based eLearning nutrition education programme, entitled Food eTalk.

designLongitudinal mixed-methods single case study including a series of focus group and individual interviews, demographic and Internet habits surveys, and user-tracking data. Interviews were transcribed verbatim, analysed using the constant comparative method and digitalized using Atlas.ti. Descriptive statistics were analysed for demographics and user-tracking data.

settingCommunity-based locations including libraries, public housing complexes, schools, safety-net clinics and food pantries. SUBJECTS: Low-income Georgian adults aged ≥18 years (n 64), USA.

resultsParticipants found Food eTalk easy to navigate and better designed than expected. Primary themes were twofold: (i) motivation to engage in eLearning may be a formidable barrier to Food eTalk's success but improved programme content, format and external incentives could mitigate this barrier; and (ii) applying knowledge to change nutrition-related behaviour is challenging. To encourage engagement in eLearning nutrition education, programme format should highlight interactive games, videos, be short in length, and feature content that is relevant and important from the perspective of the priority audience. Examples of these topics include quick and easy recipes, chronic disease-specific diet information and tips to feed 'picky' children. Additionally, external incentives may help mitigate barriers to healthful eating behaviour and increase engagement in the programme.

conclusionsThe findings suggest eLearning nutrition education programmes are best designed to match low-income adults' typical smartphone habits, include content considered particularly relevant by the intended audience and highlight solutions to barriers to healthful eating.

Indexed as

DietFeeding BehaviorHealth BehaviorPovertySmartphoneAdultFemaleFocus GroupsFood SupplyGeorgiaHealth EducationHealth Knowledge, Attitudes, PracticeHealth PromotionHumansMaleMiddle AgedLow-incomeNutrition educationSmartphone-based eLearning

Identifiers

PMID30101733
PMCPMC10260841
OpenAlexW2887734143

What OpenQuestion holds

Textmetadata
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.