Evidence map›Paper›PMID 33960951›Full record

ArticleJMIR mHealth and uHealth2021

Commercially Available Apps to Support Healthy Family Meals: User Testing of App Utility, Acceptability, and Engagement.

Chelsea E Mauch, Rachel A Laws, Ivanka Prichard, Anthony J Maeder, Thomas P Wycherley, Rebecca K Golley

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  7. Review
  8. Review
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

6 authors.

Chelsea E MauchCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.ORCID 0000-0003-1419-7417
Rachel A LawsEarly Prevention of Obesity in Childhood Centre of Research Excellence, Sydney, Australia.ORCID 0000-0003-4328-1116
Ivanka PrichardCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.ORCID 0000-0001-8892-9129
Anthony J MaederCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.ORCID 0000-0002-7398-2581
Thomas P WycherleyAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, Australia.ORCID 0000-0003-3096-1796
Rebecca K GolleyCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.ORCID 0000-0001-5197-7987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParents juggling caregiving and paid employment encounter a range of barriers in providing healthy food to their families. Mobile apps have the potential to help parents in planning, purchasing, and preparing healthy family food. The utility and acceptability of apps for supporting parents are unknown. User perspectives of existing technology, such as commercially available apps, can guide the development of evidence-based apps in the future.

objectiveThis study aims to determine the feasibility of existing commercially available apps for supporting the healthy food provision practices of working parents.

methodsWorking parents (N=133) were recruited via the web and completed a 10-item Capability, Opportunity, Motivation, and Behavior (COM-B) self-evaluation survey assessing their needs in relation to the provision of healthy family meals. A total of 5 apps were selected for testing, including a meal planning app, recipe app, recipe manager app, family organizer app, and barcode scanning app. Survey items were mapped to app features, with a subsample of parents (67/133, 50.4%) allocated 2 apps each to trial simultaneously over 4 weeks. A semistructured interview exploring app utility and acceptability and a web-based survey, including the System Usability Scale and the user version of the Mobile App Rating Scale, followed app testing. The interview data were analyzed using a theoretical thematic approach.

resultsSurvey participants (N=133; mean age 34 years, SD 4 years) were mainly mothers (130/133, 97.7%) and partnered (122/133, 91.7%). Participants identified a need for healthy recipes (109/133, 82% agreed or strongly agreed) and time for food provision processes (107/133, 80.5%). Engagement quality was the lowest rated domain of the user version of the Mobile App Rating Scale across all 5 apps (mean score per app ranging from 3.0 to 3.7 out of a maximum of 5). The family organizer, requiring a high level of user input, was rated the lowest for usability (median 48, IQR 34-73). In the interviews, participants weighed the benefits of the apps (ie, time saving) against the effort involved in using them in determining their acceptability. Organization was a subtheme emerging from interviews, associated with the use of meal planners and shopping lists. Meal planners and shopping lists were used in time, while behavior was occurring.

conclusionsMeal planning apps and features promoting organization present feasible, time-saving solutions to support healthy food provision practices. Attention must be paid to enhancing app automation and integration, as well as recipe and nutrition content, to ensure that apps do not add to the time burden of food provision and are supportive of healthy food provision behavior in time.

Indexed as

Mobile ApplicationsAdultConsumer BehaviorHealth BehaviorHumansMealsSurveys and Questionnairesbehavior modificationdietfamilymobile applicationsnutrition

Identifiers

PMID33960951
PMCPMC8140382

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.