Evidence map›Paper›PMID 26958294›Full record

Trial reportAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Evaluating Consumer m-Health Services for Promoting Healthy Eating: A Randomized Field Experiment.

Yi-Chin Kato-Lin, Rema Padman, Julie Downs, Vibhanshu Abhishek

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
    Article
  3. 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

4 authors.

Yi-Chin Kato-LinCarnegie Mellon University, Pittsburgh, PA.
Rema PadmanCarnegie Mellon University, Pittsburgh, PA.
Julie DownsCarnegie Mellon University, Pittsburgh, PA.
Vibhanshu AbhishekCarnegie Mellon University, Pittsburgh, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile apps have great potential to deliver promising interventions to engage consumers and change their health-related behaviors, such as healthy eating. Currently, the interventions for promoting healthy eating are either too onerous to keep consumers engaged or too restrictive to keep consumers connected with healthcare professionals. In addition, while social media allows individuals to receive information from many sources, it is unclear how peer support interacts with professional support in the context of such interventions. This study proposes and evaluates three mobile-enabled interventions to address these challenges. We examine their effects on user engagement and food choices via a 4-month randomized field experiment. Mixed models provide strong evidence of the positive effect of image-based dietitian support and negative effects of peer support, and moderate evidence of the positive effects of mobile-based visual diary, highlighting the value of mobile apps for delivering advanced interventions to engage users and facilitate behavior change.

Indexed as

Diet, HealthyMobile ApplicationsAdultAgedDiet RecordsFemaleFood PreferencesHealth PromotionHumansMaleMiddle AgedSocial MediaYoung Adult

Identifiers

PMID26958294
PMCPMC4765581

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.