Evidence map›Paper›PMID 28293583›Full record

ArticlemHealth2016

A content analysis of precede-proceed constructs in stress management mobile apps.

Hannah E Payne, Jessica Wilkinson, Joshua H West, Jay M Bernhardt

Abstract read
In one paragraph

Article in mHealth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. 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.

Hannah E PayneDepartment of Health Science, Brigham Young University, Provo, UT 84606, USA.
Jessica WilkinsonDepartment of Health Science, Brigham Young University, Provo, UT 84606, USA.
Joshua H WestDepartment of Health Science, Brigham Young University, Provo, UT 84606, USA.
Jay M BernhardtThe University of Texas at Austin, Moody College of Communication, 300 W. Dean Keaton (A0900), Austin, TX 78712, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of Apple's iPhone provides a platform for freelance developers to design third party apps, which greatly expands the functionality and utility of mobile devices for stress management. This study provides a basic overview of the stress management apps under the health and fitness category of the Apple App store and appraises each app's potential for influencing behavior change.

methodsData for this study came from a content analysis of health and fitness app descriptions available in the App Store on iTunes. Trained research assistants used the Precede-Proceed Model (PPM) as a framework to guide the coding of paid stress management apps and to evaluate each app's potential for effecting health behavior change.

resultsMost apps were rated as being plausible (96.9%) and intending to address stress management (98.5%), but only 63.3% were rated as recommendable to others for their use. Reinforcing apps were less common than predisposing and enabling apps. Less than one percent (0.39%) of apps included all three factors (predisposing, enabling and reinforcing).

conclusionsPractitioners should be cautious when promoting the use of stress management apps, as most provide only health-related information (predisposing) or suggestions for enabling behavior, but almost none include all three theoretical factors recommended for behavior change.

Indexed as

Mental healthmobile healthtelemedicine

Identifiers

PMID28293583
PMCPMC5344176

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.