Evidence map›Paper›PMID 30514694›Full record

ArticleJMIR mHealth and uHealth2018

Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study.

Mark Deady, David Johnston, David Milne, Nick Glozier, Dorian Peters, Rafael Calvo, Samuel Harvey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Evaluating Commercially Available Mobile Apps for Depression Self-Management.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Mark DeadyBlack Dog Institute, Faculty of Medicine, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0002-5230-2401
David JohnstonBlack Dog Institute, Faculty of Medicine, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-6237-5527
David MilneSchool of Systems, Management and Leadership, Faculty of Engineering and IT, University of Technology, Sydney, Australia.ORCID http://orcid.org/0000-0002-0596-7814
Nick GlozierBrain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-0476-9146
Dorian PetersSchool of Electrical and Information Engineering, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-4767-4198
Rafael CalvoSchool of Electrical and Information Engineering, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-2238-0684
Samuel HarveyBlack Dog Institute, Faculty of Medicine, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-9580-3743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe workplace represents a unique setting for mental health interventions. Due to range of job-related factors, employees in male-dominated industries are at an elevated risk. However, these at-risk groups are often overlooked. HeadGear is a smartphone app-based intervention designed to reduce depressive symptoms and increase well-being in these populations.

objectiveThis paper presents the development and pilot testing of the app's usability, acceptability, feasibility, and preliminary effectiveness.

methodsThe development process took place from January 2016 to August 2017. Participants for prototype testing (n=21; stage 1) were recruited from industry partner organizations to assess acceptability and utility. A 5-week effectiveness and feasibility pilot study (n=84; stage 2) was then undertaken, utilizing social media recruitment. Demographic data, acceptability and utility questionnaires, depression (Patient Health Questionnaire-9), and other mental health measures were collected.

resultsThe majority of respondents felt HeadGear was easy to use (92%), easily understood (92%), were satisfied with the app (67%), and would recommend it to a friend (75%; stage 1). Stage 2 found that compared with baseline, depression and anxiety symptoms were significantly lower at follow-up (t

conclusionsOverall, HeadGear was well received, and preliminary findings indicate it may provide an innovative new platform for improving mental health outcomes. Unfortunately, attrition was a significant issue, and findings should be interpreted with caution. The next stage of evaluation will be a randomized controlled trial. If found to be efficacious, the app has the potential to reduce disease burden and improve health in this at-risk group.

Indexed as

depressioneHealthmHealthpilotsmartphoneworkplace

Identifiers

PMID30514694
PMCPMC6299234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.