Cited by 36Digital Mental Health InterventionsMobile Health and mHealth ApplicationsMobile and Web Applications

Psych-related iPhone apps

Harrison, Anthony Mark, Goozee, Rhianna·2014·Journal of Mental Health

Abstract

iPhone apps are a widely utilised technology that have recently been identified as a useful medium for health research, clinical interventions and education. While some researchers have discussed advances in app technology, others promote specific apps that are not free to access. To our knowledge, no study has conducted a review of current, free iPhone apps related to psychology, psychiatry and mental health. Therefore, we conducted a pilot, web-based review exploring free iPhone apps using a replicable search strategy within the iTunes Store search function. A selection of apps were selected and subjectively assessed in terms of their usability, utility, graphics, and associated costs for the consumer. We concluded that the apps reviewed, though novel, are limited in their scope and utility. We also note a significant gap in more scientific, evidence-based app technology, and pose some pertinent ethical questions when developing future psych-related apps.

Integrity signals

Registry

Crossref · 10.3109/09638237.2013.869575

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Generally, smartphone apps are designed to deliver specific therapeutic activities, such as self-monitoring, facilitating skills acquisition, or to provide information about a particular health condition.

    “Generally, smartphone apps are designed to deliver specific therapeutic activities, such as self-monitoring, facilitating skills acquisition, or to provide information about a particular health condition. 51–53”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Harrison, A. M., & Goozee, R.
Corresponding author
Harrison, Anthony Mark
Venue
Journal of Mental Health
Published
2014-01-31
Volume
23
Issue
1
Pages
48-50
ISSN
  • 0963-8237 (ISSN-L)
  • 1360-0567
OpenAlex
W1974429282
Cited by
36
References
10
Citations by year
2026: 7 · 2025: 4 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 2 · 2016: 7 · 2015: 7
FWCI
8.26
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Mental Health (publishedVersion)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
Keywords
iOS app, mobile health apps, mental health apps, free apps, app usability, app evaluation, iTunes Store
MeSH terms
Humans, Mental Health, Computers, Handheld, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review