CoChat
Sign Up
Cited by 121Digital Mental Health InterventionsMobile Health and mHealth ApplicationsMental Health Research Topics

The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.

Current research and trends in the use of smartphone applications for mood disorders

Open access
Torous, John, Powell, Adam C.·2015·Internet Interventions
DOI 10.1016/j.invent.2015.03.002
Open this paper in CoChat — free account

Abstract

Background Smartphone applications for mental illnesses offer great potential, although the actual research base is still limited. Major depressive disorder and bipolar disorder are both common psychiatric illness for which smartphone application research has greatly expanded in the last two years. We review the literature on smartphone applications for major depressive and bipolar disoders in order to better understand the evidence base for their use, current research opportunities, and future clinical trends. Methods We conducted an English language review of the literature, on November 1st 2014, for smartphone applications for major depressive and bipolar disorders. Inclusion criteria included studies featuring modern smartphones running native applications with outcome data related to major depressive or bipolar disorders. Studies were organized by use of active or passive data collection and focus on diagnostic or therapeutic interventions. Results Our search identified 1065 studies. Ten studies on major depressive disorder and 4 on bipolar disorder were included. Nine out of 10 studies on depression related smartphone applications featured active data collection and all 4 studies on bipolar disorder featured passive data collection. Depression studies included both diagnostic and therapeutic smartphone applications, while bipolar disorder studies featured only diagnostics. No studies addressed physiological data. Conclusions While the research base for smartphone applications is limited, it is still informative. Numerous opportunities for further research exist, especially in the use of passive data for, major depressive disorder, validating passive data to detect mania in bipolar disorder, and exploring the use of physiological data. As interest in smartphones for psychiatry and mental health continues to expand, it is important that the research base expands to fill these gaps and provide clinically useful results.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.invent.2015.03.002

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Citations

Cites

Flagged first, then by citations

Show all 31 references

1 of the 31 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Items 101–121 of 121

Related

See all

Metadata

Authors
Torous, J., & Powell, A. C.
Affiliations
Brigham and Women's Hospital (US)
Corresponding author
Torous, John
ORCID
Venue
Internet Interventions
Publisher
Elsevier BV
Published
2015-05
Volume
2
Issue
2
Pages
169-173
ISSN
2214-7829 (ISSN-L)
DOI
10.1016/j.invent.2015.03.002
OpenAlex
W2078482898
Cited by
121
References
31
Citations by year
2026: 3 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 10 · 2021: 10 · 2020: 14 · 2019: 20 · 2018: 11 · 2017: 16 · 2016: 18 · 2015: 4
FWCI
26.47
Type
journal article
Language
en
Open access
Licence
Locations
  • Internet Interventions (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
mobile application, mood disorders, major depressive disorder, bipolar disorder, passive data collection, physiological signals, digital mental health interventions, smartphone-based diagnostics

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