Cited by 257Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsPain Management and Opioid Use

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

“There’s a Pain App for That”: Review of Patient-targeted Smartphone Applications for Pain Management

Abstract

OBJECTIVES: There are a growing number of pain self-management applications (apps) available for users to download on personal smartphones. The purpose of this study was to critically appraise the content and self-management functionality of currently available pain apps. METHODS: An electronic search was conducted between May and June 2014 of the official stores for the 4 major operating systems. Two authors independently identified patient-focused apps with a stated goal of pain management. Discrepancies regarding selection were resolved through discussion with a third party. Metadata from all included apps were abstracted into a standard form. The content and functionality of each app as it pertained to pain self-management was rated. RESULTS: A total of 279 apps met the inclusion criteria. Pain self-care skill support was the most common self-management function (77.4%). Apps also purported providing patients with the ability to engage in pain education (45.9%), self-monitoring (19%), social support (3.6%), and goal-setting (0.72%). No apps were comprehensive in terms of pain self-management, with the majority of apps including only a single self-management function (58.5%). In addition, only 8.2% of apps included a health care professional in their development, not a single app provided a theoretical rationale, and only 1 app underwent scientific evaluation. DISCUSSION: Currently available pain self-management apps for patients are simplistic, lack the involvement of health care professionals in their development, and have not been rigorously tested for effectiveness on pain-related health outcomes. There is a need to develop and test theoretically and evidence-based apps to better support patients with accessible pain care self-management.

Overview

Integrity signals

Registry

Crossref · 10.1097/ajp.0000000000000171

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

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?

Citations

Cites

Show all 41 references

Research works printed but not linked: 1

  1. Eccleston, 2012, Williams A deC, et al.. Psychological therapies for the management of chronic and recurrent pain in children and adolescents., Cochrane Database Syst Rev, 12, CD003968

Cited by

Sorted by citations

Items 101–200 of 257

Metadata

Authors
Lalloo, C., Jibb, L. A., Rivera, J., Agarwal, A., & Stinson, J. N.
Affiliations
  • University of Toronto (CA)
  • Great Ormond Street Hospital (GB)
  • McMaster University (CA)
Corresponding author
  • Lalloo, Chitra
  • Jibb, Lindsay A.
  • Rivera, Jordan
  • Stinson, Jennifer N.
Venue
The Clinical Journal of Pain
Published
2015-06
Volume
31
Issue
6
Pages
557-563
ISSN
0749-8047 (ISSN-L)
OpenAlex
W1985859049
Cited by
257
References
41
Citations by year
2026: 11 · 2025: 17 · 2024: 16 · 2023: 19 · 2022: 29 · 2021: 24 · 2020: 30 · 2019: 36 · 2018: 32 · 2017: 20 · 2016: 16 · 2015: 5
FWCI
2.44
Type
journal article
Language
en
Open access
closed
Locations
  • Clinical Journal of Pain (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
Keywords
pain self-management, mobile health apps, mobile application, pain education, self-monitoring, social support
MeSH terms
Smartphone, Humans, Self Care, Pain Management, 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