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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Dec 10, 2018
Open Peer Review Period: Dec 11, 2018 - Dec 20, 2018
Date Accepted: Jan 13, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review

Devan H, Farmery D, Peebles L, Grainger R

Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review

JMIR Mhealth Uhealth 2019;7(2):e13080

DOI: 10.2196/13080

PMID: 30747715

PMCID: 6390192

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review

  • Hemakumar Devan; 
  • Devin Farmery; 
  • Lucy Peebles; 
  • Rebecca Grainger

Background:

Smartphone apps are a potential mechanism for development of self-management skills in people with persistent pain. However, the inclusion of best-practice content items in available pain management apps fostering core self-management skills for self-management support is not known.

Objective:

The aim of the study was to evaluate the contents of smartphone apps providing information on pain management strategies for people with persistent pain facilitating self-management support and to appraise the app quality.

Methods:

A systematic search was performed in the New Zealand App Store and Google Play Store. Apps were included if they were designed for people with persistent pain, provided information on pain self-management strategies, and were available in English. App contents were evaluated using an a priori 14-item self-management support (SMS-14) checklist. App quality was assessed using the 23-item Mobile Apps Rating Scale.

Results:

Of the 939 apps screened, 19 apps met the inclusion criteria. Meditation and guided relaxation were the most frequently included self-management strategies. Overall, the included apps met a median of 4 (range 1-8) of the SMS-14 checklist. A total of 3 apps (Curable, PainScale-Pain Diary and Coach, and SuperBetter) met the largest number of items (8 out of 14) to foster self-management of pain. Self-monitoring of symptoms (n=11) and self-tailoring of strategies (n=9) were frequently featured functions, whereas a few apps had features facilitating social support and enabling communicating with clinicians. No apps provided information tailored to the cultural needs of the user. The app quality mean scores using Mobile Apps Rating Scale ranged from 2.7 to 4.5 (out of 5.0). Although use of 2 apps (Headspace and SuperBetter) has been shown to improve health outcomes, none of the included apps have been evaluated in people with persistent pain.

Conclusions:

Of the 3 apps (Curable, PainScale-Pain Diary and Coach, and SuperBetter) that met the largest number of items to support skills in self-management of pain, 2 apps (PainScale-Pain Diary and Coach and SuperBetter) were free, suggesting the potential for using apps as a scalable, wide-reaching intervention to complement face-to-face care. However, none provided culturally tailored information. Although 2 apps (Headspace and SuperBetter) were validated to show improved health outcomes, none were tested in people with persistent pain. Both users and clinicians should be aware of such limitations and make informed choices in using or recommending apps as a self-management tool. For better integration of apps in clinical practice, concerted efforts are required among app developers, clinicians, and people with persistent pain in developing apps and evaluating for clinical efficacy.


 Citation

Please cite as:

Devan H, Farmery D, Peebles L, Grainger R

Evaluation of Self-Management Support Functions in Apps for People With Persistent Pain: Systematic Review

JMIR Mhealth Uhealth 2019;7(2):e13080

DOI: 10.2196/13080

PMID: 30747715

PMCID: 6390192

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