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

Hemakumar Devan, Devin Farmery, Lucy Peebles, Rebecca Grainger, Hemakumar Devan, Devin Farmery, Lucy Peebles, Rebecca Grainger

Abstract

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.

Keywords: chronic pain; culture; mHealth; self-management; smartphone; technology.

Conflict of interest statement

Conflicts of Interest: None declared.

©Hemakumar Devan, Devin Farmery, Lucy Peebles, Rebecca Grainger. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 12.02.2019.

Figures

Figure 1
Figure 1
Flowchart for systematic app search from Google Play and App stores.

References

    1. Hoy DG, Smith E, Cross M, Sanchez-Riera L, Blyth FM, Buchbinder R, Woolf AD, Driscoll T, Brooks P, March LM. Reflecting on the global burden of musculoskeletal conditions: lessons learnt from the global burden of disease 2010 study and the next steps forward. Ann Rheum Dis. 2015 Jan;74(1):4–7. doi: 10.1136/annrheumdis-2014-205393.
    1. GBD 2015 Disease Injury Incidence Prevalence Collaborators Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016 Dec 08;388(10053):1545–602. doi: 10.1016/S0140-6736(16)31678-6.
    1. Treede RD, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Finnerup NB, First MB, Giamberardino MA, Kaasa S, Kosek E, Lavandʼhomme P, Nicholas M, Perrot S, Scholz J, Schug S, Smith BH, Svensson P, Vlaeyen JWS, Wang S. A classification of chronic pain for ICD-11. Pain. 2015 Jun;156(6):1003–7. doi: 10.1097/j.pain.0000000000000160.
    1. GBD 2016 Disease Injury Incidence Prevalence Collaborators Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017 Sep 16;390(10100):1211–59. doi: 10.1016/S0140-6736(17)32154-2.
    1. Nicholas MK, Blyth FM. Are self-management strategies effective in chronic pain treatment? Pain Manag. 2016;6(1):75–88. doi: 10.2217/pmt.15.57.
    1. Vranceanu AM, Stone M, Wallace T, Kulich R. Cognitive Behavioral Therapy for chronic pain. In: Vranceanu A, Greer J, Safren S, editors. The Massachusetts General Hospital Handbook Of Behavioral Medicine. New York: Humana Press; 2017. pp. 93–114.
    1. Flor H, Turk DC. Chronic Pain: An Integrated Biobehavioral Approach. Seattle: IASP Press; 2011.
    1. de Silva D. Evidence: Helping people help themselves. London: Health Foundation; 2011. What is self-management support? pp. 1–3.
    1. Okifuji A, Turk D. Engagement of patients in the self-management of pain. In: O'Donohue W, James L, Snipes C, editors. Practical Strategies and Tools to Promote Treatment Engagement. Cham: Springer; 2017. pp. 229–51.
    1. Nicholas MK, Asghari A, Corbett M, Smeets RJ, Wood BM, Overton S, Perry C, Tonkin LE, Beeston L. Is adherence to pain self-management strategies associated with improved pain, depression and disability in those with disabling chronic pain? Eur J Pain. 2012 Jan;16(1):93–104. doi: 10.1016/j.ejpain.2011.06.005.
    1. Devan H, Hale L, Hempel D, Saipe B, Perry MA. What works and does not work in a self-management intervention for people with chronic pain? Qualitative systematic review and meta-synthesis. Phys Ther. 2018 May 01;98(5):381–97. doi: 10.1093/ptj/pzy029.
    1. Hogg MN, Gibson S, Helou A, DeGabriele J, Farrell MJ. Waiting in pain: a systematic investigation into the provision of persistent pain services in Australia. Med J Aust. 2012 Apr 2;196(6):386–90. doi: 10.5694/mja12.10140.
    1. McGavock Z. Massey University. Wellington: 2011. A life transformed: the lived experiences of Māori with chronic pain .
    1. Househ M, Borycki E, Kushniruk A. Social Media Mobile Technologies for Healthcare. Hershey: IGI Global; 2014.
    1. Sundararaman LV, Edwards RR, Ross EL, Jamison RN. Integration of mobile health technology in the treatment of chronic pain: a critical review. Reg Anesth Pain Med. 2017;42(4):488–98. doi: 10.1097/AAP.0000000000000621.
    1. Becker S, Miron-Shatz T, Schumacher N, Krocza J, Diamantidis C, Albrecht U. mHealth 2.0: experiences, possibilities, and perspectives. JMIR Mhealth Uhealth. 2014;2(2):e24. doi: 10.2196/mhealth.3328.
    1. Statistica. Number of smartphone users worldwide from 2014 to 2020 (in billions)
    1. Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res. 2014;16(4):e104. doi: 10.2196/jmir.2968.
    1. Huckvale K, Car M, Morrison C, Car J. Apps for asthma self-management: a systematic assessment of content and tools. BMC Med. 2012;10:144. doi: 10.1186/1741-7015-10-144.
    1. Nguyen AD, Baysari MT, Kannangara DR, Tariq A, Lau AY, Westbrook JI, Day RO. Mobile applications to enhance self-management of gout. Int J Med Inform. 2016 Oct;94:67–74. doi: 10.1016/j.ijmedinf.2016.06.021.
    1. Slater H, Dear BF, Merolli MA, Li LC, Briggs AM. Use of eHealth technologies to enable the implementation of musculoskeletal Models of Care: Evidence and practice. Best Pract Res Clin Rheumatol. 2016 Jun;30(3):483–502. doi: 10.1016/j.berh.2016.08.006.
    1. Christiansen S, Gupta A. Can mobile technology improve treatment of chronic pain? Pain Med. 2014 Aug;15(8):1434–5. doi: 10.1111/pme.12479.
    1. Rosser BA, Eccleston C. Smartphone applications for pain management. J Telemed Telecare. 2011;17(6):308–12. doi: 10.1258/jtt.2011.101102.
    1. Lalloo C, Jibb LA, Rivera J, Agarwal A, Stinson JN. "There's a Pain App for That": review of patient-targeted smartphone applications for pain management. Clin J Pain. 2015 Jun;31(6):557–63. doi: 10.1097/AJP.0000000000000171.
    1. Gatchel RJ, Peng YB, Peters ML, Fuchs PN, Turk DC. The biopsychosocial approach to chronic pain: scientific advances and future directions. Psychol Bull. 2007 Jul;133(4):581–24. doi: 10.1037/0033-2909.133.4.581.
    1. Anderson KO, Green CR, Payne R. Racial and ethnic disparities in pain: causes and consequences of unequal care. J Pain. 2009 Dec;10(12):1187–204. doi: 10.1016/j.jpain.2009.10.002.
    1. Brady B, Veljanova I, Chipchase L. Are multidisciplinary interventions multicultural? A topical review of the pain literature as it relates to culturally diverse patient groups. Pain. 2016 Feb;157(2):321–8. doi: 10.1097/j.pain.0000000000000412.
    1. Savigny P, Kuntze S, Watson P, Underwood M, Ritchie G, Cotterell M. National Institute for Health and Clinical Excellence. 2009. [2019-02-05]. Low back pain: early management of persistent non-specific low back pain .
    1. Pain Australia. Pyrmont: 2011. [2019-02-02]. National Pain Strategy .
    1. Machado GC, Pinheiro MB, Lee H, Ahmed OH, Hendrick P, Williams C, Kamper SJ. Smartphone apps for the self-management of low back pain: a systematic review. Best Pract Res Clin Rheumatol. 2016 Dec;30(6):1098–109. doi: 10.1016/j.berh.2017.04.002.
    1. Bhattarai P, Newton-John TR, Phillips JL. Quality and usability of arthritic pain self-management apps for older adults: a systematic review. Pain Med. 2018 Mar 01;19(3):471–84. doi: 10.1093/pm/pnx090.
    1. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009 Jul 21;6(7):e1000097. doi: 10.1371/journal.pmed.1000097.
    1. Anderson LM, Scrimshaw Sc, Fullilove MT, Fielding JE, Normand J. Culturally competent healthcare systems. American Journal of Preventive Medicine. 2003 Apr;24(3):68–79. doi: 10.1016/S0749-3797(02)00657-8.
    1. Fnd. [2019-02-05]. Fnd: Experience the App Store and iTunes Anywhere
    1. StatCounter. Mobile Operating System Market Share New Zealand | StatCounter Global Stats 2017 .
    1. Lorig KR, Holman HR. Self-management education: history, definition, outcomes, and mechanisms. Ann Behav Med. 2003 Aug;26(1):1–7. doi: 10.1207/S15324796ABM2601_01.
    1. Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015;3(1):e27. doi: 10.2196/mhealth.3422.
    1. Economides M, Martman J, Bell M, Sanderson B. Improvements in stress, affect, and irritability following brief use of a mindfulness-based smartphone app: a randomized controlled trial. Mindfulness (N Y) 2018;9(5):1584–93. doi: 10.1007/s12671-018-0905-4.
    1. Roepke AM, Jaffee SR, Riffle OM, McGonigal J, Broome R, Maxwell B. Randomized controlled trial of SuperBetter, a smartphone-based/internet-based self-help tool to reduce depressive symptoms. Games Health J. 2015 Jun;4(3):235–46. doi: 10.1089/g4h.2014.0046.
    1. Webb TL, Joseph J, Yardley L, Michie S. Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. J Med Internet Res. 2010;12(1):e4. doi: 10.2196/jmir.1376.
    1. Middelweerd A, Mollee JS, van der Wal CN, Brug J, te Velde SJ. Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act. 2014;11:97. doi: 10.1186/s12966-014-0097-9.
    1. Direito A, Dale LP, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health. 2014;14:646. doi: 10.1186/1471-2458-14-646.
    1. Veehof MM, Trompetter HR, Bohlmeijer ET, Schreurs KM. Acceptance- and mindfulness-based interventions for the treatment of chronic pain: a meta-analytic review. Cogn Behav Ther. 2016;45(1):5–31. doi: 10.1080/16506073.2015.1098724.
    1. Oinas-Kukkonen H, Harjumaa M. Persuasive systems design: key issues, process model, and system features. Commun Assoc Inf Sys. 2009;24:28. doi: 10.17705/1CAIS.02428.
    1. Moseley GL, Butler DS. Fifteen years of explaining pain: the past, present, and future. J Pain. 2015 Sep;16(9):807–13. doi: 10.1016/j.jpain.2015.05.005.
    1. Nielson WR, Jensen MP, Karsdorp PA, Vlaeyen JW. Activity pacing in chronic pain: concepts, evidence, and future directions. Clin J Pain. 2013 May;29(5):461–8. doi: 10.1097/AJP.0b013e3182608561.
    1. Murphy SL, Kratz AL. Activity pacing in daily life: a within-day analysis. Pain. 2014 Dec;155(12):2630–7. doi: 10.1016/j.pain.2014.09.028.
    1. Felipe S, Singh A, Bradley C, Williams AC, Bianchi-Berthouze N. Roles for personal informatics in chronic pain. Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare; 9th International Conference on Pervasive Computing Technologies for Healthcare; May 20-23, 2015; Istanbul, Turkey. 2015. pp. 161–8.
    1. Singh A, Piana S, Pollarolo D, Volpe G, Varni G, Tajadura-Jiménez A, Williams AC, Camurri A, Bianchi-Berthouze N. Go-with-the-flow: tracking, analysis and sonification of movement and breathing to build confidence in activity despite chronic pain. Hum Comput Interact. 2015 Nov 25;31(3-4):335–83. doi: 10.1080/07370024.2015.1085310.
    1. López-Martínez AE, Esteve-Zarazaga R, Ramírez-Maestre C. Perceived social support and coping responses are independent variables explaining pain adjustment among chronic pain patients. J Pain. 2008 Apr;9(4):373–9. doi: 10.1016/j.jpain.2007.12.002.
    1. Dennis CL. Peer support within a health care context: a concept analysis. Int J Nurs Stud. 2003 Mar;40(3):321–32.
    1. Ruehlman LS, Karoly P, Enders C. A randomized controlled evaluation of an online chronic pain self management program. Pain. 2012 Feb;153(2):319–30. doi: 10.1016/j.pain.2011.10.025.
    1. Lorig KR, Ritter PL, Laurent DD, Plant K. The internet-based arthritis self-management program: a one-year randomized trial for patients with arthritis or fibromyalgia. Arthritis Rheum. 2008 Jul 15;59(7):1009–17. doi: 10.1002/art.23817. doi: 10.1002/art.23817.
    1. Devan H, Perry M, Shipton E, Dowell A, Jones B, Ingham T, Gray A, Leung W, Hoermann S, Hempel D, Saipe B, Grainger R, Hale L. Health Informatics New Zealand (HiNZ) Conference. 2017. [2018-12-10]. Co-creating a self-management eHealth resource by the people and for the people with persistent pain .
    1. Henschke N, Lorenz E, Pokora R, Michaleff ZA, Quartey JN, Oliveira VC. Understanding cultural influences on back pain and back pain research. Best Pract Res Clin Rheumatol. 2016 Dec;30(6):1037–49. doi: 10.1016/j.berh.2017.08.004.
    1. Ministry Of Health Wellington: Ministry of Health. 2017. [2018-12-10]. Annual Data Explorer
    1. Mcgavock ZC, Barnes HM, Mccreanor T. Māori and pain: a literature review. AlterNative. 2012 Jun;8(2):163–175. doi: 10.1177/117718011200800205. doi: 10.1177/117718011200800205.
    1. Portelli P, Eldred C. A quality review of smartphone applications for the management of pain. Br J Pain. 2016 Aug;10(3):135–40. doi: 10.1177/2049463716638700.
    1. Brady B, Veljanova I, Chipchase L. An exploration of the experience of pain among culturally diverse migrant communities. Rheumatol Adv Pract. 2017;1(1):1–14. doi: 10.1093/rap/rkx002. doi: 10.1093/rap/rkx002.
    1. Lin IB, Ryder K, Coffin J, Green C, Dalgety E, Scott B, Straker LM, Smith AJ, O'Sullivan PB. Addressing disparities in low back pain care by developing culturally appropriate information for Aboriginal Australians: "My Back on Track, My Future". Pain Med. 2017 Nov 01;18(11):2070–80. doi: 10.1093/pm/pnw314.
    1. Jones L, Jacklin K, O'Connell ME. Development and use of health-related technologies in indigenous communities: critical review. J Med Internet Res. 2017 Dec 20;19(7):e256. doi: 10.2196/jmir.7520.
    1. Pincus T, Esther R, DeWalt DA, Callahan LF. Social conditions and self-management are more powerful determinants of health than access to care. Ann Intern Med. 1998 Sep 01;129(5):406–11. doi: 10.7326/0003-4819-129-5-199809010-00011.
    1. Jerant AF, von Friederichs-Fitzwater MM, Moore M. Patients' perceived barriers to active self-management of chronic conditions. Patient Educ Couns. 2005 Jun;57(3):300–7. doi: 10.1016/j.pec.2004.08.004.
    1. Sullivan MD, Ballantyne JC. Must we reduce pain intensity to treat chronic pain? Pain. 2016 Jan;157(1):65–9. doi: 10.1097/j.pain.0000000000000336.
    1. Kamper SJ, Apeldoorn AT, Chiarotto A, Smeets RJ, Ostelo RW, Guzman J, van Tulder MW. Multidisciplinary biopsychosocial rehabilitation for chronic low back pain. Cochrane Database Syst Rev. 2014 Sep 02;(9):CD000963. doi: 10.1002/14651858.CD000963.pub3.
    1. Jamison RN, Jurcik DC, Edwards RR, Huang C, Ross EL. A pilot comparison of a smartphone app with or without 2-way messaging among chronic pain patients: who benefits from a pain app? Clin J Pain. 2017 Aug;33(8):676–86. doi: 10.1097/AJP.0000000000000455.

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