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Telemonitoring in Chronic Pain Management Using Smartphone Apps: A Randomized Controlled Trial Comparing Usual Assessment against App-Based Monitoring with and without Clinical Alarms

Author

Listed:
  • Carlos Suso-Ribera

    (Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, 12071 Castellón, Spain)

  • Diana Castilla

    (Department of Personality, Assessment, and Psychological Treatments, Universidad de Valencia, 46010 Valencia, Spain
    Ciber Fisiopatologia Obesidad y Nutricion (CB06/03 Instituto Salud Carlos III) (Ciber Physiopathology Obesity and Nutrition, CB06/03 Instituto Salud Carlos III Health Institute), 28029 Madrid, Spain)

  • Irene Zaragozá

    (Ciber Fisiopatologia Obesidad y Nutricion (CB06/03 Instituto Salud Carlos III) (Ciber Physiopathology Obesity and Nutrition, CB06/03 Instituto Salud Carlos III Health Institute), 28029 Madrid, Spain)

  • Ángela Mesas

    (Pain Clinic, Vall d’Hebron Hospital, 08035 Barcelona, Spain)

  • Anna Server

    (Pain Clinic, Vall d’Hebron Hospital, 08035 Barcelona, Spain)

  • Javier Medel

    (Pain Clinic, Vall d’Hebron Hospital, 08035 Barcelona, Spain)

  • Azucena García-Palacios

    (Department of Basic and Clinical Psychology and Psychobiology, Universitat Jaume I, 12071 Castellón, Spain
    Ciber Fisiopatologia Obesidad y Nutricion (CB06/03 Instituto Salud Carlos III) (Ciber Physiopathology Obesity and Nutrition, CB06/03 Instituto Salud Carlos III Health Institute), 28029 Madrid, Spain)

Abstract

Background. The usefulness of mHealth in helping to target face-to-face interventions for chronic pain more effectively remains unclear. In the present study, we aim to test whether the Pain Monitor mobile phone application (app) is well accepted by clinicians, and can help improve existent medical treatments for patients with chronic musculoskeletal pain. Regarding this last goal, we compared three treatment conditions, namely usual treatment, usual treatment with an app without alarms and usual treatment with an app with alarms. All treatments lasted one month. The three treatments were compared for all outcomes, i.e., pain severity and interference, fatigue, depressed mood, anxiety and anger. Methods. In this randomized controlled trial, the usual monitoring method (i.e., onsite; n = 44) was compared with daily ecological momentary assessment using the Pain Monitor app—both with ( n = 43) and without alarms ( n = 45). Alarms were sent to the clinicians in the presence of pre-established undesired clinical events and could be used to make treatment adjustments throughout the one-month study. Results. With the exception of anger, clinically significant changes (CSC; 30% improvement) were greater in the app + alarm condition across outcomes (e.g., 43.6% of patients experienced a CSC in depressed mood in the app + alarm condition, which occurred in less than 29% of patients in the other groups). The clinicians were willing to use the app, especially the version with alarms. Conclusions. The use of apps may have some benefits in individual health care, especially when using alarms to tailor treatments.

Suggested Citation

  • Carlos Suso-Ribera & Diana Castilla & Irene Zaragozá & Ángela Mesas & Anna Server & Javier Medel & Azucena García-Palacios, 2020. "Telemonitoring in Chronic Pain Management Using Smartphone Apps: A Randomized Controlled Trial Comparing Usual Assessment against App-Based Monitoring with and without Clinical Alarms," IJERPH, MDPI, vol. 17(18), pages 1-23, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6568-:d:411160
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    References listed on IDEAS

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    1. Joshua Smyth & Arthur Stone, 2003. "Ecological Momentary Assessment Research in Behavioral medicine," Journal of Happiness Studies, Springer, vol. 4(1), pages 35-52, March.
    2. Patricia Gual-Montolio & Verónica Martínez-Borba & Juana María Bretón-López & Jorge Osma & Carlos Suso-Ribera, 2020. "How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review," IJERPH, MDPI, vol. 17(9), pages 1-22, May.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
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    Cited by:

    1. Francisco Villegas & Verónica Martínez-Borba & Carlos Suso-Ribera & Diana Castilla & Irene Zaragoza & Azucena García-Palacios & Carlos Ferrer, 2021. "Characterizing Breakthrough Cancer Pain Using Ecological Momentary Assessment with a Smartphone App: Feasibility and Clinical Findings," IJERPH, MDPI, vol. 18(11), pages 1-21, June.
    2. Verónica Martínez-Borba & Carlos Suso-Ribera & Amanda Díaz-García & Judith Salat-Batlle & Diana Castilla & Irene Zaragoza & Azucena García-Palacios & Judit Sánchez-Raya, 2021. "mHealth for the Monitoring of Brace Compliance and Wellbeing in Adolescents with Idiopathic Scoliosis: Study Protocol for a Feasibility Study," IJERPH, MDPI, vol. 18(15), pages 1-22, July.
    3. Ana Fonseca & Jorge Osma, 2021. "Using Information and Communication Technologies (ICT) for Mental Health Prevention and Treatment," IJERPH, MDPI, vol. 18(2), pages 1-5, January.

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