Support for Chronic Pain Management for Breast Cancer Survivors Through Novel Digital Health Ecosystems: Pilot Usability Study of the PainRELife Mobile App (Preprint)

Author:

Masiero MariannaORCID,Filipponi ChiaraORCID,Fragale ElisaORCID,Pizzoli Silvia Francesca MariaORCID,Munzone ElisabettaORCID,Milani AlessandraORCID,Guido LucaORCID,Guardamagna VittorioORCID,Marceglia SaraORCID,Prandin RobertoORCID,Prenassi MarcoORCID,Caruso AnnamariaORCID,Manzelli VaniaORCID,Savino ChiaraORCID,Conti CostanzaORCID,Rizzi FedericaORCID,Casalino AliceORCID,Candiani GiuliaORCID,Memini FrancescaORCID,Chiveri LucaORCID,Vitali Andrea LuigiORCID,Corbo MassimoORCID,Grasso RobertoORCID,Didier FlorenceORCID,Ferrucci RobertaORCID,Pravettoni GabriellaORCID

Abstract

BACKGROUND

Chronic pain is one of the most common and critical long-term effects of breast cancer. Digital health technologies enhance the management of chronic pain by monitoring physical and psychological health status and supporting pain self-management and patient treatment decisions throughout the clinical pathway.

OBJECTIVE

This pilot study aims to evaluate patients’ experiences, including usability, with a novel digital integrated health ecosystem for chronic pain named PainRELife. The sample included patients with breast cancer during survivorship. The PainRELife ecosystem comprises a cloud technology platform interconnected with electronic health records and patients' devices to gather integrated health care data.

METHODS

We enrolled 25 patients with breast cancer (mean age 47.12 years) experiencing pain. They were instructed to use the PainRELife mobile app for 3 months consecutively. The Mobile Application Rating Scale (MARS) was used to evaluate usability. Furthermore, pain self-efficacy and participation in treatment decisions were evaluated. The study received ethical approval (R1597/21-IEO 1701) from the Ethical Committee of the European Institute of Oncology.

RESULTS

The MARS subscale scores were medium to high (range: 3.31-4.18), and the total app quality score was 3.90. Patients with breast cancer reported reduced pain intensity at 3 months, from a mean of 5 at T0 to a mean of 3.72 at T2 (<i>P</i>=.04). The total number of times the app was accessed was positively correlated with pain intensity at 3 months (<i>P</i>=.03). The engagement (<i>P</i>=.03), information (<i>P</i>=.04), and subjective quality (<i>P</i>=.007) subscales were positively correlated with shared decision-making. Furthermore, participants with a lower pain self-efficacy at T2 (mean 40.83) used the mobile app more than participants with a higher pain self-efficacy (mean 48.46; <i>P</i>=.057).

CONCLUSIONS

The data collected in this study highlight that digital health technologies, when developed using a patient-driven approach, might be valuable tools for increasing participation in clinical care by patients with breast cancer, permitting them to achieve a series of key clinical outcomes and improving quality of life. Digital integrated health ecosystems might be important tools for improving ongoing monitoring of physical status, psychological burden, and socioeconomic issues during the cancer survivorship trajectory.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/41216

Publisher

JMIR Publications Inc.

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