Symptom monitoring in cancer and fully automated advice on supportive care: Patients' perspectives on self-management strategies and the eHealth self-management application Oncokompas

Anouk S. Schuit, Valesca van Zwieten, Karen Holtmaat, Pim Cuijpers, Simone E.J. Eerenstein, C. René Leemans, Marije R. Vergeer, Jens Voortman, Hakki Karagozoglu, Stijn van Weert, Mira Korte, Ruud Frambach, Margot Fleuren, Jan Jaap Hendrickx, Irma M. Verdonck-de Leeuw*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Objective: The web-based application Oncokompas was developed to support cancer patients to self-manage their symptoms. This qualitative study was conducted to obtain insight in patients' self-management strategies to cope with cancer and their experiences with Oncokompas as a fully automated behavioural intervention technology. Methods: Data were collected from semi-structured interviews with 22 participants (10 head and neck cancer survivors and 12 incurably ill patients). Interview questions were about self-management strategies and experiences with Oncokompas. Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis. Results: Participants applied several self-management strategies, among which trying to stay in control and make the best of their situation. They described Oncokompas' added value: being able to monitor symptoms and having access to a personal online library. Main reasons for not using Oncokompas were concentration problems, lack of time or having technical issues. Recommendations were made for further development of Oncokompas, relating to its content, technical and functional aspects. Conclusions: Survivors and incurably ill patients use various self-management strategies to cope with cancer. The objectives of self-management interventions as Oncokompas correspond well with these strategies: taking a certain responsibility for your well-being and being in charge of your life as long as possible by obtaining automated information (24/7) on symptoms and tailored supportive care options.

Original languageEnglish
Article numbere13497
Pages (from-to)1-13
Number of pages13
JournalEuropean Journal of Cancer Care
Volume30
Issue number6
Early online date2 Aug 2021
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 The Authors. European Journal of Cancer Care published by John Wiley & Sons Ltd.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

IVdL reports grants from the Dutch Cancer Society ‐ Alpe d'Huzes Foundation, the Netherlands Organization for Health Research and Development (ZonMw), the SAG Foundation – Zilveren Kruis Health Care Assurance Company, Danone Ecofund – Nutricia, the Dutch Society Head and Neck Cancer Patients – Michel Keijzer Foundation, Red‐kite (distributor of eHealth tools) and Bristol‐Myers Squibb. All other authors declare no competing interests. IVdL reports grants from the Dutch Cancer Society - Alpe d'Huzes Foundation, the Netherlands Organization for Health Research and Development (ZonMw), the SAG Foundation ? Zilveren Kruis Health Care Assurance Company, Danone Ecofund ? Nutricia, the Dutch Society Head and Neck Cancer Patients ? Michel Keijzer Foundation, Red-kite (distributor of eHealth tools) and Bristol-Myers Squibb. All other authors declare no competing interests. This study is funded by ZonMw, The Netherlands Organization for Health Research and Development (project number: 844001105). This study is funded by ZonMw, The Netherlands Organization for Health Research and Development (project number: 844001105).

FundersFunder number
Alpe d'HuZes foundation
Danone Ecofund – Nutricia
Dutch Cancer Society
Dutch Cancer Society ‐ Alpe d'Huzes Foundation
Dutch Society Head and Neck Cancer Patients
Dutch Society Head and Neck Cancer Patients ?
Michel Keijzer Foundation
Netherlands Organization for Health Research and Development
SAG Foundation
Zilveren Kruis Health Care Assurance Company
Bristol-Myers Squibb844001105
ZonMw

    Keywords

    • cancer
    • eHealth
    • evaluation of care
    • head and neck cancer
    • self-management
    • supportive care

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