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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 20, 2019
Date Accepted: May 20, 2020
Date Submitted to PubMed: Jul 14, 2020

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

Engagement in an Interactive App for Symptom Self-Management during Treatment in Patients With Breast or Prostate Cancer: Mixed Methods Study

Crafoord MT, Fjell M, Sundberg K, Nilsson M, Langius-Eklöf A

Engagement in an Interactive App for Symptom Self-Management during Treatment in Patients With Breast or Prostate Cancer: Mixed Methods Study

J Med Internet Res 2020;22(8):e17058

DOI: 10.2196/17058

PMID: 32663140

PMCID: 7445604

Warning: This is an author submission that is not peer-reviewed or edited.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.

Engagement in an interactive app for self-management of symptoms among patients treated for breast and prostate cancer: results from two Randomized Controlled Trial

  • Marie-Therése Crafoord; 
  • Maria Fjell; 
  • Kay Sundberg; 
  • Marie Nilsson; 
  • Ann Langius-Eklöf

ABSTRACT

Background:

Using mobile technology for symptom management and self-care can improve patient-clinician communication and clinical outcomes in patients with cancer. The interactive app Interaktor has been shown to reduce symptom burden during cancer treatment. It includes symptom assessment, an alert system for contact with health care professionals, access to self-care advice, and visualization of symptom history. It is essential to understand how digital interventions operate and an approach to research this empirically includes to examine engagement by assessing usage and exploring user experiences. Actual usage in correspondence to the intended use – adherence - is an essential factor of engagement.

Objective:

This study aims to describe engagement with the Interaktor app among patients with breast and prostate cancer during their treatment.

Methods:

All patients from the intervention groups of two separate randomized controlled trials were included. Patients with breast cancer receiving neoadjuvant chemotherapy (n=74) and patients with locally advanced prostate cancer receiving treatment with radiotherapy (n=75). The patients reported their symptoms daily. Sociodemographic and clinical data were obtained from baseline questionnaires and medical records. Logged data usage was retrieved from the server and analyzed descriptively and with multiple regression analysis. Telephone interviews were conducted with patients about their perceptions of using the app and analyzed using content analysis.

Results:

The median adherence to daily symptom reporting was 83%. Most patients used the self-care advice and free text message component. Among the patients treated for breast cancer, higher age predicted a higher total number of free text messages sent (P = .04). Among the patients treated for prostate cancer, higher age (P = .01) and higher education level (P = .04), predicted an increase in total views on self-care advice, whilst higher comorbidity (P = .004) predicted a decrease in total views on self-care advice. Being married or living with a partner predicted a higher adherence to daily symptom reporting (P = .02). Daily symptom reporting created feelings of having continuous contact with health care professionals, being acknowledged, and safe. Being contacted by a nurse after a symptom-alert was considered convenient and highly valued. Treatment and time-related aspects influenced engagement. Daily symptom reporting was perceived as particularly meaningful at the beginning of treatment. Requests were made for advice on diet and psychological symptoms, as well as more comprehensive and detailed information as the patient progressed through treatment.

Conclusions:

Patient engagement in the interactive app Interaktor was high. The app promoted patient participation in their care through continuous and convenient contact with health care professionals. The predictive ability of demographic variables differs in between patient groups, but higher age and a higher educational level predicts higher usage of specific app-functions for both patient groups. Patients’ experience of relevance and interactivity influence their engagement positively. Clinical Trial: RCT Breast cancer NCT02479607 RCT Prostate cancer NCT02477137


 Citation

Please cite as:

Crafoord MT, Fjell M, Sundberg K, Nilsson M, Langius-Eklöf A

Engagement in an Interactive App for Symptom Self-Management during Treatment in Patients With Breast or Prostate Cancer: Mixed Methods Study

J Med Internet Res 2020;22(8):e17058

DOI: 10.2196/17058

PMID: 32663140

PMCID: 7445604

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

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