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Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)

BACKGROUND: There are a growing number of mHealth tools for breast cancer patients but a lack of scientific evidence for their effects. Recent studies have shown a mix of positive and negative impacts on users. Here we will assess the impact of OWise Breast Cancer, a mobile application for self-moni...

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Autores principales: Lidington, Emma, McGrath, Sophie E, Noble, Jillian, Stanway, Susannah, Lucas, Amanda, Mohammed, Kabir, van der Graaf, Winette, Husson, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961395/
https://www.ncbi.nlm.nih.gov/pubmed/31941539
http://dx.doi.org/10.1186/s13063-019-3971-6
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author Lidington, Emma
McGrath, Sophie E
Noble, Jillian
Stanway, Susannah
Lucas, Amanda
Mohammed, Kabir
van der Graaf, Winette
Husson, Olga
author_facet Lidington, Emma
McGrath, Sophie E
Noble, Jillian
Stanway, Susannah
Lucas, Amanda
Mohammed, Kabir
van der Graaf, Winette
Husson, Olga
author_sort Lidington, Emma
collection PubMed
description BACKGROUND: There are a growing number of mHealth tools for breast cancer patients but a lack of scientific evidence for their effects. Recent studies have shown a mix of positive and negative impacts on users. Here we will assess the impact of OWise Breast Cancer, a mobile application for self-monitoring symptoms and managing care, on the process of self-management. METHODS: This randomized controlled trial with early stage breast cancer patients will assess the effect of OWise use on patient activation at 3 months from diagnosis measured by the PAM-13 questionnaire. We will also assess differences in changes in health-related quality of life, psychological distress, health status, and National Health Service (NHS) health resource utilization over the first year from diagnosis. Participants will be randomly allocated (1:1) to standard care or standard care plus OWise. Participants will complete questionnaires before starting anti-cancer treatment and at 3, 6, and 12 months from diagnosis. Clinical and patient-reported outcome data will be linked to health resource utilization data from Discover, an integrated care record of primary, secondary, and social care in North West London. We will measure contamination in the control group and adjust the sample size to mitigate the dilution of effect estimates. A per-protocol analysis will be conducted as a sensitivity analysis to assess robustness of the primary results. DISCUSSION: This study aims to generate evidence for the effectiveness of OWise at improving patient activation for women with early-stage breast cancer. The results will show the impact of using the tool at the patient level and the NHS health system level. The outcomes of the study will have implications for the application of OWise across the NHS for breast cancer patients and expansion into other tumor types. Assessing publicly available mHealth tools poses a challenge to trialists due to the risk of contamination. Here we apply various methods to measure, mitigate, and assess the effects of contamination. TRIAL REGISTRATION: The study was registered at clincaltrials.gov (NCT03866655) on 7 March 2019. 
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spelling pubmed-69613952020-01-17 Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT) Lidington, Emma McGrath, Sophie E Noble, Jillian Stanway, Susannah Lucas, Amanda Mohammed, Kabir van der Graaf, Winette Husson, Olga Trials Study Protocol BACKGROUND: There are a growing number of mHealth tools for breast cancer patients but a lack of scientific evidence for their effects. Recent studies have shown a mix of positive and negative impacts on users. Here we will assess the impact of OWise Breast Cancer, a mobile application for self-monitoring symptoms and managing care, on the process of self-management. METHODS: This randomized controlled trial with early stage breast cancer patients will assess the effect of OWise use on patient activation at 3 months from diagnosis measured by the PAM-13 questionnaire. We will also assess differences in changes in health-related quality of life, psychological distress, health status, and National Health Service (NHS) health resource utilization over the first year from diagnosis. Participants will be randomly allocated (1:1) to standard care or standard care plus OWise. Participants will complete questionnaires before starting anti-cancer treatment and at 3, 6, and 12 months from diagnosis. Clinical and patient-reported outcome data will be linked to health resource utilization data from Discover, an integrated care record of primary, secondary, and social care in North West London. We will measure contamination in the control group and adjust the sample size to mitigate the dilution of effect estimates. A per-protocol analysis will be conducted as a sensitivity analysis to assess robustness of the primary results. DISCUSSION: This study aims to generate evidence for the effectiveness of OWise at improving patient activation for women with early-stage breast cancer. The results will show the impact of using the tool at the patient level and the NHS health system level. The outcomes of the study will have implications for the application of OWise across the NHS for breast cancer patients and expansion into other tumor types. Assessing publicly available mHealth tools poses a challenge to trialists due to the risk of contamination. Here we apply various methods to measure, mitigate, and assess the effects of contamination. TRIAL REGISTRATION: The study was registered at clincaltrials.gov (NCT03866655) on 7 March 2019.  BioMed Central 2020-01-15 /pmc/articles/PMC6961395/ /pubmed/31941539 http://dx.doi.org/10.1186/s13063-019-3971-6 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Lidington, Emma
McGrath, Sophie E
Noble, Jillian
Stanway, Susannah
Lucas, Amanda
Mohammed, Kabir
van der Graaf, Winette
Husson, Olga
Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)
title Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)
title_full Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)
title_fullStr Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)
title_full_unstemmed Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)
title_short Evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (ADAPT)
title_sort evaluating a digital tool for supporting breast cancer patients: a randomized controlled trial protocol (adapt)
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961395/
https://www.ncbi.nlm.nih.gov/pubmed/31941539
http://dx.doi.org/10.1186/s13063-019-3971-6
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