Kennedy, F orcid.org/0000-0002-4910-2505, Shearsmith, L, Holmes, M orcid.org/0000-0002-8944-5131 et al. (4 more authors) (2022) Electronic patient-reported monitoring of symptoms during follow-up of ovarian cancer patients: a feasibility study. BMC Cancer, 22. 726. ISSN 1471-2407
Abstract
Background
Ovarian cancer patients require monitoring for relapse. Innovative follow-up methods are increasingly being explored. An electronic patient-reported outcome (ePRO) follow-up pathway was developed for women treated for ovarian cancer. This feasibility study explored patient acceptability and compliance.
Methods
A single-arm non-blinded prospective feasibility study was undertaken at two hospitals. Participants were women who had completed treatment for ovarian cancer whose clinician was happy for them to be monitored remotely. Automated 3-monthly reminders were sent to participants to complete an ePRO questionnaire and obtain blood tests. Participants were reviewed over the phone by their clinical nurse specialist instead of attending clinic-based follow-up. The primary outcome was compliance (expected ePRO completions/blood tests) across the 12-month study period. Secondary outcomes were recruitment, attrition, resource use, symptom severity/alerts and patient acceptability.
Results
Twenty-four women consented (50% consent rate), and 13 remained on study at 12 months. Seven women relapsed, 3 chose to withdraw, and 1 withdrew for other clinical reasons. ePRO compliance was high and consistent at 75-82%, although the two hospitals differed. Adherence to the clinical protocol was evident for blood tests and contacts with staff (fewer visits, more phonecalls compared to an earlier audit). End-of-study feedback indicated high patient satisfaction.
Conclusions
Remote ePRO follow-up for ovarian cancer is feasible and acceptable to patients who are able and willing to participate. However, the low recruitment rate (ineligible + declined) indicate it is not suitable/acceptable to all patients immediately post-treatment. Further large-scale research and implementation work is required, especially in a post-COVID era.
Trial registration
ClinicalTrials.gov ID: NCT02847715 (first registered 19/05/2016).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
Keywords: | Ovarian cancer; Follow-up; Electronic patient-reported outcomes; Feasibility study; Compliance; Acceptability |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number Yorkshire Cancer Research L392 |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jul 2022 13:05 |
Last Modified: | 03 Aug 2022 14:50 |
Status: | Published |
Publisher: | BioMed Central |
Identification Number: | 10.1186/s12885-022-09817-5 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188364 |