Abstract 1835P
Background
Digital chemotherapy app (Vinehealth®) is an innovative digital platform that combines behavioural science and artificial Intelligence to improve cancer patient experience and care delivery. It is a patient-facing mobile app that collates information from partners across the cancer treatment centres and Machine Learning driven personalised support to enable better self-management of medications, side-effects, symptoms and lifestyles.
Methods
Patients undergoing adjuvant chemotherapy for breast, lung and colorectal cancer were randomised to use the app or to the standard of care. The primary endpoint was QOL assessed by FACT-G (PWB) at 12 weeks. Secondary endpoints looked at the improvement of patients’ compliance with Patient Reported Outcomes data collection using FACT-G (PWB), EQ-5D-5L and EORTC QLQ-C30 at 6/12 and 18/24 weeks, resource use data, and qualitative assessment tool to assess patients’ and health professionals’ views. 2 points difference on FACT-G (PWB) was considered meaningful, 126 evaluable patients were needed for 80% power with significance level of 0.05.
Results
173 patients with breast (68.2%), colorectal (30.1%) and lung cancer (1.7%) were recruited. 140 (77 on the standard of care and 63 on the app arm) were evaluable. The QOL did not differ between arms (adjusted difference 0.37 95%CI (-1.62-2.36). There were no significant differences between the secondary endpoints of EQ5D and EORTC QLQ-C30 at all time points. Resource use data (A&E attendances and calls to acute oncology) showed no significant differences between arms. Majority of patients found the app easy to use, useful for tracking symptoms, temperature, feelings, and medication. Patients used it more during the first two cycles of chemotherapy and commented that it gave them the sense of control. Patients aged 75+ had almost double the average total logs per user compared to the 25-34 age bracket with both age brackets having a similar number of participants.
Conclusions
Use of electronic chemotherapy app (Vinehealth®) does not improve the quality of life but patients find it a useful tool to use during their treatment. An addition of clinician’s portal is currently being evaluated.
Clinical trial identification
IRAS number, 300753; ISRCTN number 44293246.
Editorial acknowledgement
Legal entity responsible for the study
University of Surrey, Surrey Clinical Trials' Unit.
Funding
UKRI Innovate UK Biomedical Catalyst 2020.
Disclosure
A. Michael: Financial Interests, Personal, Advisory Board: EUSA Pharma, Tesaro; Financial Interests, Personal, Invited Speaker: GSK, Ipsen, Clovis, Novartis, Pfizer; Financial Interests, Personal, Other, travel, accomodation: Merck; Financial Interests, Personal, Other, conference attendance: Ipsen; Financial Interests, Local PI: CARINA Trial, Vinehealth, OVAL-1; Financial Interests, Institutional, Local PI: MODIFY. S. Popat: Financial Interests, Personal, Full or part-time Employment, User Expereince Manager: VInehealth. R. Patel, G. Kirby: Financial Interests, Personal, Stocks or ownership: VInehealth; Financial Interests, Personal, Full or part-time Employment: Sciensus. M. Kelly: Financial Interests, Personal, Full or part-time Employment: VInehealth. A.H. Montazeri: Financial Interests, Institutional, Advisory Board: Seagen, Servier; Non-Financial Interests, Personal, Invited Speaker: Servier; Financial Interests, Personal, Advisory Role: Servier. R. Shah: Financial Interests, Personal, Advisory Board, Advisory board + speaker roles: BMS; Financial Interests, Personal, Advisory Board, Ad board and speaker roles: Boehringer Ingelheim, AstraZeneca, Roche, MSD, Pfizer, Lilly, Novartis, Takeda, Bayer, Beigene, Guardant, Sanofi, EQRx, Merck; Financial Interests, Personal, Other, specialist advisor: Genesiscare; Non-Financial Interests, Leadership Role, Steering committee member: BTOG. R. Bowen: Financial Interests, Personal, Advisory Board: GSK, AstraZeneca, MSD, Clovis, Eisai, PharmaAnd. All other authors have declared no conflicts of interest.
Resources from the same session
1853P - Risk model for overall survival (OS) based on composite patient-reported outcomes (PROs) in aNSCLC patients treated with first-line (1L) cemiplimab-based therapy
Presenter: David Gandara
Session: Poster session 12
1854P - Assessing mortality rates within 30 days following the last dose of immunotherapy: A multi-center retrospective study
Presenter: Kadriye Baskurt
Session: Poster session 12
1855P - Analyzing the utility of the cancer therapy satisfaction questionnaire (CTSQ)
Presenter: Carolina Navas
Session: Poster session 12
1856P - Prediction of clinically significant bleeding in anticoagulated patients for cancer-associated venous thromboembolism: Validation of B-CAT score in a cohort from the TESEO study
Presenter: Javier López Robles
Session: Poster session 12
1857P - Machine learning models (MLM) predict venous thromboembolism events (VTE) in Asian oncological inpatients better than the Khorana Score (KS)
Presenter: Jerold Loh
Session: Poster session 12
1858P - Efficacy and safety of thromboprophylaxis in oncology patients with Khorana score<2: Combined results from GMaT and ACT4CAT studies
Presenter: Nikolaos Tsoukalas
Session: Poster session 12
1860P - The impact of sodium-glucose cotransporter-2 inhibitors on thrombosis and cardiovascular disease in patients with polycythemia vera or essential thrombocytopenia
Presenter: Yuanping Hsia
Session: Poster session 12
1861P - Poly (ADP-Ribose) polymerase inhibitors (PARPI): Associated thrombosis in patients with ovarian cancer
Presenter: Manuel Sanchez Canovas
Session: Poster session 12
1862P - A single-arm, phase II trial of hetrombopag for the treatment of concurrent chemoradiotherapy-induced thrombocytopenia in patients with advanced solid tumors
Presenter: Weiwen Zhou
Session: Poster session 12
1863P - Circulating biomarkers for risk stratification of cancer patients with chemotherapy associated febrile neutropenia
Presenter: Sofía Wikström Fernandez
Session: Poster session 12