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Real time remote symptom monitoring during chemotherapy for cancer: European multicentre randomised controlled trial (eSMART)

Authors :
Emma Ream
Alexander Gaiger
Margaret Moore
Morven Miller
Stylianos Katsaragakis
Simon S. Skene
Jenny Harris
Nicosha Desouza
Nora Kearney
Andrew Darley
Paul McCrone
Geir Vegard Berg
Peter T. Donnan
Eileen Furlong
Liane Lewis
Roma Maguire
Adrian Flowerday
Dawn Orr
Jo Armes
Elisabeth Patiraki
Patricia Fox
Simone Lubowitzki
Christine Miaskowski
Lisa McCann
Antonella Cardone
Grigorios Kotronoulas
Source :
The BMJ
Publication Year :
2021
Publisher :
BMJ Publishing Group, 2021.

Abstract

Objective To evaluate effects of remote monitoring of adjuvant chemotherapy related side effects via the Advanced Symptom Management System (ASyMS) on symptom burden, quality of life, supportive care needs, anxiety, self-efficacy, and work limitations. Design Multicentre, repeated measures, parallel group, evaluator masked, stratified randomised controlled trial. Setting Twelve cancer centres in Austria, Greece, Norway, Republic of Ireland, and UK. Participants 829 patients with non-metastatic breast cancer, colorectal cancer, Hodgkin’s disease, or non-Hodgkin’s lymphoma receiving first line adjuvant chemotherapy or chemotherapy for the first time in five years. Intervention Patients were randomised to ASyMS (intervention; n=415) or standard care (control; n=414) over six cycles of chemotherapy. Main outcome measures The primary outcome was symptom burden (Memorial Symptom Assessment Scale; MSAS). Secondary outcomes were health related quality of life (Functional Assessment of Cancer Therapy—General; FACT-G), Supportive Care Needs Survey Short-Form (SCNS-SF34), State-Trait Anxiety Inventory—Revised (STAI-R), Communication and Attitudinal Self-Efficacy scale for cancer (CASE-Cancer), and work limitations questionnaire (WLQ). Results For the intervention group, symptom burden remained at pre-chemotherapy treatment levels, whereas controls reported an increase from cycle 1 onwards (least squares absolute mean difference −0.15, 95% confidence interval −0.19 to −0.12; P Conclusions Significant reduction in symptom burden supports the use of ASyMS for remote symptom monitoring in cancer care. A “medium” Cohen’s effect size of 0.5 showed a sizable, positive clinical effect of ASyMS on patients’ symptom experiences. Remote monitoring systems will be vital for future services, particularly with blended models of care delivery arising from the covid-19 pandemic. Trial registration Clinicaltrials.gov NCT02356081 .

Details

Language :
English
ISSN :
17561833 and 09598138
Database :
OpenAIRE
Journal :
The BMJ
Accession number :
edsair.doi.dedup.....c446c4780c44d893a76b6880950fa7eb