Advanced Symptom Management System for Patients with Malignant Pleural Mesothelioma (ASyMSmeso): Mixed Methods Study
| Autor: | Kirstie Woods, Anne Arber, Kevin G Blyth, Roma Maguire, Peter Williams, Naomi Klepacz, Anoop Chauhan, Anne Moylan, Hitasha Rupani, John Connaghan, Laura McNaughton, J. McPhelim, Paul Murray |
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| Rok vydání: | 2020 |
| Předmět: |
Male
QA75 medicine.medical_specialty 020205 medical informatics Referral media_common.quotation_subject Health Informatics 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics 03 medical and health sciences 0302 clinical medicine Quality of life (healthcare) 0202 electrical engineering electronic engineering information engineering medicine eHealth malignant pleural mesothelioma cancer Humans Lung cancer mobile health Aged media_common Aged 80 and over Response rate (survey) Original Paper Symptom management business.industry lcsh:Public aspects of medicine Mesothelioma Malignant lcsh:RA1-1270 Middle Aged Prognosis medicine.disease Survival Analysis Feeling patient reported outcome measures telemedicine symptom monitoring 030220 oncology & carcinogenesis Quality of Life Physical therapy lcsh:R858-859.7 Female Technology acceptance model business |
| Zdroj: | Journal of Medical Internet Research, Vol 22, Iss 11, p e19180 (2020) Journal of Medical Internet Research |
| ISSN: | 1438-8871 |
| Popis: | Background Patients with malignant pleural mesothelioma (MPM) have a life-limiting illness and short prognosis and experience many debilitating symptoms from early in the illness. Innovations such as remote symptom monitoring are needed to enable patients to maintain wellbeing and manage symptoms in a proactive and timely manner. The Advanced Symptom Management System (ASyMS) has been successfully used to monitor symptoms associated with cancer. Objective This study aimed to determine the feasibility and acceptability of using an ASyMS adapted for use by patients with MPM, called ASyMSmeso, enabling the remote monitoring of symptoms using a smartphone. Methods This was a convergent mixed methods study using patient-reported outcome measures (PROMs) at key time points over a period of 2-3 months with 18 patients. The Sheffield Profile for Assessment and Referral for Care (SPARC), Technology Acceptance Model (TAM) measure for eHealth, and Lung Cancer Symptom Scale-Mesothelioma (LCSS-Meso) were the PROMs used in the study. Patients were also asked to complete a daily symptom questionnaire on a smartphone throughout the study. At the end of the study, semistructured interviews with 11 health professionals, 8 patients, and 3 carers were conducted to collect their experience with using ASyMSmeso. Results Eighteen patients with MPM agreed to participate in the study (33.3% response rate). The completion rates of study PROMs were high (97.2%-100%), and completion rates of the daily symptom questionnaire were also high, at 88.5%. There were no significant changes in quality of life, as measured by LCSS-Meso. There were statistically significant improvements in the SPARC psychological need domain (P=.049) and in the “Usefulness” domain of the TAM (P=.022). End-of-study interviews identified that both patients and clinicians found the system quick and easy to use. For patients, in particular, the system provided reassurance about symptom experience and the feeling of being listened to. The clinicians largely viewed the system as feasible and acceptable, and areas that were mentioned included the early management of symptoms and connectivity between patients and clinicians, leading to enhanced communication. Conclusions This study demonstrates that remote monitoring and management of symptoms of people with MPM using a mobile phone are feasible and acceptable. The evidence supports future trials using remote symptom monitoring to support patients with MPM at home. |
| Databáze: | OpenAIRE |
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