Advanced Symptom Management System for Patients with Malignant Pleural Mesothelioma (ASyMSmeso): Mixed Methods Study
Open accessPublished version of a preprint
Abstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions.
“Numerous studies have highlighted the benefits of remote patient monitoring between clinic visits in detecting health deterioration earlier and enabling prompt intervention, particularly for individuals with chronic conditions [44–50].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [48]
Studies on remote patient monitoring confirm the importance of HCP involvement with digital tools.
“Studies on remote patient monitoring confirm the importance of HCP involvement with digital tools [44–48].”
From Caregiver experiences of an integrative patient-centered digital health application for pediatric type 1 diabetes care: Findings from a pilot clinical trial (2025) · cites this paper as [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Basch, E., Deal, A. M., Kris, M. G., Scher, H. I., Hudis, C. A., Sabbatini, P., Rogak, L., Bennett, A. V., Dueck, A. C., Atkinson, T. M., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.63.0830 · Cited by 2,593 · see citing works
Design and analysis of pilot studies: recommendations for good practice
Lancaster, G. A., Dodd, S., & Williamson, P. R. (2004) · Journal of Evaluation in Clinical Practice · doi:10.1111/j..2002.384.doc.x · Cited by 2,572 · see citing works
Lara, P. N., Higdon, R., Lim, N., Kwan, K. W., Tanaka, M. S., Lau, D. H., Wun, T., Welborn, J. L., Meyers, F. J., Christensen, S., et al. (2001) · Journal of Clinical Oncology · doi:10.1200/jco.2001.19.6.1728 · Cited by 589 · see citing works
Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review
Vegesna, A., Tran, M., Angelaccio, M., & Arcona, S. (2017) · Telemedicine and e-Health · doi:10.1089/tmj.2016.0051 · Cited by 404 · see citing works
Modeling Patients' Acceptance of Provider-delivered E-health
Wilson, E. V. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1475 · Cited by 352 · see citing works
Cancer Survivors’ Experience With Telehealth: A Systematic Review and Thematic Synthesis.
Cox, A., Lucas, G., Marcu, A., Piano, M., Grosvenor, W., Mold, F., Maguire, R., & Ream, E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6575 · Cited by 330 · see citing works
Self-citationDESIGNING AND CONDUCTING MIXED METHODS RESEARCH (2nd Edition)
ภู่พันธ์, ศ. (2015) · วารสารวิธีวิทยาการวิจัย (Journal of Research Methodology: JRM) · Cited by 302 · see citing works
Lennon, M. R., Bouamrane, M.-M., Devlin, A. M., O'Connor, S., O'Donnell, C., Chetty, U., Agbakoba, R., Bikker, A., Grieve, E., Finch, T., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6900 · Cited by 264 · see citing works
Yates, D. H., CORRIN, B., Stidolph, P. N., & Browne, K. (1997) · Thorax · doi:10.1136/thx.52.6.507 · Cited by 210 · see citing works
Mooney, K. H., Beck, S. L., Wong, B. G., Dunson, W., Wujcik, D. M., Whisenant, M., & Donaldson, G. W. (2017) · Cancer Medicine · doi:10.1002/cam4.1002 · Cited by 210 · see citing works
McCann, L., Maguire, R., MILLER, M., & Kearney, N. (2009) · European Journal of Cancer Care · doi:10.1111/j.1365-2354.2008.00938.x · Cited by 191 · see citing works
Self-citationMaguire, R., Fox, P. A., McCann, L., Miaskowski, C. A., Kotronoulas, G., Miller, M., Furlong, E., Ream, E., Armes, J., Patiraki, E. I., et al. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-015016 · Cited by 172 · see citing works
Self-citationDevelopment of a Novel Remote Patient Monitoring System
Maguire, R., Ream, E., Richardson, A. M., Connaghan, J., Johnston, B. M., Kotronoulas, G., Pedersen, V. H., McPhelim, J., Pattison, N. A., Smith, A., et al. (2014) · Cancer Nursing · doi:10.1097/ncc.0000000000000150 · Cited by 120 · see citing works
Self-citationBell, J. A. H., & Balneaves, L. G. (2015) · Supportive Care in Cancer · doi:10.1007/s00520-014-2581-9 · Cited by 93 · see citing works
Ahmed, N., Bestall, J., Payne, S. A., Noble, B., & Ahmedzai, S. H. (2008) · Supportive Care in Cancer · doi:10.1007/s00520-008-0521-2 · Cited by 82 · see citing works
Living with mesothelioma. A literature review
Moore, S. G., Darlison, L., & Tod, A. (2009) · European Journal of Cancer Care · doi:10.1111/j.1365-2354.2009.01162.x · Cited by 80 · see citing works
Adapting the Lung Cancer Symptom Scale (LCSS) to mesothelioma
Hollen, P. J., Gralla, R. J., Liepa, A. M., Symanowski, J. T., & Rusthoven, J. J. (2004) · Cancer · doi:10.1002/cncr.20315 · Cited by 67 · see citing works
Lung cancer * 8: Management of malignant mesothelioma
Parker, C. C. (2003) · Thorax · doi:10.1136/thorax.58.9.809 · Cited by 64 · see citing works
Ball, H., Moore, S. G., & Leary, A. (2016) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2016.09.007 · Cited by 60 · see citing works
The lived experience of patients with pleural mesothelioma
Hughes, N., & Arber, A. (2008) · International Journal of Palliative Nursing · doi:10.12968/ijpn.2008.14.2.28597 · Cited by 59 · see citing works
Self-citation‘It's all bad news’: the first 3 months following a diagnosis of malignant pleural mesothelioma
Arber, A., & Spencer, L. (2012) · Psycho-Oncology · doi:10.1002/pon.3162 · Cited by 53 · see citing works
Self-citationGuglielmucci, F., Franzoi, I. G., Bonafede, M., Borgogno, F. V., Grosso, F., & Granieri, A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00205 · Cited by 38 · see citing works
Hughes, P., Ahmed, N., Winslow, M., et al. (2013) · Health Expectations · doi:10.1111/hex.12058 · Cited by 34 · see citing works
Aldiss, S., Taylor, R. M., Soanes, L., et al. (2010) · Journal of research in nursing · doi:10.1177/1744987110380803 · Cited by 24 · see citing works
Malignant pleural mesothelioma
Ceresoli, G. L., Betta, G. P., Castagneto, B., et al. (2006) · Annals of Oncology · doi:10.1093/annonc/mdj912 · Cited by 22 · see citing works
Chapman, E. K., Hughes, D., Landy, A., Whale, J., & Saunders, M. (2005) · Palliative & Supportive Care · doi:10.1017/s1478951505050078 · Cited by 14 · see citing works
Oakley, C., Taylor, C., Ream, E., et al. (2016) · Psycho-Oncology · doi:10.1002/pon.4320 · Cited by 11 · see citing works
Findings from the National Mesothelioma Experience Survey
Darlison, L., Mckinley, D., & Moore, S. G. (2014) · Cancer Nursing Practice · doi:10.7748/cnp2014.04.13.3.32.e1063 · Cited by 10 · see citing works
Oakley, C. M., Taylor, C., Ream, E., & Metcalfe, A. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2017.35.15_suppl.e21560 · Cited by 6 · see citing works
Johnston, B. M., Maguire, R., & Kearney, N. (2011) · European Journal of Cancer · doi:10.1016/s0959-8049(11)71346-6 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- [21]Hollen PJ Gralla RJ Liepa AM Symanowski JT Rusthoven JJ Adapting the Lung Cancer Symptom Scale (LCSS) to mesothelioma: using the LCSS-Meso conceptual model for validation Cancer 2004 8 01 101 3 587 95 10.1002/cncr.20315 10.1002/cncr.20315 15274072 15274072 · DOI
Cited by
Sorted by citations
Maguire, R., McCann, L., Kotronoulas, G., Kearney, N., Ream, E., Armes, J., Patiraki, E., Furlong, E., Fox, P., Gaiger, A., et al. (2021) · BMJ · doi:10.1136/bmj.n1647 · Cited by 243 · see citing works
Self-citationSerrano, L. P., Maita, K. C., Avila, F. R., Torres-Guzman, R. A., Garcia, J. P., Eldaly, A. S., Haider, C. R., Felton, C. L., Paulson, M. R., Maniaci, M. J., et al. (2023) · The Permanente Journal · doi:10.7812/tpp/23.022 · Cited by 162 · see citing works
Amed, S., Pinkney, S., Abdulhussein, F. S., Virani, A., Zachariuk, C., Tamana, S. K., Muralidharan, S., Görges, M., Barrett, B., van Rooij, T., et al. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000861 · Cited by 1 · see citing works
“Studies on remote patient monitoring confirm the importance of HCP involvement with digital tools [44–48].”
- Authors
- Maguire, R., Connaghan, J., Arber, A., Klepacz, N., Blyth, K. G., McPhelim, J., Murray, P., Rupani, H., Chauhan, A., Williams, P., McNaughton, L., Woods, K., & Moylan, A.
- Affiliations
- University of Strathclyde (GB)
- University of Surrey (GB)
- NHS Greater Glasgow and Clyde (GB)
- NHS Lanarkshire (GB)
- Ashford and St Peter's Hospitals NHS Foundation Trust (GB)
- Portsmouth Hospitals NHS Trust (GB)
- Corresponding author
- Maguire, Roma
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2020-11-12
- Volume
- 22
- Issue
- 11
- Pages
- e19180
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC7691092
- OpenAlex
- W3102433264
- Cited by
- 38
- References
- 32
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 6 · 2023: 15 · 2021: 2
- FWCI
- 4.44
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Funders
- British Lung Foundation
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Keywords
- malignant pleural mesothelioma, remote symptom monitoring, feasibility and acceptability, patient-reported outcomes, quality of life, technology acceptance model, SPARC, home care, patient-clinician communication, caregivers
- MeSH terms
- Mesothelioma, Malignant, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Prognosis, Quality of Life, Survival Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review