Evaluation of a mobile phone-based, advanced symptom management system (ASyMS©) in the management of chemotherapy-related toxicity
Open accessAbstract
Objectives To evaluate the impact of a mobile phone-based, remote monitoring, advanced symptom management system (ASyMS) on the incidence, severity and distress of six chemotherapy-related symptoms (nausea, vomiting, fatigue, mucositis, hand-foot syndrome and diarrhoea) in patients with lung, breast or colorectal cancer.Design A two group (intervention and control) by five time points (baseline, pre-cycle 2, pre-cycle 3, pre-cycle 4 and pre-cycle 5) randomised controlled trial.Setting Seven clinical sites in the UK; five specialist cancer centres and two local district hospitals.Participants One hundred and twelve people with breast, lung or colorectal cancer receiving outpatient chemotherapy.Interventions A mobile phone-based, remote monitoring, advanced symptom management system (ASyMS).Main outcome measures Chemotherapy-related morbidity of six common chemotherapy-related symptoms (nausea, vomiting, fatigue, mucositis, hand-foot syndrome and diarrhoea).Results There were significantly higher reports of fatigue in the control group compared to the intervention group (odds ratio = 2.29, 95%CI = 1.04 to 5.05, P = 0.040) and reports of hand-foot syndrome were on average lower in the control group (odds ratio control/intervention = 0.39, 95%CI = 0.17 to 0.92, P = 0.031).Conclusion The study demonstrates that ASyMS can support the management of symptoms in patients with lung, breast and colorectal cancer receiving chemotherapy.
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?
Kearney et al. reported significant improvement in hand-foot syndrome (OR control/intervention = 0.39; 95% CI, 0.17-0.92; P = 0.031) in patients with lung, breast, and colorectal cancer using mobile phone-based remote monitoring of chemotherapy-related symptoms compared with usual care.
“Kearney et al. [26] in the United Kingdom reported significant improvement in fatigue (odds ratio, OR = 2.29; 95% CI, 1.04–5.05; P = 0.040) and hand-foot syndrome (OR control/intervention =0.39; 95% CI, 0.17–0.92; P = 0.031) in patients with lung, breast, and colorectal cancer using a mobile phone-based remote monitoring of chemotherapy-related symptoms in comparison to the usual care group.”
From Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review (2018) · cites this paper as [26]
Kearney et al. reported significant improvement in fatigue (OR = 2.29; 95% CI, 1.04-5.05; P = 0.040) in patients with lung, breast, and colorectal cancer using mobile phone-based remote monitoring of chemotherapy-related symptoms compared with usual care.
“Kearney et al. [26] in the United Kingdom reported significant improvement in fatigue (odds ratio, OR = 2.29; 95% CI, 1.04–5.05; P = 0.040) and hand-foot syndrome (OR control/intervention =0.39; 95% CI, 0.17–0.92; P = 0.031) in patients with lung, breast, and colorectal cancer using a mobile phone-based remote monitoring of chemotherapy-related symptoms in comparison to the usual care group.”
From Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review (2018) · cites this paper as [26]
Reporting cancer toxicity symptoms (e.g., hand-foot syndrome and mucositis) in real time might allow for more accurate measurement.
“Reporting cancer toxicity symptoms (e.g., hand-foot syndrome and mucositis) in real time might allow for more accurate measurement [26].”
From Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review (2018) · cites this paper as [26]
A quarter of the reviewed studies (3/12) reported feasibility of the mHealth intervention as a pilot study to assess potential for successful implementation.
“A quarter of the studies (3 out of 12) reported the feasibility of the mHealth intervention as a pilot study to assess the potential for successful implementation of the mHealth intervention to patients/participants [24–26].”
From Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review (2018) · cites this paper as [26]
Kearney et al. found that symptoms were reported differently on a paper-based questionnaire and mobile phone; participants in the mobile group reported lower levels of fatigue compared to those in the paper-based group (OR non-mobile/mobile = 2.29, 95% CI 1.04-5.05, P = 0.04).
“Kearney et al. [26] found that symptoms were reported differently on a paper-based questionnaire and mobile phone. Participants in the mobile group reported lower levels of fatigue compared to those in the paper-based group (OR non-mobile/mobile = 2.29, 95% CI 1.04–5.05, P = 0.04) [26].”
From Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review (2018) · cites this paper as [26]
Most studies utilized research staff to provide training in mHealth systems for participants via face-to-face or information group sessions, or through information materials, while one study used local nurses to train patients.
“Most studies utilized research staff to provide training in mHealth systems for the participants via face-to-face or information group sessions, or through information materials, while one study [26] used local nurses to train patients.”
From Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review (2018) · cites this paper as [26]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 36 · Cited by 263
Research works printed but not linked: 2
- Cleeland, C. S., Cleeland, L. M., Dar, R., & Rinehardt, L. C. 1986, "Factors influencing physician management of cancer pain", Cancer, vol. 58, no. 3, pp. 796-800.
- Kearney N, Muir L, Miller M, Gray, P. Using handheld computers to support patients receiving outpatient chemotherapy. European Journal of Cancer Supplements. 2003, 1 (5) S368-S369.
- Authors
- Kearney, N., McCann, L., Norrie, J., Taylor, L., Gray, P., McGee-Lennon, M., Sage, M., Miller, M., & Maguire, R.
- Affiliations
- University of Stirling (GB)
- University of Aberdeen (GB)
- University of Glasgow (GB)
- Kelvin Nanotechnology (United Kingdom) (GB)
- Corresponding author
- Kearney, N.
- Venue
- Supportive Care in Cancer
- Published
- 2008-10-25
- Volume
- 17
- Issue
- 4
- Pages
- 437-444
- ISSN
- 0941-4355 (ISSN-L)
- 1433-7339
- OpenAlex
- W2070183833
- Cited by
- 263
- References
- 36
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 15 · 2023: 22 · 2022: 20 · 2021: 13 · 2020: 21 · 2019: 18 · 2018: 29 · 2017: 26 · 2016: 18 · 2015: 12 · 2014: 14 · 2013: 14 · 2012: 9
- FWCI
- 3.35
- Type
- journal article
- Language
- en
- Open access
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Supportive Care in Cancer (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Stirling Online Research Repository (University of Stirling) (submittedVersion, public-domain)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- 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
- Keywords
- remote monitoring, nausea and vomiting, fatigue, mucositis, hand-foot syndrome, diarrhea, breast cancer, lung cancer, colorectal cancer, outpatient chemotherapy, symptom distress
- MeSH terms
- Adult, Aged, Antineoplastic Agents, Breast Neoplasms, Female, United Kingdom, Humans, Lung Neoplasms, Male, Middle Aged, Pilot Projects, Severity of Illness Index, Colorectal Neoplasms, Drug Monitoring, Telemedicine, Cell Phone
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
