ArticleBMC cancer2018
Feasibility, validity and reliability of objective smartphone measurements of physical activity and fitness in patients with cancer.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 6 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Unsupervised Functional Capacity Testing at Home: A Systematic Review.Sports medicine - open · 2026Pooled it
- The Use of Wearable Devices in Oncology Patients: A Systematic Review.The oncologist · 2024Pooled it
- Smartphone-Based Passive Sensing in Monitoring Patients With Cancer: A Systematic Review.JCO clinical cancer informatics · 2023Pooled it
- Six-Minute Walk Distance in Breast Cancer Survivors-A Systematic Review with Meta-Analysis.International journal of environmental research and public health · 2021Pooled it
- Mobile Apps to Quantify Aspects of Physical Activity: a Systematic Review on its Reliability and Validity.Journal of medical systems · 2020Pooled it
- Mobilizing Breast Cancer Prevention Research Through Smartphone Apps: A Systematic Review of the Literature.Frontiers in public health · 2019Pooled it
- Smartphone measurements of physical activity and fitness are associated with early trial discontinuation of patients in (hemato)oncology phase I/II clinical trials.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Trial
- Machine Learning-Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones.JCO clinical cancer informatics · 2025Observational
- Perspectives, willingness, and current use of mobile health (mHealth) by patients with cancer for remote monitoring during cancer treatment: a Dutch national cross-sectional survey.ESMO real world data and digital oncology · 2025Article
- Feasibility and Acceptability of Collecting Passive Smartphone Data for Potential Use in Digital Phenotyping Among Family Caregivers and Patients With Advanced Cancer.JCO clinical cancer informatics · 2025Observational
- Remote Patient Monitoring Using Mobile Health Technology in Cancer Care and Research: Patients' Views and Preferences.JCO clinical cancer informatics · 2024Article
- Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study.JMIR research protocols · 2024Article
- Associations between performance-based and patient-reported physical functioning and real-world mobile sensor metrics in older cancer survivors: A pilot study.Journal of geriatric oncology · 2024Article
- Article
- Comparative effectiveness of smartphone healthcare applications for improving quality of life in lung cancer patients: study protocol.BMC pulmonary medicine · 2022Article
- Self-Administered Six-Minute Walk Test Using a Free Smartphone App in Asymptomatic Adults: Reliability and Reproducibility.International journal of environmental research and public health · 2022Article
- Effects of Supervised Exercise-Based Telerehabilitation on Walk Test Performance and Quality of Life in Patients in India With Chronic Disease: Combatting Covid-19.International journal of telerehabilitation · 2021Article
- Physical activity in patients with cancer: self-report versus accelerometer assessments.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Article
- Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review.Sensors (Basel, Switzerland) · 2020Review
- The Validity, Reliability, and Sensitivity of a Smartphone-Based Seated Postural Control Assessment in Wheelchair Users: A Pilot Study.Frontiers in sports and active living · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA patient's physical function plays a leading role in the treatment prescription for patients with cancer. Objective assessments of physical function may be more predictive for treatment tolerability and survival than frequently used subjective measures, such as the Eastern Cooperative Oncology Group/World Health Organization (ECOG/WHO) performance score. The use of smartphones to measure physical activity and fitness may provide an excellent opportunity to objectively estimate a patient's physical function against low costs and little time. We investigated feasibility, validity and reliability of smartphone measurements of step count and physical fitness in patients with cancer.
methodsIn total, 72 patients participated. They wore a smartphone for 14 days to measure the mean number of steps per day, concomitant with an accelerometer during the first 7 days. Patients performed a six-minute walk test (6MWT) twice outdoors via a smartphone application and once in a test environment in the hospital. Feasibility was evaluated by the proportion of patients who completed the study as well as smartphone assessments of step count and physical fitness. Validity was assessed with the intraclass correlation coefficient (ICC) between the accelerometer and the first week of the smartphone for step count, and between the 6MWT in the hospital and via the application for physical fitness. Test-retest reliability was assessed with the ICC between step count levels of the first and second week of smartphone assessments, and between the first and second six-minute walk test in the home environment.
resultsThe completeness of smartphone measurements was approximately 90% for step count and 64% for physical fitness assessments. Validity was excellent for step count (ICC = 0.97, p < 0.001) and fair for fitness (ICC = 0.47, p < 0.001). We found excellent test-retest reliability for step count (ICC = 0.91, p < 0.001) and physical fitness (ICC = 0.88, p < 0.001).
conclusionsThis study showed that objective smartphone measurements of step count in clinical practice are feasible, valid and reliable. These findings indicate that the use of smartphones to objectively assess physical activity in clinical cancer practice is promising and may be used to select patients for treatment and study participation, to monitor patients during treatment and to guide treatment decisions.
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