Evaluating the Role of Step Counts in Predicting Readmission and Mortality (STEP-CANCER)
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- STATUS
- Recruiting
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- days left to enroll
- 64
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- participants needed
- 200
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- sponsor
- Gazi University
Summary
This study investigates the relationship between physical activity, heart rate, and sleep quality with recurrent hospitalizations among discharged oncology patients. Following discharge, patients will wear Huawei smartwatches to enable daily tracking of step count, heart rate, and sleep duration through a connected smartphone app. Patients will also complete the FACT Quality of Life Survey and the Pittsburgh Sleep Quality Index during follow-up visits. The smartwatch monitoring will occur during the first 30 days post-discharge, while overall patient follow-up will extend up to 90 days. This study aims to determine if lower levels of home mobility, as indicated by step count and other activity metrics, correlate with an increased risk of hospital readmission within the 30-90 day period.
Description
This observational study aims to investigate the relationship between post-discharge mobility metrics and the likelihood of recurrent hospitalizations among oncology patients. Eligible patients include those who have completed treatment in the oncology ward and have an ECOG performance status of 0-1-2, with exclusions for individuals admitted only for day treatments or with significant mobility limitations. Each patient will be provided a Huawei Watch Fit 2 smartwatch upon discharge to record daily step counts, heart rate, and sleep duration, monitored remotely through a smartphone application.
In addition to these metrics, patient-specific factors-such as diagnosis, reason for admission, date of last treatment, cancer stage, and age-will be collected, as these may impact outcomes during follow-up. Patients will complete the FACT Quality of Life Survey and the Pittsburgh Sleep Quality Index at two time points: once before discharge and again at follow-up visits post-discharge, allowing for a comparative assessment of quality of life and sleep across these periods. All participants will receive general walking recommendations to support their recovery.
For the first 30 days post-discharge, daily activity and physiological data will be actively monitored through the app. The follow-up period will extend up to 90 days, during which any instances of hospital readmission will be documented. By analyzing patterns in step count, sleep quality, and heart rate variability, this study seeks to determine if reduced home mobility is associated with a higher risk of readmission, potentially guiding early interventions for at-risk patients.
Details
Condition | Exercise, Smart Watch, Quality of Life (QOL), Sleep Quality, Rehospitalization |
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Age | 18years - 80years |
Treatment | Tracking Mobility and Health Data with a Smartwatch in Discharged Oncology Patients to Predict Rehospitalization: A Prospective Study |
Clinical Study Identifier | NCT06687330 |
Sponsor | Gazi University |
Last Modified on | 14 November 2024 |
How to participate?
Additional screening procedures may be conducted by the study team before you can be confirmed eligible to participate.
Learn moreIf you are confirmed eligible after full screening, you will be required to understand and sign the informed consent if you decide to enroll in the study. Once enrolled you may be asked to make scheduled visits over a period of time.
Learn moreComplete your scheduled study participation activities and then you are done. You may receive summary of study results if provided by the sponsor.
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