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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.
This observational study aims to investigate the relationship between post-discharge mobility metrics and the likelihood of recurrent hospitalizations among oncology patients. Eligible participants include those who have completed treatment in the oncology ward and have an ECOG performance status of 0-2. Patients admitted only for day treatments or with significant mobility limitations are excluded. Each patient receives a Huawei Watch Fit 2 smartwatch at discharge to record daily step counts, heart rate, and sleep duration, monitored remotely through a smartphone application.
In addition to these mobility and physiological metrics, patient-specific factors-such as diagnosis, reason for admission, date of last treatment, cancer stage, and age-are collected, as these may influence follow-up outcomes. Participants complete the FACT Quality of Life Survey and the Pittsburgh Sleep Quality Index at two time points: prior to discharge and again at follow-up, enabling a comparative assessment of quality of life and sleep quality over time. All patients receive general walking recommendations to support their recovery.
During the first 30 days post-discharge, activity and physiological data are continuously monitored through the app. The follow-up period extends to 90 days, during which any hospital readmissions are recorded. By analyzing trends in step count, sleep patterns, and heart rate variability, the study aims to determine whether decreased home mobility is associated with a higher risk of readmission, potentially enabling earlier interventions for at-risk individuals.
Participant recruitment for this study was completed ahead of schedule due to a higher-than-anticipated rate of eligible patient enrollment. The study is currently in the follow-up phase, and data collection for outcome measures is ongoing. The anticipated primary completion date is June 15, 2025.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Tracking Mobility and Health Data with a Smartwatch in Discharged Oncology Patients to Predict Rehospitalization: A Prospective Study | Device | The intervention involves daily monitoring of discharged oncology patients using a smartwatch (Huawei Watch Fit 2) to track physical activity (step count), heart rate, and sleep duration. Data is collected remotely via a smartphone app, allowing real-time tracking of health metrics post-discharge. This intervention is distinct in its focus on correlating mobility and physiological data with the risk of rehospitalization within a 30-90 day period. Patients will also receive recommendations to maintain daily walking routines as part of their post-discharge care. Additionally, quality of life and sleep quality assessments are conducted before discharge and at follow-up visits to provide a comprehensive overview of each patient's post-hospital recovery. |
| Measure | Description | Time Frame |
|---|---|---|
| Association Between Daily Step Count and Recurrent Hospitalization | To evaluate the relationship between daily step count, as recorded by a smartwatch, and the incidence of recurrent hospitalizations within 30 to 90 days post-discharge among oncology patients. The study aims to determine if lower daily step counts are associated with an increased risk of rehospitalization. | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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The study includes oncology patients discharged from the inpatient ward after completing their treatment regimen. Eligible participants are adults (≥18 years) with various cancer types and an Eastern Cooperative Oncology Group (ECOG) performance status of 0, 1, or 2, indicating the ability to perform basic ambulatory activities. The cohort will be analyzed for the relationship between post-discharge physical activity-assessed through daily step counts, heart rate, and sleep duration-and the risk of readmission within 90 days. Exclusion criteria include patients with significant mobility limitations, cognitive or psychiatric impairments, or those admitted only for outpatient or same-day treatments.
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| Name | Affiliation | Role |
|---|---|---|
| Nuriye Ozdemir, Prof. Dr. | Gazi University | Study Chair |
| Osman Sutcuoglu, Associate Professor | Ankara Etlik City Hospital | Study Director |
| Orhun Akdogan, MD | Gazi University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Etlik City Hospital | Ankara | Yenimahalle | 06170 | Turkey (Türkiye) | ||
| Gazi University |
Individual participant data (IPD) will not be shared due to privacy concerns and in alignment with ethical guidelines protecting participant confidentiality. Data sharing is restricted to maintain compliance with institutional and national regulations governing patient privacy. Currently, no plans exist to provide IPD access beyond the research team responsible for the study.
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| Ankara |
| Yenimahalle |
| 06560 |
| Turkey (Türkiye) |
| ID | Term |
|---|---|
| D009043 | Motor Activity |
| D007319 | Sleep Initiation and Maintenance Disorders |
| ID | Term |
|---|---|
| D001519 | Behavior |
| D020919 | Sleep Disorders, Intrinsic |
| D020920 | Dyssomnias |
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |
| D001523 | Mental Disorders |
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