- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06687330
Evaluating the Role of Step Counts in Predicting Readmission and Mortality (STEP-CANCER)
Evaluating the Role of Step Counts in Predicting Readmission and Mortality in Unplanned Hospitalized Cancer Patients: A Prospective Observational Study, STEP-CANCER
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.
Study Overview
Status
Detailed Description
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.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Yenimahalle
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Ankara, Yenimahalle, Turkey (Türkiye), 06560
- Gazi University
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Ankara, Yenimahalle, Turkey (Türkiye), 06170
- Etlik City Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
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.
Description
Inclusion Criteria:
- Age: 18 years and older.
- Oncology Ward Discharge: Patients who have been discharged from the oncology ward following inpatient treatment.
- Cancer Diagnosis: Patients diagnosed with any form of cancer who received treatment in the oncology ward.
- Treatment Completion: Patients who have completed their scheduled inpatient oncology treatment and have been discharged.
- Performance Status: Patients with an ECOG (Eastern Cooperative Oncology Group) performance status of 0, 1, or 2, indicating they are ambulatory and capable of basic physical activity.
- Follow-Up Availability: Patients who are willing and able to participate in a 90-day follow-up period after discharge.
- Technology Compliance: Patients who agree to wear a Huawei Watch Fit 2 smartwatch for the first 30 days post-discharge to track daily step count, heart rate, and sleep duration, and have access to a compatible smartphone for remote data monitoring.
- Survey Participation: Patients willing to complete the FACT Quality of Life Survey and Pittsburgh Sleep Quality Index before discharge and during follow-up visits.
Exclusion Criteria:
- Day Treatment Admissions: Patients admitted exclusively for day treatments or outpatient procedures, lacking a full inpatient admission in the oncology ward.
- Severe Mobility Limitations: Individuals with substantial mobility impairments, rendering them unable to perform basic ambulatory activities such as walking.
- Incompatibility with Technology Requirements: Patients who are unable or unwilling to wear the Huawei Watch Fit 2 smartwatch for data collection purposes or who lack access to a compatible smartphone for remote monitoring.
- Non-Adherence to Follow-Up Protocol: Patients who are unwilling or unable to comply with the 90-day follow-up requirements post-discharge.
- Incomplete Oncology Treatment Course: Individuals who have not completed the intended course of oncology treatment within the oncology ward prior to discharge.
- Cognitive or Psychiatric Impairments: Patients with significant cognitive or psychiatric disorders that impair their ability to provide informed consent or adhere to study protocols.
Study Plan
How is the study designed?
Design Details
- Observational Models: COHORT
- Time Perspectives: PROSPECTIVE
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Association Between Daily Step Count and Recurrent Hospitalization
Time Frame: 6 months
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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
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Orhun Akdogan, MD, Gazi University
- Study Chair: Nuriye Ozdemir, Prof. Dr., Gazi University
- Study Director: Osman Sutcuoglu, Associate Professor, Ankara Etlik City Hospital
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- E-77082166-604.01-1070182
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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