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Evaluating the Role of Step Counts in Predicting Readmission and Mortality

Evaluating the Role of Step Counts in Predicting Readmission and Mortality in Unplanned Hospitalized Cancer Patients: A Prospective Observational Study, STEP-CANCER

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06687330
Acronym
STEP-CANCER
Enrollment
220
Registered
2024-11-13
Start date
2024-11-07
Completion date
2025-08-15
Last updated
2025-08-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Exercise, Quality of Life (QOL), Rehospitalization, Sleep Quality, Smart Watch

Brief 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.

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.

Interventions

DEVICETracking Mobility and Health Data with a Smartwatch in Discharged Oncology Patients to Predict Rehospitalization: A Prospective Study

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.

Sponsors

Gazi University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Association Between Daily Step Count and Recurrent Hospitalization6 monthsTo 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.

Countries

Turkey (Türkiye)

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 13, 2026