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Development of Distress Management Algorithms Using Mobile Device Based Health Logs in Breast Cancer Survivors

Development of Distress Management Algorithms Using Mobile Device Based Health Logs in Breast Cancer Survivors

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03072966
Enrollment
160
Registered
2017-03-08
Start date
2017-06-13
Completion date
2018-12-31
Last updated
2019-01-10

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

Conditions

Breast Cancer, Quality of Life

Keywords

Distress, Exercise, Wearable device, Smartphone

Brief summary

Distress monitoring is an important issue in cancer survivors. However, conventional distress screening is very difficult to perform. This study investigates the efficacy of wearable device as a tool of distress monitoring in breast cancer survivors.

Interventions

DEVICEWearable device (Fitbit Charge HR® or Fitbit Alta ®)

Physical activities will be monitored by wearable device.

Sponsors

Asan Medical Center
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
20 Years to 60 Years
Healthy volunteers
No

Inclusion criteria

* Stage 0-III breast cancer

Exclusion criteria

* Stage IV breast cancer * Breast cancer recurrence or metastasis * Severe medical illness

Design outcomes

Primary

MeasureTime frameDescription
Efficacy of distress screening of wearable device6monthsThe results of distress screening questionnaire and patterns of physical activities are going to be compared. The association between those two data will be analyzed. Using data of physical activities, the prediction model of distress will be tested and validated.

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 20, 2026