Developing Health Care Service System
Developing Health Care Service System Based on Participatory Big Data
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
These changes enable the development of healthcare solutions that allow users to actively engage in healthcare and provide appropriate care measures to sufficiently delay or prevent chronic diseases, thereby minimizing the financial losses of the individuals and the society. In particular, chronic diseases such as metabolic syndrome can be prevented or delayed through healthy lifestyle habits. Controversy regarding the effectiveness of using wearable devices and mobile health applications for maintaining lifestyle habits and losing weight exists. Additionally, a study assessing the health of the participants and the disease prevention care for the participants using the genetic data and the lifelog data by the wearable device has not been conducted yet. Therefore, the objective is to operate a lifestyle correction program for examinees who visited a family medicine and health checkup center to develop a user-participation health and disease prevention care system using genetic data and lifelog data. From adults who visited a family medicine and health checkup center, the following should be performed: (1) collect a variety of clinical information, including lifestyle data, physical information, metabolic parameters, genetic information, and metagenomes, which can affect chronic diseases; (2) establish a service model that combines lifestyle data, examination data, and genetic data and analyzes and identifies one's health level through a smartphone application; and (3) examine the effects on the metabolic parameters, lifestyle data, and metagenome (gut microbiome) after using the device (smart healthcare).This pilot study aimed to provide personalized "my data" by linking clinical data and personal lifestyle patterns of the participants who visited a family medicine and examination center.
From adults who visited a family medicine and health check-up center, the following should be performed:
- Collect a variety of clinical information, including lifestyle data, physical information, metabolic parameters, genetic information, and metagenomes, which can affect chronic diseases
- Establish a service model that combines lifestyle data, examination data, and genetic data and analyzes and identifies one's health level through a smartphone application
- Examine the effects on the metabolic parameters, lifestyle data, and metagenome (gut microbiome) after using the device (smart healthcare) "
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Jiwon Lee, Professor
- Phone Number: 82-2-2019-3480
- Email: INDI5645@yuhs.ac
Study Locations
-
-
-
Seoul, Korea, Republic of
- Recruiting
- Gangnam Severance Hospital
-
Contact:
- Jiwon Lee, Professor
- Phone Number: 82-2-2019-3480
- Email: INDI5645@yuhs.ac
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Korean adults aged between 20 and 65 years who visited a family medicine and health checkup center
- Individuals who understand and are fluent in Korean language
- Individuals who provided consent for inclusion in the study
- Individuals who can complete the study without participating in other intervention studies (medicine, diet, exercise) during the whole research duration
- Individuals who have no restrictions on their participation in physical activities during the whole research duration
Exclusion Criteria:
- Individuals who did not provide consent for inclusion in the study or individuals who did not provide complete data
- Individuals with cognitive dysfunction or inability in using wearable devices
- Individuals with history of infectious brain diseases, head trauma, thyroid diseases, and substance abuse
- Individuals with vision, hearing, and speech impairments that can affect examinations
- Individuals considered unfit to participate in this study by researchers
- Individuals who do not use smartphones
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Wearing a wearable device (the smart watch) for 8 weeks
The smart watch to be used in this study is Fitbit Inspire HR.
This is a device that has a high worldwide use rate and has active research on its accuracy.
It is worn like a normal watch, and it can check heart rate, exercise level, energy consumed, and sleep quality.
The values can be checked in real-time on a smartphone application.
|
'Wearing a wearable device (the smart watch) for 8 weeks The smart watch to be used in this study is Fitbit Inspire HR. This is a device that has a high worldwide use rate and has active research on its accuracy. It is worn like a normal watch, and it can check heart rate, exercise level, energy consumed, and sleep quality. The values can be checked in real-time on a smartphone application.' |
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in metabolic parameter (HOMA-IR) at 8 weeks after smart healthcare intervention
Time Frame: 8 weeks after smart healthcare intervention
|
Changes in HOMA-IR (calculated using fasting glucose and insulin level) at 8 weeks after smart healthcare intervention.
|
8 weeks after smart healthcare intervention
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in other metabolic parameters, inflammatory parameters, metagenome related to the gut microbiome, and sleep quality, diet, and exercise at 8 weeks after smart healthcare intervention
Time Frame: 8 weeks after smart healthcare intervention
|
Changes in lipid profile (total cholesterol, TG, LDL-C, HDL-C levels) at 8 weeks after smart healthcare intervention.
|
8 weeks after smart healthcare intervention
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 3-2019-0226
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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