The Mobile Health Platform (mHealth)

February 21, 2017 updated by: Duke University

The Mobile Health Platform - Development and Feasibility Evaluation

This study develops and pilots the initial interface of our mobile health platform that will allow for intra-individual tailoring and personalization of health interventions. This will allow for just-in-time interventions that adapt both the content and timing, not just initially, but also over time based upon prior outcome data, responses to an intervention, current environmental and social context, activity level, location, time, and an individual's psychophysiological state.1,2

Aim 1: To develop the initial interface of the mobile health platform that will allow patients to report and receive data representing multiple health domains including blood pressure, pO2 (pulse oximeter), values, weight, physical activity, calories burned, sleep, and self-report survey measures such as pain and fatigue.

Aim 2: To assess feasibility of the mobile health platform to receive and deliver data representing multiple health domains over 1 month through a single-case study design (N=6).3 Aim 3: To develop an algorithm using the diet data collected in Aim 1 that will facilitate adaptive work by providing patients with automated real time feedback on their progress.

Aim 4: To develop an algorithm using the diet data collected in Aim 1 that will that will facilitate adaptive approaches by alerting clinicians on the progress of their patients.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

At baseline we will collect demographic variables and acceptance and use of technology from surveys, and biological variables including blood pressure, weight, and blood glucose from electronic medical records. Over a period of 1 month, participants will be asked to track and collect daily data on weight using the iHealth wireless scale. Participants will also collect blood pressure (BP), pO2, and pulse using the iHealth blood pressure device. Physical activity and sleep activity will be measured using the fitbit device. Participants will receive evidence-based daily nutrition and exercise weight loss messages via text messages.

Following the one-month observation participants will be asked to complete a follow-up survey on acceptance and use of technology and to undergo a post-formative semi-structure telephone interview to discuss their perception of the usefulness and attitudes toward the platform, technical difficulties and barriers, and recommendations for future development.

Study Type

Interventional

Enrollment (Actual)

6

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • North Carolina
      • Durham, North Carolina, United States, 27710
        • Duke University Medical Center, Pickens Primary Care Clinic

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patient of Picket primary care clinic
  • All subjects will provide written informed consent.
  • Three participants who have multiple chronic illnesses.
  • Chronic illnesses of obesity (BMI>29)
  • Chronic hypertension (SBP>140)
  • Three healthy participants who do not have any chronic illnesses.
  • Own a smartphone with a data and text messaging plan.
  • Have Wifi available in the home.

Exclusion Criteria:

  • No internet/Wifi available in the home.
  • No Smartphone

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Device Feasibility
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in the Acceptance and use of technology survey
Time Frame: Baseline, up to 1 Month
Subject will take survey at Baseline, and the 1 month mark.
Baseline, up to 1 Month
Perception of perceived usefulness, attitudes, and experiences
Time Frame: 1 month
Questions will be asked in the interviews regarding perceived usefulness, attitudes, and experiences of the mHealth applications. The results will be divided into three main categories of positive, negative, and neutral perceptions.
1 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Duke University

Investigators

  • Principal Investigator: Ryan J. Shaw, RN, Phd, Duke University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2014

Primary Completion (Actual)

October 1, 2014

Study Completion (Actual)

October 1, 2014

Study Registration Dates

First Submitted

March 26, 2014

First Submitted That Met QC Criteria

March 28, 2014

First Posted (Estimate)

March 31, 2014

Study Record Updates

Last Update Posted (Actual)

February 23, 2017

Last Update Submitted That Met QC Criteria

February 21, 2017

Last Verified

October 1, 2014

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Pro00048816

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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