The Mobile Health Platform (mHealth)
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.
Studie Overzicht
Toestand
Conditie
Interventie / Behandeling
Gedetailleerde beschrijving
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.
Studietype
Inschrijving (Werkelijk)
Fase
- Niet toepasbaar
Contacten en locaties
Studie Locaties
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North Carolina
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Durham, North Carolina, Verenigde Staten, 27710
- Duke University Medical Center, Pickens Primary Care Clinic
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Beschrijving
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
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Toestel Haalbaarheid
- Toewijzing: NVT
- Interventioneel model: Opdracht voor een enkele groep
- Masker: Geen (open label)
Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
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Change in the Acceptance and use of technology survey
Tijdsspanne: Baseline, up to 1 Month
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Subject will take survey at Baseline, and the 1 month mark.
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Baseline, up to 1 Month
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Perception of perceived usefulness, attitudes, and experiences
Tijdsspanne: 1 month
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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.
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1 month
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Medewerkers en onderzoekers
Sponsor
Onderzoekers
- Hoofdonderzoeker: Ryan J. Shaw, RN, Phd, Duke University
Studie record data
Bestudeer belangrijke data
Studie start
Primaire voltooiing (Werkelijk)
Studie voltooiing (Werkelijk)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Schatting)
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- Pro00048816
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