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.
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
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.
Type d'étude
Inscription (Réel)
Phase
- N'est pas applicable
Contacts et emplacements
Lieux d'étude
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North Carolina
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Durham, North Carolina, États-Unis, 27710
- Duke University Medical Center, Pickens Primary Care Clinic
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Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
La 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
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Faisabilité de l'appareil
- Répartition: N / A
- Modèle interventionnel: Affectation à un seul groupe
- Masquage: Aucun (étiquette ouverte)
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Change in the Acceptance and use of technology survey
Délai: 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
Délai: 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.
|
1 month
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Collaborateurs et enquêteurs
Parrainer
Les enquêteurs
- Chercheur principal: Ryan J. Shaw, RN, Phd, Duke University
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude
Achèvement primaire (Réel)
Achèvement de l'étude (Réel)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Estimation)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- Pro00048816
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