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.
Panoramica dello studio
Stato
Condizioni
Intervento / Trattamento
Descrizione dettagliata
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.
Tipo di studio
Iscrizione (Effettivo)
Fase
- Non applicabile
Contatti e Sedi
Luoghi di studio
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North Carolina
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Durham, North Carolina, Stati Uniti, 27710
- Duke University Medical Center, Pickens Primary Care Clinic
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Criteri di partecipazione
Criteri di ammissibilità
Età idonea allo studio
Accetta volontari sani
Sessi ammissibili allo studio
Descrizione
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
Piano di studio
Come è strutturato lo studio?
Dettagli di progettazione
- Scopo principale: Fattibilità del dispositivo
- Assegnazione: N / A
- Modello interventistico: Assegnazione di gruppo singolo
- Mascheramento: Nessuno (etichetta aperta)
Cosa sta misurando lo studio?
Misure di risultato primarie
Misura del risultato |
Misura Descrizione |
Lasso di tempo |
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Change in the Acceptance and use of technology survey
Lasso di tempo: 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
Lasso di tempo: 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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Collaboratori e investigatori
Sponsor
Investigatori
- Investigatore principale: Ryan J. Shaw, RN, Phd, Duke University
Studiare le date dei record
Studia le date principali
Inizio studio
Completamento primario (Effettivo)
Completamento dello studio (Effettivo)
Date di iscrizione allo studio
Primo inviato
Primo inviato che soddisfa i criteri di controllo qualità
Primo Inserito (Stima)
Aggiornamenti dei record di studio
Ultimo aggiornamento pubblicato (Effettivo)
Ultimo aggiornamento inviato che soddisfa i criteri QC
Ultimo verificato
Maggiori informazioni
Termini relativi a questo studio
Parole chiave
Termini MeSH pertinenti aggiuntivi
Altri numeri di identificazione dello studio
- Pro00048816
Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .
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