Last reviewed · How we verify
NCT03349918: PERCEPT
PERsonal ContExtual Precision healTh
NA trial testing Mobile Health Monitoring in Hypertension in 164 participants. Completed in 31 December 2018.
31 December 2018
Quick facts
| Lead sponsor | University of California, San Francisco |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | other |
| Enrollment | 164 |
| Start date | 6 November 2017 |
| Primary completion | 31 December 2018 |
| Estimated completion | 31 December 2018 |
| Sites | 1 location across United States |
Drugs / interventions tested
- Mobile Health Monitoring
Conditions studied
- Hypertension — all drugs for Hypertension →
- Depression — all drugs for Depression →
Sponsor
University of California, San Francisco
Who can join
Adults 18 to 80, any sex, with Hypertension or Depression. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The exponential growth of physiological, behavioral and environmental data generated through consumer mobile health (mHealth) devices and Internet of Things (IoT) technology provide unprecedented sources of personalized and contextual health information. If linked to clinical health data from the Electronic Health Record (EHR), these data can provide dynamic and individualized views of patient health states and trajectories that can greatly inform clinical care and health-related research. The investigators propose to advance precision health through the development and evaluation of a mobile application and data platform that collects, harmonizes and integrates mHealth and environmental data from patients' daily lives with their clinical histories and electronic health record data. The investigators propose a participatory design approach to implement and evaluate a precision health platform through the study and modeling of hypertension (HTN) and depression in patient communities of UC Davis (UCD) and UC San Francisco (UCSF). These chronic diseases have high prevalence across geography, socioeconomic status, and race/ethnicity, and have significant economic, societal and personal costs. They are considerably challenging to manage due to difficulties in acquiring high-quality and consistent data from patients outside of their clinical care appointments that is so needed for a full view of the patient's disease state. Despite a broad array of self-monitoring devices and consumer applications, mHealth data are not getting into the clinical care process, and patients do not regularly monitor their own health states, particularly during periods of medication change, when frequent assessments are especially important. The investigators propose to conduct a 6-month single arm feasibility study of 200 ambulatory men and women (100 each at UCSF and UCD) with either hypertension or depression to implement an open, web-accessible, standards driven and patient-centric data platform for the integration of patient-reported and clinical data.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT03349918
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03349918 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by University of California, San Francisco
- Last refreshed: 5 March 2019
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03349918.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing