Evaluation of Home-based Sensor System to Detect Health Decompensation in Elderly Patients With History of CHF or COPD
Feasibility of Home-based, Ambient Passive Sensor Technology to Provide Early Warning of Health Decompensation by Detecting Deviations in Activities of Daily Living (ADLs) of Elderly Subjects With Diagnosed Chronic Disease
1 other identifier
observational
100
1 country
1
Brief Summary
Sensorum Health (Sensorum) is conducting a pilot study to determine if Sensorum's proprietary passive sensor network can be used to identify signals of early health decompensation in subjects prior to a hospitalization for chronic disease exacerbation or other ambulatory care sensitive conditions. Successful early detection would provide a window of opportunity to intervene outside of the acute setting in future interventional studies.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 28, 2022
CompletedFirst Submitted
Initial submission to the registry
May 3, 2023
CompletedFirst Posted
Study publicly available on registry
May 18, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 6, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 6, 2024
CompletedMay 18, 2023
May 1, 2023
1.7 years
May 3, 2023
May 9, 2023
Conditions
Outcome Measures
Primary Outcomes (2)
Recall of AI in passive sensor system
Evaluation of AI ability to prospectively detect hospital utilization event
90 days
Precision of AI in passive sensor system
Evaluation of AI ability to precisely predict hospital utilization event
90 days
Secondary Outcomes (2)
Recall of sensor data review by trained nurses
90 days
Precision of sensor data review by trained nurses
90 days
Study Arms (1)
Passive monitoring
No intervention
Interventions
Data collection of clinically relevant signals using home-based sensor system
Eligibility Criteria
Patients admitted as inpatient to Jersey Shore University Medical Center
You may qualify if:
- Aged 65 years or older
- Able to consent
- Documented history of diagnosis of chronic obstructive pulmonary disease (COPD) and/or congestive heart failure (CHF)
- Currently admitted to JSUMC for observation or as an inpatient with any diagnosis ≥1 prior hospital utilization events with any diagnosis (inpatient admissions, facility observation stays, or ED visits) in the past 12 months
You may not qualify if:
- Significant cardiac valvular disease
- End-Stage Renal Disease (ESRD)
- End-Stage CHF
- End-Stage COPD
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Jersey Shore University Medical Center, Hackensack Meridian Health
Neptune City, New Jersey, 07753, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Swapnel Patel, MD
Jersey Shore University Medical Center, Hackensack Meridian Health
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 3, 2023
First Posted
May 18, 2023
Study Start
September 28, 2022
Primary Completion
June 6, 2024
Study Completion
June 6, 2024
Last Updated
May 18, 2023
Record last verified: 2023-05
Data Sharing
- IPD Sharing
- Will not share