Predict health deterioration in people aged 65 years and over who are living with multiple morbidities. Other
Conditions
Interventions
Intervention Arm:
Enrolment:
• Participants aged 65 and over with two or more chronic health conditions are recruited.
• Participants undergo an initial baseline visit where the study's details are ex
Sponsors
Surrey and Borders Partnership NHS Foundation Trust
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Age: 65 years and over 2. Have at least two long-term health conditions. This will include but is not limited to: 2.1. Arthritis 2.2. Chronic Kidney Disease 2.3. Chronic Obstructive Pulmonary Disease 2.4. Heart Disease or Failure 2.5. Depression 2.6. Diabetes 2.7. Hypertension 2.8. Liver disease 2.9. Stroke 2.10. Mental Health Disorders 3. Capacity to consent
Exclusion criteria
Exclusion criteria: 1. People with an unstable mental state including severe depression, severe psychosis, agitation and anxiety 2. People with severe sensory impairment 3. People who are receiving treatment for terminal illness at baseline (life expectancy less than 6 months or recognised as being in their last year of life) 4. People who lack capacity
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Feasibility of data collection from in-home devices and health assessments to inform the creation of machine learning models to predict health deterioration in people aged 65 and over who are living with multiple morbidities Measured by review of data completeness from in-home devices and health assessments throughout the 24-month study period, with continuous data collection | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Health Report Feedback collected from the participant’s care team regarding the health reports generated at regular intervals when reports are generated (weekly or aggregated over three months) 2. Carer Stress Levels measured using Questionnaires and data from in-home devices assessing carer stress levels continuously during the 24-month study period 3. Public and Clinician Survey on Remote Monitoring measured using an Online survey conducted with clinicians and members of the public. It is a one off 10 minute survey at any point during the study | — |
Countries
England, United Kingdom
Contacts
Public ContactAisling Quinn
Outcome results
None listed