A Protected Discharge Model Using Technology in Multimorbid and Poly-treated Older Subjects
- Conditions
- Multimorbid and Poly-treated Older People
- Interventions
- Device: PRO-HOME intervention
- Registration Number
- NCT06227923
- Lead Sponsor
- Alberto Pilotto
- Brief Summary
The main goal of thi clinical trial is to evaluate if a protected discharge model can reduce the length of hospital stay in older participants aged over 65 years old who have been admitted to the hospital for an acute event and have been considered stable and dischargeable. Participants of the intervention group will be asked to transfer to a small apartment, inside the hospital setting, equipped by technological devices and to be involved in cognitive and physical activities during the stay. Researchers will compare this intervention group with a control group who receive normal clinical practice where older people remain in the hospital ward.
- Detailed Description
Participants who fit the inclusion criteria are randomized in two arms (intervention or control groups). All of them are evaluated with a comprehensive geriatric assessment (Multidimensional Prognostic Index), a depression scale (Geriatric Depression Scale), quality of Life scale (Short-Form 12 items), and physical parameters (Hand Grip, Short Physical Performance Battery, gait speed). In the intervention group the following clinical parameters will be collected through technological devices: spontaneous physical performance, sleep monitoring, gait speed, quality of movements, heart rate, SpO2, and other vital parameters.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 60
- participants aged 65 years or older;
- admitted to the acute geriatric units for an acute event;
- deemed stable and dischargeable from the hospital;
- good personal autonomy in the Activities of Daily Living (ADL) (according to the Katz ADL scoring≥ 3/6);
- normal cognition or mild cognitive impairment (Short Portable Mental Status Questionnaire (SPMSQ) ≤ 5/10);
- signed informed consent
- participants aged less than 65 years old
- not considerable stable and dischargeable
- ADL <3/6
- SPMSQ > 5/10
- not signed informed consent
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Intervention group PRO-HOME intervention Participants are transferred from the hospital ward to a small apartment with a technological assessment and monitoring established inside the hospital setting.
- Primary Outcome Measures
Name Time Method Length of hospital stay At 1 month after the baseline Evaluate the efficacy of a protected discharge model in terms of length of hospital stay in multimorbid and poly-treated older subjects
- Secondary Outcome Measures
Name Time Method Negative clinical outcome: re-hospitalization 1, 3 , 6 months after the baseline Evaluate negative clinical outcome about re-hospitalization recording the number of re-hospitalization (number of access in the hospital's wards and related reason) related to each patient after the intervention if relevant
Step mean through smartwatch At baseline Units of measure: number of steps
Daily inactivity time through smartwatch At baseline Units of measure: percentage of time spent inactive
Negative clinical outcome: institutionalization 1, 3 , 6 months after the baseline Evaluate negative clinical outcome about institutionalization recording the access in institution related to each patient after the intervention, if relevant
Negative clinical outcome: mortality 1, 3 , 6 months after the baseline Evaluate negative clinical outcome about mortality collecting the data about mortality (date and reason of death) if relevant
Heart rate through smartwatch At baseline Units of measure: bpm
Gait speed through kinect Azure At baseline Units of measure:meters/second
Distance covered through smartwatch At Baseline Units of measure: cm
Trunk/head oscillation (body sway /lean in) through kinect Azure At baseline Units of measure: degrees
Trial Locations
- Locations (1)
EO Ospedali Galliera
🇮🇹Genova, Italy