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Sponsor: Bispebjerg Hospital
Conditions: COPD, Heart Failure, Parkinson Disease, Arthritis, Old Age; Cachexia
Interventions: Digital nudging intervention target to change behavior
Countries: Denmark
Primary Objective To investigate if patients hospitalised for older adults with a decreased level of physical function, either related to a chronic condition e.g., COPD, Congestive heart failure, renal failure; infections; frailty and tendency of falling; orthopaedic surgery - after hip fracture will increase their time spent out of bed during hospitalisation and 3 months after discharge through visual feedback and motivational intervention about physical activities from a new mobile technology. Hypothesis Patients hospitalised for medical disease will increase their physical activity level during hospitalisation and 3 months after discharge through visual feedback and motivational intervention from a new mobile technology.
Sex: ALL
Age: 60 Years to —
Healthy volunteers: No
Study type: INTERVENTIONAL
Inclusion Criteria: An individual will be eligible for study participation if he/she meets the following criteria: Aged ≥60 1. Is admitted to one of the participating departments 2. Has signed informed consent 3. Reads and speaks Danish, Norwegian, Italian, or English Exclusion Criteria: An individual will be excluded from the study if he/she meets any of the following criteria: 1. Any condition that, in the opinion of the investigator, makes the person unfit for participation, e.g., delirium and/or psychotic symptoms; moderate or severe depression (GDS\>8 (short form)); major surgery; moderate/severe dementia (MoCA≤18); chemotherapy or radiation treatment ongoing at enrolment; moderate/severe frailty (CFS≥6) 2. Expected hospitalisation less than 24 hours 3. Has allergy towards band aid 4. Enrolled in any other clinical study within the duration of the current study. While these criteria represent the criteria for being observed, only patients observed for at least 24 hours are included in the analysis population. For practical reasons it is not possible to predict those patients eligible for the analysis population at inclusion. Hence, we will monitor more patients than we will analyse (see statistical analysis section).
- Copenhagen, Denmark