Status
Conditions
Treatments
About
Heart failure is a chronic disease associated with an increasing risk of morbidity, disability, repeated hospitalizations and mortality. Telemedicine could promptly identify signs of worsening cardiac disease in order to improve elderly patients' home care and quality of life by reducing the need of hospital admissions and sanitary costs. The investigators present a randomized, parallel-group trial to test the ability of a multiparametric remote monitoring system, in addition to standard care, to promptly identify worsening of heart failure and prevent hospital admission and mortality.
Full description
The participants were recruited in two settings:
All the participants were evaluated at baseline and at the end of the study using a multi-dimensional assessment including well validated and routinely used tools to screen geriatric patients in order to detect global, physical and instrumental autonomy and consequent degree of dependence, as well as cognitive status. The assessment tool included: Activities of daily living scale (ADL) and Instrumental activities of daily living scale (IADL); Abbreviated mental Test; Geriatric Depression Scale; Physical Activity Scale for the Elderly; Six-minute walking test; The Short Form Health Survey (SF-12); Cumulative Illness Rating Scale (CIRS); complete list of drugs.
Once written consent form was obtained, participants were allocated to the study groups in a 1:1 ratio using a computer-generated random list of number.
Participants were followed up for six months. Patients in the intervention group were monitored via a system called PHEBO (Platform for High tech Evaluation of Biometrics Observation) that consisted of a commercial Android-based smartphone and a kit of measurement instruments (sphygmomanometer, pulse oximeter and an electronic scale) with a bluetooth transmitter.
The smartphone received via bluetooth the readings from the measurement instruments, communicated in real-time the readings to the central component of the system and issued reminders for the patient when measurement was scheduled.
Patients in the telemonitoring group received a training session during which they were instructed on how to use the monitoring system and how to perform measurements in case of symptoms. At the end of the session correct comprehension of the system functioning was tested for each patient. A study physician was available on call during office hours to assist patients needing further instructions. A technician was also available in order to solve ingoing hardware malfunctioning. Participants unable to properly use the kit were excluded from the study.
The kit was able to record peripheral oxygen saturation, heart rate, systolic, diastolic and average blood pressure, body weight, average physical activity. We set a specific schedule of the measurements:
The data received were evaluated every day by a geriatrician. The monitor system displayed an alert when a measurement was outside a predetermined range. In case of abnormal readings, the physician contacted the patient to verify whether their symptoms had worsened or new symptoms had arose. In this event, the patient's adherence to therapy was checked and, if unsatisfactory, individually tailored interventions promoting adherence were carried up. Otherwise, an once appointment (for patients with milder abnormalities or symptoms) or a hospital admission was scheduled.
Participants not included in the intervention group received standard care. In particular, patients discharged from the acute care ward received detailed instruction about medical therapy and lifestyle counselling. A follow-up visit was scheduled at 1 month after the discharge. A geriatrician was available for telephonic support from Monday to Friday, two hours/day. Patients enrolled in the ambulatory setting were followed by planned visits and by their general practitioner.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
Primary purpose
Allocation
Interventional model
Masking
100 participants in 2 patient groups
Loading...
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal