mHealth to Early Detect Exacerbation for Older People With Heart Failure
NCT02506738 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 90
Last updated 2015-07-23
Summary
The aim of the study was to demonstrate the effectiveness of telemonitoring functional status and vital signs to early detect heart failure exacerbation, and to minimize readmissions and length of hospitalisations.
Patients over 75 with heart failure were included after a hospitalisation due to heart failure exacerbation. Patients were assigned randomly into intervention or control. The intervention group comprised 47 patients who were assessed through telemonitoring, while 40 followed traditional clinical pathways.
Patients were followed-up for 3 months after discharge, collecting emergency visits and readmissions due to a new heart failure exacerbation. Those patients in the intervention group used a commercial telemedicine system: Careline H@me, which was provided by the company SALUDNOVA. They system was personalized by adding the functional status monitoring capabilities. Thus, the system collected vital signs (i.e. blood pressure, heart rate, respiratory rate, oxygen saturation, glucose, and weight); symptoms of decompensated heart failure (i.e. dyspnoea and orthopnoea); and functional status (i.e. part of the Short Physical Performance Battery, SPPB) and a brief questionnaire (i.e. Do you have the medication?) every 48 hours.
Two staff geriatricians at the Hospital Universitario de Getafe accessed, during working days, a secured dedicated web-portal to assess the progression of their patients, evaluated through the monitored variables and the self reported symptoms. They reacted to the data, if needed, making a phone call or visiting the patient. Besides, patients could contact the geriatricians or attending the emergency room as usually.
After completion, we analysed the results. First, we carried out a descriptive analysis of the data. Later, we analysed the effects of the intervention with telemedicine and the predictive values of the different measured variables through logistic regressions.
Conditions
Interventions
- DEVICE
-
Intervention using mHealth
Patients in the intervention used at home a mobile system to monitor their clinical and health status.
Sponsors & Collaborators
-
SALUDNOVA SOLUTION S.L
collaborator UNKNOWN -
Instituto de Salud Carlos III
collaborator OTHER_GOV -
Hospital Universitario Getafe
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2010-08-31
- Primary Completion
- 2013-10-31
- Completion
- 2013-10-31
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