St and ardised description of the telemonitoring algorithm can expedite the identification of key components in telemonitoring algorithms that allow accurate prediction of worsening heart failure
Introduction : Non-invasive telemonitoring programmes detecting deterioration of heart failure are increasingly used in heart failure care .
Aim : The aim of this study was to compare different monitoring algorithms used in non-invasive telemonitoring programmes for patients with chronic heart failure .
A Mobile Health Intervention Supporting Heart Failure Patients and Their Informal Caregivers: A Randomized Comparative Effectiveness Trial
Background Mobile health ( mHealth ) interventions may improve heart failure ( HF ) self-care , but st and ard models do not address informal caregivers ’ needs for information about the patient ’s status or how the caregiver can help . Objective We evaluated mHealth support for caregivers of HF patients over and above the impact of a st and ard mHealth approach . Methods We identified 331 HF patients from Department of Veterans Affairs outpatient clinics . All patients identified a “ CarePartner ” outside their household . Patients r and omized to “ st and ard mHealth ” ( n=165 ) received 12 months of weekly interactive voice response ( IVR ) calls including questions about their health and self-management . Based on patients ’ responses , they received tailored self-management advice , and their clinical team received structured fax alerts regarding serious health concerns . Patients r and omized to “ mHealth+CP ” ( n=166 ) received an identical intervention , but with automated emails sent to their CarePartner after each IVR call , including feedback about the patient ’s status and suggestions for how the CarePartner could support disease care . Self-care and symptoms were measured via 6- and 12-month telephone surveys with a research associate . Self-care and symptom data also were collected through the weekly IVR assessment s. Results Participants were on average 67.8 years of age , 99 % were male ( 329/331 ) , 77 % where white ( 255/331 ) , and 59 % were married ( 195/331 ) . During 15,709 call-weeks of attempted IVR assessment s , patients completed 90 % of their calls with no difference in completion rates between arms . At both endpoints , composite quality of life scores were similar across arms . However , more mHealth+CP patients reported taking medications as prescribed at 6 months ( 8.8 % more , 95 % CI 1.2 - 16.5 , P=.02 ) and 12 months ( 13.8 % more , CI 3.7 - 23.8 , P<.01 ) , and 10.2 % more mHealth+CP patients reported talking with their CarePartner at least twice per week at the 6-month follow-up ( P=.048 ) . mHealth+CP patients were less likely to report negative emotions during those interactions at both endpoints ( both P<.05 ) , were consistently more likely to report taking medications as prescribed during weekly IVR assessment s , and also were less likely to report breathing problems or weight gains ( all P<.05 ) . Among patients with more depressive symptoms at enrollment , those r and omized to mHealth+CP were more likely than st and ard mHealth patients to report excellent or very good general health during weekly IVR calls . Conclusions Compared to a relatively intensive model of IVR monitoring , self-management assistance , and clinician alerts , a model including automated feedback to an informal caregiver outside the household improved HF patients ’ medication adherence and caregiver communication . mHealth+CP may also decrease patients ’ risk of HF exacerbations related to shortness of breath and sudden weight gains .  mHealth+CP may improve quality of life among patients with greater depressive symptoms . Weekly health and self-care monitoring via mHealth tools may identify intervention effects in mHealth trials that go undetected using typical , infrequent retrospective surveys . Trial Registration Clinical Trials.gov NCT00555360 ; https:// clinical trials.gov/ct2/show/NCT00555360 ( Archived by WebCite at http://www.webcitation.org/6Z4Tsk78B )
St and ardised description of the telemonitoring algorithm can expedite the identification of key components in telemonitoring algorithms that allow accurate prediction of worsening heart failure
Introduction : Non-invasive telemonitoring programmes detecting deterioration of heart failure are increasingly used in heart failure care .
Aim : The aim of this study was to compare different monitoring algorithms used in non-invasive telemonitoring programmes for patients with chronic heart failure .