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 .
Simulated case management of home telemonitoring to assess the impact of different alert algorithms on work-load and clinical decisions
Background Home telemonitoring ( HTM ) of chronic heart failure ( HF ) promises to improve care by timely indications when a patient ’s condition is worsening . Simple rules of sudden weight change have been demonstrated to generate many alerts with poor sensitivity . Trend alert algorithms and bio-impedance ( a more sensitive marker of fluid change ) , should produce fewer false alerts and reduce workload . However , comparisons between such approaches on the decisions made and the time spent review ing alerts has not been studied . Methods Using HTM data from an observational trial of 91 HF patients , a simulated telemonitoring station was created and used to present virtual caseloads to clinicians experienced with HF HTM systems . Clinicians were r and omised to either a simple ( i.e. an increase of 2 kg in the past 3 days ) or advanced alert method ( either a moving average weight algorithm or bio-impedance cumulative sum algorithm ) . Results In total 16 clinicians review ed the caseloads , 8 r and omised to a simple alert method and 8 to the advanced alert methods .  Total time to review the caseloads was lower in the advanced arms than the simple arm ( 80 ± 42 vs. 149 ± 82 min ) but agreements on actions between clinicians were low ( Fleiss kappa 0.33 and 0.31 ) and despite having high sensitivity many alerts in the bio-impedance arm were not considered to need further action . Conclusion Advanced alerting algorithms with higher specificity are likely to reduce the time spent by clinicians and increase the percentage of time spent on changes rated as most meaningful . Work is needed to present bio-impedance alerts in a manner which is intuitive for clinicians
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 .