Home telemonitoring reduces hospitalization for heart failure: a propensity-matched analysis of a routine clinical service

Yan Zhang, Chandra Kambhampati, John Cleland, J. Caffarel, H. Reiter, Kevin Goode, R. Dierckx, Darryl Davis

    Research output: Contribution to conferenceAbstract

    Abstract

    Purpose: Several reports suggest that Home Telemonitoring (HTM) may reduce mortality and possibly hospitalizations for heart failure (HF) but others have not confirmed this. Whether HTM is more or less effective in clinical practice than in clinical trials is uncertain. This analysis investigated variations in outcome of patients with Chronic Heart Failure (CHF) receiving HTM in a clinical service compared to those receiving conventional care.
    Methods: As part of the local heart failure service provision for the City of Kingston-upon-Hull (population circa 288,000), 225 patients were enrolled in the HTM service between April 2008 and May 2012, and 7418 patients had been registered in an out-patient service from Sep 1999 to Jun 2011. A literature review was carried out, and this together with recommendations from clinicians and completeness of data resulted in 43 features that were chosen as candidate covariates for the calculation of propensity scores (PS). Key co-variates included age, sex, weight, NT-proBNP, Blood pressure, Creatinine, Urea, Heart rate, Diabetic, Hypertension, Beta blocker, etc. Outcomes of interest were (time to first event) all-cause hospitalization or death, cardiovascular (CV) hospitalization or death, all-cause mortality and CV mortality.
    Results: Before PS matching, there were 1540 patients in the control group and 163 patients in the HTM group, who had an ECG, Echo, blood test, medication and physical examination during a specified time window. PS was calculated using a non-parsimonious multivariable logistic regression model and 161 pairs of patients with a similar PS (to two decimal places) were matched. Risks of the four types of outcomes were then analysed using Kaplan-Meier methods and are plotted (see figure 1). At two year, all-cause hospitalization or death was 42.0% in the HTM group and 62.8% in the control group (p <0.001); CV hospitalization or death was 38.0% in the HTM group and 54.4% in the control group (p = 0.001); all-cause mortality was 26.1% in the HTM group and 30.0% in the control group (p = 0.172); CV mortality was 17.2% in the HTM group and in 25.3% in the control group (p = 0.031).
    Conclusions: In this analysis, HTM was associated with a lower incidence of (all-cause or CV) hospitalisation or death and CV mortality, but no statistically difference in all-cause mortality.
    Original languageEnglish
    Number of pages1
    Publication statusPublished - Aug 2013

      Fingerprint

    Keywords

    • home telemonitoring
    • heart failure
    • hospitalisation
    • mortality
    • case study

    Cite this