ISEKI Hiroshi    Department   Research Institutes and Facilities, Research Institutes and Facilities    Position
Article types	Original article
Language	English
Peer review	Peer reviewed
Title	A meta-analysis of remote patient monitoring for chronic heart failure patients
Journal	Formal name：Journal of telemedicine and telecare Abbreviation：J Telemed Telecare ISSN code：1357633X
Volume, Issue, Page	20(1),pp.11-17
Author and coauthor	NAKAMURA Naoto†,*, KOGA Tadashi, ISEKI Hiroshi
Authorship	Last author
Publication date	2014/01
Summary	Summary We carried out a meta analysis of remote patient monitoring (RPM) for chronic heart failure (CHF) patients. A literature search was used to identify randomised controlled trials with more than 40 patients, published between February 2003 and February 2013. The primary outcome (mortality) was analysed using a random effect model. Thirteen studies were included (3337 patients). RPM resulted in a significantly lower mortality (risk ratio 0.76; 95% confidence interval 0.62 to 0.93) compared to usual care. The test for heterogeneity showed that articles had been extracted homogeneously (I2=0%, P=0.67). In order to determine which RPM model was most effective, subgroup analyses were conducted by age, severity of illness, measurement frequency, medication management and speed of intervention. The group with rapid intervention had the lowest mortality (rapid group risk ratio=0.59, non-rapid group risk ratio=0.88, P=0.05). The group with high measurement frequency had lower mortality (high frequency group risk ratio=0.62, low frequency group risk ratio=0.89, P=0.07). The group with medication management had lower mortality (medication group risk ratio=0.65, non medication group risk ratio=0.85, P=0.19). RPM is effective in chronic heart failure and rapid intervention was the most important factor in the RPM model.
DOI	10.1177/1357633X13517352