A meta-analysis of remote patient monitoring for chronic heart failure patients

Naoto Nakamura*, Tadashi Koga, Hiroshi Iseki

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

73 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)11-17
Number of pages7
JournalJournal of Telemedicine and Telecare
Volume20
Issue number1
DOIs
Publication statusPublished - 2014 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Health Informatics

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