イセキ ヒロシ
Iseki Hiroshi
伊関 洋 所属 医学研究科 医学研究科 (医学部医学科をご参照ください) 職種 特任顧問 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読あり |
表題 | A meta-analysis of remote patient monitoring for chronic heart failure patients |
掲載誌名 | 正式名:Journal of telemedicine and telecare 略 称:J Telemed Telecare ISSNコード:1357633X |
巻・号・頁 | 20(1),pp.11-17 |
著者・共著者 | NAKAMURA Naoto†,*, KOGA Tadashi, ISEKI Hiroshi |
担当区分 | 最終著者 |
発行年月 | 2014/01 |
概要 | 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 |