A Randomized Clinical Trial of the Clinical Effects of Enhanced Heart Failure Monitoring Using a Computer-Based Telephonic Monitoring System in Older Minorities and Women

Soran, Özlem; Piña, Ileana L.; Lamas, Gervasio A.; Kelsey, Sheryl F.; Selzer, Faith; Pilotte, John; Lave, Judith R.; Feldman, Arthur M.

doi:10.1016/j.cardfail.2008.06.448

Cited by 76 publications

(70 citation statements)

References 24 publications

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“…Thirteen relevant articles [11][12][13][14][15][16][17][18][19][20][21][22][23] were identified (Table 1, Figure 1). There was a total of 1741 patients in the intervention groups and 1596 patients in the control groups.…”

Section: Resultsmentioning

confidence: 99%

“…To identify the efficacy of RPM in relation to the severity of illness, a sub-group analysis was performed by dividing the studies into groups of patients with higher symptom severity (570% of patients were NYHA class III or IV) 13,15,16,[19][20][21][22] and lower symptom severity (<70% of patients were NYHA class III or IV). [10][11][12]14,17,18 The risk ratio was 0.63 in patients with higher symptom severity and 0.86 in patients with lower symptom severity.…”

Section: Discussionmentioning

confidence: 99%

“…To identify the efficacy of RPM in relation to the frequency of measurement of patients' vital signs, a sub-group analysis was performed by dividing the studies into those with a high measurement frequency (more than twice a week) 11,13,15,16,18,19,21,22 and a low measurement frequency (4once a week). 10,12,14,17,20 The risk ratio was 0.62 in studies with a high measurement frequency and 0.89 in studies with a low measurement frequency.…”

Section: Discussionmentioning

confidence: 99%

“…To identify the efficacy of RPM in relation to active dose adjustment in response to a change in the patient's vital signs, a sub-group analysis was performed by dividing the studies into those that vital signs and intervention, a sub-group analysis was performed by dividing the studies into a rapid group (intervention performed within one day of a change in the patient's vital signs) 13,15,16,18,20,22 and a non-rapid group (intervention performed later than 1 day of a change in the patient's vital signs). 10,11,12,14,17,19,21 The risk ratio was 0.59 in the rapid group and 0.88 in non-rapid group.…”

Section: Discussionmentioning

confidence: 99%

“…For example some studies used the DayLink Monitor (Alere) 13,15 and some used systems by Philips. 18 The patients and healthcare practitioners communicated using dedicated devices, mobile phones, PCs or by videoconference.…”

Section: Interventionmentioning

confidence: 99%

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

2013

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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 (I(2)=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.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Interventionmentioning

confidence: 99%

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

2013

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Association of Adherence to Weight Telemonitoring With Health Care Use and Death

et al. 2020

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Key Points Question Is adherence to weight telemonitoring associated with health care use and death for patients with heart failure? Findings This post hoc secondary analysis of a randomized clinical trial that included 538 participants found that an increase in weight telemonitoring adherence in a given week was associated with a significant decrease in the risk of subsequent hospitalization or death in the following week. Adherence was not associated with emergency department visits. Meaning Adherence to telemonitoring may be associated with risk of hospitalization and death for patients with heart failure.

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