TY - JOUR
T1 - Mobile technologies for managing heart failure
T2 - A systematic review and meta-analysis
AU - Carbo, Anisleidy
AU - Gupta, Manish
AU - Tamariz, Leonardo
AU - Palacio, Ana
AU - Levis, Silvina
AU - Nemeth, Zsuzsanna
AU - Dang, Stuti
N1 - Funding Information:
This project was supported in part by the Miami VA Geriatric Research, Education, and Clinical Center (GRECC), Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, FL, Miami VA Research Service, and University of Miami, Department of Population Health.
Publisher Copyright:
© Copyright 2018, Mary Ann Liebert, Inc., publishers 2018.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/12
Y1 - 2018/12
N2 - Background: Randomized clinical trials (RCTs) conducted among heart failure (HF) patients have reported that mobile technologies can improve HF-related outcomes. Our aim was to conduct a meta-analysis to evaluate m-Health's impact on healthcare services utilization, mortality, and cost. Methods: We searched MEDLINE, Cochrane, CINAHL, and EMBASE for studies published between 1966 and May-2017. We included studies that compared the use of m-Health in HF patients to usual care. m-Health is defined as the use of mobile computing and communication technologies to record and transmit data. The outcomes were HF-related and all-cause hospital days, cost, admissions, and mortality. Results: Our search strategy resulted in 1,494 articles. We included 10 RCTs and 1 quasi-experimental study, which represented 3,109 patients in North America and Europe. Patient average age range was 53-80 years, New York Heart Association (NYHA) class III, and Left Ventricular Ejection Fraction <50%. Patients were mostly monitored daily and followed for an average of 6 months. A reduction was seen in HF-related hospital days. Nonsignificant reductions were seen in HF-related cost, admissions, and mortality and total mortality. We found no significant differences for all-cause hospital days and admissions, and an increase in total cost. Conclusions: m-Health reduced HF-related hospital days, showed reduction trends in total mortality and HF-related admissions, mortality and cost, and increased total costs related to more clinic visits and implementation of new technologies. More studies reporting consistent quality outcomes are warranted to give conclusive information about the effectiveness and cost-effectiveness of m-Health interventions for HF.
AB - Background: Randomized clinical trials (RCTs) conducted among heart failure (HF) patients have reported that mobile technologies can improve HF-related outcomes. Our aim was to conduct a meta-analysis to evaluate m-Health's impact on healthcare services utilization, mortality, and cost. Methods: We searched MEDLINE, Cochrane, CINAHL, and EMBASE for studies published between 1966 and May-2017. We included studies that compared the use of m-Health in HF patients to usual care. m-Health is defined as the use of mobile computing and communication technologies to record and transmit data. The outcomes were HF-related and all-cause hospital days, cost, admissions, and mortality. Results: Our search strategy resulted in 1,494 articles. We included 10 RCTs and 1 quasi-experimental study, which represented 3,109 patients in North America and Europe. Patient average age range was 53-80 years, New York Heart Association (NYHA) class III, and Left Ventricular Ejection Fraction <50%. Patients were mostly monitored daily and followed for an average of 6 months. A reduction was seen in HF-related hospital days. Nonsignificant reductions were seen in HF-related cost, admissions, and mortality and total mortality. We found no significant differences for all-cause hospital days and admissions, and an increase in total cost. Conclusions: m-Health reduced HF-related hospital days, showed reduction trends in total mortality and HF-related admissions, mortality and cost, and increased total costs related to more clinic visits and implementation of new technologies. More studies reporting consistent quality outcomes are warranted to give conclusive information about the effectiveness and cost-effectiveness of m-Health interventions for HF.
KW - E-Health
KW - M-Health
KW - Technology
KW - Telehealth
KW - Telemedicine
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U2 - 10.1089/tmj.2017.0269
DO - 10.1089/tmj.2017.0269
M3 - Article
AN - SCOPUS:85052897275
VL - 24
SP - 958
EP - 968
JO - Telemedicine and e-Health
JF - Telemedicine and e-Health
SN - 1530-5627
IS - 12
ER -