PMID- 29608430 OWN - NLM STAT- Publisher LR - 20240227 IS - 1556-3669 (Electronic) IS - 1530-5627 (Linking) DP - 2018 Apr 2 TI - Mobile Technologies for Managing Heart Failure: A Systematic Review and Meta-analysis. LID - 10.1089/tmj.2017.0269 [doi] 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. FAU - Carbo, Anisleidy AU - Carbo A AD - 1 Division of Internal Medicine, GRECC, Veterans Affairs Medical Center , Miami, Florida. FAU - Gupta, Manish AU - Gupta M AD - 1 Division of Internal Medicine, GRECC, Veterans Affairs Medical Center , Miami, Florida. FAU - Tamariz, Leonardo AU - Tamariz L AD - 1 Division of Internal Medicine, GRECC, Veterans Affairs Medical Center , Miami, Florida. AD - 2 Division of Population Health and Computational Medicine, Miller School of Medicine, University of Miami , Miami, Florida. FAU - Palacio, Ana AU - Palacio A AD - 1 Division of Internal Medicine, GRECC, Veterans Affairs Medical Center , Miami, Florida. AD - 2 Division of Population Health and Computational Medicine, Miller School of Medicine, University of Miami , Miami, Florida. FAU - Levis, Silvina AU - Levis S AD - 1 Division of Internal Medicine, GRECC, Veterans Affairs Medical Center , Miami, Florida. FAU - Nemeth, Zsuzsanna AU - Nemeth Z AD - 3 Department of Health Informatics, Calder Memorial Library, Miller School of Medicine, University of Miami , Miami, Florida. FAU - Dang, Stuti AU - Dang S AD - 1 Division of Internal Medicine, GRECC, Veterans Affairs Medical Center , Miami, Florida. AD - 4 Division of Geriatrics and Palliative Care, Department of Internal Medicine, Miller School of Medicine, University of Miami, Miami, Florida. LA - eng PT - Journal Article DEP - 20180402 PL - United States TA - Telemed J E Health JT - Telemedicine journal and e-health : the official journal of the American Telemedicine Association JID - 100959949 OTO - NOTNLM OT - e-Health OT - m-Health OT - technology OT - telehealth OT - telemedicine EDAT- 2018/04/03 06:00 MHDA- 2018/04/03 06:00 CRDT- 2018/04/03 06:00 PHST- 2018/04/03 06:00 [pubmed] PHST- 2018/04/03 06:00 [medline] PHST- 2018/04/03 06:00 [entrez] AID - 10.1089/tmj.2017.0269 [doi] PST - aheadofprint SO - Telemed J E Health. 2018 Apr 2. doi: 10.1089/tmj.2017.0269.