Adam D DeVore, Mary Norine Walsh, Orly Vardeny, Nancy M Albert, Akshay S Desai
{"title":"Digital Solutions for the Optimization of Pharmacologic Therapy for Heart Failure.","authors":"Adam D DeVore, Mary Norine Walsh, Orly Vardeny, Nancy M Albert, Akshay S Desai","doi":"10.1016/j.jchf.2024.10.014","DOIUrl":null,"url":null,"abstract":"<p><p>Data from large-scale, randomized, controlled trials demonstrate that contemporary treatments for heart failure (HF) can substantially improve morbidity and mortality. Despite this, observed outcomes for patients living with HF are poor, and they have not improved over time. The are many potential reasons for this important problem, but inadequate use of optimal medical therapy for patients with HF, an important component of guideline-directed medical therapy, in routine practice is a principal and modifiable contributor. In this state-of-the-art review, we focus on digital interventions that specifically target the rapid initiation and titration of medical therapy for HF, typically not involving face-to-face encounters. Early data suggest that digital interventions that use data collected outside of structured episodes of care can facilitate initiation and titration of guideline-directed medical therapy for patients with HF. More data are necessary, however, to understand the safety and efficacy of these interventions compared with current care models. In addition, specific efforts by key constituents are necessary to generate sufficient data on the effectiveness and sustainability of digital interventions in routine practice and to ensure that they do not exacerbate existing disparities in care.</p>","PeriodicalId":14687,"journal":{"name":"JACC. Heart failure","volume":" ","pages":""},"PeriodicalIF":10.3000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JACC. Heart failure","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jchf.2024.10.014","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Data from large-scale, randomized, controlled trials demonstrate that contemporary treatments for heart failure (HF) can substantially improve morbidity and mortality. Despite this, observed outcomes for patients living with HF are poor, and they have not improved over time. The are many potential reasons for this important problem, but inadequate use of optimal medical therapy for patients with HF, an important component of guideline-directed medical therapy, in routine practice is a principal and modifiable contributor. In this state-of-the-art review, we focus on digital interventions that specifically target the rapid initiation and titration of medical therapy for HF, typically not involving face-to-face encounters. Early data suggest that digital interventions that use data collected outside of structured episodes of care can facilitate initiation and titration of guideline-directed medical therapy for patients with HF. More data are necessary, however, to understand the safety and efficacy of these interventions compared with current care models. In addition, specific efforts by key constituents are necessary to generate sufficient data on the effectiveness and sustainability of digital interventions in routine practice and to ensure that they do not exacerbate existing disparities in care.
期刊介绍:
JACC: Heart Failure publishes crucial findings on the pathophysiology, diagnosis, treatment, and care of heart failure patients. The goal is to enhance understanding through timely scientific communication on disease, clinical trials, outcomes, and therapeutic advances. The Journal fosters interdisciplinary connections with neuroscience, pulmonary medicine, nephrology, electrophysiology, and surgery related to heart failure. It also covers articles on pharmacogenetics, biomarkers, and metabolomics.