Remote Weight Monitoring for Congestive Heart Failure Patients: A Literature Review

Discuss limitations, controversies, and similarities/differences of the studies. Areas of Further Study: Analyze the evidence presented in your articles to identify what is known, unknown, and requires further study. ?

In congestive heart failure population (P) how does remote weight monitoring (I), compared to patient self-weight monitoring and reporting reduce the incidence of heart failure exacerbation in a time period of 12 months (T)? 

The review will be based on this picot statement. In this assignment, you will formalize your PICOT and research process. Use the GCU Library to perform a search for peer-reviewed research articles. Find five peer-reviewed primary source translational research articles. In a paper of  synthesize the research into a literature review. The literature review should provide an overview for the reader that illustrates the research related to your particular PICOT. Include the following:

Describe the clinical issue or problem you are addressing. Methods Describe the criteria you used in choosing your articles Synthesize the Literature

Discuss the main components of each article (subjects, methods, key findings) and provide rationale for how this supports your PICOT;

Compare and contrast the articles You are required to cite five to 10 sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content. RUBRIC introduction is thoroughly developed with supporting details. A comprehensive discussion of methods, including criteria used to select the articles, is thoroughly developed with supporting details. A comprehensive discussion of the main components of each article, including subjects, methods, key findings, and rationale for how the article supports the PICOT statement, is thoroughly developed with supporting details.

A comprehensive discussion of the limitations, controversies, similarities, and differences of the studies is thoroughly developed with supporting details. A comprehensive analysis of evidence in the articles to identify what is known, unknown, and needed for further study is thoroughly developed with supporting details. Number of required resources is met. Sources are current, and appropriate for the assignment criteria and nursing content. Thesis is comprehensive and contains the essence of the paper. Thesis statement makes the purpose of the paper clear. Clear and convincing argument that presents a persuasive claim in a distinctive and compelling manner. All sources are authoritative.

According to the American Heart Association HF is a chronic disease affecting about 6 million people with almost one million hospitalizations every year in the United States. Given its high hospitalization rate among adults over 65, its excessive costs and it has become of the great burdens on the healthcare system. According to the AHA 2016 Heart Disease and Stroke Statistics, as much as patient education on weight monitoring mitigates the problem, research has shown that only 30% of patients retain instruction or adhere to self-weight-monitoring post discharge. This necessitates the need to have remote self-monitoring to monitor patients weight. (Ziaeian & Fonarow, 2016).

Apart from adherence to medication regimen, low sodium diet, and regular exercises, self-weight monitoring is one of the most essential factors in heart failure (HF) management programs aimed at reducing hospitalizations and improving outcomes among HF patients. Rooted in Dorothea Orem’s self-care theory, self-monitoring of weight offers individuals pointer to progressing exacerbation and self-care goal accomplishment. Poor adherence to these recommendations contribute to increased hospitalizations, cost, lower quality of life, morbidity, and mortality (Savarese & Lund, 2017) because of low adherence to weight monitoring. 

Epidemiology of HF risks suggests sharp increase with age, hypertension, obesity, and coronary artery disease more prevalent among poorer African American populations. To stem this trend, genetic analysis and testing can improve survival, reduce morbidity, and enhance quality of life through genetic analysis of family history; phenotype assessment of at-risk family members and genetic counseling. (Hershberger et al, 2018). 

Nursing science involves implementing collaborative roles to contribute to optimal clinical outcomes in HF population to achieve and maintain patient clinical stability irrespective of social determinants of health (SDOH) in and out of the hospital setting.