Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

60
Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
60
Heart Failure VII: Nursing Interventions01:30

Heart Failure VII: Nursing Interventions

205
The first step in nursing management of a patient with heart failure involves thoroughly assessing the patient's medical history.Subjective Data: Obtain the patient's medical history of coronary artery disease, hypertension, myocardial infarction, and symptoms like dyspnea, orthopnea, and paroxysmal nocturnal dyspnea.Objective Data: Conduct a physical examination to identify findings such as jugular vein distention, pulmonary crackles, tachycardia, murmurs, peripheral edema, and vital signs,...
205
Mitral Regurgitation IV: Nursing Management01:28

Mitral Regurgitation IV: Nursing Management

149
Mitral regurgitation (MR) is a condition where the mitral valve does not close properly, leading to the backward flow of blood from the left ventricle into the left atrium during systole. This condition can arise from various causes, including rheumatic fever, infective endocarditis, or degenerative valve disease. Effective nursing management is crucial to optimizing patient outcomes and involves comprehensive assessment and targeted interventions.Comprehensive Patient AssessmentA detailed...
149
Heart Failure VI: Adjunct Therapies01:22

Heart Failure VI: Adjunct Therapies

68
Additional therapies for treating patients with heart failure (HF) may include procedural interventions, supplemental oxygen, the management of sleep disorders, and nutritional therapy.Procedural InterventionsImplantable Cardioverter-Defibrillator: For patients at risk of life-threatening arrhythmias due to severe left ventricular dysfunction, an Implantable Cardioverter-Defibrillator (ICD) can detect and terminate these arrhythmias, preventing sudden cardiac death and improving survival rates.
68
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

92
Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
92
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System01:26

Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

627
The activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS) contributes to cardiac remodeling, and inhibiting the RAAS is a pharmacological target in heart failure management. As a result, neurohumoral modulation is a crucial treatment principle for managing heart failure. This approach involves using medications like ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, mineralocorticoid receptor antagonists (MRAs), and neutral...
627

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

To explore or not: machine learning models for intraoperative decision on testicular exploration in infants under 3 months with incarcerated inguinal hernia.

BMC surgery·2026
Same author

Ergothioneine: An updated review on preparation strategies, biological activity and mechanisms, health and functional applications.

Food chemistry·2026
Same author

Role of TRPA1 channel activation in exacerbating allergic airway inflammation mediated by 4-Nitrodiphenylamine.

Chemico-biological interactions·2026
Same author

Limited Enzymatic Hydrolysis Pea Protein Isolate-Chitosan Nanoparticles as Emulsifier for Pickering Emulsions: Structural Change, Physicochemical Properties, and Encapsulation for Astaxanthin.

Journal of food science·2026
Same author

Development and validation of an explainable machine learning model for predicting surgical intervention in pediatric intestinal obstruction.

European journal of pediatrics·2026
Same author

Efficacy of Low-Dose Rituximab as Preemptive Treatment of EBV DNA-emia After Allogeneic Hematopoietic Stem Cell Transplantation.

Transplantation and cellular therapy·2026

Related Experiment Video

Updated: Oct 31, 2025

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

968

Self-management on heart failure: A meta-analysis.

Xianghong Meng1, Yuping Wang1, Xiaowen Tang1

  • 1Department of Cardiology, Shanghai Pudong Hospital, Fudan University, 2800 Gongwei Road, Shanghai, 201399, China.

Diabetes & Metabolic Syndrome
|June 29, 2021
PubMed
Summary

Self-management interventions significantly improve heart failure (HF) patient outcomes, enhancing knowledge, attitude, and practice. This meta-analysis confirms the benefits of self-management for patients with HF.

Keywords:
Heart failureKAPMeta-analysisSelf-management

More Related Videos

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.7K
Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

332

Related Experiment Videos

Last Updated: Oct 31, 2025

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

968
Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.7K
Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

332

Area of Science:

  • Cardiology
  • Public Health
  • Health Sciences

Background:

  • Heart failure (HF) presents a significant global public health challenge.
  • Self-management strategies are recognized for their potential to enhance patient self-care abilities in chronic conditions.
  • The precise impact of self-management on heart failure patient outcomes requires further elucidation.

Purpose of the Study:

  • To systematically evaluate the effectiveness of self-management interventions in patients with heart failure.
  • To synthesize evidence from existing research on the role of self-management in improving heart failure care.

Main Methods:

  • A comprehensive literature search was conducted across PubMed, Embase, Cochrane, and China National Knowledge Database through March 2020.
  • Meta-analysis, sensitivity analysis, and bias analysis were performed using Review Manager (version 5.2).
  • Random-effects or fixed-effects models were employed to calculate average 95% confidence intervals (CIs).

Main Results:

  • Eight studies involving 1707 heart failure patients were included.
  • Meta-analysis revealed significant improvements in Self-management (SM) groups for the Dutch Heart Failure Knowledge Scale (DHFK), Self-Care of Heart Failure Index (SCHFI), and Self-Efficacy for Managing Chronic Disease Scale (SEMCDI) compared to control groups.
  • Attrition bias and reporting bias were identified, but sensitivity analysis confirmed the stability of the findings.

Conclusions:

  • Self-management interventions are associated with significant positive outcomes in heart failure patients.
  • These improvements encompass key areas of knowledge, attitude, and practice (KAP) related to heart failure management.
  • The findings support the integration of self-management programs into routine care for individuals with heart failure.