ArticleBMC public health2025
Knowledge, attitudes, and practices regarding heart failure among Chinese patients: a cross-sectional study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Knowledge, attitudes, and practices regarding premature ventricular contractions among patients: a cross-sectional study.Frontiers in public health · 2026Article
- Recognition of worsening heart failure symptoms, help-seeking attitudes, and time-to-presentation in chronic heart failure: a single-center KAP study in China.Frontiers in cardiovascular medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding patients’ knowledge, attitudes, and practices is essential for effective heart failure (HF) management, as these factors significantly influence self-care behaviors, treatment adherence, and clinical outcomes. This study aimed to investigate the knowledge, attitudes, and practices (KAP) of patients with heart failure.
methodsA web-based cross-sectional study was conducted from April to May 2023 among 483 heart failure patients recruited through convenience sampling. Inclusion criteria encompassed a confirmed HF diagnosis and the ability to independently use mobile devices. The research employed a self-administered questionnaire, validated through expert review and pilot testing, to assess knowledge, attitudes, and practices. The overall reliability was robust (Cronbach’s α = 0.875), with subscale alphas of 0.819 for knowledge, 0.582 for attitudes, and 0.846 for practices.
resultsThe findings from 483 HF patients revealed limited knowledge (mean score: 10.75 out of 20), moderately negative attitudes (mean score: 22.93 out of 40), and relatively proactive practices (mean score: 32.21 out of 45). Higher knowledge levels and having mid-range ejection fraction emerged as significant predictors of proactive health behaviors (all P < 0.05). Structural equation modeling further demonstrated that education and marital status positively influenced knowledge, while attitudes unexpectedly showed a negative association with practices (all P < 0.05).
conclusionThis study highlights critical gaps in knowledge and attitudes among HF patients, despite some proactive practices. By leveraging a web-based platform, this research contributes to the growing literature on digital health approaches in chronic disease management, suggesting that scalable, technology-enabled education and support strategies should be integrated into HF care. Additionally, this study provides novel insights into the unexpected negative relationship between attitudes and practices, underscoring the complexity of behavioral change in HF management. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.