Analyzing online forums to identify information needs and knowledge gaps in patients with left ventricular assist devices: a qualitative study.
Nasra AbdelhadiStav KleinMoni ShaharSemyon MelnikovPublished in: European journal of cardiovascular nursing (2024)
The analysis of social media data from MyLVAD.com reveals significant unmet informational needs among LVAD candidates, patients, and their support networks. Unlike traditional data, this social media-based research provides an unbiased view of patient conversations, offering valuable insights into their real-world concerns and knowledge gaps. The findings underscore the importance of tailored educational resources to address these unmet needs, potentially enhancing LVAD patient care.
Keyphrases
- social media
- health information
- left ventricular
- end stage renal disease
- healthcare
- electronic health record
- ejection fraction
- chronic kidney disease
- newly diagnosed
- big data
- heart failure
- prognostic factors
- case report
- acute myocardial infarction
- machine learning
- aortic stenosis
- hypertrophic cardiomyopathy
- mitral valve