A qualitative study of patients' perceptions of the value of molecular diagnosis for familial hypercholesterolemia (FH).
Nina HallowellNicholas JenkinsMargaret DouglasSimon WalkerRobert FinnieMary PorteousJulia LawtonPublished in: Journal of community genetics (2016)
For many years, familial hypercholesterolemia (FH), an inherited disorder, has been diagnosed using phenotypic features plus family history of early onset cardiovascular disease (CVD), and has been successfully treated using statin therapy. DNA testing is now available and this has been incorporated into familial cascade screening programmes in many parts of Europe. Little is known about patients' perceptions of the value of undergoing molecular diagnosis for FH. In-depth interviews were carried out with patients (n = 38) being treated for FH who were the first in their family to undergo DNA testing for FH. Data were analysed thematically. While interviewees regarded DNA testing as an unexceptional event, it was seen as a positive innovation because it confirmed that their family carried a particular disorder, offered an aetiological explanation for their hypercholesterolemia and provided information about their own and family members' future risks. From the patient perspective, the main benefit of molecular diagnosis lies in its ability to provide information which allows (younger) family members to access genetic screening and, thus, timely treatment. The implications for future developments in genetic services and the need to investigate further the provision of molecular testing in mainstream specialties are briefly discussed.
Keyphrases
- end stage renal disease
- early onset
- cardiovascular disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- peritoneal dialysis
- primary care
- single molecule
- prognostic factors
- type diabetes
- late onset
- coronary artery disease
- dna methylation
- circulating tumor
- bone marrow
- mental health
- climate change
- mesenchymal stem cells
- electronic health record
- machine learning
- case report
- artificial intelligence
- cardiovascular events
- patient reported
- smoking cessation