How Can Implementation Science Improve the Care of Familial Hypercholesterolaemia?
Mitchell N SarkiesLaney K JonesJing PangDavid SullivanGerald F WattsPublished in: Current atherosclerosis reports (2023)
Gaps between evidence and practice, such as underutilization of genetic testing, family cascade testing, failure to achieve LDL-cholesterol goals and low levels of knowledge and awareness, have been identified through clinical registry analyses and clinician surveys. Implementation science theories, models and frameworks have been applied to assess barriers and enablers in the literature specific to local contextual factors (e.g. stages of life). The effect of implementation strategies to overcome these factors has been evaluated; for example, automated identification of individuals with FH or training and education to improve statin adherence. Clinical registries were identified as a key infrastructure to monitor, evaluate and sustain improvements in care. The expansion in evidence supporting the care of familial hypercholesterolaemia requires a similar expansion of efforts to translate new knowledge into clinical practice.
Keyphrases
- healthcare
- quality improvement
- primary care
- public health
- clinical practice
- palliative care
- systematic review
- low density lipoprotein
- machine learning
- early onset
- coronary artery disease
- deep learning
- high throughput
- cross sectional
- weight loss
- adipose tissue
- type diabetes
- affordable care act
- pain management
- skeletal muscle
- insulin resistance