Developing a national implementation strategy for enhancing the detection of familial hypercholesterolemia: An Australian experience

Mitchell Sarkies, David Sullivan, Andrew Black, Philip Aylward, Karam Kostner, Stephen J. Nicholls, Ari Horton, Walter P. Abhayaratna, Nadarajah Kangaharan, Jing Pang, Warrick Bishop, Luke Elias, Shubha Srinivasan, Kathryn E. Waddell-Smith, Jenny Della-Vedova, Charlotte Hespe, Jane Tiller, Jeffrey Braithwaite, Karen Birkenhead, Gerald F. Watts

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Abstract

BACKGROUND: Familial hypercholesterolemia (FH) is a common and treatable inherited condition of cholesterol metabolism that increases cardiovascular health risk. Less than 10% of people with FH have been detected and few receive recommended treatment. 

OBJECTIVE: We report on the development of a national implementation strategy for enhancing the detection of FH in Australia. METHODS: A modified intervention mapping study was conducted, through workshops to identify barriers and facilitators of FH detection, models for detection and their objectives. Practical implementation strategies were selected using a constructivist analysis and summaries of the strategies were disseminated for feedback. A case study showcase was used to monitor strategy implementation.

RESULTS: Potential models for FH detection were identified, including (1) use of pathology lab reports and recall; (2) screening in general practice, pharmacy, and Aboriginal Community Controlled Health Organizations; (3) screening in cardiovascular inpatients, outpatients, and rehabilitation; (4) universal screening; and (5) centralized coordination of primary-tertiary shared care. Implementation strategies were selected for each model to support their operationalization into routine care. A list of general implementation strategies was also produced that could support multiple models for FH detection.

CONCLUSION: We identified multiple FH detection models and strategies that would support implementation across Australia. Centralized coordination of a primary-tertiary shared care model was described as a promising approach for integrating index case detection with family cascade testing. We provide a set of implementation recommendations for policy and practice to enhance the detection of FH in Australia.

Original languageEnglish
Pages (from-to)582-594
Number of pages13
JournalJournal of Clinical Lipidology
Volume19
Issue number3
DOIs
Publication statusPublished - 1 May 2025

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© 2025

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