2008
DOI: 10.1136/hrt.2006.107391
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Identifying patients with familial hypercholesterolaemia in primary care: an informatics-based approach in one primary care centre

Abstract: There are both diagnosed and undiagnosed cases of FH in primary care not known to secondary care. Significant potential exists to identify new cases of FH in primary care who could act as new index cases for a family screening programme.

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Cited by 67 publications
(47 citation statements)
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“…This process is consistent with previous studies on FH identification using both EHRs and manual review [20,22].…”
Section: Strengthssupporting
confidence: 91%
“…This process is consistent with previous studies on FH identification using both EHRs and manual review [20,22].…”
Section: Strengthssupporting
confidence: 91%
“…130,131 These approaches can include computer-based searches for potential cases. 132 When feasible, all patients with suspected FH should be referred to a specialist with expertise in FH for confirmation of the diagnosis. 2,114,125 Drawing of a pedigree (family tree) can be valuable in planning cascade screening in families.…”
Section: Screeningmentioning
confidence: 99%
“…Although FAMCAT is calibrated for the UK population, the methodology and implementation pathway are transferable to other populations with health systems using electronic health records. Previous attempts to develop a primary care electronic search strategy in one primary care centre [31] did not achieve the necessary sensitivity and specificity. With the advantage of large numbers of diagnosed FH patients in our study, we have developed an electronic search algorithm that has achieved high levels of sensitivity and specificity for routine use at the population-level.…”
Section: Strengths and Limitationsmentioning
confidence: 97%