Impact of lowering the risk threshold for statin treatment on statin prescribing: a descriptive study in English primary care.
BACKGROUND: In 2014, the National Institute for Health and Care Excellence (NICE) changed the recommended threshold for initiating statins from a 10-year risk of cardiovascular disease (CVD) of 20% to 10% (Clinical Guideline 181), making 4.5 million extra people eligible for treatment.
AIM: To evaluate the impact of this guideline change on statin prescribing behaviour.
DESIGN AND SETTING: A descriptive study using data from Clinical Practice Research Datalink (CPRD), a primary care database in England.
METHOD: People aged 25-84 years being initiated on statins for the primary prevention of CVD were identified. CVD risk predictions were calculated for every person using data in their medical record (calculated risks), and were extracted directly from their medical record if a QRISK score was recorded (coded risks). The 10-year CVD risks of people initiated on statins in each calendar year were compared.
RESULTS: The average 'calculated risk' of all people being initiated on statins was 20.65% in the year before the guideline change, and 20.27% after. When considering only the 'coded risks', the average risk was 21.85% before the guideline change, and 18.65% after. The proportion of people initiating statins that had a coded risk score in their medical record increased significantly from 2010-2017.
CONCLUSION: Currently available evidence, which only considers people with coded risk scores in their medical record, indicates the guideline change had a large impact on statin prescribing. However, that analysis likely suffers from selection bias. This new evidence indicates only a modest impact of the guideline change. Further qualitative research about the lack of response to the guideline change is needed.
|ジャーナル名||The British journal of general practice : the journal of the Royal College of General Practitioners|
|投稿者||Pate, Alexander; Emsley, Richard; van Staa, Tjeerd|
|組織名||Centre for Health Informatics, University of Manchester, Manchester.;Department of Biostatistics and Health Informatics, King's College London,;London.|