scholarly journals Factors Influencing Utilization of the Primary Prevention Implantable Defibrillator

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0121515 ◽  
Author(s):  
Lin Zhang ◽  
Kumar Narayanan ◽  
Harpriya Chugh ◽  
Takahiro Shiota ◽  
Zhi-Jie Zheng ◽  
...  
2017 ◽  
Vol 28 (11) ◽  
pp. 1334-1341 ◽  
Author(s):  
Rochelle Bernier ◽  
Satish R. Raj ◽  
Dat Tran ◽  
Lucy Reyes ◽  
Michel Sauve ◽  
...  

Circulation ◽  
2001 ◽  
Vol 104 (13) ◽  
pp. 1564-1570 ◽  
Author(s):  
Derek V. Exner ◽  
George J. Klein ◽  
Eric N. Prystowsky

2020 ◽  
pp. bjgp20X714065
Author(s):  
Samuel Finnikin ◽  
Brian H Willis ◽  
Ronan Ryan ◽  
Tim Evans ◽  
Tom Marshall

Abstract Background: Initiation of statins for the primary prevention of cardiovascular disease (CVD) should be based on CVD risk estimates but their use is sub-optimal. Aim: To investigate the factors influencing statin prescribing when clinicians code and do not code estimated CVD risk (QRISK2). Design and setting: A historical cohort of patients who had lipid tests in a database of UK primary care records (IMRD). Methods: The cohort comprised 686,560 entries (lipid test results) between 2012 and 2016 from 383,416 statin naïve patients, without previous CVD. Coded QRISK2 estimates were extracted, with variables used in calculating QRISK2 and factors that might influence statin prescribing. If QRISK2 was not coded, it was calculated post-hoc. The outcome was initiation of a statin within 60 days of the lipid test result. Results: 21.4% of entries had a coded QRISK2 score. Statins were initiated in 6.6% (6.4%-6.7%) of those with coded and 4.1% (4.0%-4.1%) of un-coded QRISK2 (p<0.001). Statin initiations were consistent with NICE guideline recommendations in 85.0% (84.2%-85.8%) of coded and 44.2% (43.5%-44.9%) of un-coded QRISK2 groups (P<0.001). When coded, QRISK2 score was the main predictor of statin initiation, but total cholesterol was the main predictor when QRISK2 was not coded. Conclusions: When QRISK2 is coded, prescribing is more consistent with guidelines. With no QRISK2 code, prescribing is mainly based on total cholesterol. Using QRISK2 is associated with statin prescribing that is more likely to benefit patients. Promoting the routine CVD risk estimation is essential to optimise decision making.


Author(s):  
Gabriella M. McLoughlin ◽  
Eric M. Wiedenman ◽  
Sarah Gehlert ◽  
Ross C. Brownson

Although innovative and impactful interventions are necessary for the primary prevention of breast cancer, the factors influencing program adoption, implementation, and sustainment are key, yet remain poorly understood. Insufficient attention has been paid to the primary prevention of breast cancer in state and national cancer plans, limiting the impact of evidence-based interventions on population health. This commentary highlights the state of primary prevention of breast cancer and gaps in the current literature. As a way to enhance the reach and adoption of cancer prevention policies and programs, the utility of dissemination and implementation (D&I) science is highlighted. Examples of how D&I could be applied to study policies and programs for chronic disease prevention are described, in addition to needs for future research. Through application of D&I science and a strong focus on health equity, a clearer understanding of contextual factors influencing the success of prevention programs will be achieved, ultimately impacting population health.


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