Objective
Expressing therapy benefit from a lifetime perspective, instead of only a 10-year perspective, is both more intuitive and of growing importance in doctor–patient communication. In cardiovascular disease (CVD) prevention, lifetime estimates are increasingly accessible via online decision tools. However, it is unclear what gain in life expectancy is considered meaningful by those who would use the estimates in clinical practice. We therefore quantified lifetime and 10-year benefit thresholds at which physicians and patients perceive statin and antihypertensive therapy as meaningful, and compared the thresholds with clinically attainable benefit.
DesignCross-sectional study.
Settings(1) continuing medical education conference in December 2016 for primary care physicians;(2) information session in April 2017 for patients.
Participants400 primary care physicians and 523 patients in the Netherlands.
OutcomeMonths gain of CVD-free life expectancy at which lifelong statin therapy is perceived as meaningful, and months gain at which 10 years of statin and antihypertensive therapy is perceived as meaningful. Physicians were framed as users for lifelong and prescribers for 10-year therapy.
ResultsMeaningful benefit was reported as median (IQR). Meaningful lifetime statin benefit was 24 months (IQR 23–36) in physicians (as users) and 42 months (IQR 12–42) in patients willing to consider therapy. Meaningful 10-year statin benefit was 12 months (IQR 10–12) for prescribing (physicians) and 14 months (IQR 10–14) for using (patients). Meaningful 10-year antihypertensive benefit was 12 months (IQR 8–12) for prescribing (physicians) and 14 months (IQR 10–14) for using (patients). Women desired greater benefit than men. Age, CVD status and co-medication had minimal effects on outcomes.
ConclusionBoth physicians and patients report a large variation in meaningful longevity benefit. Desired benefit differs between physicians and patients and exceeds what is clinically attainable. Clinicians should recognise these discrepancies when prescribing therapy and implement individualised medicine and shared decision-making. Decision tools could provide information on realistic therapy benefit.
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