Health Decision Sciences Center, Massachusetts General Hospital, Boston, USA.
Informed Medical Decisions Program, Massachusetts General Hospital, Boston, MA, USA.
J Gen Intern Med. 2023 Jan;38(1):36-41. doi: 10.1007/s11606-022-07440-5. Epub 2022 Mar 1.
Guidelines suggest clinicians inform patients about their 10-year cardiovascular disease (CVD) risk; however, little is known about how the risk estimate influences patients' preferences for statin therapy for primary prevention.
To define predictors of preference for statin therapy after participants were informed about their individualized benefits and harms.
Cross-sectional survey in 2020.
Online US survey panel.
A national sample of 304 respondents aged 40 to 75 who had not previously taken a statin and who knew their cholesterol levels and blood pressure measurements.
Participants entered their risk factors into a calculator which estimated their 10-year CVD risk. They were then provided with an estimate of their absolute risk reduction with a statin and the chance of side effects from meta-analyses.
We used a hierarchical model to predict participants' preferences for statin therapy according to their 10-year CVD risk, perceptions of the magnitude of statin benefit (large, medium, small, or almost no benefit), worry about side effects (very worried, somewhat worried, a little worried, not worried at all), and other variables.
Participants had a mean age of 55 years (SD = 9.9); 50% were female, 44% were non-white, and 16% had a high school degree or less education. After reviewing their benefits and side effects, 45% of the participants reported they probably or definitely wanted to take a statin. In the full hierarchical model, only perceived benefits of taking a statin was a significant independent predictor of wanting a statin (OR 7.3, 95% CI 4.7, 12.2).
Participants were from an internet survey panel and making hypothetical decisions.
Participants' perceptions of their benefit from statin therapy predicted wanting to take a statin for primary prevention; neither estimated CVD risk nor worries about statin side effects were independent predictors.
指南建议临床医生向患者告知其 10 年心血管疾病(CVD)风险;然而,对于风险估计如何影响患者对他汀类药物用于一级预防的治疗偏好,知之甚少。
在告知参与者其个体化获益和危害后,确定他汀类药物治疗偏好的预测因素。
2020 年的横断面调查。
在线美国调查小组。
一个由 304 名年龄在 40 至 75 岁之间、从未服用过他汀类药物且了解自己胆固醇水平和血压测量值的未参与过他汀类药物治疗的全国性样本。
参与者将其风险因素输入计算器,该计算器估算其 10 年 CVD 风险。然后,他们根据他汀类药物的绝对风险降低和来自荟萃分析的副作用发生机会获得风险估计。
我们使用层次模型根据参与者的 10 年 CVD 风险、对他汀类药物获益的感知(大、中、小或几乎没有获益)、对副作用的担忧(非常担心、有些担心、有点担心、一点也不担心)以及其他变量来预测参与者对他汀类药物治疗的偏好。
参与者的平均年龄为 55 岁(SD=9.9);50%为女性,44%为非白人,16%具有高中学历或以下学历。在查看了他们的获益和副作用后,45%的参与者表示他们可能或肯定会服用他汀类药物。在完整的层次模型中,只有服用他汀类药物的感知获益是想要服用他汀类药物的重要独立预测因素(OR 7.3,95%CI 4.7,12.2)。
参与者来自互联网调查小组,做出的是假设性决策。
参与者对他汀类药物治疗获益的感知预测了他们想要服用他汀类药物进行一级预防;估计的 CVD 风险和对他汀类药物副作用的担忧都不是独立的预测因素。