Sussman Jeremy B, Schell Greggory J, Lavieri Mariel S, Hayward Rodney A
from the Center for Clinical Management Research, Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan (JBS, RAH).
Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan (JBS, RAH).
MDM Policy Pract. 2017 Dec 22;2(2):2381468317735306. doi: 10.1177/2381468317735306. eCollection 2017 Jul-Dec.
Clinical decisions require weighing possible risks and benefits, which are often based on the provider's sense of treatment burden. Patients often have a different view of how heavily treatment burden should be weighted. To examine how much small variations in patient treatment burden would influence optimal use of antihypertensive medications and how much over- and undertreatment can result from clinicians misunderstanding their patients' values. Analysis-Markov chain model. Data sources-Existing literature, including an individual-level meta-analysis of blood pressure trials. Target population-US representative sample, ages 40 to 85, no history of cardiovascular disease. Time horizon-Effect of 10 years of treatment on estimated lifetime quality-adjusted life-year (QALY) burden. Perspective-Patient.
QALYs gained by treatment. Fairly small differences in true patient burden from blood pressure treatment alter the number of blood pressure medications that should be recommended and alters treatment's potential benefit dramatically. We also found that a clinician misunderstanding the patient's burden could lead to almost 30% of patients being treated inappropriately. Our results are based on simulation modeling. Clinical decisions that fail to account for patient treatment burden can mistreat a very large proportion of the public. Successful treatment choices closely depend on a clinician's ability to accurately gauge a patient's treatment burden.
临床决策需要权衡可能的风险和益处,而这通常基于医疗服务提供者对治疗负担的认知。患者对于治疗负担应占多大比重往往有不同的看法。为了研究患者治疗负担的微小变化会在多大程度上影响抗高血压药物的最佳使用,以及临床医生对患者价值观的误解会导致多少治疗过度和治疗不足的情况。分析——马尔可夫链模型。数据来源——现有文献,包括一项血压试验的个体水平荟萃分析。目标人群——美国40至85岁的代表性样本,无心血管疾病史。时间范围——10年治疗对估计的终身质量调整生命年(QALY)负担的影响。视角——患者。
治疗获得的QALY。血压治疗中真实患者负担的相当小的差异会改变应推荐的血压药物数量,并显著改变治疗的潜在益处。我们还发现,临床医生对患者负担的误解可能导致近30%的患者接受不适当的治疗。我们的结果基于模拟建模。未能考虑患者治疗负担的临床决策可能会不恰当地治疗很大一部分公众。成功的治疗选择很大程度上取决于临床医生准确衡量患者治疗负担的能力。