Massachusetts General Hospital Institute for Technology Assessment, Boston, MA (JSS, CYK, JML, OA, EFH, PL, OW, ESZ, KD)
Harvard Medical School, Boston, MA (JSS, CYK, JML, EFH, KD)
Med Decis Making. 2013 Aug;33(6):819-38. doi: 10.1177/0272989X13487605. Epub 2013 May 20.
We developed preference-based and summated scale scoring for the Testing Morbidities Index (TMI) classification, which addresses short-term effects on quality of life from diagnostic testing before, during, and after testing procedures.
The two TMI preference functions use multiattribute value techniques; one is patient-based and the other has a societal perspective, informed by 206 breast biopsy patients and 466 (societal) subjects. Because of a lack of standard short-term methods for this application, we used the visual analog scale (VAS). Waiting tradeoff (WTO) tolls provided an additional option for linear transformation of the TMI. We randomized participants to 1 of 3 surveys: The first derived weights for generic testing morbidity attributes and levels of severity with the VAS; a second developed VAS values and WTO tolls for linear transformation of the TMI to a "dead-healthy" scale; the third addressed initial validation in a specific test (breast biopsy). The initial validation included 188 patients and 425 community subjects. Direct VAS and WTO values were compared with the TMI. Alternative TMI scoring as a nonpreference summated scale was included, given evidence of construct and content validity.
The patient model can use an additive function, whereas the societal model is multiplicative. Direct VAS and the VAS-scaled TMI were correlated across modeling groups (r = 0.45-0.62). Agreement was comparable to the value function validation of the Health Utilities Index 2. Mean absolute difference (MAD) calculations showed a range of 0.07-0.10 in patients and 0.11-0.17 in subjects. MAD for direct WTO tolls compared with the WTO-scaled TMI varied closely around 1 quality-adjusted life day.
The TMI shows initial promise in measuring short-term testing-related health states.
我们开发了基于偏好和综合评分的测试病态指数(TMI)分类,以解决诊断测试前、测试中和测试后对生活质量的短期影响。
两种 TMI 偏好函数均采用多属性价值技术;一种是基于患者的,另一种是基于社会视角的,通过 206 例乳腺活检患者和 466 例(社会)受试者得出。由于缺乏这种应用的标准短期方法,我们使用了视觉模拟量表(VAS)。等待权衡(WTO)通行费为 TMI 的线性转换提供了另一种选择。我们将参与者随机分配到 3 项调查中的 1 项:第一项使用 VAS 为通用测试病态属性和严重程度确定权重;第二项为 TMI 到“死亡-健康”量表的线性转换开发 VAS 值和 WTO 通行费;第三项在特定测试(乳腺活检)中进行初始验证。初始验证包括 188 例患者和 425 例社区受试者。直接 VAS 和 WTO 值与 TMI 进行了比较。鉴于结构和内容有效性的证据,包括了替代的 TMI 作为非偏好总和评分。
患者模型可以使用加法函数,而社会模型是乘法的。直接 VAS 和 VAS 刻度 TMI 在建模组之间具有相关性(r = 0.45-0.62)。一致性与健康效用指数 2 的值函数验证相当。平均绝对差(MAD)计算表明,患者的范围为 0.07-0.10,受试者的范围为 0.11-0.17。直接 WTO 通行费与 WTO 刻度 TMI 的 MAD 非常接近 1 个质量调整生命日。
TMI 在衡量短期与测试相关的健康状态方面显示出初步的前景。