Deriving severity thresholds of treatment burden for the patient experience with treatment and self-management (PETS).

Journal of multimorbidity and comorbidity Pub Date : 2025-06-23 eCollection Date: 2025-01-01 DOI:10.1177/26335565251350923
David T Eton, Kathleen J Yost
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Abstract

Objective: The Patient Experience with Treatment and Self-management (PETS) is a valid self-report measure of treatment burden. The objective of this analysis is to determine severity cut points for its scores.

Methods: Data from two survey studies of adults with multimorbidity were used to determine estimates of low, moderate, and high burden for twelve PETS scores. Anchor-based analyses were used to map mean PETS scores onto scores of other self-report measures, including physical and mental health, self-efficacy, and activity limitations. Low, medium, and high scores on the anchors were based on published thresholds or tertile splits of score distributions. Mean PETS scores were compared across levels of the anchor variable using analysis of variance (ANOVA) then summarized to produce burden severity cut points.

Results: Study 1 featured survey data from 332 adults with multimorbidity (mean age = 66 years, 56% female); study 2 featured survey data from 439 adults with multimorbidity (mean age = 60 years, 62% female). Anchor measures were correlated with PETS scores at rho≥ 0.30. ANOVAs comparing PETS scores across the levels of each anchor variable were all significant (ps< .001). Estimates were placed into data tables. Cut scores for discriminating treatment burden severity levels were identified as the midpoint between the mean PETS scores associated with adjacent anchor categories (e.g., low vs. medium and medium vs. high burden), rounded to the nearest whole number.

Conclusions: Severity thresholds can improve the interpretability of PETS scores. The preliminary estimates derived require verification in future studies.

为患者治疗和自我管理经验(PETS)确定治疗负担的严重程度阈值。
目的:患者治疗体验与自我管理(PETS)是一种有效的治疗负担自我报告测量方法。此分析的目的是确定其分数的严重性切分点。方法:使用来自两项多病成人调查研究的数据来确定12项pet评分的低、中、高负担估计值。使用基于锚点的分析将pet平均得分映射到其他自我报告措施的得分,包括身心健康、自我效能和活动限制。锚点的低、中、高分基于公布的阈值或分数分布的分位数分割。使用方差分析(ANOVA)比较锚变量各水平的平均PETS分数,然后总结得出负担严重切分点。结果:研究1的调查数据来自332名患有多种疾病的成年人(平均年龄66岁,56%为女性);研究2的调查数据来自439名多病成人(平均年龄60岁,62%为女性)。锚定测量值与PETS评分相关,rho≥0.30。在每个锚变量水平上比较PETS得分的方差分析均显著(ps< 0.001)。估计数被放入数据表中。区分治疗负担严重程度的切割分数被确定为与相邻锚点类别(例如,低与中,中与高负担)相关的平均PETS分数之间的中点,四舍五入到最接近的整数。结论:严重程度阈值可提高PETS评分的可解释性。所得的初步估计数需要在今后的研究中加以核实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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