Rothrock Nan E, Amtmann Dagmar, Cook Karon F
Department of Medical Social Sciences, Feinberg School of Medicine of Northwestern University, 625 N. Michigan Ave Suite 2700, Chicago, IL, 60660, USA.
Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA.
J Patient Rep Outcomes. 2020 Feb 28;4(1):16. doi: 10.1186/s41687-020-0181-7.
Accurate score interpretation is required for the appropriate use of patient-reported outcome measures in clinical practice.
To create and evaluate figures (T-score Maps) to facilitate the interpretation of scores on Patient-Reported Outcome Measurement Information System (PROMIS) measures.
For 21 PROMIS® short forms, item-level information was used to predict the most probable responses to items for the range of possible scores on each short form. Predicted responses were then "mapped" graphically along the range of possible scores. In a previously conducted longitudinal study, 1594 adult participants with chronic conditions (e.g., multiple sclerosis) responded to four items each of a subset of these PROMIS short forms. Participants' responses to these items were compared to those predicted by the T-score Maps. Difference scores were calculated between observed and predicted scores, and Spearman correlations were calculated.
We constructed T-score Maps for 21 PROMIS short forms for adults and pediatric self- and parent-proxy report. For the clinical population, participants' actual responses were strongly correlated with their predicted responses (r = 0.762 to 0.950). The majority of predicted responses exactly matched observed responses (range 69.5% to 85.3%).
Results support the validity of the predicted responses used to construct T-score Maps. T-score Maps are ready to be tested as interpretation aids in a variety of applications.
在临床实践中正确使用患者报告结局测量指标需要准确的分数解读。
创建并评估图表(T 分数图),以促进对患者报告结局测量信息系统(PROMIS)指标分数的解读。
对于21种PROMIS®简表,使用项目级信息预测每种简表在可能分数范围内对各项目最可能的回答。然后将预测的回答沿可能分数范围进行图形化“映射”。在之前进行的一项纵向研究中,1594名患有慢性疾病(如多发性硬化症)的成年参与者对这些PROMIS简表子集中的四个项目做出了回答。将参与者对这些项目的回答与T分数图预测的回答进行比较。计算观察分数与预测分数之间的差异分数,并计算斯皮尔曼相关性。
我们为21种成人及儿童自我和家长代理报告的PROMIS简表构建了T分数图。对于临床人群,参与者的实际回答与其预测回答高度相关(r = 0.762至0.950)。大多数预测回答与观察到的回答完全匹配(范围为69.5%至85.3%)。
结果支持用于构建T分数图的预测回答的有效性。T分数图准备好在各种应用中作为解读辅助工具进行测试。