A novel CAT method for QoL screening: proof-of-principle study with comparisons to standard methods.

IF 2.7 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Quality of Life Research Pub Date : 2025-07-26 DOI:10.1007/s11136-025-04035-5

Anastasios Psychogyiopoulos, Niels Smits, L Andries van der Ark

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引用次数: 0

Abstract

Purpose: This proof-of-principle study investigated a novel Computer Adaptive Testing (CAT) method termed Latent-class and Sum score based Computerized Adaptive Testing (LSCAT), developed for screening purposes. LSCAT was assessed for its ability to accurately predict depression symptoms during health-related quality of life (HR-QoL) screenings.

Methods: LSCAT's performance was compared with two benchmark CAT methods, Stochastic Curtailment (SC) and Decision Tree based Computer Adaptive Testing (DTCAT), using data from the Patient Health Questionnaire-9 (PHQ-9).

Results: LSCAT consistently outperformed both SC and DTCAT in terms of predictive accuracy, achieving the lowest rates of Type I error. Furthermore, LSCAT's Type II error rates were at least as low as those of SC and significantly lower than those of DTCAT across all simulation scenarios.

Conclusion: These results suggest that LSCAT is a promising method for developing valid and efficient screening tools in HR-QoL research and practice.

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一种用于生活质量筛选的新型CAT方法：与标准方法比较的原理证明研究。

目的：这项原理验证研究调查了一种新的计算机自适应测试（CAT）方法，称为基于潜在类和总和分数的计算机自适应测试（LSCAT），为筛选目的而开发。评估LSCAT在健康相关生活质量（HR-QoL）筛查中准确预测抑郁症状的能力。方法：使用患者健康问卷-9 （PHQ-9）的数据，将LSCAT的性能与随机缩减（SC）和基于决策树的计算机自适应测试（DTCAT）两种基准CAT方法进行比较。结果：LSCAT在预测准确性方面始终优于SC和DTCAT，实现了最低的I型错误率。此外，在所有模拟场景中，LSCAT的II型错误率至少与SC一样低，显著低于DTCAT。结论：在HR-QoL的研究和实践中，LSCAT是一种有效、高效的筛选工具。

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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来源期刊

Quality of Life Research 医学-公共卫生、环境卫生与职业卫生

CiteScore

6.50

自引率

8.60%

发文量

224

审稿时长

3-8 weeks

期刊介绍： Quality of Life Research is an international, multidisciplinary journal devoted to the rapid communication of original research, theoretical articles and methodological reports related to the field of quality of life, in all the health sciences. The journal also offers editorials, literature, book and software reviews, correspondence and abstracts of conferences. Quality of life has become a prominent issue in biometry, philosophy, social science, clinical medicine, health services and outcomes research. The journal''s scope reflects the wide application of quality of life assessment and research in the biological and social sciences. All original work is subject to peer review for originality, scientific quality and relevance to a broad readership. This is an official journal of the International Society of Quality of Life Research.