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用于测量重症精神疾病患者药物治疗体验的PREMIUM-DT题库的校准与验证

Calibration and Validation of a PREMIUM-DT Item Bank to Measure the Experience of Drug Therapy for Patients with Severe Mental Illness.

作者信息

Fernandes Sara, Boyer Laurent, Zendjidjian Xavier, Loundou Anderson, Riedberger Jeremie, Llorca Pierre-Michel, Auquier Pascal, Fond Guillaume

机构信息

CEReSS-Health Service Research and Quality of Life Center (UR3279), Aix-Marseille University, 13005 Marseille, France.

Fondation FondaMental, 94000 Créteil, France.

出版信息

J Clin Med. 2022 Jul 22;11(15):4278. doi: 10.3390/jcm11154278.

Abstract

The aim of this study was to (1) calibrate an item bank to measure patients’ experience of drug therapy for adult patients with SMIs and (2) develop computerized adaptive testing (CAT) to improve its use in routine practice. This is a cross-sectional, multicentric study involving 541 patients with schizophrenia, bipolar disorder, and major depressive disorder. Analyses based on classical test and item response theories were performed. After 7 highly inter-correlated items and 4 items with low factor loadings were removed, the remaining 26 items were sufficiently unidimensional (RMSEA = 0.069, CFI = 0.969, TLI = 0.963) and showed adequate fit to the generalized partial credit model. There was no differential item functioning by gender, age, care setting, or diagnosis from moderate- to large-magnitude. The mean score was 46.0 ± 16.9 and was significantly higher for patients reporting good medication adherence. The resulting PREMIUM-DT item bank has strong psychometric properties, and CAT facilitates widespread use in clinical settings (an average of 8 items administered, corresponding to a reliability of >0.90). Our results suggest that practical information and information about the side effects of psychotropic treatments and how to cope with them should be targeted as a priority to improve patients’ experience of drug therapy.

摘要

本研究的目的是

(1)校准一个题库,以衡量成年严重精神疾病患者的药物治疗体验;(2)开发计算机自适应测试(CAT),以改善其在常规实践中的应用。这是一项横断面、多中心研究,涉及541名精神分裂症、双相情感障碍和重度抑郁症患者。基于经典测试理论和项目反应理论进行了分析。在剔除7个高度相互关联的项目和4个因子载荷较低的项目后,其余26个项目具有足够的单维度性(RMSEA = 0.069,CFI = 0.969,TLI = 0.963),并且对广义部分计分模型显示出充分的拟合度。在性别、年龄、护理环境或诊断方面,从中度到大幅度均未发现项目功能差异。平均得分为46.0 ± 16.9,报告药物依从性良好的患者得分显著更高。由此产生的PREMIUM-DT题库具有很强的心理测量学特性,并且CAT便于在临床环境中广泛使用(平均施测8个项目,对应可靠性>0.90)。我们的结果表明,作为优先事项,应针对实用信息以及有关精神药物治疗副作用及其应对方法的信息,以改善患者的药物治疗体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3862/9331305/accb3aa88473/jcm-11-04278-g001.jpg

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