The Patient Needs in Asthma Treatment (NEAT) questionnaire: Further evidence on its psychometric properties

The Patient Needs in Asthma Treatment (NEAT) questionnaire: Further evidence on its psychometric properties
复制标题

DOI:
10.1111/all.13782
复制
发表时间:
2019-08-01
期刊:
影响因子:
12.4
通讯作者:
Loerbroks, Adrian
Loerbroks, Adrian
中科院分区:
医学1区
文献类型:
--
作者:
Schreitmueller, Julia;Apfelbacher, Christian;Loerbroks, Adrian

文献摘要

被引文献

相似文献

背景:基于先前的心理测量学工作,我们试图评估哮喘治疗患者需求(NEAT)问卷的有效性,对变化的反应性,3年期间的最小重要变化(MIC)(研究1)及其可靠性和最小可检测变化(SDC)在一项自述医生诊断哮喘患者的重测研究(研究2)中。方法:在研究1中,共207例患者完成了2014年和2017年的NEAT、哮喘控制测试(ACT)、哮喘生活质量问卷(AQLQ-S)和治疗满意度调查。在研究2中,共有78名患者在2018年平均间隔四周完成了两次NEAT。结果:同期效度:在线性回归中,未满足的患者需求与较差的哮喘控制(β =-0.21; P = 0.01)、哮喘相关生活质量(β = 0.31; P < 0.01)和治疗满意度(β =-0.59; P < 0.01)呈横断面相关。预测效度:基线时未满足需求越高,随访时治疗满意度越差(β =-0.28; P < 0.01),但哮喘控制和哮喘相关生活质量均不存在预测效度。通过对NEAT总分、AQLQ-S变化(beta = 0.21, P < 0.01)和治疗满意度变化(beta =-0.36, P < 0.01)的线性回归来证明对变化的响应性。MIC:在基线和随访期间,通过确定的MIC (0.301), NEAT评分升高的患者在随访时的治疗满意度较低(beta = -0.17; P = 0.01)。通过NEAT基线与随访评分之间的相关性(例如,总分的类内相关系数= 0.78)证明了重测信度。SDC(0.384)略大于MIC。结论:NEAT是一种很有前景的评估哮喘治疗需求的工具。
Background: Building on previous psychometric work, we sought to assess the Patient Needs in Asthma Treatment (NEAT) questionnaire's validity, responsiveness to change, and the minimal important change (MIC) over a 3-year period (Study 1) and its reliability and the smallest detectable change (SDC) in a test-retest study (Study 2) among patients self-reporting physician-diagnosed asthma.Methods: In Study 1, a total of 207 patients completed a survey which included the NEAT, the Asthma Control Test (ACT), the Asthma Quality of Life QuestionnaireSydney (AQLQ-S), and a question on treatment satisfaction in 2014 and 2017. In Study 2, a total of 78 patients completed NEAT twice on average four weeks apart in 2018.Results: Concurrent validity: In linear regressions, unmet patient needs were crosssectionally associated with poorer asthma control (beta =-0.21; P = 0.01), asthma-related quality of life (QoL) (beta = 0.31; P < 0.01), and treatment satisfaction (beta =-0.59; P < 0.01). Predictive Validity: Higher unmet needs at baseline predicted worse treatment satisfaction at follow-up (beta =-0.28; P < 0.01), but neither asthma control nor asthma-related QoL. Responsiveness to change was demonstrated by linear regressions of changes in the total NEAT score and changes in AQLQ-S (beta = 0.21; P < 0.01) and treatment satisfaction (beta =-0.36; P < 0.01). MIC: Patients whose NEAT score increased between baseline and follow-up by the identified MIC (0.301) reported lower treatment satisfaction at follow-up (beta = -0.17; P = 0.01). Test-retest reliability was demonstrated by correlations between NEAT baseline and follow-up scores (eg, intra-class correlation coefficients for total score = 0.78). The SDC (0.384) was slightly larger than MIC.Conclusion: NEAT is a promising tool for assessing asthma treatment needs.