PDF(Pubmed)
Abstract：
UNASSIGNED: Major depressive disorder (MDD) is a leading cause of disability worldwide. An accurate assessment of depressive symptomology is crucial for clinical management and research. This study assessed the convergent validity, reliability, and total scale score interconversion across the 9-item Patient Health Questionnaire (PHQ-9) self-report, the 16-item Quick Inventory of Depressive Symptomatology-clinician report (QIDS-C) (two widely used clinical ratings) and the 5-item Very Brief Quick Inventory of Depressive Symptoms-clinician report (VQIDS-C), which evaluate the core features of MDD.
UNASSIGNED: This study leveraged electronic health record (EHR)-derived, de-identified data from the NeuroBlu Database (Version 23R1), a longitudinal behavioural health real-world platform. Classical Test Theory (CTT) and Item Response Theory (IRT) analyses were used to evaluate the reliability, validity of, and conversions between the scales. The Test Information Function (TIF) was calculated for each scale, with greater test information reflecting higher precision and reliability in measuring depressive symptomology. IRT was also used to generate conversion tables so that total scores on each scale could be compared to the other.
UNASSIGNED: The study sample (n = 2,156) had an average age of 36.4 years (standard deviation [SD] = 13.0) and 59.7% were female. The mean depression scores for the PHQ-9, QIDS-C, and VQIDS-C were 12.9 (SD = 6.6), 12.0 (SD = 4.9), and 6.18 (SD = 3.2), respectively. The Cronbach\'s alpha coefficients for PHQ-9, QIDS-C, and VQIDS-C were 0.9, 0.8, and 0.7, respectively, suggesting acceptable internal consistency. PHQ-9 (TIF = 30.3) demonstrated the best assessment of depressive symptomology, followed by QIDS-C (TIF = 25.8) and VQIDS-C (TIF = 17.7).
UNASSIGNED: Overall, PHQ-9, QIDS-C, and VQIDS-C appear to be reliable and convertible measures of MDD symptomology within a US-based adult population in a real-world clinical setting.
UNASSIGNED: This study leveraged electronic health record (EHR)-derived, de-identified data from the NeuroBlu Database (Version 23R1), a longitudinal behavioural health real-world platform. Classical Test Theory (CTT) and Item Response Theory (IRT) analyses were used to evaluate the reliability, validity of, and conversions between the scales. The Test Information Function (TIF) was calculated for each scale, with greater test information reflecting higher precision and reliability in measuring depressive symptomology. IRT was also used to generate conversion tables so that total scores on each scale could be compared to the other.
UNASSIGNED: The study sample (n = 2,156) had an average age of 36.4 years (standard deviation [SD] = 13.0) and 59.7% were female. The mean depression scores for the PHQ-9, QIDS-C, and VQIDS-C were 12.9 (SD = 6.6), 12.0 (SD = 4.9), and 6.18 (SD = 3.2), respectively. The Cronbach\'s alpha coefficients for PHQ-9, QIDS-C, and VQIDS-C were 0.9, 0.8, and 0.7, respectively, suggesting acceptable internal consistency. PHQ-9 (TIF = 30.3) demonstrated the best assessment of depressive symptomology, followed by QIDS-C (TIF = 25.8) and VQIDS-C (TIF = 17.7).
UNASSIGNED: Overall, PHQ-9, QIDS-C, and VQIDS-C appear to be reliable and convertible measures of MDD symptomology within a US-based adult population in a real-world clinical setting.
摘要：
■重度抑郁症（MDD）是全球残疾的主要原因。准确评估抑郁症状对于临床管理和研究至关重要。这项研究评估了收敛效度，可靠性,和9项患者健康问卷(PHQ-9)自我报告中的总量表得分相互转换，抑郁症状-临床医生报告（QIDS-C）（两个广泛使用的临床评级）的16项快速量表和抑郁症状-临床医生报告（VQIDS-C）的5项非常简短的快速量表，评估MDD的核心功能。
■这项研究利用了电子健康记录(EHR)衍生的，来自NeuroBlu数据库（23R1版）的去识别数据，纵向行为健康真实世界平台。经典测试理论(CTT)和项目反应理论(IRT)分析用于评估可靠性，的有效性，和音阶之间的转换。计算每个量表的测试信息函数(TIF)，具有更大的测试信息，反映出在测量抑郁症状学中更高的精度和可靠性。IRT还用于生成转换表，以便可以将每个量表上的总分与其他量表进行比较。
■研究样本（n=2,156）的平均年龄为36.4岁（标准偏差[SD]=13.0），女性占59.7％。PHQ-9、QIDS-C、VQIDS-C为12.9（SD=6.6），12.0（标准差=4.9），和6.18（SD=3.2），分别。PHQ-9、QIDS-C的Cronbachα系数，和VQIDS-C分别为0.9、0.8和0.7，建议可接受的内部一致性。PHQ-9（TIF=30.3）显示了抑郁症状的最佳评估，其次是QIDS-C(TIF=25.8)和VQIDS-C(TIF=17.7)。
■总的来说，PHQ-9,QIDS-C,在现实世界的临床环境中，在美国成年人群中，VQIDS-C似乎是MDD症状学的可靠且可转换的量度。
■这项研究利用了电子健康记录(EHR)衍生的，来自NeuroBlu数据库（23R1版）的去识别数据，纵向行为健康真实世界平台。经典测试理论(CTT)和项目反应理论(IRT)分析用于评估可靠性，的有效性，和音阶之间的转换。计算每个量表的测试信息函数(TIF)，具有更大的测试信息，反映出在测量抑郁症状学中更高的精度和可靠性。IRT还用于生成转换表，以便可以将每个量表上的总分与其他量表进行比较。
■研究样本（n=2,156）的平均年龄为36.4岁（标准偏差[SD]=13.0），女性占59.7％。PHQ-9、QIDS-C、VQIDS-C为12.9（SD=6.6），12.0（标准差=4.9），和6.18（SD=3.2），分别。PHQ-9、QIDS-C的Cronbachα系数，和VQIDS-C分别为0.9、0.8和0.7，建议可接受的内部一致性。PHQ-9（TIF=30.3）显示了抑郁症状的最佳评估，其次是QIDS-C(TIF=25.8)和VQIDS-C(TIF=17.7)。
■总的来说，PHQ-9,QIDS-C,在现实世界的临床环境中，在美国成年人群中，VQIDS-C似乎是MDD症状学的可靠且可转换的量度。
