Standardization of depression measurement: a common metric was developed for 11 self-report depression measures

被引:158
作者
Wahl, Inka [1 ,2 ,3 ,4 ]
Loewe, Bernd [1 ,2 ,3 ,4 ]
Bjorner, Jakob Bue [5 ,6 ]
Fischer, Felix [7 ,8 ]
Langs, Gernot [9 ]
Voderholzer, Ulrich [10 ,11 ]
Aita, Stephen A. [12 ]
Bergemann, Niels [13 ]
Braehler, Elmar [14 ]
Rose, Matthias [1 ,2 ,3 ,4 ,8 ,15 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Dept Psychosomat Med & Psychotherapy, D-20246 Hamburg, Germany
[2] Schon Klin Hamburg Eilbek, D-20246 Hamburg, Germany
[3] Univ Med Ctr Hamburg Eppendorf, Dept Psychosomat Med & Psychotherapy, D-22081 Hamburg, Germany
[4] Schon Klin Hamburg Eilbek, D-22081 Hamburg, Germany
[5] Univ Copenhagen, Dept Publ Hlth, Sect Social Med, DK-1014 Copenhagen, Denmark
[6] QualityMetric, Lincoln, RI 02865 USA
[7] Charite, Inst Social Med Epidemiol & Hlth Econ, D-10117 Berlin, Germany
[8] Charite, Dept Psychosomat Med, D-10117 Berlin, Germany
[9] Schon Klin Bad Bramstedt, D-24576 Bad Bramstedt, Germany
[10] Schon Klin Roseneck, D-83209 Prien Am Chiemsee, Germany
[11] Univ Hosp Freiburg, Clin Psychiat & Psychotherapy, D-79104 Freiburg, Germany
[12] Schon Klin Starnberger See, D-82335 Berg, Germany
[13] Saxon Hosp Psychiat & Neurol, D-08228 Rodewisch, Germany
[14] Univ Leipzig, Dept Med Psychol & Med Sociol, D-04103 Leipzig, Germany
[15] UMASS Med Sch, Dept Quantitat Hlth Sci, Worcester, MA 01605 USA
关键词
Depression; Patient-reported outcomes; Item response theory; Item bank; Linking; Health outcome assessment; ITEM RESPONSE THEORY; PATIENT HEALTH QUESTIONNAIRE; CORONARY-HEART-DISEASE; QUALITY-OF-LIFE; COMPUTERIZED ADAPTIVE TEST; REPORT QIDS-SR; PSYCHOMETRIC EVALUATION; QUICK INVENTORY; RASCH ANALYSIS; ALL-CAUSE;
D O I
10.1016/j.jclinepi.2013.04.019
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objectives: To provide a standardized metric for the assessment of depression severity to enable comparability among results of established depression measures. Study Design and Setting: A common metric for 11 depression questionnaires was developed applying item response theory (IRT) methods. Data of 33,844 adults were used for secondary analysis including routine assessments of 23,817 in- and outpatients with mental and/or medical conditions (46% with depressive disorders) and a general population sample of 10,027 randomly selected participants from three representative German household surveys. Results: A standardized metric for depression severity was defined by 143 items, and scores were normed to a general population mean of 50 (standard deviation = 10) for easy interpretability. It covers the entire range of depression severity assessed by established instruments. The metric allows comparisons among included measures. Large differences were found in their measurement precision and range, providing a rationale for instrument selection. Published scale-specific threshold scores of depression severity showed remarkable consistencies across different questionnaires. Conclusion: An IRT-based instrument-independent metric for depression severity enables direct comparisons among established measures. The "common ruler" simplifies the interpretation of depression assessment by identifying key thresholds for clinical and epidemiologic decision making and facilitates integrative psychometric research across studies, including meta-analysis. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:73 / 86
页数:14
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