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

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Standard

Standardization of depression measurement : a common metric was developed for 11 self-report depression measures. / Wahl, Inka; Löwe, Bernd; Bjørner, Jakob; Fischer, Felix; Langs, Gernot; Voderholzer, Ulrich; Aita, Stephen A; Bergemann, Niels; Brähler, Elmar; Rose, Matthias.

I: Journal of Clinical Epidemiology, Bind 67, Nr. 1, 01.2014, s. 73-86.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Wahl, I, Löwe, B, Bjørner, J, Fischer, F, Langs, G, Voderholzer, U, Aita, SA, Bergemann, N, Brähler, E & Rose, M 2014, 'Standardization of depression measurement: a common metric was developed for 11 self-report depression measures', Journal of Clinical Epidemiology, bind 67, nr. 1, s. 73-86. https://doi.org/10.1016/j.jclinepi.2013.04.019

APA

Wahl, I., Löwe, B., Bjørner, J., Fischer, F., Langs, G., Voderholzer, U., Aita, S. A., Bergemann, N., Brähler, E., & Rose, M. (2014). Standardization of depression measurement: a common metric was developed for 11 self-report depression measures. Journal of Clinical Epidemiology, 67(1), 73-86. https://doi.org/10.1016/j.jclinepi.2013.04.019

Vancouver

Wahl I, Löwe B, Bjørner J, Fischer F, Langs G, Voderholzer U o.a. Standardization of depression measurement: a common metric was developed for 11 self-report depression measures. Journal of Clinical Epidemiology. 2014 jan.;67(1):73-86. https://doi.org/10.1016/j.jclinepi.2013.04.019

Author

Wahl, Inka ; Löwe, Bernd ; Bjørner, Jakob ; Fischer, Felix ; Langs, Gernot ; Voderholzer, Ulrich ; Aita, Stephen A ; Bergemann, Niels ; Brähler, Elmar ; Rose, Matthias. / Standardization of depression measurement : a common metric was developed for 11 self-report depression measures. I: Journal of Clinical Epidemiology. 2014 ; Bind 67, Nr. 1. s. 73-86.

Bibtex

@article{6556d5291cda42c295f80f1cabc0beaa,
title = "Standardization of depression measurement: a common metric was developed for 11 self-report depression measures",
abstract = "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.",
keywords = "Adult, Depression, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Psychometrics, Questionnaires, Reproducibility of Results, Severity of Illness Index",
author = "Inka Wahl and Bernd L{\"o}we and Jakob Bj{\o}rner and Felix Fischer and Gernot Langs and Ulrich Voderholzer and Aita, {Stephen A} and Niels Bergemann and Elmar Br{\"a}hler and Matthias Rose",
note = "Copyright {\textcopyright} 2014 Elsevier Inc. All rights reserved.",
year = "2014",
month = jan,
doi = "10.1016/j.jclinepi.2013.04.019",
language = "English",
volume = "67",
pages = "73--86",
journal = "Journal of Clinical Epidemiology",
issn = "0895-4356",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Standardization of depression measurement

T2 - a common metric was developed for 11 self-report depression measures

AU - Wahl, Inka

AU - Löwe, Bernd

AU - Bjørner, Jakob

AU - Fischer, Felix

AU - Langs, Gernot

AU - Voderholzer, Ulrich

AU - Aita, Stephen A

AU - Bergemann, Niels

AU - Brähler, Elmar

AU - Rose, Matthias

N1 - Copyright © 2014 Elsevier Inc. All rights reserved.

PY - 2014/1

Y1 - 2014/1

N2 - 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.

AB - 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.

KW - Adult

KW - Depression

KW - Female

KW - Humans

KW - Male

KW - Middle Aged

KW - Psychiatric Status Rating Scales

KW - Psychometrics

KW - Questionnaires

KW - Reproducibility of Results

KW - Severity of Illness Index

U2 - 10.1016/j.jclinepi.2013.04.019

DO - 10.1016/j.jclinepi.2013.04.019

M3 - Journal article

C2 - 24262771

VL - 67

SP - 73

EP - 86

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

SN - 0895-4356

IS - 1

ER -

ID: 136794551