The DOI matches its Crossref record; 33 of the 35 references it cites were found in a registry or an index.
The self-reported Montgomery-Asberg depression rating scale is a useful evaluative tool in major depressive disorder
Open accessAbstract
BACKGROUND: The use of Patient-reported Outcomes (PROs) as secondary endpoints in the development of new antidepressants has grown in recent years. The objective of this study was to assess the psychometric properties of the 9-item, patient-administered version of the Montgomery-Asberg Depression Rating Scale (MADRS-S). METHODS: Data from a multicentre, double-blind, 8-week, randomised controlled trial of 278 outpatients diagnosed with Major Depressive Disorder were used to evaluate the validity, reliability and sensitivity to change of the MADRS-S using psychometric methods. A Receiver Operating Characteristic (ROC) curve was plotted to identify the most appropriate threshold to define perceived remission. RESULTS: No missing values were found at the item level, indicating good acceptability of the scale. The construct validity was satisfactory: all items contributed to a common underlying concept, as expected. The correlation between MADRS-S and physicians' MADRS was moderate (r = 0.54, p < 0.001) indicating that MADRS-S is complementary rather than redundant to the MADRS. Cronbach's alpha was 0.84, and the stability over time of the scale, estimated on a sub-sample of patients whose health status did not change during the first week of the study, was good (intraclass correlation coefficient of 0.78). MADRS-S sensitivity to change was shown. Using a threshold value of 5, the definition of "perceived remission" reached a sensitivity of 82% and a specificity of 75%. CONCLUSION: Taking account of patient's perceptions of the severity of their own symptoms along with the psychometric properties of the MADRS-S enable its use for evaluative purposes in the development of new antidepressant drugs.
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“The MADRSS has demonstrated satisfactory internal consistency in both paper-and-pencil and Internet formats. 29,30”
From Internet-based treatment for provoked vulvodynia: Factors associated with treatment outcomes (2025) · cites this paper as [29]
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“The Montgomery-Åsberg Depression Rating Scale (MADRS-S) is a 9-item scale for measuring depressive symptoms and has satisfactory internal consistency (Fantino and Moore, 2009).”
From Internet-based treatment for vulvodynia (EMBLA) – Study protocol for a randomised controlled study (2021) · cites this paper as Fantino and Moore, 2009
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Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
(1992) · PubMed · Cited by 33,716
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
A new depression scale designed to be sensitive to change
Montgomery, S. A., & Åsberg, M. (1979) · British Journal of Psychiatry · doi:10.1192/bjp.134.4.382 · Cited by 13,962
(1976) · Medical Entomology and Zoology · Cited by 8,899
McHorney, C. A., Ware, J. E., Rachel Lu, J. F., & Sherbourne, C. D. (1994) · Medical Care · doi:10.1097/00005650-199401000-00004 · Cited by 4,458
Research works printed but not linked: 5
- Committee for Proprietary Medicinal Products: Note for guidance on clinical investigation of medicinal products in the treatment of depression (CPMP/EWP/518/97, Rev 1). 2002, London: EMEA
- Beck AT, Steer RA: Beck Depression Inventory Manual. 1993, San Antonio: Psychological Corporation
- SAS Institute: SAS/Stat User's Guide version 8.2. 1999, Cary: SAS Institute Inc
- Kerlinger FN: Foundation of Behavioral Research. 1964, New York: Holt, Rinehart & Winston
- Nunnally JC: Psychometric Theory. 1994, New-York: Mc Graw-Hill, 3
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Psychomotor retardation in depression: Biological underpinnings, measurement, and treatment
Close, J. S., McClintock, S. M., & Croarkin, P. E. (2010) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2010.10.019 · Cited by 420
Karyotaki, E., Ebert, D. D., Donkin, L., Riper, H., Twisk, J., Burger, S., Rozental, A., Lange, A., Williams, A. D., Zarski, A. C., et al. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.06.007 · Cited by 303
Citalopram versus other anti-depressive agents for depression
Cipriani, A., Purgato, M., Furukawa, T. A., Trespidi, C., Imperadore, G., Signoretti, A., Churchill, R. C., Watanabe, N., & Barbui, C. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006534.pub2 · Cited by 314
Holländare, F., Andersson, G., & Engström, I. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1392 · Cited by 179
Forsell, E., Bendix, M., Holländare, F., Szymanska von Schultz, B., Nasiell, J., Blomdahl-Wetterholm, M., Eriksson, C., Kvarned, S., Lindau van der Linden, J., Söderberg, E., et al. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.06.013 · Cited by 175
“Reliable Change Index (RCI) was calculated using the formula 1.96*(SD1*√2*√(1-rel)) (Wise, 2004) where SD1 is the initial standard deviation for the sample and rel is the test-retest reliability of the measure (MADRS-S test-retest reliability is 0.78 (Fantino and Moore, 2009)).”
MethodInfluential
Metadata
- Authors
- Fantino, B., & Moore, N.
- Affiliations
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Corresponding author
- Fantino, Bruno
- Moore, Nicholas
- ORCID
- Moore, Nicholas
- Venue
- BMC Psychiatry
- Published
- 2009-05-27
- Volume
- 9
- Issue
- 1
- Pages
- 26-26
- ISSN
- 1471-244X (ISSN-L)
- PMC
- PMC2701427
- OpenAlex
- W2044133982
- Cited by
- 200
- References
- 35
- Citations by year
- 2026: 14 · 2025: 14 · 2024: 23 · 2023: 16 · 2022: 15 · 2021: 13 · 2020: 23 · 2019: 17 · 2018: 17 · 2017: 10 · 2016: 4 · 2015: 5 · 2014: 7 · 2013: 5 · 2012: 7
- FWCI
- 3.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- H. Lundbeck A/S
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- Montgomery-Asberg Depression Rating Scale, major depressive disorder, patient-reported outcomes, psychometric properties, construct validity, reliability statistics, sensitivity to change, antidepressant drug development
- MeSH terms
- Adolescent, Adult, Aged, Ambulatory Care, Antidepressive Agents, Depressive Disorder, Major, Major Depressive Disorder, Female, Health Status, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Psychometrics, Surveys and Questionnaires, ROC Curve, Sensitivity and Specificity, Severity of Illness Index, Reproducibility of Results, Multicenter Studies as Topic, Randomized Controlled Trials as Topic, Treatment Outcome, Drug Discovery
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