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Effective dose 50 method as the minimal clinically important difference: Evidence from depression trials

Abstract:
Objective
Previous research on the minimal clinically important difference (MCID) for depression and anxiety is based on population averages. The present study aimed to identify the MCID across the spectrum of baseline severity.
Study Design and Settings
The present analysis used secondary data from 2 randomized controlled trials for depression (n = 1,122) to calibrate the Global Rating of Change with the PHQ–9 and GAD–7. The MCID was defined as a change in scores corresponding to a 50% probability of patients "feeling better", given their baseline severity, referred to as Effective Dose 50 (ED50).
Results
MCID estimates depended on baseline severity and ranged from no change for very mild up to 14 points (52%) on the PHQ–9 and up to 10 points (48%) on the GAD–7 for very high severity. The average MCID estimates were 3.7 points (23%) and 3.3 (28%) for the PHQ–9 and GAD–7 respectively.
Conclusion
The ED50 method generates MCID estimates across the spectrum of baseline severity, offering greater precision but at the cost of greater complexity relative to population average estimates. This has important implications for evaluations of treatments and clinical practice where users can use these results to tailor the MCID to specific populations according to baseline severities.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jclinepi.2021.04.002

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Institute for Musculoskeletal Sciences
Role:
Author
ORCID:
0000-0002-6392-6690
More by this author
Role:
Author
ORCID:
0000-0003-2198-3205
More by this author
Role:
Author
ORCID:
0000-0002-5250-3553


More from this funder
Funder identifier:
https://ror.org/03x94j517
Grant:
MR/K025643/1


Publisher:
Elsevier
Journal:
Journal of Clinical Epidemiology More from this journal
Volume:
137
Pages:
200-208
Place of publication:
United States
Publication date:
2021-04-19
Acceptance date:
2021-04-13
DOI:
EISSN:
1878-5921
ISSN:
0895-4356
Pmid:
33892086


Language:
English
Keywords:
Pubs id:
1346122
Local pid:
pubs:1346122
Deposit date:
2025-01-26
ARK identifier:

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