Baseline-Dependent Minimal Clinically Important Difference (MCID) for Depression and Anxiety: A Patient-Centred Approach

Clarissa Bauer-Staeb, Daphne-Zacharenia Kounali, Nicky J Welton, Emma Griffith, Nicola J Wiles, Glyn Lewis, Julian J Faraway, Katherine S Button

Research output: Contribution to journalArticle (Academic Journal)peer-review

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 two randomised 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 employ these results to tailor the MCID to specific populations according to baseline severities.
Original languageEnglish
JournalJournal of Clinical Epidemiology
Publication statusAccepted/In press - 13 Apr 2021

Keywords

  • minimal clinically important difference
  • MCID
  • primary care
  • PHQ-9
  • GAD-7
  • clinically meaningful change

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