Distribution-based estimates of minimal important difference for hospital anxiety and depression scale and impact of event scale-revised in survivors of acute respiratory failure

Kitty S. Chan, Lisa Aronson Friedman, O. Joseph Bienvenu, Victor D. Dinglas, Brian H. Cuthbertson, Richard Porter, Christina Jones, Ramona O. Hopkins, Dale M. Needham

Research output: Contribution to journalArticlepeer-review

Abstract

Objective This study will estimate distribution-based minimal important difference (MID) for the Hospital Anxiety and Depression Scale anxiety (HADS-A) and depression (HADS-D) subscales, and the Impact of Event Scale-Revised (IES-R) in survivors of acute respiratory failure (ARF). Methods Secondary analyses of data from two US and three UK studies of ARF survivors (total N=1223). HADS-D and HADS-A were used to assess depression and anxiety symptoms. IES-R assessed post-traumatic stress disorder symptoms. Standard error of measurement, minimal detectable change90, 0.5 standard deviation (S.D.), and 0.2 S.D. were used to estimate MID for the combined sample, by studies, 6- and 12-month follow-ups, country and mental health condition. Results Overall, MID estimates converged to 2.0–2.5 for the HADS-A, 1.9–2.3 for the HADS-D and 0.17–0.18 for the IES-R. MID estimates were comparable across studies, follow-up, country and mental health condition. Conclusion Among ARF survivors, 2.0–2.5 is a reasonable range for the MID for both HADS subscales, and 0.2 is reasonable for IES-R. Until anchor-based MIDs for these instruments are available, these distribution-based estimates can help researchers plan future studies and interpret the clinical importance of findings in ARF patient populations.

Original languageEnglish (US)
Pages (from-to)32-35
Number of pages4
JournalGeneral Hospital Psychiatry
Volume42
DOIs
StatePublished - Sep 1 2016

Keywords

  • Acute respiratory failure
  • Hospital anxiety and depression scale
  • Impact of event scale-revised
  • Minimal important difference

ASJC Scopus subject areas

  • Psychiatry and Mental health

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