1. 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.
- Author
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Chan, Kitty S., Aronson Friedman, Lisa, Bienvenu, O. Joseph, Dinglas, Victor D., Cuthbertson, Brian H., Porter, Richard, Jones, Christina, Hopkins, Ramona O., and Needham, Dale M.
- Subjects
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ANXIETY , *MENTAL depression , *LONGITUDINAL method , *POST-traumatic stress disorder , *PSYCHOLOGICAL tests , *RESPIRATORY insufficiency , *SCALING (Social sciences) , *RESEARCH methodology evaluation , *DATA analysis software , *DESCRIPTIVE statistics - 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 change 90 , 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. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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