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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Crit Care Med. 2016 Dec;44(12):e1155–e1164. doi: 10.1097/CCM.0000000000001949

Table 5.

MID for FSS-ICU: distribution-based estimates

Study (sample size) USA – Kho (N=27-29) USA – Needham (N=44-52) Australia (N=19-66)a Brazil – da Silva (N=99) Brazil – Neto (N=561) Combined (N=91-807)
Standard Error of Measurement
ICU awakening/admission 1.8 1.7 1.8 1.0 1.1 1.3 (807)
ICU discharge 1.9 2.1 2.0 2.0 2.4 2.4 (800)
Hospital discharge 1.6 2.1 0.9 1.9 (91)
Minimal Detectable Change90
ICU awakening/admission 4.1 3.9 4.1 2.4 2.7 3.1 (807)
ICU discharge 4.3 4.9 4.7 4.8 5.7 5.4 (800)
Hospital discharge 3.7 4.9 2.2 4.5 (91)
0.5 SD (moderate Cohen effect size)
ICU awakening/admission 3.9 3.7 4.0 2.3 2.6 3.0 (807)
ICU discharge 4.2 4.7 4.6 4.6 5.4 5.3 (800)
Hospital discharge 3.6 4.7 2.1 4.3 (91)
0.2 SD (small Cohen effect size)
ICU awakening/admission 1.6 1.5 1.6 0.9 1.0 1.2 (807)
ICU discharge 1.7 1.9 1.8 1.8 2.2 2.1 (800)
Hospital discharge 1.4 1.9 0.8 1.7 (91)

Abbreviations: MID: minimal important difference; FSS-ICU: functional status score for the intensive care unit; SD: standard deviation.

a

Only 19 patients at hospital discharge.