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Outcome measures for intervention programs frequently point to time-specific events and actors as indicators of progress toward transformation, which may require decades to be realized.
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The change of steady-state distribution caused by possible perturbations is the key measure for intervention.
The two epidemiological states are separated by a threshold that provides a convenient measure for intervention design.
Length of hospital stay or avoidance of hospital admission is a salient outcome measure for intervention trials of epinephrine because institutional care represents the largest component of direct expenditures (over 60%) for bronchiolitis [ 26].
The health related quality of life of children is an important outcome measure for intervention [ 3] and is increasingly used as an outcome measure in conditions as diverse as lower urinary tract reconstruction in children with spina bifida[ 4], obesity [ 5] and tonsillectomy [ 6].
A total of 612 participants (306 per group) will provide 80% power to detect as significant, at the 5% level, a 30% lower rate of falls (i.e. the primary outcome measure) for intervention group participants compared with control participants (i.e., IRR = 0.70).
Outcome measures for the intervention and treatment as usual (control) groups will be compared using linear mixed-effects models.
Although many articles referred to the cost effectiveness of computer-tailored interventions [ 18– 25, 27, 29] 29], only one reported on any basic economic measures for their intervention such as costs.
The primary measures for assessing intervention efficacy are overall and specific CS uptake rates.
Both self-report and urine screens for active drug use were utilized as outcome measures for the intervention.
Post-treatment measures for the Intervention group were completed immediately following the end of Session 8 of treatment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com