We have mixed feelings about this feedback. On the one hand, we acknowledge that the
number of events per variable for some of the logistic regression analyses, particularly
the one to predict a final diagnosis of major depression on the basis of demographic
and injury variables, was suboptimal. This was because of the relatively low number
of participants (N=24, 17%) with such a diagnosis. We could have addressed this by
limiting the number of predictors in the model but decided against this because (1)
they had been selected a priori for theoretical reasons, and (2) the participant-to-variable
ratio in the model was acceptable. Nevertheless, a higher number of events per variable
would have been desirable.
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References
- Evaluating the psychometric properties of 3 depression measures in a sample of persons with traumatic brain injury and major depressive disorder.J Head Trauma Rehabil. 2016; 31: 225-232
- Validity of the Patient Health Questionnaire-9 in assessing depression following traumatic brain injury.J Head Trauma Rehabil. 2005; 20: 501-511
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Disclosures: none.
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© 2018 by the American Congress of Rehabilitation Medicine
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Access this article on ScienceDirectLinked Article
- Patient Health Questionnaire-9 in Patients With Broad-Spectrum Traumatic Brain InjuryArchives of Physical Medicine and RehabilitationVol. 99Issue 5
- PreviewDonders and Pendery1 examined the ability of the Patient Health Questionnaire-9 (PHQ-9) to screen for symptoms of depression after broad-spectrum traumatic brain injury (TBI). In 137 patients with TBI, PHQ-9 scores≥10 had a sensitivity of 91.7 and a specificity of 60.2 for predicting the diagnosis of major depression. The correlation coefficients between the scores of the PHQ-9 and Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) demoralization and low positive emotions scales were .64 and .48, respectively.
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