Testing the PROMIS   XXXX measures for monitoring @entity308 in a clinical sample outside the US.

@entity1 @entity308 @entity148
The @entity1 Reported Outcomes Measurement Information System (PROMIS) was devised to facilitate assessment of @entity1 self-reported health status, taking advantage of Item Response Theory. We aimed to assess measurement properties of the PROMIS @entity308 item bank and an 8-item static short form in a Spanish clinical sample. A three-month follow-up study of @entity1 with active mood/ @entity148 symptoms (n = 218) was carried out. We assessed model unidimensionality (Confirmatory Item Factor Analysis), reliability (internal consistency and Item Information Curves), and validity (convergent-discriminant with correlations; known-groups with comparison of means and effect sizes; and criterion validity with Receiver operating Characteristics (ROC) analysis). We also assessed 3-month responsiveness to change (Cohen's effect sizes (d) in stable and recovered @entity1 ). The unidimensional model showed adequate fit (CFI = 0.97, RMSEA = 0.08). Information Curves had reliabilities over 0.90 throughout most of the score continuum. As expected, we observed high correlations with external self-reported @entity308 , and moderate with self-reported @entity148 and clinical measures. The item bank showed an increasing severity gradient from no disorder (mean = 48, SE = 0.6) to @entity308 with comorbid @entity148 (mean = 55.8, SE = 0.4). PROMIS detected @entity308 with great accuracy according to the area under the curve (AUC = 0.89). Both formats, item bank and short form, were highly responsive to change in recovered @entity1 (d > 0.7) and had small changes in stable @entity1 (d < 0.2). The good metric properties of the Spanish PROMIS @entity308 measures provide further evidence of their adequacy for monitoring @entity308 levels of @entity1 in clinical settings. This double check of quality (within countries and populations) supports the ability of PROMIS measures for guaranteeing fair comparisons across languages and countries in specific clinical populations.
