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Perfectionism is a transdiagnostic risk factor across psychopathology. The Clinical Perfectionism Questionnaire (CPQ) was developed to assess change in order to provide clinical utility, but currently the psychometric properties of the CPQ with adolescents is unknown.
To assess the factor structure and construct validity of the CPQ in female adolescents.
The CPQ was administered to 267 females aged 14–19 years of age. Confirmatory factor analysis (CFA) was used to examine the validity of the two-factor model and a second-order factor model. Pearson correlations were used to evaluate the relationships between the CPQ and a wide range of measures of perfectionism, psychopathology and personality traits.
The study demonstrated internal consistency, construct validity and incremental validity of the CPQ in a sample of female adolescents. The CFA in the present study confirmed the two-factor model of the CPQ with Factor 1 relating to perfectionistic strivings and Factor 2 representing perfectionistic concerns. The second-order two factor model indicated no deterioration in fit.
The two-factor model of the CPQ fits with the theoretical definition of clinical perfectionism where the over-dependence of self-worth on achievement and concern over mistakes are key elements. The CPQ is suitable for use with female adolescents in future research that seeks to better understand the role of perfectionism in the range of mental illnesses that impact youth.
Computerized decision support systems (CDSSs) can provide indication-specific antimicrobial recommendations and approvals as part of hospital antimicrobial stewardship (AMS) programs. The aim of this study was to assess the performance of a CDSS for surveillance of invasive fungal infections (IFIs) in an inpatient hematology/oncology cohort.
Between November 1, 2012, and October 31, 2013, pediatric hematology/oncology inpatients diagnosed with an IFI were identified through an audit of the CDSS and confirmed by medical record review. The results were compared to hospital diagnostic-related group (DRG) coding for IFI throughout the same period.
A total of 83 patients were prescribed systemic antifungals according to the CDSS for the 12-month period. The CDSS correctly identified 19 patients with IFI on medical record review, compared with 10 patients identified by DRG coding, of whom 9 were confirmed to have IFI on medical record review.
CDSS was superior to diagnostic coding in detecting IFI in an inpatient pediatric hematology/oncology cohort. The functionality of CDSS lends itself to inpatient infectious diseases surveillance but depends on prescriber adherence.
Infect. Control Hosp. Epidemiol. 2015;36(11):1313–1317