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Construct Validity and Responsiveness of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales and Infant Scales in the PICU. | LitMetric

Construct Validity and Responsiveness of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales and Infant Scales in the PICU.

Pediatr Crit Care Med

1Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA. 2Department of Pediatrics, Seattle Children's Research Institute, Center for Child Health, Behavior and Development, Seattle, WA. 3Department of Pediatrics, University of Washington, Seattle, WA.

Published: June 2016

Objectives: To assess the construct validity and the responsiveness of the Pediatric Quality of Life Inventory 4.0 Generic Core Scales and Infant Scales in the medical-surgical (PICU) and cardiac PICU.

Design/setting/participants: Prospective cohort study of 367 inpatients admitted either to the PICU or the cardiac ICU at Seattle Children's Hospital from January 2012 to June 2013. Parent/caregiver and child (≥ 8 yr old, developmentally appropriate, and critical illness resolved) Pediatric Quality of Life Inventory scores were obtained within 24 hours of PICU/cardiac ICU discharge and subsequently at 4-12 weeks following hospital discharge. Of the 491 eligible participants invited to participate, 367 (74.7% response rate) completed the Pediatric Quality of Life Inventory survey at ICU discharge, and of these, 263 (71.7% follow-up response rate) completed the follow-up survey 4-12 weeks after hospital discharge.

Measurements And Main Results: Responsiveness was assessed by calculating improvement scores (difference between follow-up and ICU discharge scores, Δ Pediatric Quality of Life Inventory). Construct validity was examined by comparing mean improvement scores for known groups differing by medical complexity. At follow-up, [INCREMENT] Pediatric Quality of Life Inventory scores were as follows (mean ± SD): physical domain, 34.8 ± 32.0; and psychosocial domain, 23.1 ± 23.5. Patients with complex chronic or noncomplex chronic disease had physical functioning improvement scores that were 17.4 points (95% CI, -28.3 to -6.5; p < 0.001) and 19.5 points (95% CI, -30.4 to -8.5; p < 0.002) lower than children with no chronic illness, respectively. Patients with complex chronic disease exhibited psychosocial improvement scores that were 9.6 points (95% CI, -18.4 to -0.8; p < 0.033) lower than patients without chronic disease. Patients with noncomplex chronic disease had similar psychosocial improvement scores when compared with patients without chronic disease.

Conclusions: As a measure of health-related quality of live, Pediatric Quality of Life Inventory demonstrated responsiveness and construct validity in a broad population of critically ill children. This measure represents a patient-centered clinically meaningful patient-or-parent-reported outcome measure for pediatric research assessing the clinical effectiveness of PICU/cardiac ICU interventions. When using health-related quality of life recovery as an outcome measure to assess clinical effectiveness in the PICU/cardiac ICU setting, measuring and controlling for the level of medical complexity is important in order to understand the true impact of clinical interventions.

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Source
http://dx.doi.org/10.1097/PCC.0000000000000727DOI Listing

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