Aaron E Carroll1, Stephen M Downs. 1. Children's Health Services Research, Indiana University School of Medicine, Indianapolis, IN, USA. aaecarro@iupui.edu
Abstract
OBJECTIVE: To gather and calculate utilities for a wide range of health states in the pediatric population. STUDY DESIGN: The study subjects, parents or guardians at least 18 years of age with at least 1 child under age 18 years, were recruited through our Pediatric Research Network (PResNet). Recruitment locations included pediatric clinics, the Indiana State Fair, and public and private conventions. Each subject's utilities were assessed on 3 random health states out of 29 chosen for the study. Both the time trade-off and standard gamble methods were used to measure utilities. RESULTS: Utilities were assessed in a total of 4016 participants (a recruitment rate of 88%). Utility values ranged from a high for acute otitis media (0.96 by standard gamble; 0.97 by time trade-off) to a low for severe mental retardation (0.59 by standard gamble; 0.51 by time trade-off). CONCLUSIONS: Our extensive data set of utility assessments for a wide range of disease states can aid future economic evaluations of pediatric health care.
OBJECTIVE: To gather and calculate utilities for a wide range of health states in the pediatric population. STUDY DESIGN: The study subjects, parents or guardians at least 18 years of age with at least 1 child under age 18 years, were recruited through our Pediatric Research Network (PResNet). Recruitment locations included pediatric clinics, the Indiana State Fair, and public and private conventions. Each subject's utilities were assessed on 3 random health states out of 29 chosen for the study. Both the time trade-off and standard gamble methods were used to measure utilities. RESULTS: Utilities were assessed in a total of 4016 participants (a recruitment rate of 88%). Utility values ranged from a high for acute otitis media (0.96 by standard gamble; 0.97 by time trade-off) to a low for severe mental retardation (0.59 by standard gamble; 0.51 by time trade-off). CONCLUSIONS: Our extensive data set of utility assessments for a wide range of disease states can aid future economic evaluations of pediatric health care.
Authors: Jessica C Lloyd; Talitha Yen; Ricardo Pietrobon; John S Wiener; Sherry S Ross; Paul J Kokorowski; Caleb P Nelson; Jonathan C Routh Journal: J Pediatr Urol Date: 2014-04-04 Impact factor: 1.830
Authors: Marie-Chantal Ethier; Dean A Regier; Deborah Tomlinson; Peter Judd; John Doyle; Adam Gassas; Ahmed Naqvi; Lillian Sung Journal: Support Care Cancer Date: 2011-09-25 Impact factor: 3.603
Authors: Erinn T Rhodes; Lisa A Prosser; Tracy A Lieu; Thomas J Songer; David S Ludwig; Lori M Laffel Journal: Pediatr Diabetes Date: 2011-04-13 Impact factor: 4.866
Authors: Rohit Tejwani; Hsin-Hsiao S Wang; Jessica C Lloyd; Paul J Kokorowski; Caleb P Nelson; Jonathan C Routh Journal: J Urol Date: 2016-10-13 Impact factor: 7.450
Authors: Seija K Kromm; Jennifer Bethell; Ferne Kraglund; Sarah A Edwards; Audrey Laporte; Peter C Coyte; Wendy J Ungar Journal: Qual Life Res Date: 2011-10-29 Impact factor: 4.147