Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2008)
Prevalence of autism spectrum disorders-Autism and Developmental Disabilities Monitoring Network, 14 Sites
S. Myers, C. Johnson (2007)
Management of Children With Autism Spectrum DisordersPediatrics, 120
(2009)
Early intensive behavioral intervention based on applied behavior analysis among children with autism spectrum disorders. Technology Evaluation Center Assessment Program
Ungar Ungar (2011)
Challenges in health state valuation in paediatric economic evaluation: Are QALYs contraindicated?Pharmacoeconomics, 29
E. Pullenayegum, J. Tarride, F. Xie, R. Goeree, H. Gerstein, D. O'Reilly (2010)
Analysis of health utility data when some subjects attain the upper bound of 1: are Tobit and CLAD models appropriate?Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 13 4
S. Petrou, E. Kupek (2009)
Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and ScotlandMedical Decision Making, 29
Peter Neumann, S. Goldie, M. Weinstein (2000)
Preference-based measures in economic evaluation in health care.Annual review of public health, 21
L. Prosser, S. Grosse, A. Kemper, B. Tarini, J. Perrin (2012)
Decision analysis, economic evaluation, and newborn screening: challenges and opportunitiesGenetics in Medicine, 14
C. Carswell (2007)
Measuring and Valuing Health Benefits for Economic ValuationPharmacoEconomics, 25
S. Blumberg, Matthew Bramlett, M. Kogan, L. Schieve, Jessica Jones, Michael Lu (2013)
Changes in prevalence of parent-reported autism spectrum disorder in school-aged U.S. children: 2007 to 2011-2012.National health statistics reports, 65
G. Dawson, S. Rogers, J. Munson, Milani Smith, Jamie Winter, J. Greenson, Amy Donaldson, J. Varley (2010)
Randomized, Controlled Trial of an Intervention for Toddlers With Autism: The Early Start Denver ModelPediatrics, 125
S. Petrou, S. Johnson, D. Wolke, C. Hollis, P. Kochhar, N. Marlow (2010)
Economic costs and preference-based health-related quality of life outcomes associated with childhood psychiatric disordersBritish Journal of Psychiatry, 197
F. Prince, L. Geerdink, G. Borsboom, M. Twilt, M. Rossum, E. Hoppenreijs, R. Cate, Y. Koopman-Keemink, M. Santen-Hoeufft, H. Raat, L. Suijlekom-Smit (2009)
Major improvements in health-related quality of life during the use of etanercept in patients with previously refractory juvenile idiopathic arthritisAnnals of the Rheumatic Diseases, 69
D. Feeny, W. Furlong, G. Torrance, C. Goldsmith, Z. Zhu, S. Depauw, M. Denton, M. Boyle (2002)
Multiattribute and Single‐Attribute Utility Functions for the Health Utilities Index Mark 3 SystemMedical Care, 40
A. Bailey (2009)
Where are the autism economists?Autism Research, 2
D. Hausman (2006)
Valuing health.Philosophy & public affairs, 34 3
Rothenberg Rothenberg, Samson Samson (2009)
Early intensive behavioral intervention based on applied behavior analysis among children with autism spectrum disordersTechnology Evaluation Center Assessment Program. Executive Summary, 23
White Rose, Research Online, W. Brouwer, A. Exel, N. Rutten, W. Brouwer, A. Culyer, N. Job, A. Exel, F. Rutten, W. Brouwer (2003)
Promoting Access to White Rose Research Papers Welfarism vs. Extra-welfarism Welfarism vs. Extra-welfarism
K. Stevens (2012)
Valuation of the Child Health Utility 9D IndexPharmacoEconomics, 30
Stacy Shumway, C. Farmer, A. Thurm, Lisa Joseph, David Black, C. Golden (2012)
The ADOS Calibrated Severity Score: Relationship to Phenotypic Variables and Stability over TimeAutism Research, 5
N. Payakachat, J. Tilford, Erica Kovacs, K. Kuhlthau (2012)
Autism spectrum disorders: a review of measures for clinical, health services and cost–effectiveness applicationsExpert Review of Pharmacoeconomics & Outcomes Research, 12
(2005)
Vineland Adaptive Behavior Scales (2nd ed.)
(2011)
NICE DSU technical support document 10: The use of mapping methods to estimate health state utility values. Decision Support Unit, ScHARR
W. Ungar (2010)
Economic Evaluation in Child Health
C. Buysse, H. Raat, J. Hazelzet, J. Hulst, K. Cransberg, W. Hop, L. Vermunt, E. Utens, M. Maliepaard, K. Joosten (2008)
Long-term health status in childhood survivors of meningococcal septic shock.Archives of pediatrics & adolescent medicine, 162 11
J. Brazier, Jennifer Roberts (2004)
The Estimation of a Preference-Based Measure of Health From the SF-12Medical Care, 42
L. Prosser, J. Hammitt, R. Keren (2012)
Measuring Health Preferences for Use in Cost-Utility and Cost-Benefit Analyses of Interventions in ChildrenPharmacoEconomics, 25
G. Aylward (2017)
Bayley Scales of Infant and Toddler Development
A. Raymakers, M. Sadatsafavi, F. Marra, C. Marra (2012)
Economic and Humanistic Burden of External Genital WartsPharmacoEconomics, 30
R. Chapman, M. Berger, M. Weinstein, J. Weeks, S. Goldie, P. Neumann (2004)
When does quality-adjusting life-years matter in cost-effectiveness analysis?Health economics, 13 5
Tilford Tilford, Payakachat Payakachat, Kovacs Kovacs, Pyne Pyne, Brouwer Brouwer (2012)
Preference‐based health‐related quality of life outcomes in children with autism spectrum disorders: A comparison of generic instrumentsPharmacoeconomics, 30
Prosser Prosser, Hammitt Hammitt, Keren Keren (2007)
Measuring health preferences for use in cost‐utility and cost‐benefit analyses of interventions in children: Theoretical and methodological considerationsPharmacoeconomics, 25
D. Meltzer, Peter Smith (2011)
Theoretical Issues Relevant to the Economic Evaluation of Health TechnologiesHandbook of Health Economics, 2
N. Wille, X. Badia, G. Bonsel, K. Burström, Gulia Cavrini, N. Devlin, A. Egmar, W. Greiner, N. Gusi, M. Herdman, J. Jelsma, P. Kind, L. Scalone, U. Ravens-Sieberer (2010)
Development of the EQ-5D-Y: a child-friendly version of the EQ-5DQuality of Life Research, 19
E. Goldson (2004)
Educating Children with AutismJournal of Developmental and Behavioral Pediatrics, 25
(2008)
Quality of Well Being Self-Administered (QWB-SA) Scale: User’s manual
A. Briggs (2000)
Handling Uncertainty in Cost-Effectiveness ModelsPharmacoEconomics, 17
J. Varni, Tasha Burwinkle, M. Seid, Douglas Skarr (2003)
The PedsQL 4.0 as a pediatric population health measure: feasibility, reliability, and validity.Ambulatory pediatrics : the official journal of the Ambulatory Pediatric Association, 3 6
A. Basu, A. Manca (2012)
Regression Estimators for Generic Health-Related Quality of Life and Quality-Adjusted Life YearsMedical Decision Making, 32
K. Goldsmith, M. Dyer, M. Buxton, L. Sharples (2010)
Mapping of the EQ-5D index from clinical outcome measures and demographic variables in patients with coronary heart diseaseHealth and Quality of Life Outcomes, 8
W. Ungar (2007)
Paediatric health economic evaluations: a world view.Healthcare quarterly, 10 1
D. Pregibon (1980)
Goodness of Link Tests for Generalized Linear ModelsJournal of The Royal Statistical Society Series C-applied Statistics, 29
(2009)
National standards report
J. Horsman, W. Furlong, D. Feeny, G. Torrance (2003)
The Health Utilities Index (HUI®): concepts, measurement properties and applicationsHealth and Quality of Life Outcomes, 1
C. Lord, S. Risi, Linda Lambrecht, E. Cook, B. Leventhal, Pamela DiLavore, A. Pickles, M. Rutter (2000)
The Autism Diagnostic Observation Schedule—Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of AutismJournal of Autism and Developmental Disorders, 30
Ron Kohavi (1995)
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
V. Preedy, Ronald Watson (2010)
Scottish Intercollegiate Guidelines Network
P. Howlin, I. Magiati, T. Charman (2009)
Systematic review of early intensive behavioral interventions for children with autism.American journal on intellectual and developmental disabilities, 114 1
Z. Warren, M. McPheeters, Nila Sathe, J. Foss-Feig, Allison Glasser, J. Veenstra-VanderWeele (2011)
A Systematic Review of Early Intensive Intervention for Autism Spectrum DisordersPediatrics, 127
Brouwer Brouwer, Culyer Culyer, Exel Exel, Rutten Rutten (2008)
Welfarism vs. extra‐welfarismJournal of Health Economics, 27
J. Varni, M. Seid, P. Kurtin (2001)
PedsQL™ 4.0: Reliability and Validity of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales in Healthy and Patient PopulationsMedical Care, 39
Lord Lord, Bishop Bishop (2010)
Autism spectrum disorders: Diagnosis, prevalence, and services for children and families. Society for Research in Child Development. Sharing Child and Youth Development KnowledgeSocial Policy Report, 24
J. Wallander, M. Dekker, H. Koot (2006)
Risk factors for psychopathology in children with intellectual disability: a prospective longitudinal population-based study.Journal of intellectual disability research : JIDR, 50 Pt 4
M. Merrill, L. Terman, L. Terman (1972)
Stanford-Binet Intelligence Scale
W. Ungar (2011)
Challenges in Health State Valuation in Paediatric Economic EvaluationPharmacoEconomics, 29
J. Long, Laurie Ervin (2000)
Using Heteroscedasticity Consistent Standard Errors in the Linear Regression ModelThe American Statistician, 54
(2007)
Assessment, diagnosis and clinical interventions for children and young people with autism spectrum disorders. A national clinical guideline
H. Loewen (2011)
LibGuides: Assessment Tools: Bayley scales of infant and toddler development (3rd ed.)
N. Luo, Jeffrey Johnson, S. Coons (2010)
Using Instrument-Defined Health State Transitions to Estimate Minimally Important Differences for Four Preference-Based Health-Related Quality of Life InstrumentsMedical Care, 48
H. Dakin, S. Petrou, M. Haggard, S. Benge, I. Williamson (2010)
Mapping analyses to estimate health utilities based on responses to the OM8-30 otitis media questionnaireQuality of Life Research, 19
M. Weinstein, J. Siegel, M. Gold, M. Kamlet, L. Russell (1996)
Recommendations of the Panel on Cost-effectiveness in Health and Medicine.JAMA, 276 15
(2008)
The National Institute for Health and Care Excellence. National Institute for Health and Clinical Excellence (NICE)
D. Greenberg, P. Neumann (2011)
Does adjusting for health-related quality of life matter in economic evaluations of cancer-related interventions?Expert Review of Pharmacoeconomics & Outcomes Research, 11
P. Howlin, S. Goode, J. Hutton, M. Rutter (2004)
Adult outcome for children with autism.Journal of child psychology and psychiatry, and allied disciplines, 45 2
A. Kasuya (1990)
EuroQol--a new facility for the measurement of health-related quality of life.Health policy, 16 3
M. Versteegh, D. Rowen, J. Brazier, E. Stolk (2010)
Mapping onto Eq-5 D for patients in poor healthHealth and Quality of Life Outcomes, 8
S. Bradley-Johnson (1997)
Mullen Scales of Early LearningPsychology in the Schools, 34
L. Longworth, M. Buxton, M. Sculpher, David Smith (2005)
Estimating utility data from clinical indicators for patients with stable anginaThe European Journal of Health Economics, 6
T. Charman (2002)
The prevalence of autism spectrum disordersEuropean Child & Adolescent Psychiatry, 11
K. Stevens (2010)
Valuation of the Child Health Utility Index 9D (CHU9D)
M. Dekker, Russell Nunn, H. Koot (2002)
Psychometric properties of the revised Developmental Behaviour Checklist scales in Dutch children with intellectual disability.Journal of intellectual disability research : JIDR, 46 Pt 1
K. Gotham, A. Pickles, C. Lord (2009)
Standardizing ADOS Scores for a Measure of Severity in Autism Spectrum DisordersJournal of Autism and Developmental Disorders, 39
J. Ramsey (1969)
Tests for Specification Errors in Classical Linear Least‐Squares Regression AnalysisJournal of the royal statistical society series b-methodological, 31
R. Crott, A. Briggs (2010)
Mapping the QLQ-C30 quality of life cancer questionnaire to EQ-5D patient preferencesThe European Journal of Health Economics, 11
R. Glasgow, J. Steiner (2012)
Comparative Effectiveness Research to Accelerate Translation: Recommendations for an Emerging Field of Science
P. Neumann, D. Greenberg (2009)
Is the United States ready for QALYs?Health affairs, 28 5
R. Glasgow, V. Doria-Rose, M. Khoury, M. Elzarrad, Martin Brown, K. Stange (2013)
Comparative effectiveness research in cancer: what has been funded and what knowledge gaps remain?Journal of the National Cancer Institute, 105 11
C. Lord, S. Bishop (2010)
Autism Spectrum Disorders and commentaries, 24
(2013)
Guide to the methods of technology appraisal 2013
J. Lipscomb, M. Drummond, D. Fryback, M. Gold, D. Revicki (2009)
Retaining, and enhancing, the QALY.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 12 Suppl 1
R. Glasgow, Cynthia Vinson, David Chambers, M. Khoury, R. Kaplan, Christine Hunter (2012)
National Institutes of Health approaches to dissemination and implementation science: current and future directions.American journal of public health, 102 7
T. Achenbach, Thomas Ruffle (2000)
The Child Behavior Checklist and related forms for assessing behavioral/emotional problems and competencies.Pediatrics in review, 21 8
N. Payakachat, K. Summers, A. Pleil, Matthew Murawski, J. Thomas, Kristofer Jennings, James Anderson (2009)
Predicting EQ-5D utility scores from the 25-item National Eye Institute Vision Function Questionnaire (NEI-VFQ 25) in patients with age-related macular degenerationQuality of Life Research, 18
J. Brazier, Yaling Yang, A. Tsuchiya, D. Rowen (2010)
A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measuresThe European Journal of Health Economics, 11
Dr Tilford, N. Payakachat, Erica Kovacs, J. Pyne, W. Brouwer, T. Nick, Jayne Bellando, K. Kuhlthau (2012)
Preference-Based Health-Related Quality-of-Life Outcomes in Children with Autism Spectrum DisordersPharmacoEconomics, 30
MMWR. Surveillance Summaries: Morbidity and Mortality Weekly Report. Surveillance Summaries, 61
C. Lord, L. Somer, Bishop, D. Bryant, Kelly Maxwell, A. Hainsworth, S. Odom, H. Anne, Hainsworth, M. Zaslow, Amy Glaspie, G. Duncan, Nancy Hill, A. Sameroff, M. Killen, A. Masten, R. Lerner, S. Goldin‐Meadow, Kenneth Rubin, Oscar Barbarin, E. Susman, P. Bauer, T. Weisner, M. Bornstein, L. Sherrod, Ex Officio, Jennie Grammer, B. Fiese, B. Leadbeater, Anna Johnson, Brenda Harden, T. Leventhal, J. Mahoney, J. Murray, J. Ogawa, Cassandra Simmel, L. Tarullo, A. Easterbrooks, Margaret Burchinal, Noel Card, V. Murry, J. Santo, A. Pick, K. Brakke, Fons Vijver, W. Collins, N. Eisenberg, J. Lockman, Honberg, Kogan (2010)
Autism Spectrum Disorders Diagnosis , Prevalence , and Services for Children and Families
K. Kuhlthau, F. Orlich, Trevor Hall, D. Sikora, Erica Kovacs, Jennifer Delahaye, T. Clemons (2010)
Health-Related Quality of Life in Children with Autism Spectrum Disorders: Results from the Autism Treatment NetworkJournal of Autism and Developmental Disorders, 40
(2011)
The MI procedure
K. Khan, S. Petrou, O. Rivero-Arias, S. Walters, S. Boyle (2014)
Mapping EQ-5D Utility Scores from the PedsQL™ Generic Core ScalesPharmacoEconomics, 32
M. Gold (2016)
Cost-effectiveness in health and medicine
S. Grosse, L. Prosser, K. Asakawa, D. Feeny (2010)
QALY weights for neurosensory impairments in pediatric economic evaluations: case studies and a critiqueExpert Review of Pharmacoeconomics & Outcomes Research, 10
Janet Williams (2013)
Diagnostic and Statistical Manual of Mental Disorders
M. Versteegh, A. Leunis, J. Luime, M. Boggild, C. Groot, E. Stolk (2012)
Mapping QLQ-C30, HAQ, and MSIS-29 on EQ-5DMedical Decision Making, 32
Comparative effectiveness of interventions for children with autism spectrum disorders (ASDs) that incorporates costs is lacking due to the scarcity of information on health utility scores or preference‐weighted outcomes typically used for calculating quality‐adjusted life years (QALYs). This study created algorithms for mapping clinical and behavioral measures for children with ASDs to health utility scores. The algorithms could be useful for estimating the value of different interventions and treatments used in the care of children with ASDs. Participants were recruited from two Autism Treatment Network sites. Health utility data based on the Health Utilities Index Mark 3 (HUI3) for the child were obtained from the primary caregiver (proxy‐reported) through a survey (N = 224). During the initial clinic visit, proxy‐reported measures of the Child Behavior Checklist, Vineland II Adaptive Behavior Scales, and the Pediatric Quality of Life Inventory 4.0 (start measures) were obtained and then merged with the survey data. Nine mapping algorithms were developed using the HUI3 scores as dependent variables in ordinary least squares regressions along with the start measures, the Autism Diagnostic Observation Schedule, to measure severity, child age, and cognitive ability as independent predictors. In‐sample cross‐validation was conducted to evaluate predictive accuracy. Multiple imputation techniques were used for missing data. The average age for children with ASDs in this study was 8.4 (standard deviation = 3.5) years. Almost half of the children (47%) had cognitive impairment (IQ ≤ 70). Total scores for all of the outcome measures were significantly associated with the HUI3 score. The algorithms can be applied to clinical studies containing start measures of children with ASDs to predict QALYs gained from interventions. Autism Res 2014, 7: 649–663. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.
Autism Research – Wiley
Published: Dec 1, 2014
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.