Evidence map›Paper›PMID 22788258›Full record

ArticlePharmacoEconomics2012

Preference-based health-related quality-of-life outcomes in children with autism spectrum disorders: a comparison of generic instruments.

J Mick Tilford, Nalin Payakachat, Erica Kovacs, Jeffrey M Pyne, Werner Brouwer, Todd G Nick, Jayne Bellando, Karen A Kuhlthau

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in PharmacoEconomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
24.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. Measuring quality of life in autistic children and young people: comparing the performance of common generic health related quality of life instruments.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. A comparison of the Child Health Utility 9D and the Health Utilities Index for estimating health utilities in pediatric inflammatory bowel disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

J Mick TilfordDepartment of Health Policy and Management, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA. tilfordmickj@uams.edu
Nalin Payakachat
Erica Kovacs
Jeffrey M Pyne
Werner Brouwer
Todd G Nick
Jayne Bellando
Karen A Kuhlthau
University of Arkansas for Medical Sciences · USColumbia University Irving Medical Center · USErasmus University Rotterdam · NLHarvard University · US

Funding

Measuring quality adjusted life years in children with autism spectrum disordersR01MH089466 · NIMH · UNIV OF ARKANSAS FOR MED SCIS · PI KUHLTHAU, KAREN A, TILFORD, JOHN M · 2009 to 2010
$976k
Autism Speaks AS1954NIMH NIH HHS R01 MH089466NIMH NIH HHS R01MH089466PHS HHS UA3MC11054
6 · The paper itself

Abstract

backgroundCost-effectiveness analysis of pharmaceutical and other treatments for children with autism spectrum disorders (ASDs) has the potential to improve access to services by demonstrating the value of treatment to public and private payers, but methods for measuring QALYs in children are under-studied. No cost-effectiveness analyses have been undertaken in this population using the cost-per-QALY metric.

objectiveThis study describes health-related quality-of-life (HR-QOL) outcomes in children with ASDs and compares the sensitivity of two generic preference-based instruments relative to ASD-related conditions and symptoms.

methodsThe study design was cross-sectional with prospectively collected outcome data that were correlated with retrospectively assessed clinical information. Subjects were recruited from two sites of the Autism Treatment Network (ATN) in the US: a developmental centre in Little Rock, Arkansas, and an outpatient psychiatric clinic at Columbia University Medical Center in New York. Children that met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for an ASD by a multidisciplinary team evaluation were asked to participate in a clinical registry. Families of children with an ASD that agreed to be contacted about participation in future research studies as part of the ATN formed the sampling frame for the study. Families were included if the child with the ASD was between 4 and 17 years of age and the family caregiver spoke English. Eligible families were contacted by mail to see if they would be interested in participating in the study with 150 completing surveys. HR-QOL outcomes were described using the Health Utilities Index (HUI) 3 and the Quality of Well-Being Self-Administered (QWB-SA) scale obtained by proxy via the family caregiver.

resultsChildren were diagnosed as having autistic disorder (76%), pervasive developmental disorder-not otherwise specified [PDD-NOS] (15%), and Asperger's disorder (9%). Average HUI3 and QWB-SA scores were 0.68 (SD 0.21, range 0.07-1) and 0.59 (SD 0.16, range 0.18-1), respectively. The HUI3 score was significantly correlated with clinical variables including adaptive behaviour (ρ = 0.52; p < 0.001) and cognitive functioning (ρ = 0.36; p < 0.001). The QWB-SA score had weak correlation with adaptive behaviour (ρ = 0.25; p < 0.001) and cognitive functioning (ρ = 0.17; p < 0.005). Change scores for the HUI3 were larger than the QWB-SA for all clinical measures. Scores for the HUI3 increased 0.21 points (95% CI 0.14, 0.29) across the first to the third quartile of the cognitive functioning measure compared with 0.05 (95% CI -0.01, 0.11) for the QWB-SA. Adjusted R2 values also were higher for the HUI3 compared with the QWB-SA across all clinical measures.

conclusionsThe HUI3 was more sensitive to clinical measures used to characterize children with autism compared with the QWB-SA score. The findings provide a benchmark to compare scores obtained by alternative methods and instruments. Researchers should consider incorporating the HUI3 in clinical trials and other longitudinal research studies to build the evidence base for describing the cost effectiveness of services provided to this important population.

Indexed as

Quality-Adjusted Life YearsQuality of LifeAdolescentArkansasChildChild Development Disorders, PervasiveChild, PreschoolCross-Sectional StudiesData CollectionFemaleHumansMaleNew YorkOutcome Assessment, Health CareProspective StudiesRetrospective Studies

Identifiers

PMID22788258
PMCPMC3423960
OpenAlexW2030080215

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.