Evidence map›Paper›PMID 25255789›Full record

ArticleAutism research : official journal of the International Society for Autism Research2014

Predicting health utilities for children with autism spectrum disorders.

Nalin Payakachat, J Mick Tilford, Karen A Kuhlthau, N Job van Exel, Erica Kovacs, Jayne Bellando, Jeffrey M Pyne, Werner B F Brouwer

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Application of validated mapping algorithms between generic PedsQL scores and utility values to individuals with sickle cell disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  12. Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Article
  13. Mapping PedsQLQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  14. Article
  15. Article
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  19. Preferred reporting items for studies mapping onto preference-based outcome measures: the MAPS statement.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    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.

Nalin PayakachatDivision of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
J Mick Tilford
Karen A Kuhlthau
N Job van Exel
Erica Kovacs
Jayne Bellando
Jeffrey M Pyne
Werner B F Brouwer

Funding

Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
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
Mapping Clinical Outcomes to Preference-based Measures from the NDAR DatabaseR03MH102495 · NIMH · UNIV OF ARKANSAS FOR MED SCIS · PI PAYAKACHAT, NALIN · 2014 to 2015
$149k
NCATS NIH HHS UL1TR000039NIMH NIH HHS R01 MH089466NIMH NIH HHS R01MH089466NIMH NIH HHS R03 MH102495NIMH NIH HHS R03MH102495PHS HHS UA3MC11054
6 · The paper itself

Abstract

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.

Indexed as

AdolescentAlgorithmsArkansasChildChild BehaviorChild Development Disorders, PervasiveChild, PreschoolFemaleHumansMaleOutcome Assessment, Health CareQuality-Adjusted Life YearsQuality of Lifeautismbehavioral measureclinical measureequating measurehealth utilitiesmappingpredictive algorithmsquality of life measure

Identifiers

PMID25255789
PMCPMC4270935

What OpenQuestion holds

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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.