Evidence map›Paper›PMID 28838582›Full record

Trial reportJournal of the American Academy of Child and Adolescent Psychiatry2017

Cost Offset Associated With Early Start Denver Model for Children With Autism.

Zuleyha Cidav, Jeff Munson, Annette Estes, Geraldine Dawson, Sally Rogers, David Mandell

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Academy of Child and Adolescent Psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
5.8field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 190 citations in OpenAlex.

  1. Pooled it
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  10. Parent Perspectives on Mobile Health Autism Screeners.Journal of autism and developmental disorders · 2026
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Zuleyha CidavCenter for Mental Health Policy and Services Research, University of Pennsylvania Perelman School of Medicine and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia. Electronic address: zcidav@upenn.edu.
Jeff MunsonUniversity of Washington, Seattle.
Annette EstesUniversity of Washington, Seattle.
Geraldine DawsonDuke Center for Autism and Brain Development, Duke University, Durham, NC.
Sally RogersMIND Institute, University of California, Davis.
David MandellCenter for Mental Health Policy and Services Research, University of Pennsylvania Perelman School of Medicine and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USDuke University · USSeattle University · USUniversity of California, Davis · USUniversity of Washington · US

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
UW Autism Research Center of ExcellenceU54MH066399 · NIMH · UNIVERSITY OF WASHINGTON · PI DAGER, STEPHEN R · 2003 to 2007
$8.3M
NICHD NIH HHS R01 HD055741NIMH NIH HHS U54 MH066399
6 · The paper itself

Abstract

objectiveTo determine the effect of the Early Start Denver Model (ESDM) for treatment of young children with autism on health care service use and costs.

methodWe used data from a randomized trial that tested the efficacy of the ESDM, which is based on developmental and applied behavioral analytic principles and delivered by trained therapists and parents, for 2 years. Parents were interviewed about their children's service use every 6 months from the onset of the intervention to follow-up (age 6 years). The sample for this study consisted of 39 children with autism who participated in the original randomized trial at age 18 to 30 months, and were also assessed at age 6 years. Of this sample, 21 children were in the ESDM group, and 18 children were in the community care (COM) group. Reported services were categorized and costed by applying unit hourly costs. Annualized service use and costs during the intervention and post intervention for the two study arms were compared.

resultsDuring the intervention, children who received the ESDM had average annualized total health-related costs that were higher by about $14,000 than those of children who received community-based treatment. The higher cost of ESDM was partially offset during the intervention period because children in the ESDM group used less applied behavior analysis (ABA)/early intensive behavioral intervention (EIBI) and speech therapy services than children in the comparison group. In the postintervention period, compared with children who had earlier received treatment as usual in community settings, children in the ESDM group used less ABA/EIBI, occupational/physical therapy, and speech therapy services, resulting in significant cost savings in the amount of about $19,000 per year per child.

conclusionCosts associated with ESDM treatment were fully offset within a few years after the intervention because of reductions in other service use and associated costs. CLINICAL TRIAL REGISTRATION INFORMATION: Early Characteristics of Autism; http://clinicaltrials.gov/; NCT0009415.

Indexed as

Autism Spectrum DisorderBehavior TherapyCommunity Health ServicesEarly Medical InterventionOutcome and Process Assessment, Health CareChildChild, PreschoolFemaleFollow-Up StudiesHealth Care CostsHumansInfantMaleautismcostearly interventionEarly Start Denver Modeluse

Identifiers

PMID28838582
PMCPMC7007927
OpenAlexW2729652352

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.