Evidence map›Paper›PMID 39777698›Full record

ArticleApplied health economics and health policy2025

Genetic Test Utilization and Cost among Families of Children Evaluated for Genetic Conditions: An Analysis of USA Commercial Claims Data.

Hadley Stevens Smith, Matthew Lakoma, Madison R Hickingbotham, Dawn Cardeiro, Katharine P Callahan, Monica H Wojcik, Ann Chen Wu, Christine Y Lu

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Use of Family Relationships in Commercial Claims Data to Characterize Clinical Events of Patients withAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  2. Article
  3. 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.

Hadley Stevens SmithDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA, 02215, USA. hadley_smith@hphci.harvard.edu.ORCID 0000-0003-1247-6535
Matthew LakomaDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA, 02215, USA.
Madison R HickingbothamDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA, 02215, USA.ORCID 0000-0002-4536-4313
Dawn CardeiroPoint32Health, Canton, MA, USA.
Katharine P CallahanThe Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Monica H WojcikHarvard Medical School, Boston, MA, USA.
Ann Chen WuDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA, 02215, USA.
Christine Y LuDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA, 02215, USA.

Funding

Heterogeneity of preferences for and outcomes of pediatric genomic sequencing by race and ethnicityR00HG011491 · NHGRI · HARVARD PILGRIM HEALTH CARE, INC. · PI SMITH, HADLEY STEVENS · 2023 to 2025
$814k
NHGRI NIH HHS R00 HG011491NHGRI NIH HHS R00HG011491
6 · The paper itself

Abstract

introductionHealthcare payers in the USA increasingly cover genetic testing, including exome sequencing (ES), for pediatric indications. Analysis of claims data enables understanding of utilization and costs in real-world settings. The objective of this study was to describe genetic test utilization, diagnostic outcomes, and costs for children who received ES as well as for those who received less comprehensive forms of genetic testing, along with their families. PATIENTS AND

methodsWe analyzed linked family claims data for commercially insured members of a large regional health plan. The sample included children younger than 18 years of age who had at least 1 year of continuous plan enrollment and at least one claim for genetic testing from 2016 to 2022, as well as their family members. We compared outcomes for children who ever had a claim for ES (ES cohort) with those for children who had claims for only less comprehensive genetic testing (other genetic testing (OGT) cohort). We evaluated the frequency of ICD-10 codes indicating genetic diagnoses, health care utilization, and out-of-pocket costs in relation to the timing of the index genetic test using t-tests and inverse-probability-of-treatment weighted regression models to control for observable clinical and demographic characteristics associated with type of testing received.

resultsOur sample included 182 children (mean comorbidity index 4.78) in the ES cohort and 1789 children in the OGT cohort (3.63; p < 0.001). ES led to an average of 1.44 (95% confidence interval [CI] 0.67-2.20) more new genetic diagnostic codes after testing than OGT. A larger proportion of the proband's family members had subsequent genetic testing in the ES cohort (mean 33.3%) than in the OGT cohort (0.5%; p < 0.001), but no differences in the number of new genetic diagnoses in family members were observed. Out-of-pocket costs for genetic testing did not differ between the two cohorts stratified by clinical severity.

conclusionsIn our sample of commercially insured pediatric patients, claims for ES were less frequent and occurred among children with more clinical complexity than those for less comprehensive genetic testing. Children in the ES cohort had a higher number of new genetic diagnoses post-testing than those in the OGT cohort with no significant differences in out-of-pocket cost of testing to families. Our findings suggest that ES is being reimbursed for children who may be difficult to diagnose.

Indexed as

Genetic Diseases, InbornGenetic TestingPatient Acceptance of Health CareAdolescentChildChild, PreschoolExome SequencingFemaleHealth ExpendituresHumansInfantInsurance Claim ReviewMaleUnited States

Identifiers

PMID39777698
PMCPMC12721438

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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.