Association of Social Determinants of Health With Genetic Test Request and Completion Rates in Children With Neurologic Disorders.

IF 7.7 1区 医学 Q1 CLINICAL NEUROLOGY
Neurology Pub Date : 2025-03-11 Epub Date: 2025-02-12 DOI:10.1212/WNL.0000000000210275
Jordan Janae Cole, Jonathan P Williams, Angela D Sellitto, Laura Rosa Baratta, Julia B Huecker, Dustin Baldridge, Thomas Kannampallil, Christina A Gurnett, Joyce E Balls-Berry
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引用次数: 0

Abstract

Background and objectives: Genetic testing is critical for optimal diagnosis and management of pediatric neurology patients, but access is challenging. We investigated whether social determinants of health (SDOH) were associated with genetic testing among pediatric neurology patients in a retrospective observational study.

Methods: Electronic health record data were extracted from pediatric outpatients (0-18 years) evaluated at a single tertiary care institution between July 2018 and January 2020. Genetic testing requests, insurance denials, and test completion rates were compared among non-Hispanic single-racial or multiracial Black (Black) vs non-Hispanic single-racial White (White) patients. SDOH and clinical variables including ethnoracial identity, insurance type, Area Deprivation Index, rural urban commuting area, sex, age, diagnoses, and number of neurology visits were evaluated to identify associations with chromosomal microarray (CMA), multigene panel (MGP), and exome/genome sequencing (ES/GS) test completion.

Results: Of 11,371 patients (mean age 9.25 years; 46.1% female), 554 (4.9%) completed ≥1 genetic test in the study interval, with White patients nearly twice as likely to have completed ≥1 genetic test compared with Black patients (aOR 1.88, 95% CI 1.41-2.51). Outpatient pediatric neurology was the most common specialty through which testing was completed. Neurology provider request rates for genetic testing did not differ by patient ethnoracial identity, but insurance denial rates after neurology request were lower for White vs Black patients (relative rate ratio [RR] 0.44, 95% CI 0.27-0.73), and those with public insurance were less likely to complete genetic testing after it was requested through neurology (aOR 0.59, 95% CI 0.35-0.97). However, when considering individual genetic test types completed through any specialty, insurance type was significantly associated only with MGP completion (public vs private OR 0.56, 95% CI 0.40-0.77), not CMA or ES/GS.

Discussion: Marked ethnoracial disparities in genetic testing completion were identified despite equivalent rates of genetic testing requests by neurologists. While Black patients had higher rates of insurance denials, insurance type itself accounted for the disparity in MGP but not CMA or ES/GS completion. Other unmeasured barriers stemming from systemic racism likely affected genetic testing among Black patients.

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来源期刊
Neurology
Neurology 医学-临床神经学
CiteScore
12.20
自引率
4.00%
发文量
1973
审稿时长
2-3 weeks
期刊介绍: Neurology, the official journal of the American Academy of Neurology, aspires to be the premier peer-reviewed journal for clinical neurology research. Its mission is to publish exceptional peer-reviewed original research articles, editorials, and reviews to improve patient care, education, clinical research, and professionalism in neurology. As the leading clinical neurology journal worldwide, Neurology targets physicians specializing in nervous system diseases and conditions. It aims to advance the field by presenting new basic and clinical research that influences neurological practice. The journal is a leading source of cutting-edge, peer-reviewed information for the neurology community worldwide. Editorial content includes Research, Clinical/Scientific Notes, Views, Historical Neurology, NeuroImages, Humanities, Letters, and position papers from the American Academy of Neurology. The online version is considered the definitive version, encompassing all available content. Neurology is indexed in prestigious databases such as MEDLINE/PubMed, Embase, Scopus, Biological Abstracts®, PsycINFO®, Current Contents®, Web of Science®, CrossRef, and Google Scholar.
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