Factors associated with the time to complete clinical exome sequencing in a pediatric patient population

Social Determinants of Genetics Referral and Completion Rates Among Pediatric Neurology Patients

BACKGROUND

To investigate clinical, social, and systems-level determinants predictive of genetics clinic referral and completion of genetics clinic visits among pediatric neurology patients.

METHODS

Electronic health record (EHR) data were extracted from pediatric patients (0-18 years) evaluated in pediatric neurology clinics at a single tertiary care institution between July 2018 and January 2020. Referral and referral completion rates to genetics clinics were compared among non-Hispanic single- or multiracial Black (Black) versus non-Hispanic White (White) patients using bivariablee analysis. Other ethnoracial identities were excluded due to small numbers. Variables associated with genetics clinic referral and visit completion were identified using logistic regressions.

RESULTS

In a cohort of 11,371 pediatric neurology patients, 304 were referred to genetics clinic and 229 (75.3%) completed genetics clinic visits. In multivariable analyses of Black and White patients (n = 10,601), genetics clinic referral rates did not differ by ethnoracial identity but were associated with younger age, rurality, neurodevelopmental disorder diagnosis, number of neurology clinic visits, and provider type. Genetics clinic visit completion rates were associated with number of neurology clinic visits and ethnoracial identity, with White patients twice as likely as Black patients to complete the visit (adjusted odds ratio=2.18; 95% confidence interval 1.06-4.48).

CONCLUSIONS

Although no disparity in genetics clinic referral rates was identified, White patients were twice as likely as Black patients to complete a genetics clinic visit after referral. Further work is needed to determine whether this is due to systemic/structural racism, differences in attitudes toward genetics, or other factors.

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

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.

Ethical and Legal Issues Surrounding Genetic Testing in the NICU

Clinicians practicing in a modern NICU are noticing an increase in the proportion of patients who undergo genetic testing as well as changes in the types of genetic testing patients receive. These trends are not surprising given the increasing recognition of the genetic causes of neonatal illness and recent advances in genetic technology. Yet, the expansion of genetic testing in the NICU also raises a number of ethical questions. In this article, we will review the ethical issues raised by genetic testing, with a focus on the practical implications for neonatologists. First, we outline the complexities of measuring benefit, or utility, for neonatal genetic testing. Next, we discuss potential harms such as inequity, unexpected findings, disability biases, and legal risks. Finally, we conclude with a discussion of ethical issues related to consent for genetic testing. Throughout this article, we highlight solutions to challenges toward the ultimate goal of minimizing harms and maximizing the substantial potential benefits of genetic medicine in the NICU.

Genomic medicine in neonatal care: progress and challenges

During the neonatal period, many genetic disorders present and contribute to neonatal morbidity and mortality. Genomic medicine-the use of genomic information in clinical care- has the potential to significantly reduce morbidity and mortality in the neonatal period and improve outcomes for this population. Diagnostic genomic testing for symptomatic newborns, especially rapid testing, has been shown to be feasible and have diagnostic and clinical utility, particularly in the short-term. Ongoing studies are assessing the feasibility and utility, including personal utility, of implementation in diverse populations. Genomic screening for asymptomatic newborns has also been studied, and the acceptability and feasibility of such an approach remains an active area of investigation. Emerging precision therapies, with examples even at the "n-of-1" level, highlight the promise of precision diagnostics to lead to early intervention and improve outcomes. To sustainably implement genomic medicine in neonatal care in an ethical, effective, and equitable manner, we need to ensure access to genetics and genomics knowledge, access to genomic tests, which is currently limited by payors, feasible processes for ordering these tests, and access to follow up in the clinical and research realms. Future studies will provide further insight into enablers and barriers to optimize implementation strategies.

Social Determinants of Genetics Referral and Completion Rates Among Child Neurology Patients

Objective

To investigate clinical, social, and systems-level determinants predictive of genetics clinic referral and completion of genetics clinic visits among child neurology patients.

Methods

Electronic health record data were extracted from patients 0-18 years old who were evaluated in child neurology clinics at a single tertiary care institution between July 2018 to January 2020. Variables aligned with the Health Equity Implementation Framework. Referral and referral completion rates to genetics and cardiology clinics were compared among Black vs White patients using bivariate analysis. Demographic variables associated with genetics clinic referral and visit completion were identified using logistic regressions.

Results

In a cohort of 11,371 child neurology patients, 304 genetics clinic referrals and 82 cardiology clinic referrals were placed. In multivariate analysis of patients with Black or White ethnoracial identity (n=10,601), genetics clinic referral rates did not differ by race, but were significantly associated with younger age, rural address, neurodevelopmental disorder diagnosis, number of neurology clinic visits, and provider type. The only predictors of genetics clinic visit completion number of neurology clinic visits and race/ethnicity, with White patients being twice as likely as Black patients to complete the visit. Cardiology clinic referrals and visit completion did not differ by race/ethnicity.

Interpretation

Although race/ethnicity was not associated with differences in genetics clinic referral rates, White patients were twice as likely as Black patients to complete a genetics clinic visit after referral. Further work is needed to determine whether this is due to systemic/structural racism, differences in attitudes toward genetic testing, or other factors.

Role of genomic medicine and implementing equitable access for critically ill infants in neonatal intensive care units

Genetic disorders are a leading cause of morbidity and mortality in infants admitted to neonatal intensive care units. This population has immense potential to benefit from genomic medicine, as early precision diagnosis is critical to early personalized management. However, the implementation of genomic medicine in neonatology thus far has arguably worsened health inequities, and strategies are urgently needed to achieve equitable access to genomics in neonatal care. In this perspective, we demonstrate the utility of genomic sequencing in critically ill infants and highlight three key recommendations to advance equitable access: recruitment of underrepresented populations, education of non-genetics providers to empower practice of genomic medicine, and development of innovative infrastructure to implement genomic medicine across diverse settings.