Prevalence of clinician-ordered genetic testing in rural and urban United States counties: An analysis of the 2022 Health Information National Trends Survey
Objective: Rural residents face challenges to realizing guideline-concordant healthcare. Less is known about the role of rurality in achieving guideline-concordant genetic testing. To address this gap, we estimated the association between rural residence and two types of clinician-ordered genetic te...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Preventive Medicine Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211335525002025 |
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| Summary: | Objective: Rural residents face challenges to realizing guideline-concordant healthcare. Less is known about the role of rurality in achieving guideline-concordant genetic testing. To address this gap, we estimated the association between rural residence and two types of clinician-ordered genetic testing among individuals who had heard of genetic testing. Methods: In 2024, we considered the 4559 individuals (80.0 % of respondents) who indicated that they had heard of genetic testing in the cross-sectional Health Information National Trends Survey wave 6, collected in the United States, March 7 – November 8, 2022, to assess the association between rurality and two types of clinician-ordered genetic testing, reproductive carrier and disease risk testing. Log binomial regression models estimated the prevalence ratios of two types of guideline-concordant clinician-ordered genetic testing while adjusting for sociodemographic characteristics. Results: Of the 4559 respondents assessed for eligibility, 976 and 3933 responses were eligible for analysis of clinician-ordered reproductive genetic carrier testing and disease risk testing, respectively. The prevalence of clinician-ordered reproductive carrier and disease risk genetic testing did not vary by rurality in adjusted multivariable regression analyses (adjusted prevalence ratio (aPR): 0.71, 95 % CI 0.38–1.33, aPR: 1.23, 95 % CI 0.86–1.75, respectively). Post hoc we identified significant differences in different covariate aPRs in both types of clinician-ordered genetic testing. Conclusions: Clinician-ordered genetic testing does not appear to be associated with geography among individuals who have heard of genetic testing. Post hoc differences in factors associated with each type of testing suggest pathways by which the differences in use may occur. |
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| ISSN: | 2211-3355 |