Factors associated with higher hemoglobin A1c and type 2 diabetes-related costs: Secondary data analysis of adults 18 to 64 in Texas with commercial insurance

Marcia G Ory, Gang Han, Sagar N Jani, Lixian Zhong, Elena Andreyeva, Keri Carpenter, Samuel D Towne, Veronica Averhart Preston and Matthew Lee Smith

PLOS ONE, 2023, vol. 18, issue 9, 1-13

Abstract: Objective: This study will identify factors associated with higher hemoglobin A1c (A1c) values and diabetes-related costs among commercially insured adults in Texas diagnosed with type 2 diabetes. Research design and methods: This secondary data analysis was based on claims data from commercially insured individuals 18–64 years of age residing in Texas with diagnosed type 2 diabetes during the 2018–2019 study period. The final analysis sample after all the exclusions consisted of 34,992 individuals. Measures included hemoglobin A1c, diabetes-related costs, Charlson Comorbidity Index, diabetes-related complications, rurality and other socioeconomic characteristics. Longitudinal A1c measurements were modeled using age, sex, rurality, comorbidity, and diabetes-related complications in generalized linear longitudinal regression models adjusting the observation time, which was one of the 8 quarters in 2018 and 2019. The diabetes-related costs were similarly modeled in both univariable and multivariable generalized linear longitudinal regression models adjusting the observation time by calendar quarters and covariates. Results: The median A1c value was 7, and the median quarterly diabetes-related cost was $120. A positive statistically significant relationship (p =

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0289491

DOI: 10.1371/journal.pone.0289491

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