A State Profile of Disparities in Telehealth Utilization Among Medicare Beneficiaries: An Intersection Between Race/Ethnicity, Rurality, and Chronic Conditions-Arkansas, 2019

被引:1
作者
Bogulski, Cari A. A. [1 ,2 ]
Acharya, Mahip [2 ]
Pro, George [3 ]
Ali, Mir M. M. [2 ]
Rabbani, Maysam [4 ]
Hayes, Corey J. J. [1 ,2 ,5 ]
Eswaran, Hari [2 ]
机构
[1] Univ Arkansas Med Sci, Coll Med, Dept Biomed Informat, Little Rock, AR 72205 USA
[2] Univ Arkansas Med Sci, Inst Digital Hlth & Innovat, Coll Med, 4301 West Markham Slot 518, Little Rock, AR 72205 USA
[3] Univ Arkansas Med Sci, Coll Publ Hlth, Dept Hlth Behav & Hlth Educ, Little Rock, AR 72205 USA
[4] Montclair State Univ, Feliciano Sch Business, Dept Econ, Montclair, NJ USA
[5] Cent Arkansas Vet Healthcare Syst, Ctr Mental Healthcare & Outcomes Res, North Little Rock, AR USA
关键词
telehealth; Medicare; chronic conditions; health equity; rural; health disparities; HEALTH-CARE; COVID-19; ACCESS; TELEMEDICINE; BARRIERS; EQUITY;
D O I
10.1089/tmj.2023.0012
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Introduction: The COVID-19 pandemic brought about renewed interest and investment in telehealth, while also highlighting persistent health disparities in the Southern states. Little is known about the characteristics of those utilizing telehealth services in Arkansas, a rural Southern state. We sought to compare the characteristics of telehealth utilizers and nonutilizers among Medicare beneficiaries in Arkansas before the COVID-19 public health emergency to provide a baseline for future research investigating disparities in telehealth utilization.Methods: We used Arkansas Medicare beneficiary data (2018-2019) to model telehealth use. We included interactions to assess how the association between the number of chronic conditions and telehealth was moderated by race/ethnicity and rurality, adjusted for covariates.Results: Overall telehealth utilization in 2019 was low (n = 4,463; 1.1%). The adjusted odds of utilizing telehealth was higher for non-Hispanic Black/African Americans (vs. white, adjusted odds ratio [aOR] = 1.34, 95% confidence interval [CI] = 1.17-1.52), rural beneficiaries (aOR = 1.99, 95% CI = 1.79-2.21), and those with more chronic conditions (aOR = 1.23, 95% CI = 1.21-1.25). Race/ethnicity and rurality were significant moderators, such that the association between the number of chronic conditions and telehealth was strongest among white and among rural beneficiaries.Discussion: Among the 2019 Arkansas Medicare beneficiaries, having more chronic conditions was most strongly associated with telehealth use among white and rural individuals, while the effect was not as pronounced for Black/African American and urban individuals. Our findings suggest that advances in telehealth are not benefiting all Americans equally, with aging minoritized communities continuing to engage with more strained and underresourced health systems. Future research should investigate how upstream factors such as structural racism perpetuate poor health outcomes.
引用
收藏
页码:1759 / 1768
页数:10
相关论文
共 46 条
[11]  
Definitive Healthcare, 2022, TOP 20 TEL DIAGN 202
[12]  
DePietro A, 2023, FORBES
[13]   Exposing some important barriers to health care access in the rural USA [J].
Douthit, N. ;
Kiv, S. ;
Dwolatzky, T. ;
Biswas, S. .
PUBLIC HEALTH, 2015, 129 (06) :611-620
[14]   Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey [J].
Edwards, Louisa ;
Thomas, Clare ;
Gregory, Alison ;
Yardley, Lucy ;
O'Cathain, Alicia ;
Montgomery, Alan A. ;
Salisbury, Chris .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2014, 16 (05) :154-169
[15]   "Can you see my screen?" Addressing Racial and Ethnic Disparities in Telehealth [J].
Haynes, Norrisa ;
Ezekwesili, Agnes ;
Nunes, Kathryn ;
Gumbs, Edvard ;
Haynes, Monique ;
Swain, JaBaris .
CURRENT CARDIOVASCULAR RISK REPORTS, 2021, 15 (12)
[16]  
Health Resources and Services Administration, 2018, DES HLTH PROF SHORT
[17]  
Henry J., 2023, STATE HLTH FACTS
[18]   Access, Equity, and Neutral Space: Telehealth Beyond the Pandemic [J].
Kaplan, Ben .
ANNALS OF FAMILY MEDICINE, 2021, 19 (01) :75-78
[19]  
Kichloo Asim, 2020, Fam Med Community Health, V8, DOI 10.1136/fmch-2020-000530
[20]  
Martin-Khan M, 2017, HUM-COMPUT INT-SPRIN, P173, DOI 10.1007/978-3-319-60672-9_8