Telemedicine Use by Age in Louisiana Medicaid During COVID-19: Claims-Based Longitudinal Analysis.

BACKGROUND: Limited availability of in-person health care services and fear of contracting COVID-19 during the pandemic promoted an increased reliance on telemedicine. However, long-standing inequities in telemedicine due to unequal levels of digital literacy and internet connectivity among different age groups raise concerns about whether the uptake of telemedicine has exacerbated or alleviated those inequities. OBJECTIVE: The aim of this study is to examine changes in telemedicine and in-person health service use during the COVID-19 pandemic across age groups for Medicaid beneficiaries in the state of Louisiana. METHODS: Interrupted time series models were used on Louisiana Medicaid claims data to estimate trends in total, in-person, and telemedicine monthly office visit claims per 1000 Medicaid beneficiaries between January 2018 and December 2020. Changes in care pattern trends and levels were estimated around the infection peaks (April 2020 and July 2020) and for an end-of-year infection leveling off period (December 2020). Four mutually exclusive age categories (0 to 17, 18 to 34, 35 to 49, and 50 to 64 years) were used to compare the differences. RESULTS: Prior to the COVID-19 pandemic, telemedicine services accounted for less than 1% of total office visit claim volume across the age groups. Each age group followed similar patterns of sharp increases in April 2020, downward trends until sharp increases again in July 2020, followed by flat trends thereafter until December 2020. These sharp increases were most pronounced for older patients, with those aged 50 to 64 years seeing increases of 184.09 telemedicine claims per 1000 Medicaid beneficiaries in April 2020 (95% CI 172.19 to 195.99) and 120.81 in July 2020 (95% CI 101.32 to 140.31) compared with those aged 18 to 34 years, seeing increases of 84.47 (95% CI 78.64 to 90.31) and 57.00 (95% CI 48.21 to 65.79), respectively. This resulted in overall changes from baseline to December 2020 levels of 123.65 (95% CI 112.79 to 134.51) for those aged 50 to 64 years compared with 59.07 (95% CI 53.89 to 64.24) for those aged 18 to 34 years. CONCLUSIONS: Older Medicaid beneficiaries in Louisiana had higher rates of telemedicine claim volume during the COVID-19 pandemic compared with younger beneficiaries.

Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic led to an increased reliance on telemedicine. Whether this exacerbated existing disparities within vulnerable populations is not yet known. OBJECTIVES: Characterize changes in outpatient telemedicine evaluation and management (E&M) services for Louisiana Medicaid beneficiaries by race, ethnicity, and rurality during the COVID-19 pandemic. RESEARCH DESIGN: Interrupted time series regression models estimated pre-COVID-19 trends and changes in E&M service use at the April and July 2020 peaks in COVID-19 infections in Louisiana and in December 2020 after those peaks had subsided. SUBJECTS: Louisiana Medicaid beneficiaries continuously enrolled between January 2018 and December 2020 who were not also enrolled in Medicare. MEASURES: Monthly outpatient E&M claims per 1000 beneficiaries. RESULTS: Prepandemic differences in service use between non-Hispanic White and non-Hispanic Black beneficiaries narrowed by 34% through December 2020 (95% CI: 17.6%-50.6%), while differences between non-Hispanic White and Hispanic beneficiaries increased by 10.5% (95% CI: 0.1%-20.7%). Non-Hispanic White beneficiaries used telemedicine at higher rates than non-Hispanic Black (difference=24.9 claims per 1000 beneficiaries, 95% CI: 22.3-27.4) and Hispanic beneficiaries (difference=42.3 claims per 1000 beneficiaries, 95% CI: 39.1-45.5) during the first wave of COVID-19 infections in Louisiana. Telemedicine use increased slightly for rural beneficiaries compared with urban beneficiaries (difference=5.3 claims per 1000 beneficiaries, 95% CI: 4.0-6.6). CONCLUSIONS: The COVID-19 pandemic narrowed gaps in outpatient E&M service use between non-Hispanic White and non-Hispanic Black Louisiana Medicaid beneficiaries, though gaps in telemedicine use emerged. Hispanic beneficiaries experienced large reductions in service use and relatively small increases in telemedicine use.

Comparison of Screening Mammogram Rates Before vs During the COVID-19 Pandemic Among Medicaid Beneficiaries in Louisiana.

This cohort study investigates differences in screening mammography before vs during the COVID-19 pandemic by race and ethnicity among Medicaid beneficiaries in Louisiana.

Pre-COVID-19 Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries.

Background: We examine trends in telemedicine use by race, geography, and age among Louisiana Medicaid beneficiaries in the months preceding the COVID-19 pandemic. Methods: Using Louisiana Medicaid claims data from January 2018 through February 2020, we calculated a relative ratio of telemedicine use as the share of telemedicine claims by race, age, and geography and conducted two-sample t-tests. Results: In 2018, White beneficiaries used telemedicine at a relative ratio of 1.92 compared with Black beneficiaries (p < 0.001) and 2.02 compared with Hispanic beneficiaries (p < 0.001). Rural beneficiaries used telemedicine at a relative ratio of 1.27 (p < 0.001) compared with urban beneficiaries. Children and adolescents used telemedicine at a higher rate than other age groups. Racial and geographic disparities narrowed in the first months of 2020. Conclusions: Telemedicine use in Louisiana Medicaid was low but growing before the pandemic with narrowing disparities by race and geography and emerging disparities by age.

COVID-19 and Routine Childhood and Adolescent Immunizations: Evidence from Louisiana Medicaid.

The COVID-19 pandemic disrupted routine vaccinations for children and adolescents. However, it remains unclear whether the impact has been different for children and adolescents from low-income families. To address this, we compared monthly routine vaccination use per 1000 vaccine-eligible children and adolescents enrolled in Louisiana Medicaid in the years before (2017-2019) and during the COVID-19 pandemic (2020). Compared to the 2017-2019 average vaccination rates, we found a 28% reduction in measles, mumps, and rubella (MMR), a 35% reduction in human papillomavirus (HPV), and a 30% reduction in tetanus, diphtheria, pertussis (Tdap) vaccinations in 2020. Vaccine uptake was lower in April 2020 after the declaration of a state of emergency and in late summer when back-to-school vaccinations ordinarily occur. We found little evidence of recovery in later months. Our findings suggest that a substantial number of disadvantaged children may experience longer periods of vulnerability to preventable infections because of missed vaccinations.

Associations Between Individual Demographic Characteristics And Involuntary Health Care Delays As A Result Of COVID-19.

The COVID-19 pandemic has disrupted access to medical care for millions of Americans, yet information on the individual characteristics associated with these disruptions is lacking. We used recently released data from the Current Population Survey's supplemental COVID-19 questions to provide the first evidence on associations between individual characteristics, including age, sex, race/ethnicity, education, health status, work-limiting disabilities, health insurance coverage, and employment, and the propensity to experience an involuntary care disruption resulting from the COVID-19 pandemic. Involuntary care disruption is defined as delayed or cancelled care that was not initiated by the patient. Results indicate that older age, being in fair or poor health, greater education, and having health insurance coverage were associated with greater likelihood of experiencing an involuntary delay in accessing medical care. In addition, White, non-Hispanic respondents had higher rates of involuntary care delays than respondents of other races/ethnicities. Our findings provide useful guidance for researchers examining the health consequences of COVID-19-related care disruptions and for policy makers developing tools to offset the potential harms of such disruptions.