Age and Racial Disparities in Telehealth Use Among People with HIV During the COVID-19 Pandemic

Friedman, Eleanor E.; Devlin, Samantha; Gilson, Sarah; Ridgway, Jessica P

doi:10.1007/s10461-022-03607-7

Cited by 29 publications

(24 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consistent with some previous studies (Friedman et al, 2022;Jewett et al, 2022;Neeman et al, 2021;Pierce & Stevermer, 2020;Rivera et al, 2021;Sachs et al, 2021;Weber et al, 2020;Wegermann et al, 2022), we found that White patients were more likely to use telehealth than Black patients. Unfortunately, limitations of the present data do not allow us to speak to why this is the case-whether this finding reflects shared decision making between clinicians and parents, parent preferences, or clinician preferences alone.…”

Section: Discussionsupporting

confidence: 92%

“…The literature on the impact of culture on telehealth usage is inconclusive, and is limited to adult patients; however, the majority of studies suggest that White patients use telehealth services at higher rates than non-White patients. Of the 12 studies that examined telehealth use by race and ethnicity, eight found that White patients used telehealth more than non-White or Hispanic patients during the COVID-19 pandemic (Friedman et al, 2022; Jewett et al, 2022; Neeman et al, 2021; Pierce & Stevermer, 2020; Rivera et al, 2021; Sachs et al, 2021; Weber et al, 2020; Wegermann et al, 2022). All eight of these studies utilized data from medical records to examine telehealth use, and sample sizes ranged from 594 patients to 334,666 visits.…”

Section: Introductionmentioning

confidence: 99%

“…Of the studies that examined the impact of age on telehealth utilization during the COVID-19 pandemic, the majority found that older patients were less likely to use telehealth than younger patients (Jewett et al, 2022; Neeman et al, 2021; Pierce & Stevermer, 2020; Qian et al, 2021; Rivera et al, 2021; Sachs et al, 2021; Weber et al, 2020; Wegermann et al, 2022). However, one study failed to find differences by age (Hayrapetian et al, 2021) and another found younger adults (ages 31–45 years) were less likely to use telehealth than older adults (ages 40–60 years; Friedman et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Can We Expand the Pool of Youth Who Receive Telehealth Assessments for ADHD? Covariates of Service Utilization

et al. 2022

View full text Add to dashboard Cite

Background: During the COVID-19 pandemic, telehealth became widely utilized for healthcare, including psychological evaluations. However, whether telehealth has reduced or exacerbated healthcare disparities for children with Attention-Deficit/Hyperactivity Disorder (ADHD) remains unclear. Methods: Data (race, ethnicity, age, insurance type, ADHD presentation, comorbidities, and distance to clinic) for youth with ADHD ( Mage = 10.97, SDage = 3.42; 63.71% male; 51.62% White) were extracted from the medical record at an urban academic medical center. Three naturally occurring groups were compared: those evaluated in person prior to COVID-19 ( n =780), in person during COVID-19 ( n = 839), and via telehealth during COVID-19 ( n = 638). Results: Children seen via telehealth were significantly more likely to be older, White, have fewer comorbid conditions, and live farther from the clinic than those seen in person. Conclusions: The current study suggests that telehealth has not eliminated barriers to care for disadvantaged populations. Providers and institutions must take action to encourage telehealth use among these groups.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Can We Expand the Pool of Youth Who Receive Telehealth Assessments for ADHD? Covariates of Service Utilization

et al. 2022

View full text Add to dashboard Cite

show abstract

“…[10][11][12][13][14][15][16] For instance, vulnerable populations such as ethnic minorities, low-income individuals and rural residents were less probable to use telehealth services, even after expanding coverage. [17][18][19][20][21][22][23] These disparities could be attributed to limited technological access in vulnerable populations. 18,[24][25][26] Louisiana has a high incidence of T2D and a significant proportion of low-income individuals enrolled in Medicaid.…”

Section: Introductionmentioning

confidence: 99%

Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes

Shao

Shi

Nauman

et al. 2023

Diabetes Obesity Metabolism

View full text Add to dashboard Cite

Aim: To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 pandemic and identify factors related to telehealth use. Methods:We compared monthly proportions of outpatient visits delivered by telehealth by race/ethnicity, geography and age among Louisiana Medicaid beneficiaries with T2D using claims data from January 2018 to August 2021. We also examined the changes in provider types delivering telehealth. Multivariable logistic regression was conducted to identify individual level and zip code-level factors associated with telehealth use during the COVID-19 pandemic. Results:The monthly proportion of outpatient visits delivered by telehealth was low (< 1%) before the pandemic, spiked in April 2020 (> 15%), then remained at approximately 5%. Telehealth use varied across different racial/ethnic groups, geography and age groups over years. Older beneficiaries were less probable to use telehealth during the pandemic (adjusted odds ratio [AOR] = 0.874, 95% confidence interval[CI]: 0.831-0.919). Females used more telehealth than males (AOR = 1.359, 95% CI:1.298-1.423). Black beneficiaries used more telehealth than White beneficiaries (AOR = 1.067, 95% CI: 1.000-1.139). More telehealth services were used by Medicaid beneficiaries who were living in urban areas, with more primary care utilization, and with more chronic conditions at baseline. Conclusions:We found disparities in the uptake of telehealth during the COVID-19 pandemic, but they might have been narrowed for some groups (Hispanic and rural) among Louisiana Medicaid beneficiaries with T2D. Future studies should explore strategies to improve access to telehealth services and reduce related disparities for the low-income population.

show abstract

“…With the onset of the COVID-19 pandemic in early 2020, HIV care delivery across the United States drastically changed. In-person HIV care appointments were cancelled, and HIV clinics rapidly scaled up telehealth appointments in an attempt to provide continuity of HIV care while protecting PWH from exposure to COVID-19 [6][7][8][9]. It is unclear how these changes in HIV care delivery during the COVID-19 pandemic have impacted traditional measures of retention in care, although some have already proposed including telehealth in retention measures [10,11].…”

Section: Introductionmentioning

confidence: 99%

Measuring Retention in HIV Care in the First Year of the COVID-19 Pandemic: The Impact of Telehealth

et al. 2022

Self Cite

View full text Add to dashboard Cite

It is unknown how the COVID-19 pandemic impacted traditional measures of retention in HIV care. We calculated six different retention measures at an urban HIV care clinic for two time periods: pre-pandemic, and during the first year of the COVID-19 pandemic, with and without inclusion of telehealth appointments. Spearman rank correlation was used to assess correlation between different measures of retention. For both the pre-pandemic and pandemic time periods, there was strong correlation among measures of missed visits (range 0.857–0.957). More patients were considered retained in care during the pandemic when telehealth appointments were included in the analysis.

show abstract

Age and Racial Disparities in Telehealth Use Among People with HIV During the COVID-19 Pandemic

Cited by 29 publications

References 29 publications

Can We Expand the Pool of Youth Who Receive Telehealth Assessments for ADHD? Covariates of Service Utilization

Can We Expand the Pool of Youth Who Receive Telehealth Assessments for ADHD? Covariates of Service Utilization

Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes

Measuring Retention in HIV Care in the First Year of the COVID-19 Pandemic: The Impact of Telehealth

Contact Info

Product

Resources

About