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

Early Implementation of a Regional Telehealth Contingency Staffing Program and Primary Care Quality in the Veterans Health Administration: Evidence from the Clinical Resource Hub program

BACKGROUND

The Veterans Health Administration (VHA) launched the Clinical Resource Hub (CRH) program to address primary care staffing deficits and improve access.

OBJECTIVE

To determine if the quality of primary care at clinics that use CRH services was similar to that of clinics that did not. Secondarily, to examine this association for clinics that serve a high proportion of minority Veterans.

DESIGN

A quasi-experimental study using VHA administrative data from October 2017 through September 2021. We applied interrupted time series models to estimate changes in primary care quality measures associated with CRH utilization. Results are reported as percentages.

PARTICIPANTS

National cohort of 107 propensity-matched VHA clinics that did and did not use CRH primary care services INTERVENTION(S): CRH primary care services MAIN MEASURE(S): Chronic disease quality measures KEY RESULTS: For diabetes quality measures, we found similar results between CRH-utilizing clinics and their controls, including annual HbA1c screening (0.0% percentage difference (-1.0%, 1.0%), p = 0.640), poor HbA1c control (-1.0% (-1.0%, 0.0%), p=0.111), control of blood pressure for Veterans with diabetes (1.0% (-0.0%, 3.0%), p=0.095), statin therapy for Veterans with diabetes (1.0% (0.0%, 1.0%), p=0.003), statin adherence for Veterans with diabetes (0.0% (-1.0%, 0.0%), p=0.292), and nephropathy screening (1.0% (0.0%, 1.0%), p=0.010). There were no differences between clinic groups for control of blood pressure (1.0% (-1.0%, 2.0%), p=0.382). For cardiovascular quality measures, including statin therapy for Veterans with cardiovascular disease (0.0% (-1.0%, 2.0%), p=0.348), and statin adherence for Veterans with cardiovascular disease (-1.0% (-3.0%, 1.0%), p=0.467), we found no differences between clinic groups. Similar results were found among clinics that serve a high proportion of minority Veterans.

CONCLUSIONS

We found that quality measures at CRH-utilizing clinics are similar to matched comparator clinics. These findings demonstrate that telehealth interventions, like CRH, can improve access to primary health care in a variety of settings, without impacting the quality of primary care.

Patient perceptions and predictors of intention to use telehealth for follow-up care: a mixed methods study among adults living with HIV in Kampala, Uganda

BACKGROUND

The human immunodeficiency virus (HIV) remains a significant global public health challenge. Despite progress in addressing the pandemic, people living with HIV continue to report challenges in accessing HIV testing, care, and treatment services. Telehealth presents a promising solution to some of these barriers. However, its potential remains unrealized, particularly in low- and middle-income settings, partly due to insufficient supporting evidence.

METHODS

Our mixed methods study investigated patient perceptions and predictors of intention to use telehealth for follow-up HIV care in Uganda. Quantitative data were collected from 266 participants using a questionnaire, followed by one-on-one interviews with 12 people living with HIV. Quantitative analysis involved Chi-square tests, t-tests, and binary logistic regression, while qualitative data were analyzed using conventional content analysis.

RESULTS

Our findings show that the intention to use telehealth was significantly associated with effort expectancy (aOR 1.26, CI 1.13-1.41), facilitating conditions (aOR 1.44, CI 1.19-1.73), estimated monthly income (aOR 2.94, CI 1.05-8.23; aOR 7.29, CI 1.12-47.49), and antiretroviral medication adherence (aOR 1.93, CI 1.12-3.33). Qualitative insights underscore the importance of digital literacy and availability of support services to enhance the utilization of telehealth. While performance expectation and stigma score did not significantly predict intention to use telehealth, participants perceived telehealth to be beneficial in combating stigma and improving access to HIV care services.

CONCLUSIONS

To optimize the utilization of telehealth, we recommend measures aimed at addressing economic disparities and enhancing digital literacy among people living with HIV. Future research should explore the effectiveness of economic empowerment programs in promoting telehealth use and investigate the impact of telehealth on HIV care models, stigma reduction, and linkage and retention in HIV care.

Telemedicine Use During the COVID-19 Pandemic in 8 Countries From the International Sexual Health and Reproductive Health Consortium: Web-Based Cross-Sectional Survey Study

BACKGROUND

Telemedicine is an important way to fill in the access gap to in-person health care services during challenging times like pandemics.

OBJECTIVE

This study aimed to investigate the role that telemedicine played during the COVID-19 pandemic by multicountry comparison of the use of telemedicine prior to and during the pandemic.

METHODS

This study analyzes data from the second wave of the International Sexual Health and Reproductive Health study. This included data collected between April 2021 and July 2022 in 8 countries, including Armenia (n=296), Egypt (n=889), Germany (n=138), Moldova (n=311), Nigeria (n=205), Portugal (n=951), Singapore (n=13), and Spain (n=54). This study covered sociodemographics, sexual and reproductive health (SRH), and telemedicine use. Descriptive statistics and multilevel modeling were used to assess the factors influencing the use of telemedicine.

RESULTS

Overall, 2857 participants were recruited. Approximately 57.6% (n=1646) of participants had never used telemedicine prior to COVID-19 measures, while 45.9% (n=1311) of participants required health care but reported not using telemedicine services following the introduction of COVID-19 measures. In high-income countries, the most common mode reported was audio-based telemedicine services, with 283 (71.8%) and 417 (73.5%) participants doing so before and during COVID-19, respectively. This was followed by text-based telemedicine services, with 152 (38.6%) and 173 (30.5%) participants doing so before and during COVID-19, respectively. In low- to middle-income countries, many participants also reported using audio-based telemedicine services, with 288 (35.3%) and 237 (40.8%) participants doing so before and during COVID-19, respectively. This was followed by chat-based telemedicine services, with 265 (32.4%) and 217 (37.3%) participants doing so before and during COVID-19, respectively. Multilevel modeling revealed that those who were older (adjusted odds ratio [aOR] 0.99, 95% CI 0.99-1.00) and were in countries with a higher gross domestic product per capita (aOR 0.99, 95% CI 0.98-1.00) were less likely to have ever used telemedicine. Participants who were of male sex assigned at birth (aOR 0.79, 95% CI 0.65-0.96) were less likely to use telemedicine during the pandemic. Participants who perceived that they were worse off financially were more likely to have switched to telemedicine during COVID-19 (aOR 1.39, 95% CI 1.02-1.89) and were more likely to report having a poor or fair experience of telemedicine services (aOR 1.75, 95% CI 1.34-2.29). When sexual orientation was included in the model, nonheterosexual individuals were more likely to ever use telemedicine prior to COVID-19 (aOR 1.35, 95% CI 1.08-1.69), more likely to have used telemedicine during COVID-19 (aOR 1.58, 95% CI 1.24-2.02), and more likely to have switched to telemedicine during COVID-19 (aOR 1.55, 95% CI 1.09-2.21).

CONCLUSIONS

Telemedicine played a key role in addressing health care needs during the COVID-19 pandemic. Age, sex, economic status, and sexual orientation influenced its use.

Addressing Stigma and Privacy Through Telemedicine: Qualitative Findings on Enhancing HIV Care Engagement Among Racial and Ethnic Minority Groups

We conducted a demonstration project of telemedicine HIV care services at the University of Florida (UF) College of Medicine, Jacksonville. Our sample focused on members of racial and ethnic minority groups living in an urban setting. As part of the project's evaluation, we conducted 13 focus groups. Focus groups assessed patient, staff, and provider experiences with facilitating or hindering factors to engaging in telemedicine. We also explored the decision-making processes among people with HIV (PWH) to engage or not in telemedicine. The 46 focus group participants included 21 PWH: 12 PWH who accepted and nine who declined participation in telemedicine. The remaining 25 focus group participants were comprised of medical, clinical support, and community-based organization staff who supported the demonstration project. An unexpected finding that emerged in the focus group narratives detailed that some PWH who accepted telemedicine visits appreciated that telemedicine minimized the stigma they have experienced during in-person healthcare encounters. Among PWH who declined a telemedicine visit, they felt the extension of service into their personal world invaded their privacy, created routes for stigma should their HIV status be disclosed outside the healthcare setting, and raised concerns about confidentiality in virtual settings. Like the PWH, the professionals were mixed in their opinions in that some felt telemedicine facilitated care while others raised concerns. Findings point to the importance of allowing PWH to select the format (in-person or via telemedicine) in which their HIV care is rendered and highlight the importance of intervening to decrease healthcare facility-based stigma.

Influencing factors: Unveiling patterns and reasons in telehealth care utilization and adoption/avoidance decisions

BACKGROUND

The rapid expansion of telehealth, accelerated by the COVID-19 pandemic, has highlighted gaps in understanding demographic and health factors shaping its use. Exploring reasons behind individuals' choices regarding telehealth can guide strategies to promote adoption among diverse populations.

METHODS

Data from 5,119 participants in the 2022 Health Information National Trends Survey were analyzed. Dependent variables included telehealth usage and reasons for choosing or avoiding it. Independent variables included demographics, general health, and mental health. Associations were examined using multiple logistic regression models.

RESULTS

Factors significantly associated with higher odds of telehealth use included education (college graduate: OR = 1.57, 95 % CI [1.19, 2.06]), gender (male: OR = 0.69, 95 % CI [0.55, 0.87]), rural residency (nonmetro: OR = 0.72, 95 % CI [0.53, 0.97]), depression (OR = 2.91, 95 % CI [2.29, 3.71]), age (e.g., 35-49: OR = 1.66, 95 % CI [1.2, 2.29]), and general health status (good: OR = 0.78, 95 % CI [0.61, 1], excellent or very good: OR = 0.74, 95 % CI [0.58, 0.95]). Older individuals preferred telehealth for convenience but inclined to avoid it in favor of in-person visits. Asian and other group were less likely to use telehealth for seeking advice and including others in visits.

CONCLUSIONS

Disparities in telehealth utilization were observed across gender, age, education, health status, and urbanization levels. Policymakers should focus on equitable delivery methods, updated regulatory frameworks, and reducing access disparities, especially in underserved communities.

National Telehealth Contingency Staffing Program and Primary Care Quality in the VHA

Importance

The Veterans Health Administration (VHA) launched the Clinical Resource Hub (CRH), a national telehealth contingency staffing program, to address primary care staffing shortages and improve veteran access to primary care. How this large-scale telehealth intervention affects quality of care is unknown.

Objective

To assess the quality of care for chronic disease management among US veterans receiving high vs low levels of CRH-delivered primary care services and whether racial and ethnic minority veterans experience outcomes similar to those of White veterans when receiving CRH-delivered care.

Design, Setting, and Participants

This retrospective quality improvement study was conducted using VHA administrative data. Veterans receiving primary care services from CRH clinicians between October 1, 2022, to September 30, 2023, were included.

Exposures

Low, medium, and high tertiles of CRH intensity, defined as the proportion of a veteran's CRH primary care visits to their total primary care visits within the study period.

Main Outcomes and Measures

The main outcomes were chronic disease quality measures for 2 common conditions in ambulatory care: diabetes and hypertension. Logistic regression models were used to estimate the association between individual-level receipt of care from a CRH clinician and the study outcomes.

Results

This study included 71 508 veterans (mean [SD] age, 66 [15] years; 91.4% were male). Veterans who received a higher proportion of care from CRH clinicians were more likely to have improved blood pressure control compared with those who received a lower proportion of care. Higher vs lower CRH intensity was associated with improved blood pressure control among veterans with diabetes (79.5% [95% CI, 78.5%-80.4%] vs 76.6% [95% CI, 75.7%-77.5%]) and veterans with hypertension (76.8% [95% CI, 76.0%-77.5%] vs 73.9% [95% CI, 73.2%-74.7%]). Among racial and ethnic minority veterans, no association between CRH intensity and clinical quality was observed.

Conclusions and Relevance

In this large retrospective cohort study among veterans receiving primary care services through a national telehealth contingency staffing program, veterans with a higher proportion of care from CRH clinicians had improvement in blood pressure outcomes. These findings suggest that the CRH program may be helpful in addressing veteran primary care needs without introducing or worsening disparities in ambulatory quality measures among racial and ethnic minority veterans. As health systems face staffing shortages in primary care, these findings can inform strategies for equitable implementation of large-scale telehealth initiatives to fill these gaps and maintain timely access to primary care.

Emerging from the shadows: Trends in HIV ambulatory care, viral load testing, and viral suppression in a U.S. HIV cohort, 2019-2022: Impact of COVID-19 pandemic

This article aimed at analyzing the acute impact and the longer-term recovery of COVID-19 pandemic effects on clinical encounter types, HIV viral load (VL) testing, and suppression (HIV VL < 200 copies/mL). This study was a longitudinal cohort study of participants seen during 2019-2022 at nine HIV Outpatient Study (HOPS) sites. Generalized linear mixed models (GLMMs) estimated monthly rates of all encounters, office and telemedicine visits, and HIV VL tests using 2010-2022 data. We examined factors associated with nonsuppressed VL (VL ≥ 200 copies/mL) and not having ambulatory care visits during the pandemic using GLMM for logistic regression with 2017-2022 and 2019-2022 data, respectively. Of 2351 active participants, 76.0% were male, 57.6% aged ≥ 50 years, 40.7% non-Hispanic White, 38.2% non-Hispanic Black, 17.3% Hispanic/Latino, and 51.0% publicly insured. The monthly rates of in-person and telemedicine visits varied during 2020 through mid-year 2022. Multivariable logistic regression showed that persons with no encounters were more likely to be male or have VL ≥ 200 copies/mL. For participants with ≥1 VL test, the prevalence rate of HIV VL ≥ 200 copies/mL during 2020 was close to the rates from 2014 to 2019. The change in probability of viral suppression was not associated with participant's age, sex, race/ethnicity, or insurance type. In the HOPS, overall patient encounters declined over 2 years during the pandemic with variations in telemedicine and in-person events, with relative maintenance of viral suppression. Ongoing recovery from the impact of COVID-19 on ambulatory care will require continued efforts to improve retention and patient access to medical services.

Disparities in Telehealth Use in HIV Care During the COVID-19 Pandemic: Study Findings from South Carolina

Background: Telehealth was adopted to maintain HIV care continuity during the COVID-19 pandemic; however, its use was unequally distributed. This study examined variation in HIV care visit patterns and whether telehealth use was associated with viral suppression. Methods: Electronic health record (EHR) data from a large HIV clinic in South Carolina was analyzed using multivariable logistic regression to characterize variation in telehealth use, having a viral load (VL) test, and viral suppression in 2022. Results: EHR data from 2,375 people living with HIV (PWH) between March 2021 and March 2023 showed telehealth use among 4.8% of PWH. PWH who are 50+ years and non-Hispanic Black had lower odds of telehealth use (odds ratio [OR] 0.59, 95% confidence interval [CI 0.40-0.86]; OR 0.58, 95% CI [0.37-0.92] respectively). Telehealth use was not associated with viral suppression and VL testing. Conclusion: Telehealth disparities in HIV care affected older and non-Hispanic Black PWH, requiring tailored strategies to promote telehealth among them.

Care challenges and silver linings in HIV and behavioral health service delivery for individuals living with HIV and severe mental illness during the COVID-19 pandemic: a qualitative study

BACKGROUND

There has been a longstanding effort to integrate behavioral health and HIV care for people with comorbid HIV and behavioral health needs, including those with severe mental illness (SMI). As this population frequents both behavioral health and HIV care settings, they were likely to experience new obstacles to the quality and availability of care during the COVID-19 pandemic. This study aims to describe how clinics for HIV services or behavioral healthcare-as well as co-located sites providing both-sought to rapidly shift protocols to maintain a standard of patient care for people with comorbid HIV and SMI while adapting to the unprecedented circumstances of the pandemic.

METHODS

We interviewed HIV and behavioral healthcare providers, clinic leaders, and support service agencies that served clients impacted by both HIV and SMI. Seventeen key informants across three settings (HIV care settings, behavioral health care settings, and integrated or co-located care settings) were interviewed in 2022. Interviews focused on changes in clinical services, protocols, and care provision strategies during and at the onset of the COVID-19 pandemic. Interviews were transcribed and coded using thematic analysis.

RESULTS

Commonly endorsed themes included both positive and negative changes in care and care provision during the pandemic. Negative impacts of the pandemic included the loss of physical space, exacerbated mental health needs and disengagement in HIV care, patient barriers to telehealth and the digital divide, and increased healthcare workforce burnout. Positive changes included improved healthcare delivery and care engagement through telehealth, new opportunities to provide a wide range of social services, paradoxical increases in engagement in HIV care for certain patients, and broad institution of workforce wellness practices.

CONCLUSIONS

Though COVID-19 presented several complex barriers to care for providers serving patients with comorbid HIV and SMI, the increased flexibility afforded by telehealth and a greater focus on collaborative approaches to patient care may benefit this patient population in the future. Additionally, the focus on workforce wellness may serve to increase retention and avoid burnout among providers. The strategies and lessons learned through adapting to COVID-19 may be invaluable moving forward as healthcare systems respond to future pandemics.

Randomized Clinical Trial of Stigma Counseling and HIV Testing Access Interventions to Increase HIV Testing Among Black Sexual Minority Men and Transwomen

Advances in HIV prevention tools have outpaced our ability to ensure equitable access to these tools. Novel approaches to reducing known barriers to accessing HIV prevention, such as stigma and logistical-related factors, are urgently needed. To evaluate the efficacy of a randomized controlled trial with four intervention arms to address barriers to HIV/STI testing uptake (primary outcome) and PrEP use, depression, and HIV test results (secondary outcomes). We tested a 2 × 2 research design: main effect 1-stigma-focused vs. health information evaluation-focused counseling, main effect 2-offering HIV/STI testing appointments in person vs. at home with a counselor via video chat, and the interaction of the main effects. Participants (N = 474) residing in the southeastern USA were screened and enrolled in a longitudinal trial. Intervention efficacy was established using generalized linear modeling with binomial or Poisson distributions. Intervention efficacy demonstrated an increase in HIV/STI testing uptake when testing was made available at home with a counselor via video chat vs. in person (83% vs. 75% uptake, p < .05), and participants were also more likely to test positive for HIV over the course of the study in the at-home condition (14.5% vs. 9.4%, p < .05). Stigma-focused counseling resulted in lower depression scores and greater uptake of PrEP among participants < 30 years of age when compared with health information counseling (15.4% vs. 9.6%, p < .05). In order to prevent further disparities between HIV prevention advances and access to HIV prevention tools, we must prioritize improvements in linking people to care. Novel interventions, such as those proposed here, offer a practical, evidence-based path to addressing long-standing barriers to HIV prevention strategies. Trial registration: NCT03107910.

Racial Differences in Expanded Telemedicine Use During COVID-19: A Literature Review

Background: The COVID-19 pandemic prompted the widespread adoption of telemedicine to deliver health care services while minimizing in-person contact. However, concerns persist regarding equitable access to telemedicine, especially for vulnerable populations. This study examines the utilization patterns of telemedicine by race in the United States, considering different modalities, medical specialties, and geographic regions. Methods: A comprehensive review of 26 articles published between January 2020 and August 2022 was conducted to analyze racial disparities in telemedicine use during the pandemic. Data from electronic health records and self-reported race were compiled for analysis. Variations based on geography, clinical care types, telemedicine modalities (audio or video), and study design were explored. Results: The findings indicate the presence of racial disparities in telemedicine utilization, with minority groups exhibiting lower usage rates compared with Whites. The location of outpatient clinics and clinical care types did not significantly influence telemedicine use by race. Among studies comparing telemedicine modalities, African Americans were more likely to choose audio/phone visits over video visits. Studies employing a pre-post design were less likely to identify disparities in telemedicine use by race. Conclusions: This study consistently demonstrates increasing racial disparities in telemedicine use. Future research should focus on identifying contributing factors and developing strategies to address these disparities. Policymakers should consider implementing initiatives promoting equitable access to telemedicine, including financial assistance, improved broadband infrastructure, and digital literacy programs. By addressing these barriers, telemedicine can play a crucial role in reducing health care disparities and improving access to care for all Americans.

The role of increasing synchronous telehealth use during the COVID-19 pandemic on disparities in access to healthcare: A systematic review

INTRODUCTION

The COVID-19 public health emergency led to an unprecedented rapid increase in telehealth use, but the role of telehealth in reducing disparities in access to care has been questioned. The objective of this study was to conduct a systematic review to summarize the available evidence on how telehealth during the COVID-19 pandemic was associated with telehealth utilization for minority groups and its role in health disparities.

METHODS

We conducted a systematic review focused on health equity and access to care by searching for interventional and observational studies using the following four search domains: telehealth, COVID-19, health equity, and access to care. We searched PubMed, Embase, Cochrane CENTRAL, CINAHL, telehealth.hhs.gov, and the Rural Health Research Gateway, and included any study that reported quantitative results with a control group.

RESULTS

Our initial search yielded 1970 studies, and we included 48 in our final review. The most common dimensions of health equity studied were race/ethnicity, rurality, insurance status, language, and socioeconomic status, and the telehealth applications studied were diverse. Included studies had a moderate risk of bias. In aggregate, most studies reported increased telehealth use during the pandemic, with the greatest increase in non-minority populations, including White, younger, English-speaking people from urban areas.

DISCUSSION

We found that despite rapid adoption and increased telehealth use during the public health emergency, telehealth did not reduce existing disparities in access to care. We recommend that future work measuring the impact of telehealth focus on equity so that features of telehealth innovation can reduce disparities in health outcomes.

Socioeconomic factors associated with use of telehealth services in outpatient care settings during the COVID-19

BACKGROUND

To examine potential changes and socioeconomic disparities in utilization of telemedicine in non-urgent outpatient care in Nevada since the COVID-19 pandemic.

METHODS

This retrospective cross-sectional analysis of telemedicine used the first nine months of 2019 and 2020 electronic health record data from regular non-urgent outpatient care in a large healthcare provider in Nevada. The dependent variables were the use of telemedicine among all outpatient visits and using telemedicine more than once among those patients who did use telemedicine. The independent variables were race/ethnicity, insurance status, and language preference.

RESULTS

Telemedicine services increased from virtually zero (16 visits out of 237,997 visits) in 2019 to 10.8% (24,159 visits out of 222,750 visits) in 2020. Asians (odds ratio [OR] = 0.85; 95% confidence interval [CI] = 0.85,0.94) and Latinos/Hispanics (OR = 0.89; 95% CI = 0.85, 0.94) were less likely to use telehealth; Spanish-speaking patients (OR = 0.68; 95% CI = 0.63, 0.73) and other non-English-speaking patients (OR = 0.93; 95% CI = 0.88, 0.97) were less likely to use telehealth; and both Medicare (OR = 0.94; 95% CI = 0.89, 0.99) and Medicaid patients (OR = 0.91; 95% CI = 0.87, 0.97) were less likely to use telehealth than their privately insured counterparts. Patients treated in pediatric (OR = 0.76; 95% CI = 0.60, 0.96) and specialty care (OR = 0.67; 95% CI = 0.65, 0.70) were less likely to use telemedicine as compared with patients who were treated in adult medicine.

CONCLUSIONS

Racial/ethnic and linguistic factors were significantly associated with the utilization of telemedicine in non-urgent outpatient care during COVID-19, with a dramatic increase in telemedicine utilization during the onset of the pandemic. Reducing barriers related to socioeconomic factors can be improved via policy and program interventions.

Factors Associated with Reliance on Audio-Only Technology (Telephone) for Completion of Telepsychiatry Visits

Introduction: The ability to access telepsychiatry through audio-video technology versus audio-only (telephone) technology potentially leads to inequitable outcomes. This study examines the characteristics of patients who relied on the telephone to complete outpatient telepsychiatry visits in a large health system. Methods: This is a retrospective analysis of all telepsychiatry outpatient visits conducted from May 1, 2020, to December 31, 2021. Demographic, clinical, and socioeconomic factors were extracted from the electronic health record. Two-sample t tests were used for continuous variables and χ2 tests for categorical variables for bivariate analyses. Multiple logistic regression was used to examine the association between only telephone visits and all input variables. Results: Eight hundred ninety-four (8.9%) patients completed all visits only by telephone during the study period. In bivariate analyses, factors associated with telephone-only visits included male sex, non-English primary language, Black race, unmarried status, non-Hispanic ethnicity, older age, Medicare enrollment, uninsured status, and higher social vulnerability index (SVI). Psychiatric diagnoses associated with only telephone visits included substance use disorders and psychotic disorders. In multivariate analyses, factors associated with higher odds of only telephone visits included older age, inactive patient portal, comorbid diabetes, higher SVI, and higher broadband adoption. Psychiatric diagnoses associated with higher odds of completing only telephone visits included psychotic disorders, substance use disorders, or intellectual/developmental disabilities. Conclusions: Several patient-level factors are associated with a reliance on the telephone to complete telepsychiatry appointments.

Mixed Methods Analysis of Telehealth Experience, Satisfaction, and Quality of Care During the COVID Pandemic Among Persons with HIV in Washington, DC

The purpose of this study is to describe telehealth experiences and quality of HIV care provided to an urban population of people with HIV (PWH) in Washington, DC. We used self-reported survey data from a cohort of PWH in the DC Cohort longitudinal study linked to medical records (October 26, 2020-December 31, 2021). Analyses followed a mixed-methods approach, including prevalence estimates and multivariable logistic regression of telehealth use by demographic and HIV characteristics. We measured primary motivation, modes of engagement, and telehealth satisfaction. Qualitative responses to open-ended questions were coded using collaborative coding. A framework developed by the National Quality Forum (NQF) was applied to the results. Among 978 participants, 69% reported using telehealth for HIV care during the pandemic. High school graduates were less likely to use telehealth compared to those with college education (aOR 0.69, 95% CI 0.48, 0.98). PWH with > 1 co-morbid condition were more likely to use telehealth compared to those without (aOR 1.42, 95% CI 1.02, 1.95). The majority reported satisfaction with telehealth (81%). Qualitative analysis of telehealth satisfaction found that most responses were related to access to care and technology, effectiveness, and patient experience. PWH using telehealth during the pandemic were satisfied with their experience though use differed demographically. Telehealth was used effectively to overcome barriers to care engagement, including transportation, costs, and time. As we transition away from the emergency pandemic responses, it will be important to determine how this technology can be used in the future in an equitable manner to further strengthen HIV care engagement.

Viewpoint on Human Immunodeficiency Virus Medical Care Retention Guidelines in the Coronavirus 2019 Pandemic Era and Beyond: Lessons Learned From Electronic Health Record Screening and Outreach

In this viewpoint, we discuss retention in care for people with human immunodeficiency virus (HIV) and call into question the methodology used to characterize retention, as well as the definitions themselves. Optimal retention for people with HIV (PWH) is defined in multiple ways by major healthcare leaders in the United States, typically focusing on appointment attendance or laboratory work. Yet, these definitions rely on in-person encounters, an approach to care that is becoming less common due to the rise of telehealth visits, particularly in light of the coronavirus disease 2019 pandemic. Our recent work showed that relying on electronic health records to identify PWH who were not retained in care not only failed to capture the nuances of modern HIV medical treatment engagement, but also led to misidentification of patients' retention status due to limitations in the record system. As such, we recommend a reevaluation of how HIV medical care retention is defined and reported.

Projecting the Clinical and Economic Impacts of Changes to HIV Care Among Adolescents and Young Adults in the United States: Lessons From the COVID-19 Pandemic

BACKGROUND

During the COVID-19 pandemic, many US youth with HIV (YHIV) used telehealth services; others experienced disruptions in clinic and antiretroviral therapy (ART) access.

METHODS

Using the Cost-effectiveness of Preventing AIDS Complications (CEPAC)-Adolescent HIV microsimulation model, we evaluated 3 scenarios: 1) Clinic: in-person care; 2) Telehealth: virtual visits, without CD4 or viral load monitoring for 12 months, followed by return to usual care; and 3) Interruption: complete care interruption with no ART access or laboratory monitoring for 6 months (maximum clinic closure time), followed by return to usual care for 80%. We assigned higher 1-year retention (87% vs 80%) and lower cost/visit ($49 vs $56) for Telehealth vs Clinic. We modeled 2 YHIV cohorts with non-perinatal (YNPHIV) and perinatal (YPHIV) HIV, which differed by mean age (22 vs 16 years), sex at birth (85% vs 47% male), starting CD4 count (527/μL vs 635/μL), ART, mortality, and HIV-related costs. We projected life months (LMs) and costs/100 YHIV over 10 years.

RESULTS

Over 10 years, LMs in Clinic and Telehealth would be similar (YNPHIV: 11 350 vs 11 360 LMs; YPHIV: 11 680 LMs for both strategies); costs would be $0.3M (YNPHIV) and $0.4M (YPHIV) more for Telehealth than Clinic. Interruption would be less effective (YNPHIV: 11 230 LMs; YPHIV: 11 620 LMs) and less costly (YNPHIV: $1.3M less; YPHIV: $0.2M less) than Clinic. Higher retention in Telehealth led to increased ART use and thus higher costs.

CONCLUSIONS

Telehealth could be as effective as in-person care for some YHIV, at slightly increased cost. Short interruptions to ART and laboratory monitoring may have negative long-term clinical implications.

Telehealth Expansion, Internet Speed, and Primary Care Access Before and During COVID-19

Importance

Primary care (PC) receipt is associated with better health outcomes. How telehealth expansion and internet speed are associated with PC use is unclear.

Objective

To examine the association of telehealth and internet speed with PC use across sociodemographic determinants of health.

Design, Setting, and Participants

This cohort study performed difference-in-differences regression of the change in in-person and telehealth PC visits between pre-COVID-19 public health emergency (PHE) (June 1, 2019, to February 29, 2020) and an initial (March 1, 2020, to May 31, 2020) and prolonged (March 1, 2020, to December 31, 2021) PHE period among continuously enrolled nonpregnant, nondisabled Wisconsin Medicaid beneficiaries aged 18 to 64 years. Data were analyzed from March 2022 to March 2023.

Exposure

PHE-induced telehealth expansion.

Main Outcomes and Measures

Change in PC telehealth (using Current Procedural Terminology codes) visits: (1) count; (2) visit share completed by telehealth; (3) percentage of PHE-induced visit decline offset by telehealth. High-speed internet (HSI) defined as living in a census block group with a median block maximum download speed of 940 megabits per second or greater (June 2020 Federal Communications Commission broadband data); other census block groups classified as low-speed internet (LSI).

Results

In the total cohort of 172 387 participants, 102 989 (59.7%) were female, 103 848 (60.2%) were non-Hispanic White, 34 258 (19.9%) were non-Hispanic Black, 15 020 (8.7%) were Hispanic, 104 239 (60.5%) were aged 26 to 45 years, and 112 355 (66.0%) lived in urban counties. A total of 142 433 (82.6%) had access to HSI; 72 524 (42.1%) had a chronic condition. There was a mean (SD) of 0.138 (0.261) pre-PHE PC visits per month. In the pre-PHE period, visit rates were significantly higher for female than male participants, non-Hispanic White than non-Hispanic Black individuals, urban than rural residents, those with HSI than LSI, and patients with chronic disease than patients without. In the initial PHE period, female participants had a greater increase in telehealth visits than male participants (43.1%; 95% CI, 37.02%-49.18%; P < .001), share (2.20 percentage point difference [PPD]; 95% CI, 1.06-3.33 PPD; P < .001) and offset (6.81 PPD; 95% CI, 3.74-9.87 PPD; P < .001). Non-Hispanic Black participants had a greater increase in share than non-Hispanic White participants (5.44 PPD; 95% CI, 4.07-6.81 PPD; P < .001) and offset (15.22 PPD; 95% CI, 10.69-19.75 PPD; P < .001). Hispanic participants had a greater increase in telehealth visits than Non-Hispanic White participants (35.60%; 95% CI, 25.55%-45.64%; P < .001), share (8.50 PPD; 95% CI, 6.75-10.26 PPD; P < .001) and offset (12.93 PPD; 95% CI, 6.25-19.60 PPD; P < .001). Urban participants had a greater increase in telehealth visits than rural participants (63.87%; 95% CI, 52.62%-75.11%; P < .001), share (9.13 PPD; 95% CI, 7.84-10.42 PPD; P < .001), and offset (13.31 PPD; 95% CI; 9.62-16.99 PPD; P < .001). Participants with HSI had a greater increase in telehealth visits than those with LSI (55.23%; 95% CI, 42.26%-68.20%; P < .001), share (6.61 PPD; 95% CI, 5.00-8.23 PPD; P < .001), and offset (6.82 PPD; 95% CI, 2.15-11.49 PPD; P = .004). Participants with chronic disease had a greater increase in telehealth visits than those with none (188.07%; 95% CI, 175.27%-200.86%; P < .001), share (4.50 PPD; 95% CI, 3.58-5.42 PPD; P < .001), and offset (9.03 PPD; 95% CI, 6.01-12.04 PPD; P < .001). Prolonged PHE differences were similar. Differences persisted among those with HSI.

Conclusions and Relevance

In this cohort study of Wisconsin Medicaid beneficiaries, greater telehealth uptake occurred in groups with higher pre-PHE utilization, except for high uptake among Hispanic and non-Hispanic Black individuals despite low pre-PHE utilization. HSI did not moderate disparities. These findings suggest telehealth and HSI may boost PC receipt, but will generally not close utilization gaps.

Optimizing Telehealth for Diabetes Management in the Deep South of the United States: Qualitative Study of Barriers and Facilitators on the Patient and Clinician Journey

BACKGROUND

The Deep South of the United States, and Louisiana in particular, bears a greater burden of obesity, diabetes, and heart disease compared with other regions in the United States. Throughout the COVID-19 pandemic, there has been a substantial increase in telehealth visits for diabetes management to protect the safety of patients. Although there have been significant advancements in telehealth and chronic disease management, little is known about patient and provider perspectives on the challenges and benefits of telehealth visits among people living with diabetes and providers who care for patients with diabetes in Louisiana.

OBJECTIVE

This study aimed to explore barriers, facilitators, challenges, and benefits to telehealth for patients with diabetes and health care providers as they transitioned from in-person to remote care during the early COVID-19 pandemic to understand potential optimization.

METHODS

A total of 24 semistructured qualitative interviews were conducted with 18 patients living with diabetes and 6 clinicians who served patients with diabetes to explore their experiences and perceptions of telehealth services for diabetes care. Approximately half of the participants identified as Black or African American, half as White, and 75% as female. Interviews were recorded, transcribed, and coded by experienced qualitative researchers using inductive and deductive techniques. A narrative, descriptive approach to the patient and clinician journey framed the study, including the development of internal journey maps, and reflexive thematic analysis was applied to the transcripts, with special attention to barriers and facilitators.

RESULTS

In total, 5 themes illustrated barriers and facilitators for participants: convenience, safety, and comfort are the benefits of telehealth for patients and clinicians; yet telehealth and in-person visits are valued differently; the convenience of telehealth may have a downside; technology acts as a double-edged sword; and managing expectations and efficiency of the visit experience was an important factor. Individual experiences varied in relation to several factors, including comfort level and access to technology, health system protocols for providing telemedicine, and level of diabetes control among patients.

CONCLUSIONS

Recommendations for optimization include providing support to help guide and inform patients about what to expect and how to prepare for telehealth visits as well as allowing clinicians to schedule telehealth and in-person visits during discrete blocks of time to improve efficiency. Further research should address how hybrid models of telehealth and in-person care may differentially impact health outcomes for patients with diabetes, particularly for people with multiple chronic conditions in settings where access to technology and connectivity is not optimal.

The Future of Telehealth in Human Immunodeficiency Virus Care: A Qualitative Study of Patient and Provider Perspectives in South Carolina

To ensure care continuity during the COVID-19 pandemic, telehealth has been widely implemented in human immunodeficiency virus (HIV) care. However, participation in and benefits from telehealth were unequal. This study aims to assess the willingness of people living with HIV (PWH) and HIV care providers to use telehealth and perceptions of the future role of telehealth. In-depth interviews with 18 PWH and 10 HIV care providers from South Carolina assessed their willingness to use telehealth, their perspectives on the future of telehealth in HIV care, and recommendations to improve telehealth. Interviews were analyzed using thematic analysis. Most PWH were female (61%), Black/African American (67%), and non-Hispanic (78%). Most PWH (61%) and all providers had used telehealth for HIV care. Most PWH and all providers reported being willing to use or (re-)consider telehealth HIV care services in the future. Providers suggested that telehealth is most suitable for routine HIV care encounters and for established, clinically stable, generally healthy PWH. Attitudes toward telehealth were heterogeneous, with most interviewees valuing telehealth similarly or superior to in-person care, yet >20% perceiving it less valuable. Recommendations to improve telehealth included multilevel strategies to address challenges across four domains: technology, the virtual nature of telehealth, administrative processes, and the sociodemographic profile of PWH. Telehealth in HIV care is here to stay; however, it may not yet be suitable for all PWH and all care encounters. Decision processes related to telehealth versus in-person care need to involve providers and PWH. Existing telehealth options require multilevel adjustments addressing persistent challenges.

Racial disparities in telehealth use during the coronavirus disease 2019 pandemic

OBJECTIVE

To investigate the impact of coronavirus disease 2019 on initial infertility consultations.

DESIGN

Retrospective cohort.

SETTING

Fertility practice in an academic medical center.

PATIENTS

Patients presenting for initial infertility consultation between January 2019 and June 2021 were randomly selected for prepandemic (n = 500) and pandemic (n = 500) cohorts.

EXPOSURE

Coronavirus disease 2019 pandemic.

MAIN OUTCOME MEASURES

The primary outcome was a change in the proportion of African American patients using telehealth after pandemic onset compared with all other patients. Secondary outcomes included presentation to an appointment vs. no-show or cancellation. Exploratory outcomes included appointment length and in vitro fertilization initiation.

RESULTS

The prepandemic cohort vs. the pandemic cohort had fewer patients with commercial insurance (64.4% vs. 72.80%) and more African American patients (33.0% vs. 27.0%), although the racial makeup did not differ significantly between the two cohorts. Rates of missed appointments did not differ between the cohorts, but the prepandemic cohort vs. the pandemic cohort was more likely to no-show (49.4% vs. 27.8%) and less likely to cancel (50.6% vs. 72.2%). African American patients, compared with all other patients, during the pandemic were less likely to use telehealth (57.0% vs. 66.8%). African American patients, compared with all other patients, were less likely to have commercial insurance (prepandemic: 41.2% vs. 75.8%; pandemic: 57.0% vs. 78.6%), present to their scheduled appointment (prepandemic: 52.7% vs. 73.7%; pandemic: 48.1% vs. 74.8%), and cancel vs. no-show (prepandemic: 30.8% vs. 68.2%, pandemic: 64.3% vs. 78.3%). On multivariable analysis, African American patients were less likely (odds ratio 0.37, 95% confidence interval 0.28-0.50) and telehealth users were more likely (odds ratio 1.54, 95% confidence interval 1.04-2.27) to present to their appointments vs. no-show or cancel when controlling for insurance type and timing relative to the onset of the pandemic.

CONCLUSION

Telehealth implementation during the coronavirus disease 2019 pandemic decreased the overall no-show rate, but this shift did not apply to African American patients. This analysis highlights disparities in insurance coverage, telehealth utilization, and presentation for an initial consultation in the African American population during the pandemic.

Telemedicine and HIV Care Quality Measures During the COVID-19 Pandemic

BACKGROUND

During the COVID-19 pandemic, telemedicine was adopted to ensure continuity of HIV care. We examined how introducing televisits affected technical quality of care for people with HIV (PWH) during this time.

METHODS

PWH receiving HIV care at Howard Brown Health Centers and Northwestern University in Chicago, Illinois were included. HIV care quality indicators were calculated using data extracted from electronic medical records during 4 timepoints every 6 months from March, March 1, 2020 to September 1, 2021. Generalized linear mixed models estimated differences in indicators across timepoints within each site while controlling for multiple observations of individuals. Generalized linear mixed models were also used to compare differences in outcomes among PWH who attended all versus a combination of in-person and televisits versus no televisits across the study time periods.

RESULTS

6447 PWH were included in the analysis. Compared with prepandemic levels, there were significant declines in care utilization and processes of care measures. Measures of HIV virologic suppression, blood pressure control, and HbA1C <7% (in both people with and without diabetes) were stable with no significant differences noted across the study timepoints. Similar trends were observed across all age, race, and sex subgroups. In multivariable models, televisits were not associated with decreased HIV viral suppression.

CONCLUSIONS

During the COVID-19 pandemic and rapid implementation of televisits, indicators of care utilization and processes of care decreased compared with prepandemic levels. Among PWH who remained in care, televisits were not associated with worse virologic, blood pressure, and glycemic control in PWH.

The impact of COVID-19 on the HIV continuum of care: challenges, innovations, and opportunities

INTRODUCTION

In February 2019, the United States (US) launched the Ending the HIV Epidemic (EHE) initiative with emphasis on improving the various steps of the Human Immunodeficiency Virus (HIV) prevention and care continuum. However, in March 2020, the Coronavirus Disease 2019 (COVID-19) pandemic was declared, curtailing efforts to end the epidemic in the US.

AREAS COVERED

To describe the impact of the pandemic on EHE in the US, the authors performed a comprehensive literature review focusing on outcomes at each step of the HIV care continuum. Simultaneously, they identified examples of pandemic-era innovations that may help EHE.

EXPERT OPINION

Numerous studies demonstrated pandemic-related disruptions across the care continuum as well as the impact on preexisting barriers to care among People with HIV (PWH) at higher risk for poor outcomes. As the pandemic progressed, innovative approaches to delivering healthcare and providing essential services emerged, including widespread use of telemedicine, expansion of home-based care, self-collected sexually transmitted infection (STI) and HIV testing, and co-located testing for COVID-19 and HIV/STIs. While the COVID-19 pandemic initially hindered achieving EHE in the US, the ability to be agile, flexible, and creative led to innovation in HIV care delivery that may ultimately assist in meeting EHE goals as we transition into the post-pandemic era.

Mental health and substance use screening in HIV primary care before and during the early COVID-19 pandemic

BACKGROUND

Mental health and substance use disorders disproportionately affect people with HIV (PWH), and may have been exacerbated during COVID-19. The Promoting Access to Care Engagement (PACE) trial was designed to assess the effectiveness of electronic screening for mental health and substance use in HIV primary care and enrolled PWH from October 2018 to July 2020. Our objective here was to compare screening rates and results for PWH before (October 2018 - February 2020) and early in the COVID-19 pandemic (March-July 2020).

METHODS

Adult (≥ 18 years) PWH from 3 large HIV primary care clinics in a US-based integrated healthcare system were offered electronic screening online or via in-clinic tablet computer every 6 months. Screening completion and results (for depression, suicidal ideation, anxiety, and substance use) were analyzed using logistic regression with generalized estimating equations to estimate prevalence ratios (PR) before and after the start of the regional COVID-19 shelter-in-place orders on March 17, 2020. Models adjusted for demographics (age, sex, race/ethnicity), HIV risk factors (men who have sex with men, injection drug use, heterosexual, other), medical center, and modality of screening completion (online or tablet). We conducted qualitative interviews with providers participating in the intervention to evaluate how the pandemic impacted patient care.

RESULTS

Of 8,954 eligible visits, 3,904 completed screenings (420 during COVID, 3,484 pre-COVID), with lower overall completion rates during COVID (38% vs. 44%). Patients completing screening during COVID were more likely to be White (63% vs. 55%), male (94% vs. 90%), and MSM (80% vs., 75%). Adjusted PRs comparing COVID and pre-COVID (reference) were 0.70 (95% CI), 0.92 (95% CI), and 0.54 (95% CI) for tobacco use, any substance use, and suicidal ideation, respectively. No significant differences were found by era for depression, anxiety, alcohol, or cannabis use. These results were in contrast to provider-reported impressions of increases in substance use and mental health symptoms.

CONCLUSION

Findings suggest PWH had modest declines in screening rates early in the COVID-19 pandemic which may have been affected by the shift to telemedicine. There was no evidence that mental health problems and substance use increased for PWH in primary care.

TRIAL REGISTRATION

NCT03217058 (First registration date: 7/13/2017); https://clinicaltrials.gov/ct2/show/NCT03217058.

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

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.

Randomized trial protocol for remote monitoring for equity in advancing the control of hypertension in safety net systems (REACH-SNS) study

BACKGROUND

Self-measured blood pressure monitoring (SMBP) is essential to effective management of hypertension. This study aims to evaluate effectiveness and implementation of SMBP that leverages: cellular-enabled home BP monitors without a need for Wi-Fi or Bluetooth; simple communication modalities such as text messaging to support patient engagement; and integration into existing team-based workflows in safety-net clinics.

METHODS

This study will be conducted with patients in San Francisco who are treated within a network of safety-net clinics. English and Spanish-speaking patients with diagnosed hypertension will be eligible for the trial if they have recent BP readings ≥140/90 mmHg and do not have co-morbid conditions that make home BP monitoring more complex to manage. This study will implement a three-arm randomized controlled trial to compare varying levels of implementation support: 1) cellular-enabled BP monitors (with minimal implementation support), 2) cellular-enabled BP monitors with protocol-based implementation support (text reminders for patients; aggregated BP summaries sent to primary care providers), and 3) cellular-enabled BP monitors and pharmacist-led support (pharmacist coaching and independent medication adjustments).

RESULTS

For the main analysis, we will use mixed effects linear regression to compare the change in primary outcome of systolic BP. Secondary outcomes include BP control (<140/90 mmHg), medication intensification, patient-reported outcomes, and implementation processes (i.e., engagement with the intervention).

DISCUSSION

This study will design and test a digital health intervention for use in marginalized populations treated within safety net settings, evaluating both effectiveness and implementation to advance more equitable health outcomes.

Factors Associated with Telehealth Utilization among Older African Americans in South Los Angeles during the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic transformed healthcare delivery with the expansive use of telemedicine. However, health disparities may result from lower adoption of telehealth among African Americans. This study examined how under-resourced, older African Americans with chronic illnesses use telehealth, including related sociodemographic and COVID-19 factors.

METHODS

Using a cross-sectional design, 150 middle-aged and older African Americans were recruited from faith-based centers from March 2021 to August 2022. Data collected included sociodemographics, comorbidities, technological device ownership, internet usage, and attitudes toward COVID-19 disease and vaccination. Descriptive statistics and multivariable regression models were conducted to identify factors associated with telehealth use.

RESULTS

Of the 150 participants, 32% had not used telehealth since the COVID-19 pandemic, with 75% reporting no home internet access and 38% having no cellular/internet network on their mobile device. Age, access to a cellular network on a mobile device, and wireless internet at home were significantly associated with the utilization of telehealth care. Higher anxiety and stress with an increased perceived threat of COVID-19 and positive attitudes toward COVID-19 vaccination were associated with telehealth utilization.

DISCUSSION

Access and integration of telehealth services were highlighted as challenges for this population of African Americans. To reduce disparities, expansion of subsidized wireless internet access in marginalized communities is necessitated. Education outreach and training by healthcare systems and community health workers to improve uptake of telehealth currently and post-COVID-19 should be considered.

Equity and use of telehealth modalities among people living with HIV during the COVID-19 pandemic

Background

COVID-19 forced a rapid transition to telehealth. Little is known about the use of telephone versus video visits among people living with or at risk for HIV (PWH).

Setting

We studied electronic health record data from an urban HIV clinic. Our sample included visit- and person-level data. Visit-level data came from appointments scheduled from 30 March 2020 to 31 May 2020. Person-level data came from patients 18+ years of age who completed at least one telephone or video visit during the period of interest.

Methods

We performed a cross-sectional analysis. Our primary outcome was telehealth modality (telephone or video). We compared visit completion status by telehealth modality. We evaluated associations between patient characteristics and telehealth modality using logistic regression.

Results

In total, 1742 visits included information on telehealth modality: 1432 telephone (82%) and 310 (18%) video visits. 77% of telephone visits were completed compared to 75% of video visits (p = 0.449). The clinic recorded 643 completed telehealth visits in April and 623 in May 2020. The proportion of telephone visits decreased from 84% in April to 79% in May (p = 0.031). Most patients participated in telephone versus video visits (415 vs. 88 patients). Older age (adjusted odds ratio [AOR] 3.28; 95% confidence interval [CI], 1.37-7.82) and Black race (AOR 2.42; 95% CI, 1.20-4.49) were positively associated with telephone visits. Patient portal enrollment (AOR 0.06; 95% CI, 0.02-0.16) was negatively associated with telephone visits.

Conclusion

PWH used telephone more than video visits, suggesting that telephone visits are a vital healthcare resource for this population.

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

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.

Racial and Socioeconomic Characteristics Associated with the use of Telehealth Services Among Adults With Ambulatory Sensitive Conditions

Introduction

The COVID-19 pandemic led to a major transition for patients from routine ambulatory-care-based in-person primary care visits to telehealth visits to manage chronic diseases. However, it remains unclear the extent to which individuals access telehealth services and whether such utilization varies along neighborhood characteristics, especially among racial minorities. This study aims to examine the association of outpatient telehealth utilization with sociodemographic, clinical, and neighborhood characteristics among adults with ambulatory care sensitive conditions (ACSCs) during the COVID-19 pandemic.

Methods

We included adults treated for an ACSC between March 5, 2020, and December 31, 2020, at a single ambulatory-care-based healthcare system, which serves a large population of low-income patients in the South region of the United States (i.e., Memphis, TN, Metropolitan Statistical Area). Telehealth utilization was defined by outpatient procedural codes and providers' notes on the type of visits. Generalized linear mixed models were used to examine the association of sociodemographic, clinical, and neighborhood factors with telehealth utilization in the overall cohort and the racial subpopulations.

Results

Among the 13,962 adults with ACSCs, 8583 (62.5%) used outpatient telehealth services. Patients who were older, female, with mental disorders, and who had more comorbidities had higher rates of telehealth services (p < .05). Controlling for covariates, we observed 75.2% and 23.1% increased use of telehealth services among Hispanics and other race groups, respectively, compared to Whites. Patients who commuted more than 30 minutes to health facilities were slightly less likely to use telehealth services [OR: 0.994 (0.991,0.998)]. Racial minorities (Blacks and Hispanics) with mental disorders were more likely to use telehealth service when compared to Whites.

Discussion

We found that among patients being treated for ACSCs, the use of telehealth services was highly prevalent in Hispanic patients in general and were more pronounced among both Hispanics and Black patients who have mental disorders.

Characteristics of Chiropractic Patients in the Veterans Health Administration During the COVID-19 Pandemic: A Cross-Sectional Analysis

OBJECTIVE

The purpose of this study was to determine whether patient characteristics were associated with face-to-face (F2F) and telehealth visits for those receiving chiropractic care for musculoskeletal conditions in the US Veterans Health Administration (VHA) during the COVID-19 pandemic.

METHODS

A retrospective cross-sectional analysis of all patients (veterans, dependents, and spouses) who received chiropractic care nationwide at the VHA from March 1, 2020, to February 28, 2021, was performed. Patients were allocated into 1 of the following 3 groups: only telehealth visits, only F2F visits, and combined F2F and telehealth visits. Patient characteristics included age, sex, race, ethnicity, marital status, and Charlson Comorbidity Index. Multinomial logistic regression estimated associations of these variables with visit type.

RESULTS

The total number of unique patients seen by chiropractors between March 2020 and February 2021 was 62 658. Key findings were that patients of non-White race and Hispanic or Latino ethnicity were more likely to attend telehealth-only visits (Black [odds ratio 1.20, 95% confidence interval {1.10-1.31}], other races [1.36 {1.16-1.59}], and Hispanic or Latino [1.35 {1.20-1.52}]) and combination telehealth and F2F care (Black [1.32 {1.25-1.40}], other races [1.37 {1.23-1.52}], and Hispanic or Latino [1.63 {1.51-1.76}]). Patients younger than 40 years of age were more likely to choose telehealth visits ([1.13 {1.02-1.26}], 66-75 years [1.17 {1.01-1.35}], and >75 years [1.26 {1.06-1.51}] vs those 40-55 years of age). Sex, visit frequency, and Charlson Comorbidity Index showed significant relationships as well, while marital status did not.

CONCLUSION

During the COVID-19 pandemic, VHA patients with musculoskeletal complaints using chiropractic telehealth were more ethnically and racially diverse than those using F2F care alone.