Characteristics of telehealth users in NYC for COVID-related care during the coronavirus pandemic

Racial and Ethnic Differences in Hypertension-Related Telehealth and In-Person Outpatient Visits Before and During the COVID-19 Pandemic Among Medicaid Beneficiaries

Background: Little is known about the trends and costs of hypertension management through telehealth among individuals enrolled in Medicaid. Methods: Using MarketScan® Medicaid database, we examined outpatient visits among people with hypertension aged 18-64 years. We presented the numbers of hypertension-related telehealth and in-person outpatient visits per 100 individuals and the proportion of hypertension-related telehealth outpatient visits to total outpatient visits by month, overall, and by race and ethnicity. For the cost analysis, we presented total and patient out-of-pocket (OOP) costs per visit for telehealth and in-person visits in 2021. Results: Of the 229,562 individuals, 114,445 (49.9%) were non-Hispanic White, 80,692 (35.2%) were non-Hispanic Black, 3,924 (1.71%) were Hispanic. From February to April 2020, the number of hypertension-related telehealth outpatient visits per 100 persons increased from 0.01 to 6.13, the number of hypertension-related in-person visits decreased from 61.88 to 52.63, and the proportion of hypertension-related telehealth outpatient visits increased from 0.01% to 10.44%. During that same time, the proportion increased from 0.02% to 13.9% for non-Hispanic White adults, from 0.00% to 7.58% for non-Hispanic Black adults, and from 0.12% to 19.82% for Hispanic adults. The average total and patient OOP costs per visit in 2021 were $83.82 (95% confidence interval [CI], 82.66-85.05) and $0.55 (95% CI, 0.42-0.68) for telehealth and $264.48 (95% CI, 258.87-269.51) and $0.72 (95% CI, 0.65-0.79) for in-person visits, respectively. Conclusions: Hypertension management via telehealth increased among Medicaid recipients regardless of race and ethnicity, during the COVID-19 pandemic. These findings may inform telehealth policymakers and health care practitioners.

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.

Telehealth Utilization and Associations in the United States During the Third Year of the COVID-19 Pandemic: Population-Based Survey Study in 2022

BACKGROUND

The COVID-19 pandemic rapidly changed the landscape of clinical practice in the United States; telehealth became an essential mode of health care delivery, yet many components of telehealth use remain unknown years after the disease's emergence.

OBJECTIVE

We aim to comprehensively assess telehealth use and its associated factors in the United States.

METHODS

This cross-sectional study used a nationally representative survey (Health Information National Trends Survey) administered to US adults (≥18 years) from March 2022 through November 2022. To assess telehealth adoption, perceptions of telehealth, satisfaction with telehealth, and the telehealth care purpose, we conducted weighted descriptive analyses. To identify the subpopulations with low adoption of telehealth, we developed a weighted multivariable logistic regression model.

RESULTS

Among a total of 6252 survey participants, 39.3% (2517/6252) reported telehealth use in the past 12 months (video: 1110/6252, 17.8%; audio: 876/6252, 11.6%). The most prominent reason for not using telehealth was due to telehealth providers failing to offer this option (2200/3529, 63%). The most common reason for respondents not using offered telehealth services was a preference for in-person care (527/578, 84.4%). Primary motivations to use telehealth were providers' recommendations (1716/2517, 72.7%) and convenience (1516/2517, 65.6%), mainly for acute minor illness (600/2397, 29.7%) and chronic condition management (583/2397, 21.4%), yet care purposes differed by age, race/ethnicity, and income. The satisfaction rate was predominately high, with no technical problems (1829/2517, 80.5%), comparable care quality to that of in-person care (1779/2517, 75%), and no privacy concerns (1958/2517, 83.7%). Younger individuals (odd ratios [ORs] 1.48-2.23; 18-64 years vs ≥75 years), women (OR 1.33, 95% CI 1.09-1.61), Hispanic individuals (OR 1.37, 95% CI 1.05-1.80; vs non-Hispanic White), those with more education (OR 1.72, 95% CI 1.03-2.87; at least a college graduate vs less than high school), unemployed individuals (OR 1.25, 95% CI 1.02-1.54), insured individuals (OR 1.83, 95% CI 1.25-2.69), or those with poor general health status (OR 1.66, 95% CI 1.30-2.13) had higher odds of using telehealth.

CONCLUSIONS

To our best knowledge, this is among the first studies to examine patient factors around telehealth use, including motivations to use, perceptions of, satisfaction with, and care purpose of telehealth, as well as sociodemographic factors associated with telehealth adoption using a nationally representative survey. The wide array of descriptive findings and identified associations will help providers and health systems understand the factors that drive patients toward or away from telehealth visits as the technology becomes more routinely available across the United States, providing future directions for telehealth use and telehealth research.

The Growing Role of Digital Health Tools in the Care of Patients with Cancer: Current Use, Future Opportunities, and Barriers to Effective Implementation

PURPOSE OF REVIEW

This article aims to describe the ways in which digital health technologies are currently being used to improve the delivery of cancer care, highlight opportunities to expand their use, and discuss barriers to effective and equitable implementation.

RECENT FINDINGS

The utilization of digital health tools and development of novel care delivery models that leverage such tools is expanding. Recent studies have shown feasibility and increased implementation in the setting of oncologic care. With technological advances and key policy changes, utilization of digital health tools has greatly increased over the past two decades and transformed how cancer care is delivered. As digital health tools are expanded and refined, there is potential for improved access to and quality and efficiency of cancer care. However, careful consideration should be given to key barriers of digital health tool adoption, such as infrastructural, patient-level, and health systems-level challenges, to ensure equitable access to care and improvement in health outcomes.

Bridging the digital health divide-patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity

OBJECTIVE

Evaluate the impact of community tele-paramedicine (CTP) on patient experience and satisfaction relative to community-level indicators of health disparity.

MATERIALS AND METHODS

This mixed-methods study evaluates patient-reported satisfaction and experience with CTP, a facilitated telehealth program combining in-home paramedic visits with video visits by emergency physicians. Anonymous post-CTP visit survey responses and themes derived from directed content analysis of in-depth interviews from participants of a randomized clinical trial of mobile integrated health and telehealth were stratified into high, moderate, and low health disparity Community Health Districts (CHD) according to the 2018 New York City (NYC) Community Health Survey.

RESULTS

Among 232 CTP patients, 55% resided in high or moderate disparity CHDs but accounted for 66% of visits between April 2019 and October 2021. CHDs with the highest proportion of CTP visits were more adversely impacted by social determinants of health relative to the NYC average. Satisfaction surveys were completed in 37% of 2078 CTP visits between February 2021 and March 2023 demonstrating high patient satisfaction that did not vary by community-level health disparity. Qualitative interviews conducted with 19 patients identified differing perspectives on the value of CTP: patients in high-disparity CHDs expressed themes aligned with improved health literacy, self-efficacy, and a more engaged health system, whereas those from low-disparity CHDs focused on convenience and uniquely identified redundancies in at-home services.

CONCLUSIONS

This mixed-methods analysis suggests CTP bridges the digital health divide by facilitating telehealth in communities negatively impacted by health disparities.

Adapting telehealth to address health equity: Perspectives of primary care providers across the United States

BACKGROUND

Telehealth has the potential to increase access to care for medically underserved patients. This qualitative study aimed to identify telecare practices used during the COVID-19 pandemic to meet the needs of patients experiencing homelessness, patients with disabilities, and patients with language preference other than English (LOE).

METHODS

We conducted a secondary qualitative data analysis of 47 clinician interviews at Federally Qualified Health Centers (FQHCs) around the country. Using thematic analysis, transcripts were coded by line-by-line by five qualitative researchers. A multidisciplinary team of telehealth experts, researchers and primary care clinicians reviewed memos and excerpts to generate major themes.

RESULTS

We identified six main areas demonstrating how community providers developed strategies or practices to improve access to care for vulnerable patients: reaching patients experiencing homelessness, serving deaf and hard of hearing patients, improving access for patients with disabilities, serving patients with LOE, improving access for mental and behavioral health services, and educating patients about telehealth. During the pandemic, FQHCs developed innovative solutions to provide access to care for the unhoused, including using telehealth in shelters, vans, and distributing devices like mobile phones and tablets. Telehealth reduced transportation burdens for patients with disabilities and reduced no-show rates for mental health services by adapting group therapy via telehealth features (like break-out rooms) and increasing provider capacity.

CONCLUSION

Our study identified strategies adopted by FQHCs to serve underserved populations during the COVID-19 pandemic. Our findings highlight the need for enduring strategies to improve health equity through telehealth..

Ethics Committee of the American Society for Reproductive Medicine. Electronic address: asrm@asrm.org. Ethical considerations for telemedical delivery of fertility care: an Ethics Committee opinion

Telemedicine has the potential to increase access to and decrease the cost of care. However, it also alters the nature of the physician-patient relationship and the interaction of patients with the healthcare system, which may limit access to care in some circumstances. Regardless of the modality of care delivery, the basic tenets of medical ethics and the obligations of physicians to their patients still hold.

Racial and Ethnic Differences in Telemedicine Use

Importance

Individuals of racial and ethnic minority groups may be less likely to use telemedicine in part due to lack of access to technology (ie, digital divide). To date, some studies have found less telemedicine use by individuals of racial and ethnic minority groups compared with White individuals, and others have found the opposite. What explains these different findings is unclear.

Objective

To quantify racial and ethnic differences in the receipt of telemedicine and total visits with and without accounting for demographic and clinical characteristics and geography.

Design, Setting, and Participants

This cross-sectional study included individuals who were continuously enrolled in traditional Medicare from March 2020 to February 2022 or until death.

Exposure

Race and ethnicity, which was categorized as Black non-Hispanic, Hispanic, White non-Hispanic, other (defined as American Indian/Pacific Islander, Alaska Native, and Asian), and unknown/missing.

Main Outcomes and Measures

Total telemedicine visits (audio-video or audio); total visits (telemedicine or in-person) per individual during the study period. Multivariable models were used that sequentially adjusted for demographic and clinical characteristics and geographic area to examine their association with differences in telemedicine and total visit utilization by documented race and ethnicity.

Results

In this national sample of 14 305 819 individuals, 7.4% reported that they were Black, 5.6% Hispanic, and 4.2% other race. In unadjusted results, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 16.7 (95% CI, 16.1-17.3), 32.9 (95% CI, 32.3-33.6), and 20.9 (95% CI, 20.2-21.7) more telemedicine visits per 100 beneficiaries, respectively. After adjustment for clinical and demographic characteristics and geography, compared with White individuals, Black individuals, Hispanic individuals, and individuals of other racial groups had 7.9 (95% CI, -8.5 to -7.3), 13.2 (95% CI, -13.9 to -12.6), and 9.2 (95% CI, -10.0 to -8.5) fewer telemedicine visits per 100 beneficiaries, respectively. In unadjusted and fully adjusted models, and in 2019 and the second year of the COVID-19 pandemic, Black individuals, Hispanic individuals, and individuals of other racial groups continued to have fewer total visits than White individuals.

Conclusions and Relevance

The results of this cross-sectional study of US Medicare enrollees suggest that although nationally, Black individuals, Hispanic individuals, and individuals of other racial groups received more telemedicine visits during the pandemic and disproportionately lived in geographic regions with higher telemedicine use, after controlling for geographic region, Black individuals, Hispanic individuals, and individuals of other racial groups received fewer telemedicine visits than White individuals.

Telemedicine Use Among Adults with Asthma in the United States, 2021-2022

Introduction: While previous studies have mainly focused on the impact of telemedicine on asthma management, little is known about the disparities in the use of telemedicine among individuals with asthma. This study aimed to investigate the factors associated with telemedicine use among adults with asthma in the United States using a nationally representative survey. Methods: Data from the 2021 and 2022 National Health Interview Survey were used. The multivariable logistic regression model was conducted to identify the factors associated with telemedicine use among adults with asthma. Results: In 2021-2022, the prevalence of telemedicine use among adults with asthma was 47.7%. Females, individuals who were obese, current smokers, those with educational levels of college and higher, health insurance coverage, a usual place for care, a history of asthma attacks, and coronavirus disease 2019 were more likely to use telemedicine. Non-Hispanic blacks, residents in the Midwest, South, and nonmetropolitan areas were less likely to use telemedicine. Conclusions: Disparities in telemedicine use were found among several characteristics in adults with asthma. It is crucial to identify the vulnerable populations in accessing telemedicine and ensure equality in telemedicine use among patients with asthma.

Characteristics of Veterans Experiencing Homelessness using Telehealth for Primary Care Before and After COVID-19 Pandemic Onset

BACKGROUND

The COVID-19 pandemic expanded telehealth use across healthcare systems, including the Veterans Health Administration (VA). Little is known about how large-scale telehealth rollout affected access to primary care for patients experiencing homelessness.

OBJECTIVE

To examine the extent to which homeless-experienced veterans used telehealth services in primary care and to characterize users before and after the onset of the COVID-19 pandemic.

DESIGN

Retrospective cohort study, 3/16/2019-3/15/2022.

PARTICIPANTS

394,731 veterans with homelessness diagnoses nationally using 4,068,109 primary care visits.

MAIN MEASURES

The outcomes were use of 1 + telehealth visits (video, phone, secure messaging) for primary care during each year. Through multivariable regression models, we examined associations between telehealth use, patient characteristics (e.g., age, sex, race-ethnicity, comorbidity), and VA homeless services use (e.g., homeless-tailored primary care (HPACT), permanent supportive housing).

KEY RESULTS

Compared to pre-pandemic, telehealth in primary care among homeless-experienced veterans increased substantially 2 years post-pandemic (video: 1.37% versus 20.56%, phone: 60.74% versus 76.58%). Secure messaging was low over time (1.57-2.63%). In adjusted models, video users were more likely to be young (65 + years: OR = 0.43, CI: 0.42-0.44), women (OR = 1.74, CI: 1.70-1.78), Black (OR = 1.14, CI: 1.12-1.16), Hispanic (OR = 1.34, CI: 1.30-1.38), and with more comorbidities (2 + on the Charlson Comorbidity Index; OR = 1.16, CI: 1.14-1.19), compared to video non-users. HPACT patients were less likely to use video (OR = 0.68, CI: 0.66-0.71) than other primary care patients. This was not observed among users of other VA homeless services.

CONCLUSIONS

Despite decreased access to health information technology and low pre-pandemic telehealth use, veterans experiencing homelessness still sustained high use of telehealth in primary care post-pandemic. Women and racial-ethnic minorities had higher video uptake proportionately, suggesting that telehealth may address access disparities among these homeless-experienced patient groups. Identifying and targeting organizational characteristics (e.g., HPACT users) that predict telehealth use for improvement may be key to increasing adoption among VA primary care patients experiencing homelessness.

Disparities in Video-Based Primary Care Use Among Veterans with Cardiovascular Disease

BACKGROUND

Cardiovascular disease (CVD) is prevalent among Veterans, and video care enhances access to CVD care. However, it is unknown which patients with CVD conditions receive video care in primary care clinics, where a large proportion of CVD services is delivered.

OBJECTIVE

Characterize use of VA video primary care for Veterans with two common CVDs, heart failure and hypertension.

DESIGN

Retrospective cohort study.

PATIENTS

Veterans seen in VA primary care with diagnoses of heart failure and/or hypertension in the year prior to the COVID-19 pandemic and for the first two pandemic-years.

MAIN MEASURES

The primary outcome was use of any video-based primary care visits. Using multilevel regressions, we examined the association between video care use and patient sociodemographic and clinical characteristics, controlling for time and adjusting for patient- and site-level clustering.

KEY RESULTS

Of 3.8M Veterans with 51.9M primary care visits, 456,901 Veterans had heart failure and hypertension, 50,753 had heart failure only, and 3,300,166 had hypertension only. Veterans with heart failure and hypertension had an average age of 71.6 years. 2.9% were female, and 34.8% lived in rural settings. Patients who were male, aged 75 or older, or rural-dwelling had lower odds of using video care than female patients, 18-44-year-olds, and urban-dwellers, respectively (male patients' adjusted odds ratio [AOR] 0.73, 95% confidence interval [CI] 0.72-0.74; 75 years or older, AOR 0.38, 95% CI 0.37-0.38; rural-dwellers, AOR 0.71, 95% CI 0.70-0.71). Veterans with heart failure had higher odds of video care use than those with hypertension only (AOR 1.05, 95% CI 1.04-1.06).

CONCLUSIONS

Given lower odds of video primary care use among some patient groups, continued expansion of video care could make CVD services increasingly inequitable. These insights can inform equitable triage of patients, for example by identifying patients who may benefit from additional support to use virtual care.

Telehealth uptake among middle-aged and older Americans during COVID-19: chronic conditions, social media communication, and race/ethnicity

OBJECTIVES

This study investigated whether and to what extent constructs of the protection motivation theory of health (PMT)-threat appraisal (perceived vulnerability/severity) and coping appraisal (response efficacy and self-efficacy)-are related to telehealth engagement during the COVID-19 pandemic, and how these associations differ by race/ethnicity among middle-aged and older Americans.

METHODS

Data were from the 2020 Health and Retirement Study. Multivariable ordinary least-squares regression analyses were computed adjusting for health and sociodemographic factors.

RESULTS

Some PMT constructs are useful in understanding telehealth uptake. Perceived vulnerability/severity, particularly comorbidity (b = 0.13, 95% confidence interval (CI) [0.11, 0.15], p < 0.001), and response efficacy, particularly participation in communication via social media (b = 0.24, 95% CI [0.21, 0.27], p < 0.001), were significantly and positively associated with higher telehealth uptake during the COVID-19 pandemic among middle-aged and older Americans. Non-Hispanic Black adults were more likely to engage in telehealth during the pandemic than their non-Hispanic White counterparts (b = 0.20, 95% CI [0.12, 0.28], p < 0.001). Multiple moderation analyses revealed the significant association between comorbidity and telehealth uptake was similar across racial/ethnic groups, whereas the significant association between social media communication and telehealth uptake varied by race/ethnicity. Specifically, the association was significantly less pronounced for Hispanic adults (b = -0.11, 95% CI [-0.19, -0.04], p < 0.01) and non-Hispanic Asian/other races adults (b = -0.13, 95% CI [-0.26, -0.01], p < 0.05) than it was for their non-Hispanic White counterparts.

CONCLUSION

Results suggest the potential of using social media and telehealth to narrow health disparities, particularly serving as a bridge for members of underserved communities to telehealth uptake.

Do digital health interventions hold promise for stroke prevention and care in Black and Latinx populations in the United States? A scoping review

BACKGROUND

Black and Latinx populations are disproportionately affected by stroke and are likely to experience gaps in health care. Within fragmented care systems, remote digital solutions hold promise in reversing this pattern. However, there is a digital divide that follows historical disparities in health. Without deliberate attempts to address this digital divide, rapid advances in digital health will only perpetuate systemic biases. This study aimed to characterize the range of digital health interventions for stroke care, summarize their efficacy, and examine the inclusion of Black and Latinx populations in the evidence base.

METHODS

We searched PubMed, the Web of Science, and EMBASE for publications between 2015 and 2021. Inclusion criteria include peer-reviewed systematic reviews or meta-analyses of experimental studies focusing on the impact of digital health interventions on stroke risk factors and outcomes in adults. Detailed information was extracted on intervention modality and functionality, clinical/behavioral outcome, study location, sample demographics, and intervention results.

RESULTS

Thirty-eight systematic reviews met inclusion criteria and yielded 519 individual studies. We identified six functional categories and eight digital health modalities. Case management (63%) and health monitoring (50%) were the most common intervention functionalities. Mobile apps and web-based interventions were the two most commonly studied modalities. Evidence of efficacy was strongest for web-based, text-messaging, and phone-based approaches. Although mobile applications have been widely studied, the evidence on efficacy is mixed. Blood pressure and medication adherence were the most commonly studied outcomes. However, evidence on the efficacy of the various intervention modalities on these outcomes was variable. Among all individual studies, only 38.0% were conducted in the United States (n = 197). Of these U.S. studies, 54.8% adequately reported racial or ethnic group distribution. On average, samples were 27.0% Black, 17.1% Latinx, and 63.4% White.

CONCLUSION

While evidence of the efficacy of selected digital health interventions, particularly those designed to improve blood pressure management and medication adherence, show promise, evidence of how these interventions can be generalized to historically underrepresented groups is insufficient. Including these underrepresented populations in both digital health experimental and feasibility studies is critical to advancing digital health science and achieving health equity.

Telemedicine-Based Cognitive Examinations During COVID-19 and Beyond: Perspective of the Massachusetts General Hospital Behavioral Neurology & Neuropsychiatry Group

Telehealth and telemedicine have encountered explosive growth since the beginning of the COVID-19 pandemic, resulting in increased access to care for patients located far from medical centers and clinics. Subspecialty clinicians in behavioral neurology & neuropsychiatry (BNNP) have implemented the use of telemedicine platforms to perform cognitive examinations that were previously office based. In this perspective article, BNNP clinicians at Massachusetts General Hospital (MGH) describe their experience performing cognitive examinations via telemedicine. The article reviews the goals, prerequisites, advantages, and potential limitations of performing a video- or telephone-based telemedicine cognitive examination. The article shares the approaches used by MGH BNNP clinicians to examine cognitive and behavioral areas, such as orientation, attention and executive functions, language, verbal learning and memory, visual learning and memory, visuospatial function, praxis, and abstract abilities, as well as to survey for neuropsychiatric symptoms and assess activities of daily living. Limitations of telemedicine-based cognitive examinations include limited access to and familiarity with telecommunication technologies on the patient side, limitations of the technology itself on the clinician side, and the limited psychometric validation of virtual assessments. Therefore, an in-person examination with a BNNP clinician or a formal in-person neuropsychological examination with a neuropsychologist may be recommended. Overall, this article emphasizes the use of standardized cognitive and behavioral assessment instruments that are either in the public domain or, if copyrighted, are nonproprietary and do not require a fee to be used by the practicing BNNP clinician.

The Confounding Influence of Older Age in Statistical Models of Telehealth Utilization

Older age is a potentially confounding variable in models of telehealth utilization. We compared unified and stratified logistic regression models using data from the 2021 National Health Interview Survey. A total of 27,626 patients were identified, of whom 38.9% had utilized telehealth. Unified and stratified modeling showed a number of important differences in their quantitative estimates, especially for gender, Hispanic ethnicity, heart disease, COPD, food allergies, high cholesterol, weak or failing kidneys, liver conditions, difficulty with self-care, the use of mobility equipment, health problems that limit the ability to work, problems paying bills, and filling a recent prescription. Telehealth utilization odds ratios differ meaningfully between younger and older patients in stratified modeling. Traditional statistical adjustments in logistic regression may not sufficiently account for the confounding influence of older age in models of telehealth utilization. Stratified modeling by age may be more effective in obtainina clinical inferences.

Recent Telehealth Utilization at a Large Federally Qualified Health Center System: Evidence of Disparities Even Within Telehealth Modalities

Objective: To explore overall trends as well as racial/ethnic disparities in utilization of different telehealth modalities (telephone vs. televideo) at federally qualified health centers (FQHCs) during the COVID-19 pandemic. Methods: Using electronic health record data from a large New York-based FQHC system, we aggregated (separately) Behavioral Health and Family Practice visits per month occurring in-person, by telephone, or by televideo and graphed monthly trends in visits across the pre-pandemic, peak-pandemic, and post-peak-pandemic periods. We calculated fractions of visits conducted by modality for each patient demographic (race/ethnicity, primary language, age, gender, insurance type, and geography) and conducted bivariate assessments to test relationships between patient characteristics and modality. Results: Our data contained 121,072 unique patients and 811,105 visits overall. Telehealth use peaked in April 2020 but continued to account for a significant fraction of FQHC visits-nearly 25% (N = 4,908) of monthly Family Practice visits and a massive 98% (N = 14,173) of Behavioral Health visits as late as June 2021. Of all telehealth visits, nearly half were by telephone. Moreover, demographic factors differed between FQHC patients using telephone visits versus those using televideo: Black, non-English speaking, older, and Medicaid patients had significantly higher utilization of telephone visits than televideo visits (e.g., 25.9% of all Black patients' visits were via telephone vs. 17.1% via televideo; p < 0.001). In contrast, younger, Asian, and privately insured patients had significantly higher televideo visits. Conclusions: Our results suggest that telephone visits remain critical to the provision of health care for FQHC patients. They also suggest that disparities extend beyond the telehealth versus in-person dichotomy and inequities exist even within the type of telehealth used. This has implications for patient health, FQHC quality outcomes, as well as optimal Medicaid telehealth reimbursement policy.

Barriers to Telehealth Utilization Among Patients of Limited Income with Chronic Conditions and a Gap in Care

Objective: This study assessed barriers and facilitators to telehealth utilization among patients living in New York City public housing with chronic conditions and a gap in clinical care. Methods: Community health workers performed outreach to eligible patients by telephone between January and March 2021. Consenting respondents answered questions about telehealth barriers, including internet and cell phone access, ownership of digital devices, comfort with using digital devices, comfort with telehealth, cost, awareness, and availability of written materials in patients' preferred language. We obtained demographic and medical information from patients' electronic health records. We used multivariable logistic regression to estimate the association of barriers with the odds of self-reported prior telehealth utilization. Results: A total of 304 consenting patients participated in the program. The average patient had 3.1 telehealth barriers; 76% reported at least one barrier. Regression analysis showed sizable reductions in prior telehealth utilization associated with the barriers of unlimited cell phone minutes (odds ratio [OR]: 0.21 [0.05-0.88], p = 0.033), technological comfort (OR: 0.33 [0.13-0.82], p = 0.016), conceptual comfort with telehealth (OR: 0.15 [0.04-0.54], p = 0.004), and materials in the patient's preferred language (OR: 0.23 [0.07-0.79], p = 0.02). Discussion: With a high prevalence of telehealth barriers, patients with limited income, a chronic condition, and a care gap may benefit from greater technological access and supportive programs for awareness, telehealth comfort, and navigation support. Addressing telehealth barriers could increase the quality of medical care and improve health outcomes for this population.

Telehealth and Health Equity in Older Adults With Heart Failure: A Scientific Statement From the American Heart Association

Enhancing access to care using telehealth is a priority for improving outcomes among older adults with heart failure, increasing quality of care, and decreasing costs. Telehealth has the potential to increase access to care for patients who live in underresourced geographic regions, have physical disabilities or poor access to transportation, and may not otherwise have access to cardiologists with expertise in heart failure. During the COVID-19 pandemic, access to telehealth expanded, and yet barriers to access, including broadband inequality, low digital literacy, and structural barriers, prevented many of the disadvantaged patients from getting equitable access. Using a health equity lens, this scientific statement reviews the literature on telehealth for older adults with heart failure; provides an overview of structural, organizational, and personal barriers to telehealth; and presents novel interventions that pair telemedicine with in-person services to mitigate existing barriers and structural inequities.

Individual- and neighborhood-level characteristics of lung cancer screening participants undergoing telemedicine shared decision making

BACKGROUND

Although lung cancer screening (LCS) for high-risk individuals reduces lung cancer mortality in clinical trial settings, many questions remain about how to implement high-quality LCS in real-world programs. With the increasing use of telemedicine in healthcare, studies examining this approach in the context of LCS are urgently needed. We aimed to identify sociodemographic and other factors associated with screening completion among individuals undergoing telemedicine Shared Decision Making (SDM) for LCS.

METHODS

This retrospective study examined patients who completed Shared Decision Making (SDM) via telemedicine between May 4, 2020 - March 18, 2021 in a centralized LCS program. Individuals were categorized into Complete Screening vs. Incomplete Screening subgroups based on the status of subsequent LDCT completion. A multi-level, multivariate model was constructed to identify factors associated with incomplete screening.

RESULTS

Among individuals undergoing telemedicine SDM during the study period, 20.6% did not complete a LDCT scan. Bivariate analysis demonstrated that Black/African-American race, Medicaid insurance status, and new patient type were associated with greater odds of incomplete screening. On multi-level, multivariate analysis, individuals who were new patients undergoing baseline LDCT or resided in a census tract with a high level of socioeconomic deprivation had significantly higher odds of incomplete screening. Individuals with a greater level of education experienced lower odds of incomplete screening.

CONCLUSIONS

Among high-risk individuals undergoing telemedicine SDM for LCS, predictors of incomplete screening included low education, high neighborhood-level deprivation, and new patient type. Future research should focus on testing implementation strategies to improve LDCT completion rates while leveraging telemedicine for high-quality LCS.

Differential care-seeking behaviors during the beginning of the COVID-19 pandemic in Michigan: a population-based cross-sectional study

BACKGROUND

At the beginning of the COVID-19 pandemic in the United States in the spring of 2020, many Americans avoided the healthcare system, while those with COVID-19 symptoms were faced with decisions about seeking healthcare services for this novel virus.

METHODS

Using a probability sample (n = 1088) from the Michigan adult population of PCR-confirmed COVID-19 cases who were diagnosed prior to July 31, 2020, we used logistic regression to examine sociodemographic and symptom severity predictors of care-seeking behaviors. The analyses examined three different outcomes: (1) whether respondents sought care and, among those who sought care, whether they sought care from (2) a primary care provider or (3) an emergency room. Final models were adjusted for sex, age, race and ethnicity, income, education, marital status, living arrangement, health insurance, and self-reported symptom severity.

RESULTS

We found that participants ages 65 and older had 4.00 times higher odds of seeking care than 18-34-year-olds (95% CI: 2.21, 7.24), while adults reporting very severe symptoms had roughly 15 times higher odds of seeking care than those with mild symptoms (95% CI: 7.73, 27.01). Adults who were non-Hispanic Black or were uninsured had lower odds of seeking care from a primary care physician versus seeking care from other locations in comparison to adults who were non-Hispanic White or were privately insured, respectively (non-Hispanic Black: aOR = 0.27, 95% CI: 0.16, 0.44; Uninsured: aOR = 0.19, 95% CI: 0.09, 0.42). Conversely, adults who were older or reported more severe symptoms had higher odds of seeking care from an emergency room versus other locations in comparison to adults who were younger or reported less severe symptoms (Age 65+: aOR = 2.96, 95% CI: 1.40, 6.28; Very Severe Symptoms: aOR = 6.63, 95% CI: 3.33, 13.20).

CONCLUSIONS

Our results suggest differential utilization of healthcare services early in the COVID-19 pandemic. Further analyses are needed to examine the reasons for these differences.

A patient education intervention improved rates of successful video visits during rapid implementation of telehealth

INTRODUCTION

The need to rapidly implement telehealth at large scale during the COVID-19 pandemic led to many patients using telehealth for the first time. We assessed the effect of structured pre-visit preparatory telephone calls on success of telehealth visits and examined risk factors for unsuccessful visits.

METHODS

A retrospective cohort study was carried out of 45,803 adult patients scheduled for a total of 64,447 telehealth appointments between March and July 2020 at an academic medical center. A subset of patients received a structured pre-visit phone call. Demographic factors and inclusion of a pre-visit call were analysed by logistic regression. Primary outcomes were non-completion of any visit and completion of phone-only versus audio-visual telehealth visits.

RESULTS

A pre-visit telephone call to a subset of patients significantly increased the likelihood of a successful telehealth visit (OR 0.54; 95% CI: 0.48-0.60). Patients aged 18-30 years, those with non-commercial insurance or those of Black race were more likely to have incomplete visits. Compared to age 18-30, increasing age increased likelihood of a failed video visit: 31-50 years (OR 1.31; 95% CI: 1.13-1.51), 51-70 years (OR 2.98; 2.60-3.42) and >70 years (OR 4.16; 3.58-4.82). Those with non-commercial insurance and those of Black race (OR 1.8; 95% CI 1.67-1.92) were more likely to have a failed video visit.

DISCUSSION

A structured pre-call to patients improved the likelihood of a successful video visit during widespread adoption of telehealth. Structured pre-calls to patients may be an important tool to help reduce gaps in utilization among groups.

Patient- and Provider-Level Factors Associated With Telehealth Utilization Across a Multisite, Multiregional Cancer Practice From 2019 to 2021

PURPOSE

In response to the COVID-19 pandemic, many cancer practices rapidly adopted telehealth services. However, there is a paucity of data regarding ongoing telehealth visit utilization beyond this initial response. The purpose of this study was to assess changes in variables associated with telehealth visit utilization over time.

METHODS

This is a cross-sectional, year-over-year, retrospective analysis of telehealth visits conducted across a multisite, multiregional cancer practice in the United States. Multivariable models examined the association of patient- and provider-level variables with telehealth utilization across outpatient visits conducted over three 8-week periods from July to August in 2019 (n = 32,537), 2020 (n = 33,399), and 2021 (n = 35,820).

RESULTS

The rate of telehealth utilization increased from <0.01% (2019) to 11% (2020) to 14% (2021). The most significant patient-level factors associated with increased telehealth utilization included nonrural residence and age ≤65 years. Among patients residing in rural settings, video visit utilization rates were significantly lower and phone visit utilization rates were significantly higher compared with patients from nonrural residences. Regarding provider-level factors, widening differences in telehealth utilization were observed at tertiary versus community-based practice settings. Increased telehealth utilization was not associated with duplicative care as per-patient and per-physician visit volumes in 2021 remained consistent with prepandemic levels.

CONCLUSION

We observed continuous expansion in telehealth visit utilization from 2020 to 2021. Our experiences suggest that telehealth can be integrated into cancer practices without evidence of duplicative care. Future work should examine sustainable reimbursement structures and policies to ensure accessibility of telehealth as a means to facilitate equitable, patient-centered cancer care.

Pediatric Telehealth Access and Utilization in Chicago During the First Year of the COVID-19 Pandemic

Background: The COVID-19 pandemic demanded rapid development of telemedicine services for pediatric care and highlighted disparities for marginalized communities. Objective: To understand the demographic characteristics of patients with completed and incomplete telemedicine visits at Ann and Robert H. Lurie Children's Hospital of Chicago. Methods: This was a cross-sectional retrospective analysis of telemedicine visits for patients <25 years old scheduled between March 21, 2020, and March 17, 2021. We examined visit outcomes and compared outcomes by race/ethnicity, language, and payer using logistic regression. Geographic information system mapping and linear regression were used to examine the relationship between incomplete visits and broadband access within Cook County. Results: A total of 13,655 eligible video visits were scheduled for children within 147 ZIP codes during the study time frame. Patient characteristics included median age 9 years, 53% female, 42% non-Latinx White, 31% Latinx, 13% non-Latinx Black, 11% non-Latinx other, and 3% declined/unknown. Preferred language was 89% English, 10% Spanish, and 1% other. Payer was 56% private, 43% public, and <1% other/self-pay. Overall, 86% video visits were completed, 7% cancelled, and 7% no-show with significant variation by patient demographic. Odds of incomplete visits were higher for Latinx patients (odds ratio [OR] 1.93) and non-Latinx Black patients (OR 2.33) than for non-Latinx White patients, patients with preferred language other than English (OR 1.53), and patients not privately insured (OR 1.89). Incomplete visit rates and broadband access were inversely related. Conclusion: System and policy solutions are needed to ensure equitable access and address disparities in incomplete telemedicine visits for marginalized populations in urban areas with lower broadband.

Racial and ethnic disparities in telehealth use before and after California's stay-at-home order

Introduction

Telehealth can potentially improve the quality of healthcare through increased access to primary care. While telehealth use increased during the COVID-19 pandemic, racial/ethnic disparities in the use of telemedicine persisted during this period. Little is known about the relationship between health coverage and patient race/ethnicity after the onset of the COVID-19 pandemic.

Objective

This study examines how differences in patient race/ethnicity and health coverage are associated with the number of in-person vs. telehealth visits among patients with chronic conditions before and after California's stay-at-home order (SAHO) was issued on 19 March 2020.

Methods

We used weekly patient visit data (in-person (N = 63, 491) and telehealth visits (N = 55, 472)) from seven primary care sites of an integrated, multi-specialty medical group in Los Angeles County that served a diverse patient population between January 2020 and December 2020 to examine differences in telehealth visits reported for Latino and non-Latino Asian, Black, and white patients with chronic conditions (type 2 diabetes, pre-diabetes, and hypertension). After adjusting for age and sex, we estimate differences by race/ethnicity and the type of insurance using an interrupted time series with a multivariate logistic regression model to study telehealth use by race/ethnicity and type of health coverage before and after the SAHO. A limitation of our research is the analysis of aggregated patient data, which limited the number of individual-level confounders in the regression analyses.

Results

Our descriptive analysis shows that telehealth visits increased immediately after the SAHO for all race/ethnicity groups. Our adjusted analysis shows that the likelihood of having a telehealth visit was lower among uninsured patients and those with Medicaid or Medicare coverage compared to patients with private insurance. Latino and Asian patients had a lower probability of telehealth use compared with white patients.

Discussion

To address access to chronic care management through telehealth, we suggest targeting efforts on uninsured adults and those with Medicare or Medicaid coverage, who may benefit from increased telehealth use to manage their chronic care.

Persistence of Unequal Access to Classical Hematology Telemedicine Visits by Race and Other Demographics During the COVID-19 Pandemic

Background: Unequal access to telemedicine services exacerbates health inequities and was evident at the start of the COVID-19 pandemic. We sought to explore whether unequal access persisted within a classical hematology division beyond the peak of COVID-19. Methods: Patient demographics by virtual visit type (telephone only [TO] or video only [VO]) between March 2020 and December 2021 were analyzed using adjusted odds ratio (aOR). Results: Of 8,207 patients, 18.4% had TO and 28.4% had VO visits. Fewer Black (21.8%; aOR 0.5 [0.4-0.62]), Hispanic or Latino (18.8%; 0.45 [0.34-0.59]), Spanish-speaking (7.6%; 0.32 [0.19-0.54]), high school (21.2%; 0.64 [0.52-0.78]), and older (24.2%) patients used VO compared with White (30.6%), English-speaking (29.5%), college (31%), postgraduate (34.9%), and younger (35.4%) patients. Conclusions: Groups that historically experience health inequities had fewer VO visits during and beyond the pandemic peak. Thus, there is a need to continue digital inclusion efforts to promote video access equity.

Access to Technology and Digital Literacy as Determinants of Health and Health Care

Access to and the skills to use technology provide the digital equity necessary for civic and cultural participation, employment, lifelong learning, and access to essential services. However, existing digital disparities and the resultant 'digital divide' risk exacerbating health and health-care inequalities. The COVID-19 pandemic amplified these disparities and accelerated the adoption of technology-driven health care such as telehealth, electronic health records, and digital health technologies. Unfortunately, pre-existing disparities influence the adoption and utilization of these technologies, often leaving disadvantaged groups further behind. Efforts toward digital inclusion, access to technology, and digital literacy are necessary to ensure universal access to and meaningful engagement with digital resources. Nurses play a vital role in promoting digital equity, serving as educators, advocates, and digital navigators, guiding patients through the complexities of the digital health landscape.

Narrowing the Divide: The Role of Telehealth in Type 1 Diabetes Care for Marginalized Communities

Widespread uptake of telehealth in response to the COVID-19 pandemic has highlighted geographic, demographic, and economic disparities in access to virtual care. However, research studies and clinical programs that predate the pandemic demonstrate the potential for telehealth-based interventions to improve access to and outcomes of type 1 diabetes (T1D) care for individuals in geographically or socially marginalized communities. In this expert commentary, we discuss telehealth-based care models that have been successful in improving care for marginalized T1D populations. We also outline the policy changes needed to expand access to such interventions to reduce established disparities in T1D care and promote better health equity among people living with T1D.

Patient-Reported Outcomes, Digital Health, and the Quest to Improve Health Equity

The theme of the 2023 American Society of Clinical Oncology Annual Meeting is Partnering With Patients: The Cornerstone of Cancer Care and Research. As we aim to partner with patients to improve their health care, digital tools have the potential to enhance patient-centered cancer care and make clinical research more accessible and generalizable. Using electronic patient-reported outcomes (ePROs) to collect patients' reports of symptoms, functioning, and well-being facilitates patient-clinician communication and improves care and outcomes. Early studies suggest that racial and ethnic minority populations, older patients, and patients with less education may benefit even more from ePRO implementation. Clinical practices looking to implement ePROs can refer to the resources of the PROTEUS Consortium (Patient-Reported Outcomes Tools: Engaging Users & Stakeholders). Beyond ePROs, in response to the COVID-19 pandemic, cancer practices have rapidly adopted other digital tools (eg, telemedicine, remote patient monitoring). As implementation grows, we must be aware of the limitations of these tools and implement them in ways to promote optimal function, access, and ease of use. Infrastructure, patient, provider, and system-level barriers need to be addressed. Partnerships across all levels can inform development and implementation of digital tools to meet the needs of diverse groups. In this article, we describe how we use ePROs and other digital health tools in cancer care, how digital tools can expand access to and generalizability of oncology care and research, and prospects for broader implementation and use.

Telehealth Usage Among Low-Income Racial and Ethnic Minority Populations During the COVID-19 Pandemic: Retrospective Observational Study

BACKGROUND

Despite considerable efforts to encourage telehealth use during the COVID-19 pandemic, we witnessed a potential widening of health inequities that may continue to plague the US health care system unless we mitigate modifiable risk factors.

OBJECTIVE

This study aimed to examine the hypothesis that there are systemic differences in telehealth usage among people who live at or below 200% of the federal poverty level. Factors that we consider are age, gender, race, ethnicity, education, employment status, household size, and income.

METHODS

A retrospective observational study was performed using the COVID-19 Research Database to analyze factors contributing to telehealth inequities. The study period ranged from March 2020 to April 2021. The Office Ally database provided US claims data from 100 million unique patients and 3.4 billion claims. The Analytics IQ PeopleCore Consumer database is nationally representative of 242.5 million US adults aged 19 years and older. We analyzed medical claims to investigate the influence of demographic and socioeconomic factors on telehealth usage among the low-income racial and ethnic minority populations. We conducted a multiple logistic regression analysis to determine the odds of patients in diverse groups using telehealth during the study period.

RESULTS

Among 2,850,831 unique patients, nearly 60% of them were female, 75% of them had a high school education or less, 49% of them were unemployed, and 62% of them identified as non-Hispanic White. Our results suggest that 9.84% of the patients had ≥1 telehealth claims during the study period. Asian (odds ratio [OR] 1.569, 95% CI 1.528-1.611, P<.001) and Hispanic (OR 1.612, 95% CI 1.596-1.628, P<.001) patients were more likely to use telehealth than non-Hispanic White and -Black patients. Patients who were employed full-time were 15% (OR 1.148, 95% CI 1.133-1.164, P<.001) more likely to use telehealth than unemployed patients. Patients who identified as male were 12% (OR 0.875, 95% CI 0.867-0.883, P<.001) less likely to use telehealth than those who identified as female. Patients with high school education or less were 5% (OR 0.953, 95% CI 0.944-0.962, P<.001) less likely to use telehealth than those with a bachelor's degree or higher. Patients in the 18-44-year age group were 32% (OR 1.324, 95% CI 1.304-1.345, P<.001) more likely to use telehealth than those in the ≥65-year age group.

CONCLUSIONS

Factors that impact telehealth usage include age, gender, race, education, employment status, and income. While low-income racial and ethnic minority communities are at greater risk for health inequities among this group, Hispanic communities are more likely to use telehealth, and non-Hispanic Black patients continue to demonstrate telehealth inequity. Gender, age, and household income contribute to health inequities across gradients of poverty. Strategies to improve health use should consider characteristics of subgroups, as people do not experience poverty equally.

Demographic differences in services utilization across in-person (2019), telehealth (2020), and hybrid (2021) outpatient substance use services in New York

OBJECTIVES

Many outpatient substance use programs have experienced in-person, remote/telehealth, and hybrid models of care since the 2020 Covid-19 Pandemic. Changes in treatment models naturally affect service utilization and may affect treatment trajectories. Currently, limited research examines the implications of different health care models on service utilization and patient outcomes in substance use treatment. Here, we reflect on the implications of each model from a patient-centered care approach and review the implications on service utilization and outcomes.

METHODS

We employed a retrospective, observational, longitudinal, cohort design to explore differences in demographic characteristics and service utilization among patients receiving in-person, remote, or hybrid services across five substance use clinics in New York. We reviewed admission (N = 2238) and discharge (N = 2044) data from four outpatient SUD clinics within the same health care system across three cohorts (2019, in-person; 2020, remote; 2021, hybrid).

RESULTS

Patients discharged in 2021 (hybrid) had significantly more median total treatment visits (M = 26, p ≤ 0.0005), a longer course of treatment (M = 154.5 days, p ≤ 0.0001), and more individual counseling sessions (M = 9, p ≤ 0.0001) compared to the other two cohorts. Demographic analyses indicate more ethnoracial diversity (p = 0.0006) among patients admitted in 2021, compared to the other two cohorts. Over time, the proportion of individuals being admitted with a co-existing psychiatric disorder (2019, 49 %; 2020; 55.4 %, 2021, 54.9 %) and no prior mental health treatment (2019, 49.4 %; 2020, 46.0 %; 2021, 69.3 %) increased (p = 0.0001). Admissions in 2021 were more likely to be self-referred (32.5 %, p < 0.0001), employed full-time (39.5 %, p = 0.01), and have higher educational attainment (p = 0.0008).

CONCLUSION

During hybrid treatment in 2021, patients from a wider range of ethnoracial backgrounds were admitted and retained in care, patients with higher socioeconomic status (who were previously less likely to enter treatment) were admitted, and fewer individuals left against clinical advice (compared to the remote 2020 cohort). More patients successfully completed treatment in 2021. Service utilization, demographic, and outcome trends support a hybrid model of care.

Remote Provision of Medication Abortion and Contraception Through Telemedicine

This Narrative Review describes the remote provision of family planning services, including medication abortion and contraception, through telemedicine. The coronavirus disease 2019 (COVID-19) pandemic was a catalyst to shift toward telemedicine to maintain and expand access to crucial reproductive health services when public health measures necessitated social distancing. There are legal and political considerations when providing medication abortion through telemedicine, along with unique challenges, even more so after the Dobbs decision starkly limited options for much of the country. This review includes the literature describing the logistics of telemedicine and modes of delivery for medication abortion and details special considerations for contraceptive counseling. Health care professionals should feel empowered to adopt telemedicine practices to provide family planning services to their patients.

Improved outpatient medical visit compliance with sociodemographic discrepancies in vascular telehealth evaluations

OBJECTIVE

The COVID-19 (coronavirus disease 2019) pandemic has led to a rapid expansion in the use of telemedicine across all medical fields but has also exposed telehealth care disparities with differing access to technology across racial and ethnic groups. The objective of our study was to investigate the effects of telehealth on vascular visit compliance and to explore the effects of sociodemographic factors on vascular surgery outpatient telehealth usage during the COVID-19 pandemic.

METHODS

Consecutive patients who had undergone an outpatient vascular surgery evaluation between February 24, 2020 (the launch of our telemedicine program) and December 31, 2020, were reviewed. The baseline demographic and outcomes were obtained from the electronic medical records. Telehealth and in-person evaluations were defined according to the patient's index visit during the study period. Medical visit compliance was established on completion of the telehealth or in-person encounter. We used χ² tests and logistic regression analyses.

RESULTS

A total of 23,553 outpatient visits had been scheduled for 10,587 patients during the study period. Of the outpatient visits, 1559 had been scheduled telehealth encounters compared with 21,994 scheduled in-person encounters. Of the scheduled outpatient encounters, 13,900 medical visits (59.0%) had been completed: 1183 telehealth visits and 12,717 in-person visits. The mean travel distance saved for the telehealth visits was 22.1 ± 27.1 miles, and the mean travel time saved was 46.3 ± 41.47 minutes. We noted no sociodemographic differences between the patients scheduled for telehealth vs in-person visits. We found a trend toward a lower proportion of African-American patients in the telehealth group vs the in-person group (7.8% vs 10.6%; P = .116), without statistical significance. A significantly higher rate of medical visit completion was found for the telehealth group compared with the in-person group (79.5% vs 59.4%; P < .001). Among the patients scheduled for an outpatient medical visit, a scheduled telemedicine evaluation (vs in-person) was associated with 2.3 times the odds of completing the medical visit (odds ratio, 2.31; 95% confidence interval, 2.05-2.61), adjusting for age, sex, race, ethnicity, language, and the distance between the patient's home zip code and the outpatient vascular center's zip code. Selecting for scheduled telemedicine visits, African-American race was associated with a decreased odds of telemedicine usage (odds ratio, 0.73; 95% confidence interval, 0.59-0.90) after adjusting for age, sex, ethnicity, language, and visit type.

CONCLUSIONS

Use of the vascular surgery outpatient telehealth evaluation appeared to improve medical visit completion in our region with apparent sociodemographic disparities. Further studies are needed to confirm whether telemedicine expansion has improved access to care in other geographic areas.

Changes in the use and uptake of a national out-of-hours telephone triage service by younger and older patients seeking non-urgent unplanned care surrounding the COVID-19 pandemic in Flanders (Belgium)

BACKGROUND

This study seeks to examine if and how the COVID-19 pandemic has prompted changes in the use and uptake of a national out-of-hours (OOH) telephone triage service by younger and older patients seeking non-urgent unplanned care in Flanders (Belgium).

METHODS

A descriptive study was conducted using registry data obtained from the 1733 OOH telephone triage service in a Flemish region of Belgium. All calls received between 1 January 2019 and 31 December 2020 were analyzed.

RESULTS

A significant association was found between patient age and period of call (χ² = 594.54, p < .001). Calls made to the 1733 OOH telephone triage service were significantly less likely to be dispatched to a higher level of urgency by operators compared to calls made before the COVID-19 period (OR = 0.80, 95% CI [0.74-0.85]). While calls concerning older adults were significantly more likely to be dispatched to a higher level of urgency by operators compared to younger adults (regardless of period of call) (65 to 74 yrs: OR = 5.75, 95% CI [4.86-6.80]; 75 to 84 yrs: OR = 15.21, 95% CI [13.18-17.56]; ≥ 85 yrs: OR = 28.77, 95% CI [25.01-33.09]), only 6.7% of all COVID-19 related calls involved older adults over 65 years of age.

CONCLUSION

Findings showed that there was a general decline in the number of calls dispatched to a higher level of urgency by operators during the COVID-19 period but that there were differences in the use and uptake of these services by younger and older age segments.

Use of and Attitudes About Telelactation Services among New Parents

Background: We conducted a national, cross-sectional survey among new parents to explore use and acceptability of telelactation. Methods: Recruitment occurred between October 2021 and January 2022 on Ovia's parenting mobile phone application. Poststratification survey weights were used, and logistic and linear regression models estimated associations between demographics and telelactation use. Results: Among 1,617 respondents, 33.8% had at least one telelactation visit. Odds of any telelactation visit(s) were greater for parents who gave birth in 2021 versus 2019 (odds ratio [OR]: 1.69, 95% confidence interval [CI]: 1.26-2.25), insured by Medicaid (OR: 1.43, 95% CI: 1.02-2.02), and younger parents (OR: 2.07, 95% CI: 1.32-3.34). In total, 56.0% agreed that they would be comfortable breastfeeding over video to get help, and 27.6% agreed that lactation support over video is as good as in-person support. Conclusions: Telelactation is increasingly common and acceptable to many parents.

Mobile Integrated Health Interventions for Older Adults: A Systematic Review

Background and Objectives

Mobile integrated health (MIH) interventions have not been well described in older adult populations. The objective of this systematic review was to evaluate the characteristics and effectiveness of MIH programs on health-related outcomes among older adults.

Research Design and Methods

We searched Ovid MEDLINE, Ovid EMBASE, CINAHL, AgeLine, Social Work Abstracts, and The Cochrane Library through June 2021 for randomized controlled trials or cohort studies evaluating MIH among adults aged 65 and older in the general community. Studies were screened for eligibility against predefined inclusion/exclusion criteria. Using at least 2 independent reviewers, quality was appraised using the Downs and Black checklist and study characteristics and findings were synthesized and evaluated for potential bias.

Results

Screening of 2,160 records identified 15 studies. The mean age of participants was 67 years. The MIH interventions varied in their focus, community paramedic training, types of assessments and interventions delivered, physician oversight, use of telemedicine, and post-visit follow-up. Studies reported significant reductions in emergency call volume (5 studies) and immediate emergency department (ED) transports (3 studies). The 3 studies examining subsequent ED visits and 4 studies examining readmission rates reported mixed results. Studies reported low adverse event rates (5 studies), high patient and provider satisfaction (5 studies), and costs equivalent to or less than usual paramedic care (3 studies).

Discussion and Implications

There is wide variability in MIH provider training, program coordination, and quality-based metrics, creating heterogeneity that make definitive conclusions challenging. Nonetheless, studies suggest MIH reduces emergency call volume and ED transport rates while improving patient experience and reducing overall health care costs.

Telehealth information and communication technology access for family caregivers of people with intellectual and developmental disabilities and mental health needs

BACKGROUND

Telehealth is increasingly used to deliver mental health services. However, the potential benefits of telehealth for people with intellectual and developmental disabilities and mental health needs (IDD-MH) may not be fully realized. This study addresses gaps in knowledge about access to information and communication technologies (ICTs) for individuals with IDD-MH from the perspective of their family caregivers.

OBJECTIVE

What factors are associated with access to ICTs among family caregivers of people with IDD-MH who use START services?

METHODS

Retrospective analysis of cross-sectional interview data gathered for START use at the onset of COVID-19. START is a crisis prevention and intervention evidence-based model for people with IDD-MH implemented across the USA. To assess needs during COVID-19, START coordinators conducted interviews with 1455 family caregivers between March and July 2020. A multinomial regression model examined correlates of ICT access, as indicated by an index (poor, limited, and optimal access). Correlates included the level of IDD, age, gender, race, ethnicity, rural setting of the person with IDD-MH, and caregiver status.

RESULTS

Age (ages 23-30 years) and sole caregiver status were significantly associated with limited access (both p ≤ .001). Age (ages 23-30 years and ≥31 years, p < .001), race (Black or African American, p = .001), ethnicity (Hispanic, p = .004), and sole caregiver status (p < .001) were significantly associated with poor access.

CONCLUSIONS

Disparities existed in ICT access for adults, specific racial/ethnic groups, and sole caregiver households. Healthcare policy related to telehealth must consider how ICT access can be equitable for all users with IDD-MH.

Evaluation of Telehealth in Child Behavioral Health Services Delivery During the COVID-19 Pandemic

OBJECTIVE

The authors quantified the impact of the use of telehealth services on patient-level clinical outcomes among children with complex behavioral and emotional needs in Idaho during the COVID-19 pandemic by comparing data collected in 2020 with data for the same months in 2019.

METHODS

Longitudinal statewide data of Child and Adolescent Needs and Strengths (CANS) assessments were extracted from Idaho's mental and behavioral health system. Prepandemic assessments were matched to midpandemic assessments. A linear mixed-effect model was used to explore four child-level outcomes: psychosocial strengths-building rate, rate of need resolution within a life-functioning domain, rate of need resolution within a behavior-emotional domain, and rate of need resolution within a high-risk behaviors domain.

RESULTS

The number of new patients admitted to Idaho's state-funded mental and behavioral health program decreased almost twofold from April-December 2019 to April-December 2020 (N=4,458 vs. 2,794). For most children with complex needs, the use of telehealth was as effective in terms of strengths building and needs resolution as in-person services; for children whose caregivers had issues with access to transportation, availability of telehealth services improved outcomes for the children.

CONCLUSIONS

The COVID-19 pandemic in 2020 was associated with a dramatic drop in the number of children served by Idaho's mental health program. Telehealth may effectively bridge mental health service delivery while patients and providers work toward the resolution of transportation issues or may serve as a more acceptable permanent format of service delivery for some populations.

Rates of Primary Care and Integrated Mental Health Telemedicine Visits Between Rural and Urban Veterans Affairs Beneficiaries Before and After the Onset of the COVID-19 Pandemic

IMPORTANCE

Telemedicine can increase access to care, but uptake has been low among people living in rural areas. The Veterans Health Administration initially encouraged telemedicine uptake in rural areas, but telemedicine expansion efforts have broadened since the COVID-19 pandemic.

OBJECTIVE

To examine changes over time in rural-urban differences in telemedicine use for primary care and for mental health integration services among Veterans Affairs (VA) beneficiaries.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study examined 63.5 million primary care and 3.6 million mental health integration visits across 138 VA health care systems nationally from March 16, 2019, to December 15, 2021. Statistical analysis took place from December 2021 to January 2023.

EXPOSURES

Health care systems with most clinic locations designated as rural.

MAIN OUTCOMES AND MEASURES

For every system, monthly visit counts for primary care and mental health integration specialties were aggregated from 12 months before to 21 months after pandemic onset. Visits were categorized as in person or telemedicine, including video. A difference-in-difference approach was used to examine associations in visit modality by health care system rurality and pandemic onset. Regression models also adjusted for health care system size as well as relevant patient characteristics (eg, demographic characteristics, comorbidities, broadband internet access, and tablet access).

RESULTS

The study included 63 541 577 primary care visits (6 313 349 unique patients) and 3 621 653 mental health integration visits (972 578 unique patients) (6 329 124 unique patients among the cohort; mean [SD] age, 61.4 [17.1] years; 5 730 747 men [90.5%]; 1 091 241 non-Hispanic Black patients [17.2%]; and 4 198 777 non-Hispanic White patients [66.3%]). In fully adjusted models for primary care services before the pandemic, rural VA health care systems had higher proportions of telemedicine use than urban ones (34% [95% CI, 30%-38%] vs 29% [95% CI, 27%-32%]) but lower proportions of telemedicine use than urban health care systems after pandemic onset (55% [95% CI, 50%-59%] vs 60% [95% CI, 58%-62%]), signifying a 36% reduction in the odds of telemedicine use (odds ratio [OR], 0.64; 95% CI, 0.54-0.76). The rural-urban telemedicine gap was even larger for mental health integration (OR, 0.49; 95% CI, 0.35-0.67) than for primary care services. Few video visits occurred across rural and urban health care systems (unadjusted percentages: before the pandemic, 2% vs 1%; after the pandemic, 4% vs 8%). Nonetheless, there were rural-urban divides for video visits in both primary care (OR, 0.28; 95% CI, 0.19-0.40) and mental health integration services (OR, 0.34; 95% CI, 0.21-0.56).

CONCLUSIONS AND RELEVANCE

This study suggests that, despite initial telemedicine gains at rural VA health care sites, the pandemic was associated with an increase in the rural-urban telemedicine divide across the VA health care system. To ensure equitable access to care, the VA health care system's coordinated telemedicine response may benefit from addressing rural disparities in structural capacity (eg, internet bandwidth) and from tailoring technology to encourage adoption among rural users.

Telehealth use by walk-in patients who subsequently visited an academic emergency department: a repeated cross-sectional study during the COVID-19 summer 2021

AIM OF THE STUDY

During the COVID-19 pandemic, telehealth use increased worldwide in a variety of medical specialities and reached new population groups. A baseline survey of telehealth use prior to admission to the emergency department (ED) conducted before COVID-19 concluded that predominantly well-educated men used telehealth. It is unclear how COVID-19 changed the use of telehealth in Swiss emergency patients. We therefore aimed to investigate (i) the frequency of telehealth use during the pandemic, and (ii) how the pandemic has influenced telehealth use and users.

MATERIALS AND METHODS

A repeated cross-sectional study was conducted among ED walk-in patients at a tertiary university hospital in Switzerland. The study took place one and a half years after the first confirmed COVID-19 case, during 30 shifts from 8 to 29 July 2021 and compared with the baseline survey conducted in 2019. Eligible patients were questioned about their use of, and attitudes to telehealth.

RESULTS

A total of 1020 patients were screened for the COVID survey and 443 complete questionnaires were evaluated. A trend towards a general increase (+6.4%) in telehealth use was demonstrated (50.3%, n = 223 COVID survey vs 43.9%, n = 183 baseline survey; p = 0.058), with a shift to more female patients using telehealth in the COVID survey (female 54.9%, n = 124 vs 45.1%, n = 102; p = 0.052). During the pandemic, first use of telehealth was reported by 12.2% (n = 54) of patients, with a significant increase among patients with low educational status, and the latter patients often indicated that they did not plan to use telehealth after the pandemic. The perceived usefulness of telehealth and adherence to recommendations increased in the COVID survey compared with the baseline survey (adherence 90.3%, n = 149, vs 78.0%, n = 131; p = 0.002).

CONCLUSION

We found a trend towards increased use of telehealth among Swiss ED patients. First-time users of telehealth were predominantly less educated and inclusion of these user groups may not be sustainable, as was indicated by the patients. COVID-19 led to greater adherence to telehealth recommendations and higher perceived usefulness. This could be due to the limited access to healthcare providers due to pandemic precautions. When offering telehealth, the needs of all patient groups must be considered, in order to ensure that telehealth provides the greatest benefit with lower barriers to use.

Teleservices use among Latinx immigrant families during the Covid-19 pandemic

Remote services are a promising option to reduce access to services inequities among underserved populations, such as immigrants families. There is evidence that Latinx immigrant families have used teleservices at lower rates than other families during the pandemic. This research explored the factors that prevented Latinxs immigrant families from engaging in teleservices during the Covid-19 pandemic. Using an inductive thematic approach, we interviewed 21 providers of services and key informants who worked with Latinxs families. Nonparticipation was driven by services unawareness, documentation requirements, a digital divide, and safety concerns. Implications for policy and practice concerning the implementation of remote services for immigrant families are discussed.

Examining Health Disparities in Orthopedic Care During COVID-19

BACKGROUND

Demographics and socioeconomic status affect the delivery of medical care resulting in healthcare disparities. The purpose of this study was to investigate the impact of COVID-19 on existing healthcare disparities, including access to healthcare in the outpatient orthopedic surgery clinic.

METHODS

The medical records of 3006 patients treated at the University of Kentucky Orthopedic Surgery Department prior to COVID-19 (April 2018, 2019), and during the COVID-19 pandemic (2020) were retrospectively reviewed for demographic data, distance to clinic, and type of visit. We then compared the total number of patient visits, new patient visits, telehealth visits, and the patient's insurance provider (public or private) between the time period prior to and during the pandemic.

RESULTS

During the COVID-19 pandemic, there were significant declines in the number of patients seen, new patient presentations, and publicly insured patients. Thirty-three percent of visits were telemedicine visits in 2020 compared to 0% pre-COVID (P < .0001). There was a lower proportion of initial visits in 2020 (P < .0001). The majority of patients paid via private/commercial insurance (1798, 59.8%), with a greater proportion paying via private/commercial insurance in 2020 (P < .001). The median average household income was increased in 2020 (P < .001).

DISCUSSION

While COVID-19 resulted in a significant decline in overall access to care, there were negative ramifications particularly on patients with new complaints and those of lower socioeconomic status. Future endeavors should be focused on correcting the obstacles to accessing care, exacerbated by the pandemic, that these vulnerable populations face.

Exploring perceptions, knowledge, and attitudes regarding pharmacogenetic testing in the medically underserved

Introduction: Pharmacogenetic testing may hold promise in addressing health disparities, as medically underserved patients appear to be prescribed medications with pharmacogenetic guidelines at higher rates. While routine clinical implementation of testing in medically underserved populations has not yet been achieved, using patient perspectives to inform implementation should increase the likelihood of success. The aim of this study was to assess the perceptions, knowledge, and attitudes regarding pharmacogenetic testing in medically underserved patients. Methods: We developed a survey instrument to assess respondent views on pharmacogenetic testing. The survey instrument was developed through a process of literature review, expert input, iterative pilot testing, and final refinement. The survey instrument was fielded to US adults with an estimated household income of $42,000 per year or less. Results: During the survey instrument development, 59 pilot testers provided 133 comments which lead to 38 revisions to the survey instrument. The nationwide survey resulted in 1,060 respondents, of which half (49.8%) reported having no health insurance or being on Medicaid. Most patients (78.9%) had not previously heard of pharmacogenetic testing. After being provided an explanation of pharmacogenetic testing, 60.5% were very or moderately interested in receiving testing if there were no cost and 75.8% of respondents agreed or strongly agreed that pharmacogenetic testing should be available to help with medication selection regardless of cost. Respondents shared that their greatest concern with pharmacogenetic testing was that the test would cost them money, which was expressed by over half (52.7%). This was followed by concerns that the results could reveal a risk for a disease, could affect health insurance, and would not improve care. Discussion: Our results indicate a strong interest in pharmacogenetic testing and identify key perceptions, attitudes, concerns, and potential barriers that can be addressed as pharmacogenetic testing is clinically implemented in medically underserved patient populations.

Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review

Purpose

A total of 537 million suffered from diabetes mellitus in 2021, and the aging of the population will not abate this number in the future. Diabetes predisposes people to ailments and doubles the risk of COVID-19 mortality. mHealth has shown promise to help manage diabetes. The aim of this review is to objectively analyze research from the last 2.5 years to assess effectiveness where mHealth has been used as an intervention to help manage diabetes in older patients. We also analyzed patient satisfaction, quality, and barriers to adoption of mHealth to manage diabetes.

Patients and Methods

No human subjects were involved in this review. We queried four research databases for mHealth to manage diabetes in older adults. We conducted the review based on the Kruse Protocol for writing as systematic review and we reported our findings in accordance with PRISMA (2020).

Results

Thirty research articles from 11 countries were analyzed. Five interventions of mHealth were identified. Of these mHealth Short Message service (SMS) helped change behavior and encouraged self-care. mHealth SMS coupled with telemedicine for coaching showed positive effects on weight loss, BMI, diet, exercise, HbA1C, disease awareness, blood pressure, cholesterol, medication adherence, and foot care.

Conclusion

mHealth SMS coupled with telemedicine for coaching shows the greatest promise for educating, changing behavior, and realizing positive outcomes across a broad spectrum of health factors. The largest drawback is the cost of acquiring equipment and training users.

Risk factors for incomplete telehealth appointments among patients with inflammatory bowel disease

Background

The COVID-19 pandemic led to the urgent implementation of telehealth visits in inflammatory bowel disease (IBD) care; however, data assessing feasibility remain limited.

Objectives

We looked to determine the completion rate of telehealth appointments for adults with IBD, as well as to evaluate demographic, clinical, and social predictors of incomplete appointments.

Design

We conducted a retrospective analysis of all patients with IBD who had at least one scheduled telehealth visit at the NYU IBD Center between 1 March 2020 and 31 August 2021, with only the first scheduled telehealth appointment considered.

Methods

Medical records were parsed for relevant covariables, and multivariable logistic regression was used to estimate the adjusted association between demographic factors and an incomplete telehealth appointment.

Results

From 1 March 2020 to 31 August 2021, there were 2508 patients with IBD who had at least one telehealth appointment, with 1088 (43%) having Crohn's disease (CD), 1037 (41%) having ulcerative colitis (UC), and 383 (15%) having indeterminate colitis. Of the initial telehealth visits, 519 (21%) were not completed, including 435 (20%) among patients <60 years as compared to 84 (23%) among patients ⩾60 years (p = 0.22). After adjustment, patients with CD had higher odds of an incomplete appointment as compared to patients with UC [adjusted odds ratio (adjOR): 1.37, 95% confidence interval (CI): 1.10-1.69], as did females (adjOR: 1.26, 95% CI: 1.04-1.54), and patients who had a non-first-degree relative listed as an emergency contact (adjOR: 1.69, 95% CI: 1.16-2.44). While age ⩾60 years was not associated with appointment completion status, we did find that age >80 years was an independent predictor of missed telehealth appointments (adjOR: 2.92, 95% CI: 1.12-7.63) when compared to individuals aged 60-70 years.

Conclusion

Patients with CD, females, and those with less social support were at higher risk for missed telehealth appointments, as were adults >80 years. Engaging older adults via telehealth, particularly those aged 60-80 years, may therefore provide an additional venue to complement in-person care.

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.

Who Accesses Birth Control Online? An Analysis of Requests for Contraception Submitted to an Online Prescribing Platform in the United States

INTRODUCTION

Telehealth has the potential to increase contraceptive access. Little is known about the characteristics of people using online prescribing platforms or whether these services help fill access gaps.

METHODS

We analyzed requests for contraception submitted between July 2015 and September 2017 to an online prescribing platform that offers sexual and reproductive care in the United States. We analyzed the characteristics of people seeking contraceptives, prevalence of contraindications to hormonal contraception among contraceptive seekers, and extent to which online prescribing may close contraceptive access gaps.

RESULTS

A total of 38,439 requests for prescription hormonal birth control were received during the study period, with requests increasing dramatically over this timeframe as the platform expanded operations to an increasing number of states. Methods were dispensed in response to 63% of requests. In this population seeking contraception, an estimated 1.2% had a contraindication to progestin-only pills, and an estimated 12.0% of patients who reported their blood pressure had a contraindication to combined hormonal methods. Few requests came from patients younger than 18 (1.2%). In multivariable negative binomial models, urban counties had a larger concentration of requests, whereas counties with higher rates of uninsurance and poverty had lower rates of requests.

CONCLUSIONS

Results suggest that the population seeking contraception from one online prescribing platform has similar levels of contraindications to hormonal contraceptives as found in prior research. Future research should seek to understand why utilization of this online prescribing platform was lower among young people, how to expand outreach to rural populations, and what underlies individuals' decisions about using these services.

Can Translational Social Neuroscience Research Offer Insights to Mitigate Structural Racism in the United States?

Social isolation and conflict due to structural racism may result in human suffering and loneliness across the life span. Given the rising prevalence of these problems in the United States, combined with disruptions experienced during the COVID-19 pandemic, the neurobiology of affiliative behaviors may offer practical solutions to the pressing challenges associated with structural racism. Controlled experiments across species demonstrate that social connections are critical to survival, although strengthening individual resilience is insufficient to address the magnitude and impact of structural racism. In contrast, the multilevel construct of social resilience, defined by the power of groups to cultivate, engage in, and sustain positive relationships that endure and recuperate from social adversities, offers unique insights that may have greater impact, reach, and durability than individual-level interventions. Here, we review putative social resilience-enhancing interventions and, when available, their biological mediators, with the hope to stimulate discovery of novel approaches to mitigate structural racism. We first explore the social neuroscience principles underlying psychotherapy and other psychiatric interventions. Then, we explore translational efforts across species to tailor treatments that increase social resilience, with context and cultural sensitivity in mind. Finally, we conclude with some practical future directions for understudied areas that may be essential for progress in biological psychiatry, including ethical ways to increase representation in research and developing social paradigms that inform dynamics toward or away from socially resilient outcomes.

The Health Plan Environment In California Contributed To Differential Use Of Telehealth During The COVID-19 Pandemic

The COVID-19 pandemic has led to substantial increases in the use of telehealth and virtual care in the US. Differential patient and provider access to technology and resources has raised concerns that existing health disparities may be extenuated by shifts to virtual care. We used data from one of the largest providers of employer-sponsored insurance, the California Public Employees' Retirement System, to examine potential disparities in the use of telehealth. We found that lower-income, non-White, and non-English-speaking people were more likely to use telehealth during the period we studied. These differences were driven by enrollment in a clinically and financially integrated care delivery system, Kaiser Permanente. Kaiser's use of telehealth was higher before and during the pandemic than that of other delivery models. Access to integrated care may be more important to the adoption of health technology than patient-level differences.

Downward National Trends in Mental Health Treatment Offered in Spanish: State Differences by Proportion of Hispanic Residents

OBJECTIVE

This study aimed to determine how the prevalence of mental health treatment facilities that offer services in Spanish has changed over time in the United States.

METHODS

Data from the National Mental Health Services Survey conducted in 2014 (N=13,015 facilities) and 2019 (N=12,345 facilities) were used to measure changes in the proportions of facilities that offered treatment in Spanish overall and by year, state, and proportion of Hispanic residents. Descriptive statistics were used to illustrate state-level changes in services offered in Spanish.

RESULTS

Between 2014 and 2019, the national Hispanic population increased by 4.5%, or 5.2 million people. During the same period, the proportion of facilities that offered treatment in Spanish declined by 17.8%, or a loss of 1,163 Spanish-speaking mental health facilities. Overall, 44 states saw a decline in the availability of services in Spanish, despite growth in Hispanic populations across all states. Among states with the fastest Hispanic population growth, several also experienced the greatest reduction in Spanish-language services.

CONCLUSIONS

The findings indicate that availability of Spanish-language mental health services decreased in most U.S. states during 2014–2019. Promoting mental health service delivery in Spanish is critical for reducing barriers to treatment and ensuring health equity across populations.

Racial and Ethnic Differences in Outcomes of a 12-Week Digital Rehabilitation Program for Musculoskeletal Pain: Prospective Longitudinal Cohort Study

BACKGROUND

Musculoskeletal (MSK) pain disproportionately affects people from different ethnic backgrounds through higher burden and less access to care. Digital care programs (DCPs) can improve access and help reduce inequities. However, the outcomes of such programs based on race and ethnicity have yet to be studied.

OBJECTIVE

We aimed to assess the impact of race and ethnicity on engagement and outcomes in a multimodal DCP for MSK pain.

METHODS

This was an ad hoc analysis of an ongoing decentralized single-arm investigation into engagement and clinical-related outcomes after a multimodal DCP in patients with MSK conditions. Patients were stratified by self-reported racial and ethnic group, and their engagement and outcome changes between baseline and 12 weeks were compared using latent growth curve analysis. Outcomes included program engagement (number of sessions), self-reported pain scores, likelihood of surgery, Generalized Anxiety Disorder 7-item scale, Patient Health Questionnaire 9-item, and Work Productivity and Activity Impairment. A minimum clinically important difference (MCID) of 30% was calculated for pain, and multivariable logistic regression was performed to evaluate race as an independent predictor of meeting the MCID.

RESULTS

A total of 6949 patients completed the program: 65.5% (4554/6949) of them were non-Hispanic White, 10.8% (749/6949) were Black, 9.7% (673/6949) were Asian, 9.2% (636/6949) were Hispanic, and 4.8% (337/6949) were of other racial or ethnic backgrounds. The population studied was diverse and followed the proportions of the US population. All groups reported high engagement and satisfaction, with Hispanic and Black patients ranking first among satisfaction despite lower engagement. Black patients had a higher likelihood to drop out (odds ratio [OR] 1.19, 95% CI 1.01-1.40, P=.04) than non-Hispanic White patients. Hispanic and Black patients reported the highest level of pain, surgical intent, work productivity, and impairment in activities of daily living at baseline. All race groups showed a significant improvement in all outcomes, with Black and Hispanic patients reporting the greatest improvements in clinical outcomes. Hispanic patients also had the highest response rate for pain (75.8%) and a higher OR of meeting the pain MCID (OR 1.74, 95% CI 1.24-2.45, P=.001), when compared with non-Hispanic White patients, independent of age, BMI, sex, therapy type, education level, and employment status. No differences in mental health outcomes were found between race and ethnic groups.

CONCLUSIONS

This study advocates for the utility of a DCP in improving access to MSK care and promoting health equity. Engagement and satisfaction rates were high in all the groups. Black and Hispanic patients had higher MSK burden at baseline and lower engagement but also reported higher improvements, with Hispanic patients presenting a higher likelihood of pain improvement.