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1.
J Telemed Telecare ; : 1357633X241245459, 2024 Apr 22.
Article in English | MEDLINE | ID: mdl-38646804

ABSTRACT

INTRODUCTION: The COVID-19 public health emergency led to an unprecedented rapid increase in telehealth use, but the role of telehealth in reducing disparities in access to care has been questioned. The objective of this study was to conduct a systematic review to summarize the available evidence on how telehealth during the COVID-19 pandemic was associated with telehealth utilization for minority groups and its role in health disparities. METHODS: We conducted a systematic review focused on health equity and access to care by searching for interventional and observational studies using the following four search domains: telehealth, COVID-19, health equity, and access to care. We searched PubMed, Embase, Cochrane CENTRAL, CINAHL, telehealth.hhs.gov, and the Rural Health Research Gateway, and included any study that reported quantitative results with a control group. RESULTS: Our initial search yielded 1970 studies, and we included 48 in our final review. The most common dimensions of health equity studied were race/ethnicity, rurality, insurance status, language, and socioeconomic status, and the telehealth applications studied were diverse. Included studies had a moderate risk of bias. In aggregate, most studies reported increased telehealth use during the pandemic, with the greatest increase in non-minority populations, including White, younger, English-speaking people from urban areas. DISCUSSION: We found that despite rapid adoption and increased telehealth use during the public health emergency, telehealth did not reduce existing disparities in access to care. We recommend that future work measuring the impact of telehealth focus on equity so that features of telehealth innovation can reduce disparities in health outcomes.

2.
Telemed J E Health ; 30(5): 1205-1220, 2024 May.
Article in English | MEDLINE | ID: mdl-38227387

ABSTRACT

Background: As a result of the COVID-19 public health emergency (PHE), telehealth utilization accelerated to facilitate health care management and minimize risk. However, those with mental health conditions and substance use disorders (SUD)-who represent a vulnerable population, and members of underrepresented minorities (e.g., rural, racial/ethnic minorities, the elderly)-may not benefit from telehealth equally. Objective: To evaluate health equality in clinical effectiveness and utilization measures associated with telehealth for clinical management of mental health disorders and SUD to identify emerging patterns for underrepresented groups stratified by race/ethnicity, gender, age, rural status, insurance, sexual minorities, and social vulnerability. Methods: We performed a systematic review in PubMed, Embase, Cochrane Central Register of Controlled Trials, and CINAHL through November 2022. Studies included those with telehealth, COVID-19, health equity, and mental health or SUD treatment/care concepts. Our outcomes included general clinical measures, mental health or SUD clinical measures, and operational measures. Results: Of the 2,740 studies screened, 25 met eligibility criteria. The majority of studies (n = 20) evaluated telehealth for mental health conditions, while the remaining five studies evaluated telehealth for opioid use disorder/dependence. The most common study outcomes were utilization measures (n = 19) or demographic predictors of telehealth utilization (n = 3). Groups that consistently demonstrated less telehealth utilization during the PHE included rural residents, older populations, and Black/African American minorities. Conclusions: We observed evidence of inequities in telehealth utilization among several underrepresented groups. Future efforts should focus on measuring the contribution of utilization disparities on outcomes and strategies to mitigate disparities in implementation.


Subject(s)
COVID-19 , Health Equity , Mental Disorders , Substance-Related Disorders , Telemedicine , Humans , COVID-19/epidemiology , Telemedicine/statistics & numerical data , Substance-Related Disorders/therapy , Substance-Related Disorders/epidemiology , Mental Disorders/therapy , Mental Disorders/epidemiology , SARS-CoV-2 , Pandemics , Mental Health , Healthcare Disparities/statistics & numerical data
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