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1.
Artigo em Inglês | MEDLINE | ID: mdl-38801414

RESUMO

Background Despite consistent improvements in cancer prevention and care, rural and urban disparities in cancer incidence persist in the United States. Our objective was to further examine rural-urban differences in cancer incidence and trends. Methods We used the North American Association of Central Cancer Registries (NAACCR) dataset to investigate rural-urban differences in 5-year age-adjusted cancer incidence (2015-2019) and trends (2000-2019), also examining differences by region, sex, race/ethnicity, and tumor site. Age-adjusted rates were calculated using SEER*Stat 8.4.1, and trend analysis was done using Joinpoint, reporting annual percent changes (APCs). Results We observed higher all cancer combined 5-year incidence rates in rural areas (457.6 per 100,000) compared to urban a (447.9), with the largest rural-urban difference in the South (464.4 vs 449.3). Rural populations also exhibited higher rates of tobacco-associated, HPV-associated, and colorectal cancer, including early-onset. Tobacco-associated cancer incidence trends widened between rural and urban from 2000-2019, with significant, but varying, decreases in urban areas throughout the study period, while significant rural decreases only occurred between 2016 and 2019 (APC=-0.96). HPV-associated cancer rates increased in both populations until recently with urban rates plateauing while rural rates continued to rise (e.g., APC =1.56, 2002-2019). Conclusions Rural populations had higher overall cancer incidence rates and higher rates of cancers with preventive opportunities compared to urban. Improvements in these rates were typically slower in rural populations. Impact Our findings underscore the complex nature of rural-urban disparities, emphasizing the need for targeted interventions and policies to reduce disparities and achieve equitable health outcomes.

2.
Telemed J E Health ; 30(5): 1205-1220, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38227387

RESUMO

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.


Assuntos
COVID-19 , Equidade em Saúde , Transtornos Mentais , Transtornos Relacionados ao Uso de Substâncias , Telemedicina , Humanos , COVID-19/epidemiologia , Telemedicina/estatística & dados numéricos , Transtornos Relacionados ao Uso de Substâncias/terapia , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Transtornos Mentais/terapia , Transtornos Mentais/epidemiologia , SARS-CoV-2 , Pandemias , Saúde Mental , Disparidades em Assistência à Saúde/estatística & dados numéricos
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