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2.
J Plast Reconstr Aesthet Surg ; 75(2): 893-939, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1739575
3.
Journal of Breast Imaging ; 3(6):712-720, 2021.
Article in English | CINAHL | ID: covidwho-1541550

ABSTRACT

Since the 1980s, the mortality rate from breast cancer in the United States has dropped almost 40%. The quality of life and survival gains from early detection and improved treatment have not been shared equally by all ethnic groups, however. Many factors, including social determinants of health, unequal access to screening and oncologic care, and differences in incidence, tumor biology, and risk factors, have contributed to these unequal breast cancer outcomes. As breast radiologists approach their own patients, they must be aware that minority women are disproportionately affected by breast cancer at earlier ages and that non-Hispanic Black and Hispanic women are impacted by greater severity of disease than non-Hispanic White women. Guidelines that do not include women younger than 50 and/or have longer intervals between examinations could have a disproportionately negative impact on minority women. In addition, the COVID-19 pandemic could worsen existing disparities in breast cancer mortality. Increased awareness and targeted efforts to identify and mitigate all of the underlying causes of breast cancer disparities will be necessary to realize the maximum benefit of screening, diagnosis, and treatment and to optimize quality of life and mortality gains for all women. Breast radiologists, as leaders in breast cancer care, have the opportunity to address and reduce some of these disparities for their patients and communities.

4.
J Med Internet Res ; 23(6): e24947, 2021 06 09.
Article in English | MEDLINE | ID: covidwho-1262582

ABSTRACT

BACKGROUND: Telehealth is an increasingly important component of health care delivery in response to the COVID-19 pandemic. However, well-documented disparities persist in the use of digital technologies. OBJECTIVE: This study aims to describe smartphone and internet use within a diverse sample, to assess the association of smartphone and internet use with markers of health literacy and health access, and to identify the mediating factors in these relationships. METHODS: Surveys were distributed to a targeted sample designed to oversample historically underserved communities from April 2017 to December 2017. Multivariate logistic regression was used to estimate the association of internet and smartphone use with outcomes describing health care access and markers of health literacy for the total cohort and after stratifying by personal history of cancer. Health care access was captured using multiple variables, including the ability to obtain medical care when needed. Markers of health literacy included self-reported confidence in obtaining health information. RESULTS: Of the 2149 participants, 1319 (61.38%) were women, 655 (30.48%) were non-Hispanic White, and 666 (30.99%) were non-Hispanic Black. The median age was 51 years (IQR 38-65). Most respondents reported using the internet (1921/2149, 89.39%) and owning a smartphone (1800/2149, 83.76%). Compared with the respondents with smartphone or internet access, those without smartphone or internet access were more likely to report that a doctor was their most recent source of health information (344/1800, 19.11% vs 116/349, 33.2% for smartphone and 380/1921, 19.78% vs 80/228, 35.1% for internet, respectively; both P<.001). Internet use was associated with having looked for information on health topics from any source (odds ratio [OR] 3.81, 95% CI 2.53-5.75) and confidence in obtaining health information when needed (OR 1.83, 95% CI 1.00-3.34) compared with noninternet users. Smartphone owners had lower odds of being unable to obtain needed medical care (OR 0.62, 95% CI 0.40-0.95) than nonsmartphone owners. Among participants with a prior history of cancer, smartphone ownership was significantly associated with higher odds of confidence in ability to obtain needed health information (OR 5.63, 95% CI 1.05-30.23) and lower odds of inability to obtain needed medical care (OR 0.17, 95% CI 0.06-0.47), although these associations were not significant among participants without a prior history of cancer. CONCLUSIONS: We describe widespread use of digital technologies in a community-based cohort, although disparities persist. In this cohort, smartphone ownership was significantly associated with ability to obtain needed medical care, suggesting that the use of smartphone technology may play a role in increasing health care access. Similarly, major illnesses such as cancer have the potential to amplify health engagement. Finally, special emphasis must be placed on reaching patient populations with limited digital access, so these patients are not further disadvantaged in the new age of telehealth.


Subject(s)
Health Literacy/statistics & numerical data , Health Services Accessibility , Internet Use/statistics & numerical data , Neoplasms/prevention & control , Ownership , Smartphone/statistics & numerical data , Surveys and Questionnaires , Telemedicine/statistics & numerical data , Adult , Aged , Cohort Studies , Cross-Sectional Studies , Female , Humans , Internet , Male , Middle Aged , Self Report , Smartphone/supply & distribution , Vulnerable Populations
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