Evaluation of the United States Preventative Services Task Force Screening Guidelines for Breast Cancer in a Hispanic Underserved Population

Ngo, Vivian; Degan, Mona; Ho, Eugene; Lanum, David; Dong, Fanglong; Neeki, Michael

doi:10.7759/cureus.8030

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…The Centers for Disease Control and Prevention report that Caucasians have the highest incidence of breast cancer in the U.S. A previous study conducted at ARMC suggested that Hispanics had the highest incidence of breast cancer in San Bernardino County, correlating with the racial demographics of the county [21]. There are conflicting viewpoints on the importance of race and ethnicity in breast cancer diagnosis and outcomes.…”

Section: Discussionmentioning

confidence: 99%

Impact of Healthcare Access Disparities on Initial Diagnosis of Breast Cancer in the Emergency Department

Yee¹,

Mazumder²,

Dong³

et al. 2020

Cureus

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Breast cancer continues to be the second leading cause of cancer deaths in women in the United States. This is more noticeable in communities with pronounced healthcare disparities. The aim of this study was to investigate the different demographics that might play a role in the detection of breast cancer in a county hospital emergency department (ED). A retrospective study was conducted of female patients diagnosed with breast cancer over a five-year period (1/1/2015 to 12/31/2018). Patients with breast cancer as the primary or secondary diagnosis were identified. This study shows that 66 (73.3%) women diagnosed in the ED were Hispanic or African American. There was a significant delay (a median of 461 days) in the time between the diagnosis of suspected breast cancer in the ED to their follow-up visit with definitive diagnosis in a primary care clinic. These findings suggest that women with a suspected breast cancer diagnosis who are seen in a safety net hospital and have Medicaid funding may have significant delays before final diagnosis is made. Patient demographics could have an impact on the patients' access to screening and regular healthcare visits, hindering an early breast cancer diagnosis by a primary care provider.

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Section: Discussionmentioning

confidence: 99%

Impact of Healthcare Access Disparities on Initial Diagnosis of Breast Cancer in the Emergency Department

Yee¹,

Mazumder²,

Dong³

et al. 2020

Cureus

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“…The lower observed utilization of mammograms among women with SPD and MPD also warrants further investigation to determine how best to improve mammogram use for these individuals. To address the general problem of underutilization of preventative services [32,33] and the specific issue of breast cancer screening, [7][8][9] policymakers and healthcare providers must pay close attention to women with both MPD and SPD. Due to the simplicity of its administration, practitioners can utilize the Kessler-6 scale as a screener to identify women (MPD and SPD) at risk of not adhering to the USPSTF recommendations.…”

Section: Discussionmentioning

confidence: 99%

“…[7] Moreover, there are reports of disparities in screening rates among the medically underserved population. [8] In particular, disparities in screening related to mental illness remain among the least studied among the disparities. [9] Results from the studies that have examined cancer screening in women with psychological distress have been mixed.…”

Section: Introductionmentioning

confidence: 99%

Moderate psychological distress as a barrier to breast cancer screening among women

Kabir

Askew

Jiang

et al. 2020

JHA

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Objective: To examine the relationship between Breast Cancer Screening (BCS) and Moderate Psychological Distress (MPD). Also, to assess the effect of aggregating women with No Psychological Distress (NPD) and MPD into one group, as done in prior studies when evaluating the relationship between BCS and Psychological Distress (PD).Methods: The study population comprised of 34,565 women aged 50-74 years who participated in the National Health Interview Survey from 2013 to 2017. The Kessler-6 PD index score (0-24) was dichotomized (0-12: NPD; > 13: Severe Psychological Distress SPD) and trichotomized (0-5: NPD; 5-12: MPD; > 13 SPD). Two multivariate logistic regressions were conducted for the dichotomous and trichotomous PD categories. Andersen’s Behavioral Model of Health Services Use guided the choice of covariates. Data analysis was conducted using SAS version 9.4.Results: Our study showed 4.6% had SPD, and 17.9% had MPD. The latter group (MPD) was included in the NPD group in the dichotomous analysis. In the dichotomous analysis, women with SPD (adjusted Odds Ratio (aOR) = 0.71, 95% CI = 0.63, 0.81, p < .00001) were less likely to have received a mammogram than those with NPD. In the trichotomous model, women with SPD (aOR = 0.76, 95% CI = 0.67, 0.87, p = .0001) and MPD (aOR = 0.84, 95% CI = 0.78, 0.91, p <.00001) were both less likely to have had a mammogram than those with NPD.Conclusions: Prior studies that included individuals with MPD among those with NPD overestimated the effect of SPD on mammography and minimized the importance of targeting women with MPD along with those that have SPD to enhance the uptake of mammography.

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Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis

et al. 2021

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Breast cancer is a real public health problem in Morocco. It is the cause of a significant number of deaths caused by late diagnosis. Mammography plays an essential role in the detection of breast cancer and in the early management of its treatment. Despite the existence of screening programs, there are still high rates of false positives and false negatives. Indeed, women were called back for additional diagnoses based on suspicious results that eventually led to cancer. Artificial intelligence (AI) algorithms represent a promising solution to improve the accuracy of digital mammography offering, on the one hand, the possibility of better cancer detection, and, on the other hand, improved efficiency for radiologists for good decision-making. In this work, through a review of the literature on the tools used to evaluate the performance of AI systems dedicated to early detection and diagnosis of breast cancer. We set out to answer the following questions: Is the ethics relating to patient data during the development phase of this software is respected? Do these tools take into consideration the specificities of the field? What about the specification, accuracy and limitations of these applications? At the end, we show through this work recommendations to adapt these evaluation tools of AI applications for breast cancer screening for an optimized and rational consideration of the principle of health vigilance and compliance with the regulatory standards in force governing this field.

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Evaluation of the United States Preventative Services Task Force Screening Guidelines for Breast Cancer in a Hispanic Underserved Population

Cited by 3 publications

References 8 publications

Impact of Healthcare Access Disparities on Initial Diagnosis of Breast Cancer in the Emergency Department

Impact of Healthcare Access Disparities on Initial Diagnosis of Breast Cancer in the Emergency Department

Moderate psychological distress as a barrier to breast cancer screening among women

Vigilance towards the use of artificial intelligence applications for breast cancer screening and early diagnosis

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