US urban–rural disparities in breast cancer-screening practices at the national, regional, and state level, 2012–2016

Tran, Lam; Tran, Phoebe

doi:10.1007/s10552-019-01217-8

Cited by 24 publications

(15 citation statements)

References 36 publications

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“…Despite a fairly large sample size, few statistically significant differences were observed between rural and urban participants overall. In prior studies that report differences, such as that by Tran & Tran who found an Average Adjusted Prediction (AAP) of 93.5% versus 94.6% in rural versus urban sectors, respectively, a sample size that was 500-fold that of our study (i.e., 482,360) was required [27]. Data on rural-urban status in other areas of cancer screening are largely absent from the literature, thus making our data related to colorectal screening one of the first reports.…”

Section: Discussionmentioning

confidence: 95%

Differences Related to Cancer Screening by Minority and Rural/Urban Status in the Deep South: Population-based Survey Results

Daniel¹,

Aly²,

Bae³

et al. 2021

J. Cancer

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Objective: Cancer mortality in the U.S. Deep South exceeds national levels. A cross-sectional survey was undertaken across Alabama to discern cancer beliefs and screening practices, and compare data from racial/ethnic minority versus majority and rural versus urban respondents. Methods: Using population-based methods, we approached 5,633 Alabamians (ages 50-80) to complete a 58-item survey (administered in-person, via telephone, or the web). Descriptive statistics were used to summarize findings; two-tailed, chi-square and t-tests (α<0.05) were used to compare minority-majority and rural-urban subgroups. Results: The response rate was 15.2%; respondents identified as minority (n=356) or majority (n=486), and rural (n=671) or urban (n=183). Mean (SD) age was 63.7 (10.2) and >90% indicated stable housing, and healthcare coverage and access. Rural and minority versus urban and majority respondents were significantly more likely to have lower education, employment, and income, respectively. Most respondents equated cancer as a “death sentence” and were unable to identify the age at which cancer screening should begin. Few rural-urban subgroup differences were noted, though significant differences were observed between minority versus majority subgroups for mammography (36.7% versus 49.6%, p<.001) and colorectal cancer screening (34.5% vs. 47.9%, p <0.001). Furthermore, while minorities were significantly more likely to report ever having a colonoscopy (82.1% versus 76.1%, p =0.041) and to have received fecal occult blood testing within the past year (17.2% versus 12.2%, p =0.046), routine adherence to screening was <20% across all subgroups. Discussion: Cancer early detection education is needed across Alabama to improve cancer screening, and particularly needed among racial/ethnic minorities to raise cancer awareness.

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Section: Discussionmentioning

confidence: 95%

Differences Related to Cancer Screening by Minority and Rural/Urban Status in the Deep South: Population-based Survey Results

Daniel¹,

Aly²,

Bae³

et al. 2021

J. Cancer

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“…( White et al, 2017 ) Specifically, research has shown that mammography screening adherence is likely to be lower among women who are not of the White race, as well as among those who are uninsured, low income or have limited education, and among women who were born outside of the United States, particularly those who have lived in the U.S. for fewer than ten years. ( American Cancer Society, 2021 , White et al, 2017 ) In addition, rurality has been shown to have an impact on breast cancer screening rates ( Henley et al, 2020 , Tran and Tran, 2019 ). In particular, one recent study found that rurality had a small, but statistically significant negative effect on a woman’s self-reported response to “ever having a mammogram” and “having a recent mammogram” ( Tran and Tran, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

“…( American Cancer Society, 2021 , White et al, 2017 ) In addition, rurality has been shown to have an impact on breast cancer screening rates ( Henley et al, 2020 , Tran and Tran, 2019 ). In particular, one recent study found that rurality had a small, but statistically significant negative effect on a woman’s self-reported response to “ever having a mammogram” and “having a recent mammogram” ( Tran and Tran, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

The association between rurality, sociodemographic characteristics, and mammogram screening outcomes among a sample of low-income uninsured women

Kassabian

Olowolaju

Akinlotan³

et al. 2021

Preventive Medicine Reports

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Highlights Rurality has been shown to negatively impact breast cancer screening rates. We observed mammography outcomes within a sample of low-income uninsured women. We found that outcomes were independent of sociodemographic factors, like rurality. More research should explore whether this relationship is mediated by other factors.

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“…We observed that institutions in rural districts were more likely to fulfil the target number of breast and cervical cancer screenings than those in urban districts, where US studies report that breast and cervical cancer screening rates in urban districts are higher than in rural districts [35,36]. The main explanation for this is that in the US the main breast cancer screening tool is mammography, where in the China screening consists mainly out of CBE.…”

Section: Discussionmentioning

confidence: 72%

Determinants of Population-Based Cancer Screening Performance at Primary Healthcare Institutions in China

Zheng

Zhang

Greuter

et al. 2021

IJERPH

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Background: For a decade, most population-based cancer screenings in China are performed by primary healthcare institutions. To assess the determinants of performance of primary healthcare institutions in population-based breast, cervical, and colorectal cancer screening in China. Methods: A total of 262 primary healthcare institutions in Tianjin participated in a survey on cancer screening. The survey consisted of questions on screening tests, the number of staff members and training, the introduction of the screening programs to residents, the invitation of residents, and the number of performed screenings per year. Logistic regression models were used to analyze the determinants of performance of an institution to fulfil the target number of screenings. Results: In 58% and 61% of the institutions between three and nine staff members were dedicated to breast and cervical cancer screening, respectively, whereas in 71% of the institutions ≥10 staff members were dedicated to colorectal cancer screening. On average 60% of institutions fulfilled the target number of breast and cervical cancer screenings, whereas 93% fulfilled the target number for colorectal cancer screening. The determinants of performance were rural districts for breast (OR = 5.16 (95%CI: 2.51–10.63)) and cervical (OR = 4.17 (95%CI: 2.14–8.11)) cancer screenings, and ≥3 staff members dedicated to cervical cancer screening (OR = 2.34 (95%CI: 1.09–5.01)). Conclusion: Primary healthcare institutions in China perform better in colorectal than in breast and cervical cancer screening, and institutions in rural districts perform better than institutions in urban districts. Increasing the number of staff members on breast and cervical cancer screening could improve the performance of population-based cancer screening.

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US urban–rural disparities in breast cancer-screening practices at the national, regional, and state level, 2012–2016

Cited by 24 publications

References 36 publications

Differences Related to Cancer Screening by Minority and Rural/Urban Status in the Deep South: Population-based Survey Results

Differences Related to Cancer Screening by Minority and Rural/Urban Status in the Deep South: Population-based Survey Results

The association between rurality, sociodemographic characteristics, and mammogram screening outcomes among a sample of low-income uninsured women

Determinants of Population-Based Cancer Screening Performance at Primary Healthcare Institutions in China

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