The Reach and Health Impacts of the National Breast and Cervical Cancer Early Detection Program

Guy, Gery P.; Tangka, Florence; Hall, Ingrid J.; Miller, Jacqueline W.; Royalty, Janet

doi:10.1007/s10552-015-0561-0

Cited by 7 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ongoing work by CDC to reduce rates of smoking ( 16 ) and obesity ( 17 ) are particularly important because these risk factors contribute to increased risk for heart disease, stroke, chronic lower respiratory disease, and cancer ( 18 , 19 ). In addition, CDC’s efforts to increase access to preventive services, such as cancer screening ( 20 ) and cardiovascular risk reduction ( 21 ), address barriers that persons living in nonmetropolitan areas might face.…”

Section: Discussionmentioning

confidence: 99%

Leading Causes of Death in Nonmetropolitan and Metropolitan Areas— United States, 1999–2014

Moy

García

Bastian

et al. 2017

MMWR Surveill. Summ.

255

179

View full text Add to dashboard Cite

Problem/ConditionHigher rates of death in nonmetropolitan areas (often referred to as rural areas) compared with metropolitan areas have been described but not systematically assessed.Period Covered1999–2014Description of SystemMortality data for U.S. residents from the National Vital Statistics System were used to calculate age-adjusted death rates and potentially excess deaths for nonmetropolitan and metropolitan areas for the five leading causes of death. Age-adjusted death rates included all ages and were adjusted to the 2000 U.S. standard population by the direct method. Potentially excess deaths are defined as deaths among persons aged <80 years that exceed the numbers that would be expected if the death rates of states with the lowest rates (i.e., benchmark states) occurred across all states. (Benchmark states were the three states with the lowest rates for each cause during 2008–2010.) Potentially excess deaths were calculated separately for nonmetropolitan and metropolitan areas. Data are presented for the United States and the 10 U.S. Department of Health and Human Services public health regions.ResultsAcross the United States, nonmetropolitan areas experienced higher age-adjusted death rates than metropolitan areas. The percentages of potentially excess deaths among persons aged <80 years from the five leading causes were higher in nonmetropolitan areas than in metropolitan areas. For example, approximately half of deaths from unintentional injury and chronic lower respiratory disease in nonmetropolitan areas were potentially excess deaths, compared with 39.2% and 30.9%, respectively, in metropolitan areas. Potentially excess deaths also differed among and within public health regions; within regions, nonmetropolitan areas tended to have higher percentages of potentially excess deaths than metropolitan areas.InterpretationCompared with metropolitan areas, nonmetropolitan areas have higher age-adjusted death rates and greater percentages of potentially excess deaths from the five leading causes of death, nationally and across public health regions.Public Health ActionRoutine tracking of potentially excess deaths in nonmetropolitan areas might help public health departments identify emerging health problems, monitor known problems, and focus interventions to reduce preventable deaths in these areas.

show abstract

Section: Discussionmentioning

confidence: 99%

Leading Causes of Death in Nonmetropolitan and Metropolitan Areas— United States, 1999–2014

Moy

García

Bastian

et al. 2017

MMWR Surveill. Summ.

255

179

View full text Add to dashboard Cite

show abstract

“…Further, there are limited numbers of primary care providers and specialists to care for patients spread across vast geographic areas [3]. Many providers have limited financial and staff resources to meet the requirements needed to participate in federal programs like the National Breast and Cervical Cancer Early Detection Program (NBCCEDP), a federalstate partnership to increase access to screening among underinsured and uninsured women [2,4,5]. As a result of these factors, penetration of the NBCCEDP program is low and access is poor in rural areas, particularly in Texas [6].…”

mentioning

confidence: 99%

County-level outcomes of a rural breast cancer screening outreach strategy: a decentralized hub-and-spoke model (BSPAN2)

Lee

Higashi

Inrig

et al. 2016

Behav. Med. Pract. Policy Res.

View full text Add to dashboard Cite

Rural mammography screening remains suboptimal despite reimbursement programs for uninsured women. Networks linking non-clinical community organizations and clinical providers may overcome limited delivery infrastructure in rural areas. Little is known about how networks expand their service area. To evaluate a hub-andspoke model to expand mammography services to 17 rural counties by assessing county-level delivery and local stakeholder conduct of outreach activities. We conducted a mixed-method evaluation using EMR data, systematic site visits (73 interviews, 51 organizations), 92 patient surveys, and 30 patient interviews. A two-sample t test compared the weighted monthly average of women served between hub-and spoke-led counties; nonparametric trend test evaluated time trend over the study period; Pearson chi-square compared sociodemographic data between hub-and spoke-led counties. From 2013 to 2014, the program screened 4603 underinsured women. Counties where local Bspoke^organizations led outreach activities achieved comparable screening rates to hub-led counties (9.2 and 8.7, respectively, p = 0.984) and did not vary over time (p = 0.866). Qualitative analyses revealed influence of program champions, participant language preference, and stakeholders' concerns about uncompensated care. A program that leverages local organizations' ability to identify and reach rural underserved populations is a feasible approach for expanding preventive services delivery. KeywordsRural, Breast cancer, Healthdisparities, Health services delivery, Mixed methods, Program implementation BACKGROUND Despite the Affordable Care Act's emphasis on preventive services, many rural communities face significant challenges in linking women to the full continuum of breast cancer screening services (e.g., screening and diagnostic mammography, breast biopsy, and referral to cancer treatment) [1]. Rural populations, when adjusted for age, are more likely than their urban counterparts to lack health insurance [2], such that women are significantly less likely to meet

show abstract

“…1 In rural settings, more people are uninsured, have high unemployment rates, and have low levels of education. 3 Furthermore, they have difficulty in reaching out to healthcare facilities to obtain routine care and screening. 4 Therefore, many patients present when symptomatic or are lost for follow-up after an abnormal mammogram screening.…”

Section: Introductionmentioning

confidence: 99%

Impact of Access to Breast Care For West Texas Program on Early Detection and Regional Breast Cancer Mortality

2023

View full text Add to dashboard Cite

Introduction This study aimed to assess whether the Access to Breast Care for West Texas (ABC4WT) program impacted regional breast cancer detection and mortality in the Texas Council of Governments (COG)1 region. Methods Interrupted time series analyses were utilized to evaluate the impact of the intervention. Spearman’s rank correlation and cross-orrelation analyses were performed to assess the relationship between the total number of screenings and (i) the total number of breast cancer detected and (ii) the proportion of early-stage cancer detected and the (pre-whitened) residuals. A three-way interaction model compared pre-and post-intervention mortality in COG 1 with the COG 9 region (control). Results Increased screening rate was associated with increased breast and early-stage cancer incidences ( P = .001 and P = .002, respectively). There were significant positive cross-correlations between the total number of screenings and the total number of breast cancer detected (r = .996) and the proportion of early-stage cancer detected (r = .709) without a lag even after pre-whitening. Univariate analysis showed that regional mortality decreased with time ( P < .001) and after intervention ( P = .001). Multivariate analysis did not show any significant difference in time ( P = .594), intervention ( P = .453), and time and intervention interaction ( P = .273). The three-way interaction model showed no difference in the baseline mortality and pre-intervention trend difference in COG 1 and COG 9 regions. However, there was a significant pre-post intervention trend difference in mortality COG 1 compared to the COG 9 region ( P = .041). Conclusion Implementing the ABC4WT program was associated with the early detection of breast cancer and reducing regional mortality in the COG 1 region.

show abstract

The Reach and Health Impacts of the National Breast and Cervical Cancer Early Detection Program

Cited by 7 publications

References 19 publications

Leading Causes of Death in Nonmetropolitan and Metropolitan Areas— United States, 1999–2014

Leading Causes of Death in Nonmetropolitan and Metropolitan Areas— United States, 1999–2014

County-level outcomes of a rural breast cancer screening outreach strategy: a decentralized hub-and-spoke model (BSPAN2)

Impact of Access to Breast Care For West Texas Program on Early Detection and Regional Breast Cancer Mortality

Contact Info

Product

Resources

About