Adherence to screening mammography among American Indian women of the Northern Plains

Developing Culturally Tailored Mobile Web App Education to Promote Breast Cancer Screening: Knowledge, Barriers, and Needs Among American Indian Women

American Indian (AI) women face disproportionate rates of breast cancer mortality and cancer disparities. This study conducted qualitative research to assess perspectives of AI women towards breast cancer screening, knowledge, barriers, and needs about mobile web app-based education to promote breast cancer screening. This study, in collaboration with the Yankton Sioux Tribe (YST), followed a community-based participatory research approach and conducted two focus groups with a total of 22 YST women aged 40-70 years living on reservation in rural South Dakota. Each group consisted of 11 local professionals working in healthcare and social services and community members. A grounded theory was used for the qualitative analysis. A large portion of participants reported having prior knowledge about breast cancer and screening methods, yet lacked awareness of the detailed procedure and recommended guidelines. Competing priorities and cost of mammograms were noted as major barriers to screening. Participants wanted to learn-in a convenient and easy-to-understand manner-more about breast cancer and prevention from a credible source. Both groups were favorable toward novel educational tools, such as the mobile web app education, and cited potential health benefits, particularly for women aged 40s to 60s. Our findings highlighted the importance of creating effective, culturally tailored educational interventions built into programs specific to AIs to increase understanding about breast cancer screening and promote screening behaviors among AI women. Particular attention to how AIs' culture, beliefs, and barriers are implicated in screening behaviors could help with developing culturally tailored health education tools for this population.

Mobile Mammography Services and Underserved Women

Breast cancer, the second most common cause of cancer in women, affects people across different ages, ethnicities, and incomes. However, while all women have some risk of breast cancer, studies have found that some populations are more vulnerable to poor breast cancer outcomes. Specifically, women with lower socioeconomic status and of Black and Hispanic ethnicity have been found to have more advanced stages of cancer upon diagnosis. These findings correlate with studies that have found decreased use of screening mammography services in these underserved populations. To alleviate these healthcare disparities, mobile mammography units are well positioned to provide convenient screening services to enable earlier detection of breast cancer. Mobile mammography services have been operating since the 1970s, and, in the current pandemic, they may be extremely helpful. The COVID-19 pandemic has significantly disrupted necessary screening services, and reinstatement and implementation of accessible mobile screenings may help to alleviate the impact of missed screenings. This review discusses the history and benefits of mobile mammography, especially for underserved women.

Adherence to Screening Among American Indian Women Accessing a Mobile Mammography Unit

RATIONALE AND OBJECTIVES

Although screening mammography is essential to reducing breast cancer morbidity and mortality, barriers exist especially among underrepresented minority groups. There are few studies of mammogram screening among American Indian women, many of whom reside in rural areas where screening access is challenging. A mobile mammography unit served 24 Indian Health Service clinics during 2013-17. Screening mammography adherence was evaluated.

MATERIALS AND METHODS

Among mobile unit women, 'adherence to screening' was determined by the date of the most recent prior mammogram. Those having a prior mammogram 9-27 months ago were classified as 'adherent to screening'. Comparison screening data were obtained from the American College of Radiology National Mammography Database, consisting of screening cases occurring in year 2015. Additionally, among mobile unit women 'continued adherence to screening' was determined, defined as at least one repeat screening at the mobile unit within the subsequent 9-27 months after a screening there.

RESULTS

Among 1,615 mobile unit women, 624 (38.6%) were adherent to screening. Among 2,509,826 National Mammography Database women, 1,481,021 (59.0%) were adherent to screening. (p<0.0001) The prevalence of a >27-month interval between mammograms was 3.13 (95% CI 2.91-3.36) times greater among mobile unit women than National Mammography Database women. 'Continued adherence to screening' of mobile unit women was 428/1194 (35.9%).

CONCLUSION

Adherence to screening and continued adherence to screening were low among mobile unit women and time interval between screenings was longer than National Mammography Database women. Factors to improve screening adherence among these underserved women should be determined.

Quantification of Potential Inequities in Breast Cancer Incidence in New Mexico Through Bayesian Disease Mapping

INTRODUCTION

The incidence of breast cancer among non-Hispanic American Indian and Alaska Native (AI/AN) women varies across the United States. We applied county-level Bayesian disease mapping to quantify potential inequities in 10-year breast cancer incidence in New Mexico to better inform health equity initiatives among its non-Hispanic at-risk AI/AN population.

METHODS

We used data from the Surveillance, Epidemiology, and End Results (SEER) program from 2005 through 2014 to identify new cases of breast cancer in New Mexico's 33 counties. To account for spatial variation, a county-level Area Deprivation Index, and the small area estimation problem inherent in these data, we borrowed strength globally and locally by applying Bayesian disease mapping to the counts of age-adjusted county-level breast cancer incidence. We quantified the disparity effect, as measured by the age-adjusted rate ratio, comparing the incidence of breast cancer between at-risk non-Hispanic AI/AN and non-Hispanic White women and assessed whether the ratio differed among counties.

RESULTS

Accounting for over-dispersion and spatial correlation among the 33 counties and a county-level Area Deprivation Index, the posterior mean of the overall age-adjusted rate ratio was 0.384 (95% credible interval, 0.253--0.546). The age-adjusted rate of breast cancer in non-Hispanic AI/AN women was 0.38 times the corresponding age-adjusted rate for non-Hispanic White women; however, a significant reduction in breast cancer incidence was observed in 16 of the 33 counties.

CONCLUSION

The application of Bayesian disease mapping to these data provided substantial evidence of an overall disparity in breast cancer incidence between at-risk non-Hispanic AI/AN and non-Hispanic White women in New Mexico, which was more marked than previously reported and limited to certain counties. Targeted statewide and county-level health-equity initiatives may lead to a reduction in these disparities.

Mobile primary health care clinics for Indigenous populations in Australia, Canada, New Zealand and the United States: a systematic scoping review

BACKGROUND

Mobile clinics have been used to deliver primary health care to populations that otherwise experience difficulty in accessing services. Indigenous populations in Australia, Canada, New Zealand, and the United States experience greater health inequities than non-Indigenous populations. There is increasing support for Indigenous-governed and culturally accessible primary health care services which meet the needs of Indigenous populations. There is some support for primary health care mobile clinics implemented specifically for Indigenous populations to improve health service accessibility. The purpose of this review is to scope the literature for evidence of mobile primary health care clinics implemented specifically for Indigenous populations in Australia, Canada, New Zealand, and the United States.

METHODS

This review was undertaken using the Joanna Brigg Institute (JBI) scoping review methodology. Review objectives, inclusion criteria and methods were specified in advance and documented in a published protocol. The search included five academic databases and an extensive search of the grey literature.

RESULTS

The search resulted in 1350 unique citations, with 91 of these citations retrieved from the grey literature and targeted organisational websites. Title, abstract and full-text screening was conducted independently by two reviewers, with 123 citations undergoing full text review. Of these, 39 citations discussing 25 mobile clinics, met the inclusion criteria. An additional 14 citations were snowballed from a review of the reference lists of included citations. Of these 25 mobile clinics, the majority were implemented in Australia (n = 14), followed by United States (n = 6) and Canada (n = 5). No primary health mobile clinics specifically for Indigenous people in New Zealand were retrieved. There was a pattern of declining locations serviced by mobile clinics with an increasing population. Furthermore, only 13 mobile clinics had some form of evaluation.

CONCLUSIONS

This review identifies geographical gaps in the implementation of primary health care mobile clinics for Indigenous populations in Australia, Canada, New Zealand, and the United States. There is a paucity of evaluations supporting the use of mobile clinics for Indigenous populations and a need for organisations implementing mobile clinics specifically for Indigenous populations to share their experiences. Engaging with the perspectives of Indigenous people accessing mobile clinic services is imperative to future evaluations.

REGISTRATION

The protocol for this review has been peer-reviewed and published in JBI Evidence Synthesis (doi: 10.11124/JBISRIR-D-19-00057).

Mobile Mammography Participation Among Medically Underserved Women: A Systematic Review

Introduction

Although breast cancer deaths have declined, the mortality rate among women from medically underserved communities is disproportionally high. Screening mammography is the most effective tool for detecting breast cancer in its early stages, yet many women from medically underserved communities do not have adequate access to screening mammograms. Mobile mammography may be able to bridge this gap by providing screening mammograms at no cost or low cost and delivering services to women in their own neighborhoods, thus eliminating cost and transportation barriers. The objective of this systematic review was to describe the scope and impact of mobile mammography programs in promoting mammographic screening participation among medically underserved women.

Methods

We searched electronic databases for English-language articles published in the United States from January 2010 through March 2018 by using the terms “mobile health unit,” “mammogram,” “mammography,” and “breast cancer screening.” Of the 93 articles initially identified, we screened 55; 16 were eligible to be assessed and 10 qualified for full text review and data extraction. Each study was coded for study purpose, research design, data collection, population targeted, location, sample size, outcomes, predictors, analytical methods, and findings.

Results

Of the 10 studies that qualified for review, 4 compared mobile mammography users with users of fixed units, and the other 6 characterized mobile mammography users only. All the mobile mammography units included reached underserved women. Most of the women screened in mobile units were African American or Latina, low income, and/or uninsured. Mobile mammography users reported low adherence to 1-year (12%–34%) and 2-year (40%–48%) screening guidelines. Some difficulties faced by mobile clinics were patient retention, patient follow-up of abnormal or inconclusive findings, and women inaccurately perceiving their breast cancer risk.

Conclusion

Mobile mammography clinics may be effective at reaching medically underserved women. Adding patient navigation to mobile mammography programs may promote attendance at mobile sites and increase follow-up adherence. Efforts to promote mammographic screening should target women from racial/ethnic minority groups, women from low-income households, and uninsured women. Future research is needed to understand how to best improve visits to mobile mammography clinics.

Breast cancer literacy and health beliefs related to breast cancer screening among American Indian women

The purpose of this article is to examine the health beliefs and literacy about breast cancer and their relationship with breast cancer screening among American Indian (AI) women. Using the Health Belief Model (HBM) and hierarchical logistic regression with data from a sample of 286 AI female adults residing in the Northern Plains, we found that greater awareness of breast cancer screening was linked to breast cancer screening practices. However, perceived barriers, one of the HBM constructs, prevented such screening practices. This study suggested that culturally relevant HBM factors should be targeted when developing culturally sensitive breast cancer prevention efforts.

Availability of prior mammograms affects incomplete report rates in mobile screening mammography

PURPOSE

Mobile mammography can improve access to screening mammography in rural areas and underserved populations. We evaluated the frequency of incomplete reports in mobile mammography screening and the relationships between prior mammograms and recall rates.

METHODS

The frequency of incomplete mammogram reports, the subgroups of those needing prior comparison mammograms, recalls for additional imaging, and availability of prior mammograms of a mobile screening mammography unit were compared with fixed site mammography from January 1, 2007 through December 31, 2009. All mobile unit mammograms were full field digital mammography (FFDM). Differences between rates of recall, incomplete reports, and availability of prior mammograms were calculated using the Chi-Square statistic.

RESULTS

Of 2640 mobile mammography cases, 21.9% (578) reports were incomplete, versus 15.2% (7653) (p ≤ 0.001) of 50325 fixed site reports. Of incomplete cases, recall for additional imaging occurred among 8.3% (218) of mobile mammography reports versus 11.3% (5708) (p ≤ 0.001) of fixed site reports. Prior mammograms were needed among 13.6% (360) of mobile mammography versus 3.9% (1945) (p ≤ 0.001) of fixed site reports. Mobile mammography recall rate varied with availability of prior mammograms: 16.0% (54) when no prior mammograms, 7.6% (127) when prior mammograms were elsewhere but unavailable and 5.9% (37) when prior FFDM were immediately available (p ≤ 0.001).

CONCLUSIONS

Incomplete reports were more frequent in mobile mammography than the fixed site. The availability of prior comparison mammograms at time of interpretation decreased the rate of incomplete mammogram reports. Recall rates were higher without prior comparison mammograms and lowest when comparison FFDM mammograms were available.

Effectiveness of a Mobile Mammography Program

OBJECTIVE

Mobile mammography units have increasingly been used to address patient health care disparities; however, there are limited data comparing mobile units to stationary sites. This study aims to evaluate the characteristics of women who underwent mammography screening in a mobile unit versus those who underwent mammography screening at a cancer center.

MATERIALS AND METHODS

In this retrospective study, we analyzed all screening mammography examinations performed in a mobile unit in 2014 (n = 1433 examinations). For comparison, we randomized and reviewed an equivalent number of screening mammography examinations performed at our cancer center in 2014 (n = 1434 examinations). BI-RADS assessment, adherence to follow-up, biopsies performed, cancer detection rate, and sociodemographic variables were recorded. An independent-samples t test was conducted to identify potential differences in age between cancer center patients and mobile unit patients. Chi-square analyses were used to test for associations between location and factors such as health insurance, race, marital status, geographic area, adherence to screening guidelines, recall rate, adherence to follow-up, and cancer detection rates.

RESULTS

Patients visiting our cancer center (mean = 57.74 years; SD = 10.55) were significantly older than those visiting the mobile unit (mean = 52.58 years; SD = 8.19; p < 0.001). There was a significant association between location and health insurance status (χ² = 610.92; p < 0.001) with more uninsured patients undergoing screening in the mobile van (cancer center = 3.70%, mobile unit = 38.73%). There was a significant association between screening location and patient race (χ² = 118.75, p < 0.001), with more white patients being screened at the cancer center (cancer center = 47.28%, mobile unit = 33.30%), more black patients being screened in the mobile van (cancer center = 49.30%, mobile unit = 54.15%), and more Hispanic patients being screened in the mobile van (cancer center = 1.05%, mobile unit = 6.77%). There was a significant association between location and patient marital status (χ² = 135.61, p < 0.001), with more married patients screened at the cancer center (cancer center = 49.16%, mobile unit = 38.31%), more single patients screened in the mobile van (cancer center = 25.17%, mobile unit = 34.47%), and more widowed patients being screened at the cancer center (cancer center = 8.09%, mobile unit = 4.47%). There was a significant association between location and geographic area (χ² = 33.33, p < 0.001), with both locations reaching more urban than rural patients (cancer center = 79.99%, mobile unit = 70.62%). There was a significant association between location and adherence to screening guidelines (χ² = 179.60, p < 0.001), with patients screened at the cancer center being more compliant (cancer center = 56.90%, mobile unit = 34.47%). Finally, there was a significant association between location and recall rate (χ² = 4.06, p < 0.001). The cancer center had a lower recall rate (13.32%) than the mobile van (15.98%). Of those patients with BI-RADS 0, there was a significant association between location and adherence to follow-up (χ² = 22.75, p < 0.001) with patients using the mobile unit less likely to return for additional imaging (cancer center = 2.65%, mobile unit = 17.03%).

CONCLUSION

Significant differences were found among patients visiting the cancer center versus the mobile mammography van. The cancer center's population is older and more adherent to guidelines, whereas the mobile mammography population exhibited greater racial and marital diversity, higher recall rate, and lack of adherence to follow-up recommendations. By identifying these characteristics, we can develop programs and materials that meet these populations' needs and behaviors, ultimately increasing mammography screening and follow-up rates among underserved populations.