A Novel Approach for Conducting a Catchment Area Analysis of Breast Cancer by Age and Stage for a Community Cancer Center.

BACKGROUND: The U.S. Preventive Services Task Force recently issued an updated draft recommendation statement to initiate breast cancer screening at age 40, reflecting well-documented disparities in breast cancer-related mortality that disproportionately impact younger Black women. This study applied a novel approach to identify hotspots of breast cancer diagnosed before age 50 and/or at an advanced stage to improve breast cancer detection within these communities. METHODS: Cancer registry data for 3,497 women with invasive breast cancer diagnosed or treated between 2012 and 2020 at the Helen F. Graham Cancer Center and Research Institute (HFGCCRI) and who resided in the HFGCCRI catchment area, defined as New Castle County, Delaware, were geocoded and analyzed with spatial intensity. Standardized incidence ratios stratified by age and race were calculated for each hotspot. RESULTS: Four hotspots were identified, two for breast cancer diagnosed before age 50, one for advanced breast cancer, and one for advanced breast cancer diagnosed before age 50. Younger Black women were overrepresented in these hotspots relative to the full-catchment area. CONCLUSIONS: The novel use of spatial methods to analyze a community cancer center catchment area identified geographic areas with higher rates of breast cancer with poor prognostic factors and evidence that these areas made an outsized contribution to racial disparities in breast cancer. IMPACT: Identifying and prioritizing hotspot breast cancer communities for community outreach and engagement activities designed to improve breast cancer detection have the potential to reduce the overall burden of breast cancer and narrow racial disparities in breast cancer.

Predictors of improved clinician screening, assessment, and treatment for tobacco use for clients in community mental healthcare following training.

Introduction: People with mental illness (MI) are more likely to smoke cigarettes and less likely to receive treatment for tobacco use than the general population. Understanding factors associated with improved staff treatment of tobacco use in community mental health settings has received limited study. Methods: We used data from a completed cluster-randomized clinical trial that tested two interventions designed to increase treatment for tobacco use in mental health clinics. Among 222 clinic staff, we examined demographic and employment characteristics, changes in perceived skills, knowledge, and beliefs using the S-KAP (i.e., perceptions of staff responsibility to treat tobacco use; client quit motivation; client outcomes; and barriers) as predictors of change in clinician reported delivery of tobacco use treatment following training. Results: Clinician reported treatment of client tobacco use significantly increased from baseline to week 52 across both study arms (p<0.001). This increase in reported treatment for tobacco use was associated with increases from baseline to week 52 in clinician reported skills to treat tobacco use, perceptions of responsibility to treat client tobacco use, and perceptions about client motivation to quit smoking (p's<0.05). Conclusions: Training clinicians in community mental healthcare to address client tobacco use may improve outcomes by helping them to develop the needed skills, convincing them that treating tobacco use is part of their role as clinicians, and by helping clinicians to recognize that clients are motivated to quit smoking. These may be targets to improve how clinicians in community health settings address client tobacco use.

A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening.

BACKGROUND: Despite a 40% reduction in breast cancer mortality over the last 30 years, not all groups have benefited equally from these gains. A consistent link between later stage of diagnosis and disparities in breast cancer mortality has been observed by race, socioeconomic status, and rurality. Therefore, ensuring equitable geographic access to screening mammography represents an important priority for reducing breast cancer disparities. Access to breast cancer screening was evaluated in Delaware, a state that experiences an elevated burden from breast cancer but is otherwise representative of the US in terms of race and urban-rural characteristics. We first conducted a catchment analysis of mammography facilities. Finding evidence of disparities by race and rurality, we next conducted a location-allocation analysis to identify candidate locations for the establishment of new mammography facilities to optimize equitable access. METHODS: A catchment analysis using the ArcGIS Pro Service Area analytic tool characterized the geographic distribution of mammography sites and Breast Imaging Centers of Excellence (BICOEs). Poisson regression analyses identified census tract-level correlates of access. Next, the ArcGIS Pro Location-Allocation analytic tool identified candidate locations for the placement of additional mammography sites in Delaware according to several sets of breast cancer screening guidelines. RESULTS: The catchment analysis showed that for each standard deviation increase in the number of Black women in a census tract, there were 68% (95% CI 38-85%) fewer mammography units and 89% (95% CI 60-98%) fewer BICOEs. The more rural counties in the state accounted for 41% of the population but only 22% of the BICOEs. The results of the location-allocation analysis depended on which set of screening guidelines were adopted, which included increasing mammography sites in communities with a greater proportion of younger Black women and in rural areas. CONCLUSIONS: The results of this study illustrate how catchment and location-allocation analytic tools can be leveraged to guide the equitable selection of new mammography facility locations as part of a larger strategy to close breast cancer disparities.

"I Think There's Only Two Fields for That": Hospital Registrar Attitudes and Practices for Collecting Patient Gender Identity Data.

Purpose: This study aimed to understand the experiences of hospital registrars in collecting gender identity data. Methods: A qualitative study that thematically analyzed key informant interviews with 37 registrars regarding their attitudes and practices in collecting gender identity data. Results: Collection of gender identity is influenced by (1) system-level barriers, (2) discrepancies in source of truth for documentation, and (3) registrars' underlying attitudes and behaviors. Conclusions: Findings demonstrate that person- and system-level barriers can interfere with the accurate and respectful collection of gender identity data, which is critical for tracking and addressing lesbian, gay, bisexual, transgender, and queer health disparities.

A randomized clinical trial testing two implementation strategies to promote the treatment of tobacco dependence in community mental healthcare.

INTRODUCTION: People with serious mental illness (SMI) are more likely to smoke and less likely to receive tobacco treatment. Implementation strategies may address clinician and organizational barriers to treating tobacco in mental healthcare. METHODS: A cluster-randomized trial (Clinic N=13, Client N=610, Staff N=222) tested two models to promote tobacco treatment in community mental healthcare: standard didactic training vs. Addressing Tobacco Through Organizational Change (ATTOC), an organizational model that provides clinician and leadership training and addresses system barriers to tobacco treatment. Primary outcomes were changes in tobacco treatment from clients, staff, and medical records. Secondary outcomes were changes in smoking, mental health, and quality of life (QOL), and staff skills and barriers to treat tobacco. RESULTS: Clients at ATTOC sites reported a significant increase in receiving tobacco treatment from clinician at weeks 12 and 24 (ps<0.05) and tobacco treatments and policies from clinics at weeks 12, 24, 36, and 52 (ps<0.05), vs. standard sites. ATTOC staff reported a significant increase in skills to treat tobacco at week 36 (p=0.05), vs. standard sites. For both models, tobacco use medications, from clients (week 52) and medical records (week 36), increased (ps<0.05), while perceived barriers decreased at weeks 24 and 52 (ps<0.05); 4.3% of clients quit smoking which was not associated with model. QOL and mental health improved over 24 weeks for both models (ps<0.05). CONCLUSIONS: Standard training and ATTOC improve use of evidence-based tobacco treatments in community mental healthcare without worsening mental health, but ATTOC may more effectively address this practice gap.

The use of biomarkers to guide precision treatment for tobacco use.

This review summarizes the evidence to date on the development of biomarkers for personalizing the pharmacological treatment of combustible tobacco use. First, the latest evidence on FDA-approved medications is considered, demonstrating that, while these medications offer real benefits, they do not contribute to smoking cessation in approximately two-thirds of cases. Second, the case for using biomarkers to guide tobacco treatment is made based on the potential to increase medication effectiveness and uptake and reduce side effects. Next, the FDA framework of biomarker development is presented along with the state of science on biomarkers for tobacco treatment, including a review of the nicotine metabolite ratio, electroencephalographic event-related potentials, and other biomarkers utilized for risk feedback. We conclude with a discussion of the challenges and opportunities for the translation of biomarkers to guide tobacco treatment and propose priorities for future research.

A Catchment and Location-Allocation Analysis of Mammography Access in Delaware, US: Implications for disparities in geographic access to breast cancer screening.

Background: Despite a 40% reduction in breast cancer mortality over the last 30 years, not all groups have benefited equally from these gains. A consistent link between later stage of diagnosis and disparities in breast cancer mortality has been observed by race, socioeconomic status, and rurality. Therefore, ensuring equitable geographic access to screening mammography represents an important priority for reducing breast cancer disparities. This study conducted a catchment and location-allocation analysis of mammography access in Delaware, a state that is representative of the US in terms of race and urban-rural characteristics and experiences an elevated burden from breast cancer. Methods: A catchment analysis using the ArcGIS Pro Service Area analytic tool characterized the geographic distribution of mammography sites and Breast Imaging Centers of Excellence (BICOEs). Poisson regression analyses identified census tract-level correlates of access. Next, the ArcGIS Pro Location-Allocation analytic tool identified candidate locations for the placement of additional mammography sites in Delaware according to several sets of breast cancer screening guidelines. Results: The catchment analysis showed that for each standard deviation increase in the number of Black women in a census tract, there were 64% (95% CI, 0.18-0.66) fewer mammography units and 85% (95% CI, 0.04-0.48) fewer BICOEs. The more rural counties in the state accounted for 41 % of the population but only 22% of the BICOEs. The results of the location-allocation analysis depended on which set of screening guidelines were adopted, which included increasing mammography sites in communities with a greater proportion of younger Black women and in rural areas. Conclusions: The results of this study illustrate how catchment and location-allocation analytic tools can be leveraged to guide the equitable selection of new mammography facility locations as part of a larger strategy to close breast cancer disparities.

Neighborhood factors and triple negative breast cancer: The role of cumulative exposure to area-level risk factors.

BACKGROUND: Despite similar incidence rates among Black and White women, breast cancer mortality rates are 40% higher among Black women. More than half of the racial difference in breast cancer mortality can be attributed to triple negative breast cancer (TNBC), an aggressive subtype of invasive breast cancer that disproportionately affects Black women. Recent research has implicated neighborhood conditions in the etiology of TNBC. This study investigated the relationship between cumulative neighborhood-level exposures and TNBC risk. METHODS: This single-institution retrospective study was conducted on a cohort of 3316 breast cancer cases from New Castle County, Delaware (from 2012 to 2020), an area of the country with elevated TNBC rates. Cases were stratified into TNBC and "Non-TNBC" diagnosis and geocoded by residential address. Neighborhood exposures included census tract-level measures of unhealthy alcohol use, metabolic dysfunction, breastfeeding, and environmental hazards. An overall cumulative risk score was calculated based on tract-level exposures. RESULTS: Univariate analyses showed each tract-level exposure was associated with greater TNBC odds. In multivariate analyses that controlled for patient-level race and age, tract-level exposures were not associated with TNBC odds. However, in a second multivariate model that included patient-level variables and considered tract-level risk factors as a cumulative exposure risk score, each one unit increase in cumulative exposure was significantly associated with a 10% increase in TNBC odds. Higher cumulative exposure risk scores were found in census tracts with relatively high proportions of Black residents. CONCLUSIONS: Cumulative exposure to neighborhood-level risk factors that disproportionately affect Black communities was associated with greater TNBC risk.

Reducing Exposure to Tobacco Retailers with Residential Zoning Policy: Insights from a Geospatial Analysis of Wilmington, Delaware.

Cigarette use remains the leading preventable cause of premature mortality in the US, with declines in smoking rates slowing in recent years. One promising target for improved tobacco control is the expanded regulation of tobacco retailers. Evaluations of such policy attempts have largely produced mixed results to date. The objective of this study was to the assess the potential of using a novel, residentially-focused zoning approach to produce a more targeted and equitable reduction in tobacco retailers in high-risk urban settings. We focused on Wilmington, Delaware, a city characterized by high poverty rates, a majority Black population, a disparate number of tobacco retailers, and an elevated smoking prevalence. Through the use of geospatial analyses, we observed disproportionately higher counts of convenience store tobacco retailers in medium- and high-density residential zones in Wilmington relative to the surrounding county. By linking electronic health record (EHR) data from a local health care system and US Census Bureau data, we further found that approximately 80% of Wilmington smokers and 60% of Wilmington youth lived in these residential zones. These findings highlight the potential to more equitably reduce tobacco retailer exposure through a residentially-focused zoning approach. Tobacco control policy and research implications are considered.

Policy Recommendations for Reducing Tobacco Exposure for Youth and Adults in Wilmington, Delaware.

Objective: To highlight and recommend policies that can be projected to reduce disproportionate tobacco exposure for youth and adults in Wilmington, Delaware's densest and most disadvantaged neighborhoods. Four policy options were drawn from the literature: pharmacy tobacco bans, zoning-based tobacco retailer reductions, residential density caps, and buffers around K-12 schools. Method: Changes in tobacco retailer density and resident-to-retailer distance in Wilmington's medium- and high- density residentially zoned neighborhoods were projected using GIS analysis of current conditions and projections for each of the four policies. Results: Banning tobacco sales in pharmacies was found to be least effective, while 500-meter buffers around K-12 schools was projected to have the greatest impact on both retailer density and resident-to-retailer distance. Policy Implications: As a result of these findings, the authors recommend a ban of tobacco sales with a 500-meter radius of all K-12 schools in the City of Wilmington.

Momentary Partner Involvement in Diabetes Self-Care and Continuously Measured Glucose: A Dynamic Analysis.

OBJECTIVE: This study examined the dynamic, real-time associations between partner involvement in diabetes self-care and continuous glucose monitor (CGM) metrics in adults with type 2 diabetes. METHODS: For 1 week, 63 participants wore Dexcom G4 CGMs and provided momentary reports of partner involvement in diabetes self-care five times per day. Dynamic structural equation models were used to estimate the reciprocal lagged effects of partner involvement on next-hour CGM metrics (and vice versa). RESULTS: Partner involvement predicted improved next-hour glucose control for five of six CGM metrics in analyses adjusted for time-varying covariates. The hour after partner involvement, the model predicted a 26.34 mg/dl decrease in glucose level (standardized ß = -0.19), 30% greater odds of meeting target time in target range ( ß = 0.07), 48% higher odds of target time below target range (TBR; ß = 0.04; the only nonsignificant effect), 47% greater odds of target time above target range (ß = 0.11), a 4.20 unit decrease in glucose standard deviation ( ß = -0.19), and a 0.01 unit decrease in glucose coefficient of variation ( ß = -0.08; all p values < .05). There was less consistent support for the reverse pathway, with only two metrics significantly related to next-hour partner involvement: glucose level ( ß = 0.15) and TBR ( ß = 0.21), such that having higher levels and meeting target TBR were significantly predictive of next-hour partner involvement. CONCLUSIONS: This is the first study showing that partner involvement in daily diabetes management predicts short-term glucose control. More research is needed to understand how partners influence glycemic control and evaluate interventions that promote their involvement in diabetes care.

Daily partner responsiveness and everyday sleep outcomes in breast cancer survivors and their partners.

PURPOSE: Breast cancer (BC) survivors and their intimate partners face several adverse consequences from the cancer experience, including sleep disturbance, which is a common side effect of BC and its treatment. Sleep has been conceptualized and examined as an individual phenomenon despite most adults sharing a bed/room with a partner. Limited research has examined the associations between daily relationship processes and sleep in couples coping with cancer. Using an intensive longitudinal design, the present study examined the daily, within-person links between attempted and perceived partner responsiveness and subjective sleep. METHODS: Immediately following adjuvant treatment, 72 early-stage BC survivors and their intimate partners (144 paired individuals) reported on daily attempted and perceived partner responsiveness each evening and subjective sleep each morning for 21 consecutive days. RESULTS: Survivor and partner reports of partner responsiveness were associated with their own subjective sleep, such that greater attempted and perceived partner responsiveness were associated with improvements in one's own subjective sleep. Effects of one participant's partner responsiveness on their partner's sleep were not observed. CONCLUSIONS: Findings suggest that among couples coping with early-stage BC, increased partner responsiveness is associated with subsequent improvements in subjective sleep. IMPLICATIONS FOR CANCER SURVIVORS: Sleep disturbance is a serious concern for BC survivors and their intimate partners. Future research should assess intimacy processes as a potential method to improve BC survivor and partner sleep.

Aggregated spatial intensity as a method for estimating point-level exposures within area-level units: The case of tobacco retailer exposure in census tracts.

BACKGROUND: Aggregating point-level events to area-level units can produce misleading interpretations when displayed via choropleth maps. We developed the aggregated intensity method to share point-level location information across unit boundaries prior to aggregation. This method was applied to tobacco retailers among census tracts in New Castle County, DE. METHODS: Aggregated intensity uses kernel density estimation to generate spatially continuous expected counts of events per unit area, then aggregates these results to area-level units. We calculated a relative difference measure to compare aggregated intensity to observed counts. RESULTS: Aggregated intensity produces estimates of event exposure unconstrained by boundaries. The relative difference between aggregated intensity and counts is greater for units with many events proximal to their borders. The appropriateness of aggregated intensity depends on events' spatial influence and proximity to unit boundaries, as well as computational inputs. CONCLUSIONS: Aggregated intensity may facilitate more spatially realistic estimates of exposure to point-level events.

Racial disparities in triple negative breast cancer: toward a causal architecture approach.

BACKGROUND: Triple negative breast cancer (TNBC) is an aggressive subtype of invasive breast cancer that disproportionately affects Black women and contributes to racial disparities in breast cancer mortality. Prior research has suggested that neighborhood effects may contribute to this disparity beyond individual risk factors. METHODS: The sample included a cohort of 3316 breast cancer cases diagnosed between 2012 and 2020 in New Castle County, Delaware, a geographic region of the US with elevated rates of TNBC. Multilevel methods and geospatial mapping evaluated whether the race, income, and race/income versions of the neighborhood Index of Concentration at the Extremes (ICE) metric could efficiently identify census tracts (CT) with higher odds of TNBC relative to other forms of invasive breast cancer. Odds ratios (OR) and 95% confidence intervals (CI) were reported; p-values < 0.05 were significant. Additional analyses examined area-level differences in exposure to metabolic risk factors, including unhealthy alcohol use and obesity. RESULTS: The ICE-Race, -Income-, and Race/Income metrics were each associated with greater census tract odds of TNBC on a bivariate basis. However, only ICE-Race was significantly associated with higher odds of TNBC after adjustment for patient-level age and race (most disadvantaged CT: OR = 2.09; 95% CI 1.40-3.13), providing support for neighborhood effects. Higher counts of alcohol and fast-food retailers, and correspondingly higher rates of unhealthy alcohol use and obesity, were observed in CTs that were classified into the most disadvantaged ICE-Race quintile and had the highest odds of TNBC. CONCLUSION: The use of ICE can facilitate the monitoring of cancer inequities and advance the study of racial disparities in breast cancer.

Fear of Cancer Recurrence and Sleep in Couples Coping With Early-Stage Breast Cancer.

BACKGROUND: Fear of cancer recurrence (FCR) and sleep disturbance are common in cancer survivors. Yet, little research has examined their relationship, and even less is known about what links may exist between these variables among the intimate partners of cancer survivors. PURPOSE: This study examines the relationship between FCR and sleep disturbance in breast cancer survivors and their partners. Using daily sleep data collected at two distinct periods early in survivorship-the completion of adjuvant treatment and the first post-treatment mammogram-higher survivor and partner FCR was hypothesized to predict greater sleep disturbance. METHODS: Breast cancer survivors and intimate partners (N = 76 couples; 152 individuals) each reported sleep duration, sleep quality, sleep onset latency, and wake after sleep onset each morning of two 21-day sleep diary bursts during the first year post-diagnosis. Three validated measures formed latent FCR factors for survivors and partners, which were used to predict average daily sleep. RESULTS: Across both sleep diary bursts, survivor FCR was associated with their own reduced sleep duration, reduced sleep quality, and greater sleep onset latency. Survivor FCR was also associated with their partners' reduced sleep quality and greater sleep onset latency. Partner FCR was associated with their own reduced sleep duration, reduced sleep quality, and greater sleep onset latency. Partner FCR was also associated with survivors' reduced sleep quality. CONCLUSIONS: Findings revealed intrapersonal and interpersonal associations between FCR and sleep disturbance, addressing gaps in knowledge on FCR and an outcome with known short- and long-term implications for health and mortality.

The longitudinal course of emotional and cognitive factors of fear of cancer recurrence in breast cancer patients and their partners.

OBJECTIVE: Although fear of cancer recurrence (FCR) has been conceptualized as a multidimensional construct with emotional and cognitive components, little work has distinguished or assessed both components. Further, most existing research has not included intimate partners of cancer patients, although they also experience FCR. This study aimed to (1) determine whether FCR is better conceptualized as a singular or multidimensional construct at the within-person level over time and (2) model the corresponding trajectories in patients and their partners. METHODS: Female early stage breast cancer patients and their partners (N = 78 couples) completed up to five assessments over the first year post-diagnosis tapping both emotional and cognitive elements of FCR. Multilevel confirmatory factor analysis was used to evaluate FCR's factor structure, and multivariate latent growth curve modeling was used to estimate trajectories of emotional and cognitive FCR. RESULTS: FCR was best conceptualized as two distinct but related emotional and cognitive factors. In patients and partners, emotional FCR decreased over the first year post-diagnosis on average, while cognitive FCR did not change over time. CONCLUSIONS: Findings support the conceptualization of FCR as a multidimensional construct and underscore the potential importance of distinguishing emotional and cognitive components of FCR in future research.

A Population Health Assessment in a Community Cancer Center Catchment Area: Triple-Negative Breast Cancer, Alcohol Use, and Obesity in New Castle County, Delaware.

BACKGROUND: The NCI requires designated cancer centers to conduct catchment area assessments to guide cancer control and prevention efforts designed to reduce the local cancer burden. We extended and adapted this approach to a community cancer center catchment area with elevated rates of triple-negative breast cancer (TNBC). METHODS: Cancer registry data for 462 TNBC and 2,987 "Not-TNBC" cases diagnosed between 2012 and 2020 at the Helen F. Graham Cancer Center & Research Institute (HFGCCRI), located in New Castle County, Delaware, were geocoded to detect areas of elevated risk (hot spots) and decreased risk (cold spots). Next, electronic health record (EHR) data on obesity and alcohol use disorder (AUD) and catchment area measures of fast-food and alcohol retailers were used to assess for spatial relationships between TNBC hot spots and potentially modifiable risk factors. RESULTS: Two hot and two cold spots were identified for TNBC within the catchment area. The hot spots accounted for 11% of the catchment area but nearly a third of all TNBC cases. Higher rates of unhealthy alcohol use and obesity were observed within the hot spots. CONCLUSIONS: The use of spatial methods to analyze cancer registry and other secondary data sources can inform cancer control and prevention efforts within community cancer center catchment areas, where limited resources can preclude the collection of new primary data. IMPACT: Targeting community outreach and engagement activities to TNBC hot spots offers the potential to reduce the population-level burden of cancer efficiently and equitably.