Unveiling rural and Appalachian disparities in cigarette smoking through the social vulnerability index and other county-level characteristics.

PURPOSE: Mitigating tobacco-related disparities in the Appalachian region and rural areas is crucial. This study seeks to gauge cigarette smoking prevalence in Virginia counties, uncover rurality and Appalachian-linked disparities, and explore local drivers of these gaps. METHOD: A 2011-2019 Virginia BRFSS data were used to estimate county-level cigarette smoking rates in adults aged 18 or older. Counties were categorized as urban/rural and Appalachian/non-Appalachian, with a focus on rural-Appalachian. Disparities in cigarette smoking rates and associated factors were analyzed via the Blinder-Oaxaca decomposition method. The study assessed 4 dimensions of the Centers for Disease Control and Prevention's social vulnerability index (SVI): socioeconomic, minority status, household composition, and housing. Additionally, county-specific factors such as tobacco agriculture, physician availability, coal mining, and tobacco retailer density were examined. FINDINGS: Rural areas exhibited a 6.18% higher cigarette smoking prevalence compared to urban areas (P<.001). SVI dimensions accounted for 53.2% of the disparity, county features explained 16.4%, and 30.4% remained unexplained. Appalachian areas had a 6.79% higher cigarette smoking prevalence than non-Appalachian areas (P<.001). SVI dimensions explained 51.4% of the disparity, county features accounted for 21.8%, leaving 26.8% unexplained. Rural-Appalachian areas showed a 7.8% higher cigarette smoking prevalence (P<.001). SVI dimensions contributed to 51.7% of the disparity, county features explained 9.6%, and 38.7% remained unexplained. CONCLUSIONS: Substantial disparities in cigarette smoking prevalence exist in underserved areas of Virginia, including rural, Appalachian, and rural-Appalachian regions. While SVI dimensions, physician availability, tobacco agriculture, and coal mining contribute, yet notable gaps remain unexplained. Targeted interventions must tackle unique challenges in disadvantaged areas to reduce smoking and promote health equity.

US Medicare Hospice and Palliative Medicine Physician Workforce and Service Delivery in 2008-2020.

CONTEXT: Despite clinical benefits of early palliative care, little is known about Medicare physician workforce specialized in Hospice and Palliative Medicine (HPM) and their service delivery settings. OBJECTIVES: To examine changes in Medicare HPM physician workforce and their service delivery settings in 2008-2020. METHODS: Using the Medicare Data on Provider Practice and Specialty from 2008 to 2020, we identified 2375 unique Medicare Fee-For-Service (FFS) physicians (15,565 physician-year observations) with self-reported specialty in "Palliative Care and Hospice". We examined changes in the annual number of HPM physicians, average number of Medicare services overall and by care setting, total number of Medicare FFS beneficiaries, and total Medicare allowed charges billed by the physician. RESULTS: The number of Medicare HPM physicians increased 2.32 times from 771 in 2008 to 1790 in 2020. The percent of HPM physicians practicing in metropolitan areas increased from 90% to 96% in 2008-2020. Faster growth was also observed in female physicians (52.4% to 60.1%). Between 2008 and 2020, we observed decreased average annual Medicare FFS beneficiaries (170 to 123), number of FFS services (467 to 335), and Medicare allowed charges billed by the physician ($47,230 to $37,323). The share of palliative care delivered in inpatient settings increased from 47% to 68% in 2008-2020; whereas the share of services delivered in outpatient settings decreased from 37% to 19%. CONCLUSION: Despite growth in Medicare HPM physician workforce, access is disproportionately concentrated in metropolitan and inpatient settings. This may limit receipt of early outpatient specialized palliative care, especially in nonmetropolitan areas.

Patient Experience of Women With Dense Breasts Undergoing Screening Contrast-Enhanced Mammography.

OBJECTIVE: We investigated patient experience with screening contrast-enhanced mammography (CEM) to determine whether a general population of women with dense breasts would accept CEM in a screening setting. METHODS: In this institutional review board-approved prospective study, patients with heterogeneous and extremely dense breasts on their mammogram were invited to undergo screening CEM and complete pre-CEM and post-CEM surveys. On the pre-CEM survey, patients were asked about their attitudes regarding supplemental screening in general. On the post-CEM survey, patients were asked about their experience undergoing screening CEM, including causes and severity of any discomfort and whether they would consider undergoing screening CEM again in the future or recommend it to a friend. RESULTS: One hundred sixty-three women were surveyed before and after screening CEM. Most patients, 97.5% (159/163), reported minimal or no unpleasantness associated with undergoing screening CEM. In addition, 91.4% (149/163) said they would probably or very likely undergo screening CEM in the future if it cost the same as a traditional screening mammogram, and 95.1% (155/163) said they would probably or very likely recommend screening CEM to a friend. Patients in this study, who were all willing to undergo CEM, more frequently reported a family history of breast cancer than a comparison cohort of women with dense breasts (58.2% vs 47.1%, P = .027). CONCLUSION: Patients from a general population of women with dense breasts reported a positive experience undergoing screening CEM, suggesting screening CEM might be well received by this patient population, particularly if the cost was comparable with traditional screening mammography.

Testing the feasibility of the QuitAid smoking cessation intervention in a randomized factorial design in an independent, rural community pharmacy.

BACKGROUND: Adult smoking rates in the USA are highest in economically depressed rural Appalachia. Pharmacist-delivered tobacco cessation support that incorporates medication therapy management (such as the QuitAid intervention) is a promising approach to address this need. METHODS: Twenty-four adult smokers recruited between September and November 2021 through an independent pharmacy in rural Appalachia were randomized in a non-blinded 2 × 2 × 2 factorial design to (1) pharmacist delivered QuitAid intervention (yes vs. no); (2) combination nicotine replacement therapy (NRT) gum + NRT patch (vs. NRT patch); and/or (3) 8 weeks of NRT (vs. standard 4 weeks). Participants received 4 weeks of NRT patch in addition to the components to which they were assigned. Participants completed baseline and 3-month follow-up assessments. Primary outcomes were feasibility of recruitment and randomization, retention, treatment adherence, and fidelity. RESULTS: Participants were recruited in 7 weeks primarily through a referral process, commonly referred to as ask-advise-connect (61%). Participants were on average 52.4 years old, 29.2% were male and the majority were white (91.6%) and Non-Hispanic (91.7%). There was a high level of adherence to the interventions, with 85% of QuitAid sessions completed, 83.3% of the patch used, and 54.5% of gum used. Participants reported a high level of satisfaction with the program, and there was a high level of retention (92%). CONCLUSIONS: This demonstration pilot randomized controlled study indicates that an ask-advise-connect model for connecting rural smokers to smoking cessation support and providing QuitAid for smoking cessation is feasible and acceptable among rural Appalachian smokers and independent pharmacists. Further investigation into the efficacy of a pharmacist-delivered approach for smoking cessation is needed. TRIAL REGISTRATION: The trial was retrospectively registered at ClinicalTrials.gov. Trial #: NCT05649241.

Investigating psychological mechanisms linking pain severity to depression symptoms in women cancer survivors at a cancer center with a rural catchment area.

PURPOSE: Women cancer survivors, especially those in rural areas, with high levels of depression may be acutely susceptible to pain due to the ways they think, feel, and behave. The current study seeks to elucidate the relationship between symptoms of depression and pain severity in women cancer survivors, by examining the putative mediators involved in this relationship, specifically their self-efficacy for managing their health, how overwhelmed they were from life's responsibilities, and relational burden. METHODS: Self-report data were collected from 183 cancer survivors of breast, cervical, ovarian, or endometrial/uterine cancer, who were between 6 months and 3 years post-active therapy. RESULTS: Women cancer survivors with higher (vs. lower) symptoms of depression had more severe pain. Individual mediation analyses revealed that survivors with higher levels of depression felt more overwhelmed by life's responsibilities and had lower self-efficacy about managing their health, which was associated with greater pain severity. When all mediators were simultaneously entered into the same model, feeling overwhelmed by life's responsibilities significantly mediated the link between survivors' symptoms of depression and their pain severity. CONCLUSIONS: The relationship between symptoms of depression and pain severity in women cancer survivors may be attributed in part to their self-efficacy and feeling overwhelmed by life's responsibilities. Early and frequent assessment of psychosocial factors involved in pain severity for women cancer survivors may be important for managing their pain throughout the phases of cancer survivorship.

The Breast-Imaging Operations, Practices and Systems Inventory: A framework to examine mammography facility effects on screening in rural communities.

PURPOSE: Develop and test a measurement framework of mammogram facility resources, policies, and practices in Appalachia. METHODS: Survey items describing 7 domains of imaging facility qualities were developed and tested in the Appalachian regions of Kentucky, Ohio, Pennsylvania, Virginia, and West Virginia. Medicare claims data (2016-2018) were obtained on catchment area mammogram services. Construct validity was examined from associations with facility affiliation, community characteristics, mammogram screening uptake, and market reach. Analyses were performed with t-tests and ANOVA. RESULTS: A total of 192 (of 377) sites completed the survey. Five factors were initially selected in exploratory factor analysis (FA) and refined in confirmatory FA: capacity, outreach & marketing, operational support, radiology review (NNFI = .94, GFI = 0.93), and diagnostic services (NNFI = 1.00, GFI = 0.99). Imaging capacity and diagnostic services were associated with screening uptake, with capacity strongly associated with catchment area demographic and economic characteristics. Imaging facilities in economically affluent versus poorer areas belong to larger health systems and have significantly more resources (P < .001). Facilities in economically distressed locations in Appalachia rely more heavily on outreach activities (P < .001). Higher facility capacity was significantly associated (P < .05) with larger catchment area size (median split: 48.5 vs 51.6), mammogram market share (47.4 vs 52.7), and screening uptake (47.6 vs 52.4). CONCLUSIONS: A set of 18 items assessing breast imaging services and facility characteristics was obtained, representing policies and practices related to a facility's catchment area size, market share, and mammogram screening uptake.

Factors associated with perceived personal risk for breast cancer among women with dense breasts.

PURPOSE: To determine what patient factors are associated with a high or an accurate perceived personal risk (PPR) for breast cancer. METHODS: An IRB-approved survey study of women with dense breasts presenting for annual screening mammography was previously conducted from March 2017 to February 2018. Patients were asked to estimate their personal risk for breast cancer and to answer questions about prior breast care-related medical interactions. Survey data were combined post hoc with demographic and clinical data, including breast cancer risk status, and socioeconomic data imputed for each patient from census data. Logistic regression was used to determine which patient factors were associated with a high or accurate PPR. RESULTS: Surveys were completed by 508 women with dense breasts (median age 59.0 years). A high PPR was independently associated with younger age (AOR, 1.71 [95% CI, 1.13, 2.60]), family history of breast cancer (AOR 4.27 [95% CI, 2.81-7.34]), having a clinical "high-risk" designation (AOR, 3.43 [95% CI, 1.13-10.39], and having been called back from screening (AOR, 1.94 [95% CI, 1.14-3.32]). A lower accuracy of PPR was independently associated with a family history of breast cancer (AOR, 0.25 [95% CI, 0.14-0.42]) and having been called back from screening (AOR, 0.58 [95% CI, 0.35-0.98]). CONCLUSION: Women with dense breasts who had a family history of breast cancer or who had been called back from screening had a higher but less accurate PPR. Women with a "high-risk" clinical designation had a higher PPR, even when controlling for family history.

Factors Associated With Breast Cancer Screening Behaviors Among Women With Dense Breasts.

OBJECTIVE: We sought to identify patient factors associated with patient-reported screening behaviors in women with dense breasts. METHODS: An IRB-approved survey study of women with dense breasts presenting for annual screening mammography at an outpatient imaging center was previously conducted from March 2017 to February 2018. The survey included questions regarding mammographic screening frequency and recent participation in supplemental screening. These survey data were combined post hoc with clinical and demographic data and socioeconomic data imputed from census data. Logistic regression was used to identify patient factors associated with reported screening behaviors. RESULTS: Surveys were completed by 508 women (median age, 59.0 years; range, 31.0-86.0 years) with dense breasts. Multivariable analysis demonstrated an independent association of undergoing mammographic screening annually with a history of discussing breast density with a doctor (adjusted odds ratio [AOR], 2.60; P = 0.019). Undergoing supplemental screening in the previous three years was independently associated with younger age (AOR, 1.59; P = 0.004), strong family history of breast cancer (AOR, 3.84; P = 0.027), higher perceived personal risk for breast cancer (AOR, 3.47; P = 0.004), and increased concern about radiation associated with screening examinations (AOR, 3.31; P = 0.006). CONCLUSION: Women with dense breasts who had discussed breast density with a doctor were more likely to report undergoing annual screening mammography, while younger women and women with a strong family history of breast cancer, higher perceived personal risk for breast cancer, or greater concern about radiation were more likely to report recently undergoing supplemental screening.

Cancer Prevention from the Viewpoint of UVA Comprehensive Cancer Center.

Prevention is a cornerstone of the guiding mission of the University of Virginia Comprehensive Cancer Center, which is "to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion." We find it useful to conceptualize different opportunities for cancer prevention using NCI's Health Behaviors Research Branch's multilevel translational framework. The latter considers three intersecting continuums: cancer control-from prevention through survivorship; translation-from basic sciences to dissemination and implementation; and level of influence or impact-from genetics to policy. An advantage of this heuristic is that "prevention" is inherently defined as an inter-programmatic concept cutting across basic, clinical, and population science research rather than solely as a programmatic domain of Population Sciences. Through the UVA community outreach and engagement, we apply this multilevel framework to mitigate the social determinants of cancer risk and outcomes that drive cancer inequities in our catchment area. Below, we provide examples of our prevention research and translation along the model continuums and focus on equity.

Cancer Prevention from the Viewpoint of UVA Comprehensive Cancer Center.

Prevention is a cornerstone of the guiding mission of the University of Virginia Comprehensive Cancer Center, which is "to reduce the burden of cancer for the patients of today, through skilled, integrated, and compassionate care and to eliminate the threat of cancer for the patients of tomorrow, through research and education in an environment that promotes diversity, equity, and inclusion." We find it useful to conceptualize different opportunities for cancer prevention using NCI's Health Behaviors Research Branch's multilevel translational framework. The latter considers three intersecting continuums: cancer control-from prevention through survivorship; translation-from basic sciences to dissemination and implementation; and level of influence or impact-from genetics to policy. An advantage of this heuristic is that "prevention" is inherently defined as an inter-programmatic concept cutting across basic, clinical, and population science research rather than solely as a programmatic domain of Population Sciences. Through the UVA community outreach and engagement, we apply this multilevel framework to mitigate the social determinants of cancer risk and outcomes that drive cancer inequities in our catchment area. Below, we provide examples of our prevention research and translation along the model continuums and focus on equity.

The State of Breast Cancer Reconstruction in Virginia: An Evidence-Based Framework for Identifying Locoregional Health Disparities.

BACKGROUND: Age, race, socioeconomic status, and proximity to plastic surgeons have been shown to impact receipt of reconstruction after mastectomy in several national studies. Given that targeted outreach efforts and programs to address these discrepancies would occur locoregionally, investigation of these reconstructive trends on a state level is warranted. STUDY DESIGN: Patients diagnosed with breast cancer in Virginia between 2000 and 2018 were identified in the Virginia Department of Health Cancer Registry. Patients who underwent mastectomy breast conservation surgery, and/or breast reconstruction at the time of oncologic surgery were identified. Patient demographics were analyzed, and logistic regression analyses were used to determine the likelihood of receipt of mastectomy, receipt of mastectomy versus breast conservation surgery, receipt of mastectomy with reconstruction versus mastectomy alone, and receipt of mastectomy with reconstruction versus breast conservation surgery with respect to the demographic variables. Geographically weighted regression analyses were also performed to determine impact of geographic location on receipt of mastectomy and reconstruction after mastectomy. RESULTS: A total of 78,682 patients in Virginia underwent surgical treatment for breast cancer between 2000 and 2018. Living outside a metropolitan area, increased age, lower socioeconomic status, non-White race, and lower number of plastic surgeons within 50 miles were associated with decreased rates of postmastectomy reconstruction. Rural setting, lower socioeconomic status, and lower plastic surgeon supply were also associated with decreased rates of breast conservation surgery. Reconstruction after mastectomy was lowest in the northwest, central, and southwest regions of Virginia. CONCLUSIONS: Within the state of Virginia, programs to improve access to breast reconstruction for patients residing in rural regions, as well as non-White patients, older patients, and those in lower socioeconomic groups should be implemented. Future studies would implement and study the efficacy of such outreach programs, which could then be applied and tailored to other states or regions to address sociodemographic disparities in access to breast reconstruction.

Are Wellness Visits a Possible and Effective Cure for the Increasing Cancer Burden in Poland? Example of Women's Preventive Services in the U.S.

Background: Cancer is one of the leading causes of death among Polish women in general, and first in women aged 25−64. Contributing to this cancer burden are modifiable behavioral risk factors, including low utilization of cancer screenings. Poland has an urgent need for new systemic solutions that will decrease cancer burden in the female Polish population. This study examined the United States' implementation of preventive wellness visits as a viable solution for implementation in Poland. Methods: Health insurance claims data for nearly three million women in five states of the U.S. were examined to identify use of mammograms, colorectal cancer screening, and lung cancer screening. Three subgroups of the cohort were assessed for the probability of receipt of screening associated with type of healthcare visit history (women with wellness visits­W; with wellness visits and related preventive services and screenings­W+P; and control group­C). All multiple comparisons were significant (alpha = 0.05) at p < 0.0001, except comparison between subgroups (W vs. P+W) for lung cancer screening. Results: Breast and colorectal cancer screenings had substantially higher participation after W and W+P in comparison with C; moreover, a slight increase after W or P+W was seen for lung cancer as well. Conclusions: Results indicate that wellness visits are an effective tool for increasing cancer screening among women in the U.S. Introduction of a similar solution in Poland could potentially help produce higher screening rates, address cancer prevention needs (not only for secondary cancer prevention), and lower cancer burden.

Evaluating the feasibility of pharmacist-facilitated tobacco cessation interventions in independent community pharmacies in rural Appalachia.

BACKGROUND: Smoking rates in the United States are the highest in underserved rural regions. Thus, more points of contact are needed to link smokers to evidence-based cessation programs. OBJECTIVES: The purpose of this study was to conduct an evaluation to determine the feasibility, acceptability, and interest among rural pharmacists in implementing a pharmacist-facilitated smoking cessation program in independent community pharmacies in rural Appalachian communities in Virginia, North Carolina, Tennessee, and West Virginia. METHODS: This study utilized a complementary sequential mixed-methods approach to explore independent community pharmacists and technicians' experiences and beliefs about implementing a tobacco cessation program in their pharmacy. RESULTS: There were 49 pharmacists or technicians who completed the survey and 7 pharmacists who participated in the interviews. Four main findings emerged from the data: 1) pharmacies can help fill the gap in tobacco cessation services in rural communities, 2) under current practice, tobacco cessation resources when offered by independent community pharmacies are not always formalized, 3) there are known barriers, such as reimbursing for services, that need to be addressed to provide tobacco cessation in an independent pharmacy setting, and 4) the Ask-Advise-Connect model is a feasible tobacco cessation approach in a pharmacy. CONCLUSION: Although pharmacists may be ideally situated to build capacity for smoking cessation in rural areas, smoking cessation interventions need to use existing approaches that compensate pharmacists for their time spent counseling patients. Furthermore, simple documentation and billing systems are needed to maximize utilization of tobacco cessation products and services provided in the pharmacy.

Localized prostate cancer: An analysis of the Centers for Disease Control and Prevention Breast and Prostate Cancer Data Quality and Patterns of Care study (CDC PoC-BP).

INTRODUCTION: Limited evidence exists on the comparative effectiveness of local treatments for prostate cancer (PCa) due to the lack of generalizability. Using granular national data, we sought to examine the association between radical prostatectomy (RP) and intensity-modulated radiation therapy (IMRT) treatment and survival. METHODS: Records were abstracted for localized PCa cases diagnosed in 2004 across seven state registries to identify patients undergoing RP (n=3019) or IMRT (n=667). Comorbidity was assessed by the Adult Comorbidity Evaluation-27 (ACE-27). Propensity score matching (PSM) was used to balance covariates between treatment groups. All-cause and PCa-specific mortality were primary endpoints. A subgroup analysis of patients with high-risk PCa (RP, n=89; IMRT, n=95) was conducted. RESULTS: Following PSM, matched patients (n=502 pairs) treated with either RP or IMRT were well-balanced with respect to covariates. With a median followup of 10.5 years (interquartile range [IQR] 9.9-11.0), the 11-year overall survival (OS) was 71.2% (95% confidence interval [CI] 66.9-75.8) for RP and 62.3% (95% CI 57.4-67.6) for IMRT. IMRT was associated with a 41% increased risk of all-cause mortality (hazard ratio [HR] 1.41, 95% CI 1.13-1.76) but not PCa-specific mortality (HR 1.75, 95% CI 0.84-3.64), as compared to RP. In patients with high-risk PCa, IMRT, as compared to RP, was not associated with a statistically significant difference in all-cause (HR 1.53, 95% CI 0.97-2.42) or PCa-specific mortality (HR 1.92, 95% CI 0.69-5.36). CONCLUSIONS: Despite a low mortality rate at 10 years and possible residual confounding, we found a significantly increased risk of all-cause mortality but no PCa-specific mortality associated with IMRT as compared to RP in this population-based study.

Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.

BACKGROUND: Colorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities. METHODS: County- and city-level cross-sectional data for 2011-2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression. RESULTS: For incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region. CONCLUSIONS: Rurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.

Effects of Adjuvant Endocrine Therapy Adherence and Radiation on Recurrence and Survival Among Older Women with Early-Stage Breast Cancer.

BACKGROUND: The Cancer and Leukemia Group-B 9343 (CALGB 9343) trial demonstrated that women aged ≥ 70 years with early-stage breast cancer can safely omit radiation therapy (RT) and be treated with breast-conserving surgery (BCS) and adjuvant endocrine therapy (AET) alone. AET adherence is low, leaving an undertreated cohort who may be at increased risk of recurrence and death. We hypothesized that AET adherence and adjuvant treatment choice impact recurrence and survival among CALGB 9343 eligible women. PATIENTS AND METHODS: SEER-Medicare was used to identify CALGB 9343 eligible women who underwent BCS between 2007 and 2016. Medicare claims were used to identify AET use, and the proportion of days covered by AET was used to categorize adherent (PDC ≥ 0.80) versus nonadherent patients (PDC < 0.80). Recurrence-free, cancer-specific, and overall survival were assessed using Cox proportional hazards models. RESULTS: In total, 10,719 women were identified, of whom 780 (7.3%) underwent BCS alone, 1490 (13.9%) underwent BCS + RT, 1663 (15.5%) underwent BCS + AET, and 6786 (63.3%) had BCS + RT + AET. Among women treated with BCS + AET, adherent patients had lower recurrence than did nonadherent patients (HR = 0.65, 95% CI: 0.50-0.85). With respect to adjuvant treatment combinations, there was no recurrence difference between the BCS + RT + AET group and BCS + AET group (HR = 0.81, 95% CI: 0.54-1.21). There was equivalent cancer-specific but worse overall survival in the BCS + AET group versus the BCS + AET + RT group. CONCLUSIONS: While BCS + RT + AET may represent overtreatment for some, AET nonadherent women who omit RT are at risk for worse outcomes. Treatment decisions regarding RT omission should be tailored to the individual patient, taking into consideration the chances of AET nonadherence and the patients' own risk tolerance.

Genesis of Quality Measurements to Improve the Care Delivered to Patients With Brain Metastases.

PURPOSE: High-value and high-quality health care requires outcome measurements to inform treatment decisions, but, to our knowledge, no standardized measurements exist to evaluate brain metastases (BMs) care. We propose a set of measurements and report on their implementation in the care of patients with BMs. METHODS: On the basis of a stakeholders' needs assessment and review of the literature, we identified outcome and process measurements to assess the care of patients with BMs according to treatment modality. Retrospectively, we applied these indicators of care to all patients diagnosed and treated at our institution over 2 years. RESULTS: We ascertained 5 outcome and 6 process measurements of relevance in the care of BMs. When applied to 209 patients (89.7%) who received cancer treatment, 77% were alive > 90 days after diagnosis. The proportion alive at 90 days after surgery, whole-brain radiation therapy (WBRT), and stereotactic radiosurgery (SRS) was 82%, 59%, and 81%, respectively. Other performance measurements included 30-day postoperative readmission rate (6%), SRS within 30 days of surgery (79%), use of memantine with WBRT (41%), advance directives within 6 months of diagnosis (53%), and palliative care consultation for patients with poor prognosis or receiving WBRT (45%). Measurements for the 24 patients (10.3%) receiving best supportive care were advance directives documentation (67%) and referral to palliative or hospice care (83%). CONCLUSION: We propose a set of measurements to apprise quality improvement efforts, inform treatment decision-making, and to use in evaluation of the performance of interdisciplinary BMs programs. Their refinement can potentially enhance the quality and value of care delivered to patients with BMs.

Patient Characteristics Associated With Patient-Reported Deterrents to Adjunct Breast Cancer Screening of Patients With Dense Breasts.

BACKGROUND. The success of adjunct breast cancer screening of women with dense breasts can be enhanced by identifying and addressing patient concerns regarding adjunct screening modalities. OBJECTIVE. The purpose of this study was to identify patient characteristics associated with patient-reported concerns about adjunct breast cancer screening to facilitate the development of a more effective screening model for women with dense breasts. METHODS. Patients with dense breasts completed surveys between March 2017 and February 2018 regarding factors that might deter them from adjunct screening and about which of three hypothetical screening examinations they might prefer. Additional patient data were extracted from medical records, and socioeconomic data were imputed from federal census data. Logistic regression analyses were conducted to identify associations between patient characteristics and patient attitudes toward adjunct screening. RESULTS. Surveys were completed by 508 women (median age, 59.0 years) with dense breasts. Lower confidence in the sensitivity of mammography of dense breasts was independently associated with lesser concern about adjunct screening examination time (1 divided by adjusted odds ratio [1/AOR], 0.55 [95% CI, 0.34-0.89]), additional imaging that could result (1/AOR, 0.51 [95% CI, 0.31-0.85]), and greater preference for a more sensitive hypothetical screening examination (1/AOR, 1.85 [95% CI, 1.20-2.86]). Concern about examination cost, the most commonly cited deterrent to adjunct screening (66.9%), was independently associated with younger age (1/AOR, 1.45 [95% CI, 1.01-2.08]) but not with imputed socioeconomic variables or other tested variables. Younger age was also associated with lesser concern about pain (1/AOR, 0.69 [95% CI, 0.48-0.99]), additional imaging that could result (1/AOR, 0.48 [95% CI, 0.31-0.76]), and IV contrast administration (1/AOR, 0.56 [95% CI, 0.37-0.83]). CONCLUSION. Younger age and lower confidence in the sensitivity of mammography among women with dense breasts are independently associated with lesser patient concern about common deterrents to adjunct breast cancer screening. Younger age is independently associated with greater concern about the cost of undergoing adjunct breast cancer screening. CLINICAL IMPACT. Concerns about adjunct screening may be reduced by educating patients about the lower sensitivity of mammography of dense breasts and by finding ways to address or mitigate the financial and daily-life impact of adjunct screening, especially for younger patients.