Rutten, Lila J. Finney

Abstract Introduction and Background: Mammography is thought to have an overall sensitivity of 87% according to the Breast Cancer Screening Consortium (BCSC). However, evidence from more recent studies indicate that a significant proportion of patients come into care with breast cancer symptoms, which trigger diagnosis rather than regular screening mammography. Women with breast cancer symptoms often have advanced cancer at diagnosis. This implies that previous negative mammograms are false negatives, and that screening mammography alone was insufficient for this population. Such populations include women with dense breasts, for whom mammography has a known 10-29% decrease in regardless of stage at diagnosis, and women who do not use screening mammography regularly or at all. Specific Experimental Aims: In a US population-based cohort of women who have developed first time breast cancer, we will 1) determine the variance in mode of detection, and 2) determine if mode of detection varied by breast density or by stage at diagnosis. Methods and Design: We identified a cohort of 386 women with a diagnosis of first time breast cancer (ICD codes) within a 7 county, 98.5% coverage population. We randomly sampled 30 women and performed chart review. The data were collated in REDCap, and reported with descriptive statistics. Results: In our pilot random sample (n=30), 33% (10/30) of women had DCIS, 30% (9/30) had non-advanced cancer, and 37% (11/30) had advanced cancer. For women with DCIS, 90% (9/10) were found with screening mammography, compared to only 44% (4/9) of non-advanced, and 45% (5/11) advanced cancers. Approximately 43% (13/30) of women in this sample had dense breasts. Interestingly, 61.5% (8/13) women with dense breasts, and 62.5% (10/16) of women with non-dense breasts had screening mammography as the mode of detection. Finally, among women with dense breasts, 46.1% (6/13) had DCIS, 30.8% (4/13) had non-advanced cancer, and 23.1% (3/13) had advanced cancer, while for women with non-dense breasts, 25% (4/16) had DCIS, 31.2% (5/16) had non-advanced cancer, and 43.8% (7/16) had advanced cancer. Conclusions and Future Directions: These pilot data suggest that our population reflects both the breast density rate (47%, BCSC) and the rate of advanced cancers (36%, SEER) found in the national population, and that there is a strong likelihood that regardless of breast density, but especially for non-DCIS, screening mammography alone may not be sufficient detect breast cancer (44-45%) compared to the BCSC statistic of 87%. This may be due to misattribution of mode of detection for breast cancer, especially in symptomatic later stages of disease. Once the full study is completed, future research regarding outcomes (mortality and otherwise) and stage at diagnosis for patients who use additional screening methods may be valuable. In addition, for women with lower access to, or who choose not to use screening mammography, future research regarding revisiting the use of SBE and CBE as well as other modalities may also be valuable. Citation Format: Susanna N Basappa, Lila JF Rutten. Variance in mode of detection for breast cancer by breast density and stage at diagnosis: A pilot study [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C099.

Objective To identify the relationships between county-level area deprivation and patterns of both opioid prescriptions and drug-poisoning mortality. Design, setting and participants For this retrospective cross-sectional study, we used the IQVIA Xponent data to capture opioid prescriptions and Centres for Disease Control and Prevention National Vital Statistics System to assess drug-poisoning mortality. The Area Deprivation Index (ADI) is a composite measure of social determinants of health comprised of 17 US census indicators, spanning four socioeconomic domains. For all US counties with available opioid prescription (2712 counties) and drug-poisoning mortality (3133 counties) data between 2012 and 2017, we used negative binomial regression to examine the association between quintiles of county-level ADI and the rates of opioid prescriptions and drug-poisoning mortality adjusted for year, age, race and sex. Primary outcome measures County-level opioid prescription fills and drug-poisoning mortality. Results Between 2012 and 2017, overall rates of opioid prescriptions decreased from 96.6 to 72.2 per 100 people, while the rates of drug-poisoning mortality increased from 14.3 to 22.8 per 100 000 people. Opioid prescription and drug-poisoning mortality rates were consistently higher with greater levels of deprivation. The risk of filling an opioid prescription was 72% higher, and the risk of drug-poisoning mortality was 36% higher, for most deprived compared with the least deprived counties (both p<0.001). Discussion Counties with greater area-level deprivation have higher rates of filled opioid prescriptions and drug-poisoning mortality. Although opioid prescription rates declined across all ADI quintiles, the rates of drug-poisoning mortality continued to rise proportionately in each ADI quintile. This underscores the need for individualised and targeted interventions that consider the deprivation of communities where people live.

Introduction Population-level screening has been shown to reduce the incidence and mortality of colorectal cancer (CRC). Unfortunately, adherence to screening recommendations among eligible US adults remains below national goals. A relatively new non-invasive screening modality, the Food and Drug Administration–approved multi-target stool DNA (mt-sDNA) assay (commercialised as Cologuard), which combines the detection of haemoglobin and DNA abnormalities, has been completed by more than 3 million individuals. Given mt-sDNA’s recent availability, the effectiveness of mt-sDNA screening with respect to CRC incidence and mortality reduction has not yet been established. Methods and analysis Through an academic–industry collaboration, a prospective cohort study (Voyage) was designed with an initial enrolment target of 150 000 individuals with mt-sDNA ordered by their healthcare provider for CRC screening. Consented participants will be asked to complete a baseline questionnaire to collect sociodemographic and health information. Additional questionnaires will be provided after 1 year, and every 3 years thereafter, to collect data regarding CRC screening follow-up in order to estimate rates of CRC incidence and other health outcomes. Linkage to the National Death Index will be used to estimate mortality rates. Ethics and dissemination The Voyage study will be conducted in accordance with international guidelines and local regulatory requirements and laws. Data will be stored and retained at Mayo Clinic. Only limited data elements required for research purposes will be transmitted between Mayo Clinic and Exact Sciences Laboratories. Results of the Voyage study will be disseminated through scientific presentations and publications. Trial registration number NCT04124406.

Objective: During the past decade, the availability of health information online has increased dramatically. We assessed progress toward the Healthy People 2020 (HP2020) health communication and health information technology objective of increasing the proportion of health information seekers who easily access health information online. Methods: We used data from 4 administrations of the Health Information National Trends Survey (HINTS 2008-2017) (N = 18 103). We conducted multivariable logistic regression analysis to evaluate trends over time in experiences with accessing health information and to examine differences by sociodemographic variables (sex, age, race/ethnicity, education, income, metropolitan status) separately for those who used the internet (vs other information sources) during their most recent search for health information. Results: Among US adults who looked for health information and used the internet for their most recent search, the percentage who reported accessing health information without frustration was stable during the study period (from 37.2% in 2008 to 38.5% in 2017). Accessing information online without frustration was significantly and independently associated with age 35-49 (vs age 18-34) (odds ratio [OR] = 1.34; 95% confidence interval [CI], 1.03 -1.73), non-Hispanic black (vs non-Hispanic white) race/ethnicity (OR = 2.15; 95% CI, 1.55-2.97), and annual household income <$20 000 (vs >$75 000) (OR = 0.66; 95% CI, 0.47-0.93). The percentage of adults who used an information source other than the internet and reported accessing health information online without frustration ranged from 31.3% in 2008 to 42.7% in 2017. Survey year 2017 (vs 2008) (OR = 1.61; 95% CI, 1.09-2.35) and high school graduate education (vs college graduate) (OR = 0.69; 95% CI, 0.49-0.97) were significantly and independently associated with accessing health information without frustration from sources other than the internet. Conclusions: The percentage of online health information seekers reporting easily accessing health information did not meet the HP2020 objective. Continued efforts are needed to enable easy access to online health information among diverse populations.

Objective: Much has been written about the patients’ perspective concerning weight management in health care. The purpose of this survey study was to assess perspectives of primary care providers (PCPs) and nurses toward patient weight management and identify possible areas of growth. Patients and Methods: We emailed a weight management–focused survey to 674 eligible participants (437 [64.8%] nurses and 237 [35.2%] PCPs) located in 5 outpatient primary care clinics. The survey focused on opportunities, practices, knowledge, confidence, attitudes, and beliefs. A total of 219 surveys were returned (137 [62.6%] from nurses and 82 [34.4%] from PCPs). Results: Among 219 responders, 85.8% were female and 93.6% were white non-Hispanic. In this study, PCPs and nurses believed obesity to be a major health problem. While PCPs felt more equipped than nurses to address weight management ( P < .001) and reported receiving more training than nurses (50.0% vs 17.6%, respectively), both felt the need for more training on obesity (73.8% and 79.4%, respectively). Although, PCPs also spent more patient contact time providing weight management services versus nurses ( P < .001), the opportunity/practices score was lower for PCPs than nurses (−0.35 ± 0.44 vs −0.17 ± 0.41, P < .001) with PCPs more likely to say they lacked the time to discuss weight and they worried it would cause a poor patient-PCP relationship. The knowledge/confidence score also differed significantly between the groups, with nurses feeling less equipped to deal with weight management issues than PCPs (−0.42 ± 0.43 vs −0.03 ± 0.55, P < .001). Neither group seemed very confident, with those in the PCP group only answering with an average score of neutral. Conclusion: By asking nurses and PCP general questions about experiences, attitudes, knowledge, and opinions concerning weight management in clinical care, this survey has identified areas for growth in obesity management. Both PCPs and nurses would benefit from additional educational training on weight management.

Objective: To understand the interaction of multimorbidity and functional limitations in determining health-care utilization and survival in older adults. Methods: Olmsted County, Minnesota, residents aged 60–89 years in 2005 were categorized into four cohorts based on the presence or absence of multimorbidity (≥3 chronic conditions from a list of 18) and functional limitations (≥1 limitation in an activity of daily living from a list of 9), and were followed through December 31, 2016. Andersen–Gill and Cox regression estimated hazard ratios (HRs) for emergency department (ED) visits, hospitalizations, and death using persons with neither multimorbidity nor functional limitations as the reference (interaction analyses). Results: Among 13,145 persons, 34% had neither multimorbidity nor functional limitations, 44% had multimorbidity only, 4% had functional limitations only, and 18% had both. Over a median follow-up of 11 years, 5906 ED visits, 2654 hospitalizations, and 4559 deaths occurred. Synergistic interactions on an additive scale of multimorbidity and functional limitations were observed for all outcomes; however, the magnitude of the interactions decreased with advancing age. The HR (95% confidence interval) for death among persons with both multimorbidity and functional limitations was 5.34 (4.40–6.47) at age 60–69, 4.16 (3.59–4.83) at age 70–79, and 2.86 (2.45–3.35) at age 80–89 years. Conclusion: The risk of ED visits, hospitalizations, and death among persons with both multimorbidity and functional limitations is greater than additive. The magnitude of the interaction was strongest for the youngest age group, highlighting the importance of interventions to prevent and effectively manage multimorbidity and functional limitations early in life.