Citations

Abstract Diagnostic testing is an integral component of patient evaluation in the emergency department ( ED ). Emergency clinicians frequently use diagnostic testing to more confidently exclude “worst‐case” diagnoses rather than to determine the most likely etiology for a presenting complaint. Increased utilization of diagnostic testing has not been associated with reductions in disease‐related mortality but has led to increased overall healthcare costs and other unintended consequences (e.g., incidental findings requiring further workup, unnecessary exposure to ionizing radiation or potentially nephrotoxic contrast). Shared decision making ( SDM ) presents an opportunity for clinicians to discuss the benefits and harms associated with diagnostic testing with patients to more closely tailor testing to patient risk. This article introduces the challenges and opportunities associated with incorporating SDM into emergency care by summarizing the conclusions of the diagnostic testing group at the 2016 Academic Emergency Medicine Consensus Conference on SDM . Three primary domains emerged: 1) characteristics of a condition or test appropriate for SDM , 2) critical elements of and potential barriers to SDM discussions on diagnostic testing, and 3) financial aspects of SDM applied to diagnostic testing. The most critical research questions to improve engagement of patients in their acute care diagnostic decisions were determined by consensus.

Abstract Purpose: American Indian (AI) women have lower rates of cancer, but later stages of diagnosis and higher mortality than the US general population. We hypothesized that mediators found within different theoretical models of health behavior differentiate women who adhere to mammographic screening guidelines from those who do not. Such mediators may be useful in the design of interventions to increase adherence. Experimental Procedures: As a community-based participatory research project, tribal health, Indian Health Service representatives, and community representatives worked with the Mayo Clinic team to design a survey derived from 53 interviews with documented adherent and non-adherent women from one Bemidji Area tribe. The survey explored demographic characteristics and six theoretical mediators: Health Literacy, Social Networks, Planned Behavior, Social Norms, Social Support, and Health Beliefs. The survey was mailed to 1200 women with the goal of obtaining 600 responses. Women completing the survey were provided a modest gift card through an impartial third party who not know their names or responses. Responses were analyzed using Fisher's Exact Test or the Chi-square test where appropriate. Summary of Data: To date, we have achieved a 30% response rate (91 self-described non-adherent and 91 self-described adherent breast cancer screening (mammography) respondents). Mediators from the six theoretical models and demographic features do differentiate AI adherent and non-adherent screeners and may be useful for developing interventions to expand screening adherence. Among significant differences were the following with which adherence associates: (1) Demographic (≤0.01): being married, full-time employed, living at greater distances from health care facility, surgical menopause, and having had a breast biopsy. (2) Health Literacy (≤ 0.001): accurate conceptual understanding of annual mammogram, ultrasound, and family history as a risk factor. (To accommodate the survey format, we replaced the usual measures of health literacy (Short Test of Functional Health Literacy and Rapid Estimate of Adult Literacy in Medicine) for understanding of basic breast screening and breast cancer concepts.) (3) Social Networks (≤ 0.03): having mothers who have encouraged good health. (4) Planned Behavior (≤ 0.001): behavioral beliefs, and intentions. a.) Behavioral Beliefs : looking forward to getting my mammogram; getting my scheduled mammogram rather than accepting an invitation to be with friends; viewing my mammogram as very important. b) Intentions: expecting to screen in each of the next five years, and getting my next mammogram when it is scheduled. (5) Social Norms (≤ 0.001): role of family as a positive influence on my life. (6) Social Support (≤ 0.001): availability of family to comfort one in times of worry. (7) Health Beliefs (≤ 0.001): discounting physical limitations and exam discomfort as justifications for avoiding screening and believing there are no justifications for avoiding mammogram; knowing: how to prepare for a mammogram, what happens during the mammogram process, knowing a mammograms importance, knowing what to do if one feels something unusual in the breast, and knowing someone who has been diagnosed with breast cancer. Conclusions: No single theoretical model appears to differentiate adherent from non-adherent screeners, but mediators associated with each of the various models do differentiate these screeners. These differentiating mediators should be considered for how they might guide development of interventions to improve screening behavior. The self-report nature of the survey demands that results be considered as tentative and limited, in any case, to the respondents of this tribe. Citation Format: Wesley O. Petersen, Ann M. Nicometo, Corinna Sabaque. Do demographic characteristics and theoretical mediators of health behavior differentiate American Indian adherent mammographic screeners from non-adherent screeners? [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr B98.

Abstract Purpose: Low breast cancer screening participation and adherence to guidelines is problematic. Our prior work found that on average 18% of women from four tribes adhered to Indian Health Service (IHS) mammographic screening guidelines over five years (study funded by Native American Research Centers for Health (NARCH IV). We sought to identify how adherent (persistent) and non-adherent (sporadic) screeners may differ by demographic and theoretical mediators that have successfully guided interventions in other health disparities populations. As part of planning interventions to increase AI/AN women's persistent screening, we characterized differences in persistent and sporadic screeners' responses to Social Norms and Health Beliefs in the context of social networks. Methods: From 2013-2014, we interviewed 55 recruited women (41 sporadic screeners and 14 persistent screeners) who had been randomly assigned unique identifiers. Data from interviews included demographic characteristics, assessments of health literacy, and social relationships from theoretical perspectives of: Theory of Planned Behavior, Social Support, Social Norms, Health Beliefs, and Social Networks. In this study, we examined areas that distinguished persistent from sporadic screeners—social norms and health beliefs--and we conceptualized the make-up of screeners' social networks to consider members by their generational status relative to the screener. We coded and categorized data; Fisher's Exact Test and Kruskal-Wallis Test were applied as appropriate. Results: We identified three mediators with four significant differences. 1. Social Norms: (A) Persistent screeners were significantly more likely to believe reservation women favored getting an annual mammogram while sporadic screeners were more likely to believe women were against getting annual mammograms (P = 0.03). Responses are consistent with Social Norms theory, but screeners' beliefs about friends' screening participation appear less consistent with the theory. (B) Persistent screeners by a large proportion believed friends obtained fewer mammograms than themselves while sporadic screeners had no prevailing view (P = 0.02). 2. Health Beliefs (susceptibility to breast cancer): (C) While sporadic screeners expressed considerable uncertainty about their susceptibility, persistent screeners expressed no uncertainty (P = 0.02). 3. Social Networks: (D) Examination of the generational membership of screeners' Social Networks showed that sporadic screeners' networks had significantly more members from generations younger than themselves compared to persistent screeners' networks ( P = 0.01). Conclusions: Screeners with younger social networks may in part be influenced to be sporadic screeners because they do not benefit from exposure to more mature and experienced individuals in their social networks. The excess of younger generation members in sporadic screeners' networks may expose them generally to people who do not screen (or have limited screening experience) due to age. This exposure would confirm for them that reservation women generally do not favor screening and would explain their mixed view of friends' screening behavior. The younger membership of sporadic screeners' networks also may explain why this group would express substantial uncertainty about their own susceptibility to breast cancer relative to other women. If the network is not of an age where breast cancer and screening are pertinent topics, screeners may not have a knowledgebase (accurate or not) from which to build their views. We anticipate further testing to ascertain the role of social networks in the views and behaviors of sporadic and persistent screeners before considering any interventions. Citation Format: Corinna Sabaque, Ann M. Nicometo, Robert Vierkant, Wesley O. Petersen. Do generational cohort differences in social networks influence persistent and sporadic screeners' perceptions of breast cancer screening? [abstract]. In: Proceedings of the Seventh AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 9-12, 2014; San Antonio, TX. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2015;24(10 Suppl):Abstract nr B73.

Background The association between resting heart rate and ischemic stroke remains unclear. Aim To examine the association between resting heart rate and ischemic stroke. Methods A total of 24 730 participants (mean age: 64 ± 9·3 years; 59% women; 41% blacks) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study who were free of stroke at the time of enrollment (2003–2007) were included in this analysis. Resting heart rate was determined from baseline electrocardiogram data. Heart rate was examined as a continuous variable per 10 bpm increase and also as a categorical variable using tertiles (<61 bpm, 61 to 70 bpm, and >70 bpm). First-time ischemic stroke events were identified during follow-up and adjudicated by physician review. Results Over a median follow-up of 7·6 years, a total of 646 ischemic strokes occurred. In a Cox regression model adjusted for socio-demographics, cardiovascular risk factors, and potential confounders, each 10 bpm increase in heart rate was associated with a 10% increase in the risk of ischemic stroke (hazard ratio = 1·10, 95% confidence interval = 1·02, 1·18). In the categorical model, an increased risk of ischemic stroke was observed for heart rates in the middle (hazard ratio = 1·29, 95% confidence interval = 1·06, 1·57) and upper (hazard ratio = 1·37, 95% confidence interval = 1·12, 1·67) tertiles compared with the lower tertile. The results were consistent when the analysis was stratified by age, gender, race, exercise habits, hypertension, and coronary heart disease. Conclusion In REGARDS, high resting heart rates were associated with an increased risk of ischemic stroke compared with low heart rates. Further research is needed to examine whether interventions aimed to reduce heart rate decrease stroke risk.

Abstract Purpose: The ultimate purpose of these studies and the proposed study is to use community-based interventions to increase overall use of mammographic services and to increase adherence with tribes' screening guidelines. Our immediate purposes by study: For Study 1, the purpose was to understand the risk and screening adherence profiles of women from four Bemidji Area tribes; for Study 2, the purpose was to ascertain whether non-adherent screeners and adherent screeners could be differentiated on any of six theoretical mediators of health behavior; in the proposed Study 3, the purpose is to use theoretical mediators that distinguish adherent and non-adherent screeners to design and test interventions to increase screening participation and adherence with tribes' screening guidelines. Experimental Procedures: All studies were designed to reflect principles of community-based participatory research. Study 1 was a chart review study that involved four tribes. Each tribe desired different levels of involvement that ranged from close control of all elements of the chart review to assigning the investigators to do the retrieval, review, and replacement of the medical records, and all elements of the analysis. All tribes managed the unique identifiers book which was a list of all women who were 40 years and older who had no prior history of breast cancer. Investigators retained only the unique identifiers and each individual's associated screening history and risk factors. Tribes received aggregated results from the study, but did not receive information on individual women's screening adherence or risk factors. Study 2, is guided by a community advisory committee that meets quarterly and involves one tribe. The study employs one tribal member and one tribal subcontractor, and has supported one student participant. The study team interviewed 55 women and used the results to develop a survey that is being administered to approximately 1400 women who are age 40 and older. Both the interviews and the survey are designed to examine the influence of six theoretical mediators (social norms, social networks, social support, health literacy, health beliefs, and theory of planned behavior) and demographic features on the behaviors of adherent and non-adherent mammographic screeners. Study 3 will involve four tribes and is designed to use the findings from Study 2 to develop and test interventions based on influential screening mediators. Each tribe has identified members who will serve on tribal research and advising units that will determine the specific interventions and receive training and mentoring to design and administer the interventions. The proposed interventions will be based on a case-control intervention design. Unpublished Data to Date: STUDY 1 showed that there were few significant differences (p = 0.05) based between adherent and non-adherent screeners based on risk factors. STUDY 2 interview results have shown some significant differences (p= 0.05) between adherent and non-adherent screeners related to self-efficacy (health beliefs model), perceived community support for annual mammograms (social norms), presence of 3rd degree relatives in social networks. There were no significant differences associated with health literacy, social support, and the theory of planned behavior. Conclusions: Findings in Study 2 show that potential differences between adherent and non-adherent screeners justify continuation to the survey phase. Should results of the survey demonstrate significant differences in the influential mediators of adherent compared to non-adherent screeners, follow-up with the intervention study (Study 3) will be an important next step. Citation Format: Wesley Petersen, Ann Nicometo, Robert Vierkant. Advancing toward interventions: Summary of two projects and a proposed intervention to improve mammography participation in Bemidji area native women. [abstract]. In: Proceedings of the Sixth AACR Conference: The Science of Cancer Health Disparities; Dec 6–9, 2013; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2014;23(11 Suppl):Abstract nr B91. doi:10.1158/1538-7755.DISP13-B91

Heart failure with preserved ejection fraction (HFpEF) is a major cause of morbidity and mortality. Exercise training is an established adjuvant therapy in heart failure; however, the effects of high-intensity interval training (HIIT) in HFpEF are unknown. We compared the effects of HIIT vs. moderate-intensity aerobic continuous training (MI-ACT) on peak oxygen uptake (V̇o2peak), left ventricular diastolic dysfunction, and endothelial function in patients with HFpEF. Nineteen patients with HFpEF (age 70 ± 8.3 yr) were randomized to either HIIT (4 × 4 min at 85-90% peak heart rate, with 3 min active recovery) or MI-ACT (30 min at 70% peak heart rate). Fifteen patients completed exercise training (HIIT: n = 9; MI-ACT: n = 6). Patients trained 3 days/wk for 4 wk. Before and after training patients underwent a treadmill test for V̇o2peak determination, 2D-echocardiography for assessment of left ventricular diastolic dysfunction, and brachial artery flow-mediated dilation (FMD) for assessment of endothelial function. HIIT improved V̇o2peak (pre = 19.2 ± 5.2 ml·kg−1·min−1; post = 21.0 ± 5.2 ml·kg−1·min−1; P = 0.04) and left ventricular diastolic dysfunction grade (pre = 2.1 ± 0.3; post = 1.3 ± 0.7; P = 0.02), but FMD was unchanged (pre = 6.9 ± 3.7%; post = 7.0 ± 4.2%). No changes were observed following MI-ACT. A trend for reduced left atrial volume index was observed following HIIT compared with MI-ACT (−3.3 ± 6.6 vs. +5.8 ± 10.7 ml/m2; P = 0.06). In HFpEF patients 4 wk of HIIT significantly improved V̇o2peak and left ventricular diastolic dysfunction. HIIT may provide a more robust stimulus than MI-ACT for early exercise training adaptations in HFpEF.

Abstract Purpose: The study purpose is to learn whether theoretical mediators (Planned Behavior/Reasoned Action, Social Norms, Social Support, Social Networks, Health Beliefs, Health Literacy) can be used to distinguished American Indian women who are adherent with Indian Health Service (IHS) mammographic screening guidelines from those who are not adherent with these guidelines. Women in the Bemidji Area of the Indian Health Service have mammographic screening rates much lower than the IHS average for all IHS areas. Bemidji Area women are diagnosed at later stage and have higher mortality than is seen in the overall IHS. Our ultimate goal is to develop interventions to increase adherence among non-adherent screeners. Experimental procedures: In phase one, we have identified 64 women for interviews. Based on women's risk factors and screening histories, women were assigned to one of four groups: high risk/adherent, low risk/adherent, high risk/non-adherent, and low risk/non-adherent. Our goal is to have 16 women in each group. Currently, we have interviewed and conducted preliminary analysis of 19 women (4 higher risk/ adherent; 7 lower risk/non-adherent, 4 higher risk, non-adherent, 4 lower risk/adherent). Interview responses have been coded for themes, then categorized and descriptively quantified. Preliminary results: Adherent and non-adherent mammographic screeners can be differentiated by: 1) Theory of Planned Behavior (personal attitudes toward screening; perceived attitudes of family/friends and tribe toward annual screening; and past screening behavior). 2) Social Norms (perceptions of general health of respondents, family/friends, and tribe; health behaviors; barriers to screening; influences on attitudes and behaviors; healthy behaviors; health values; perceptions of common cancers among tribal members and women; the mammography experience; and influential members within social networks). 3) Social Support (emotional support for worry and fear and companionship. 4) Health Beliefs (susceptibility and severity of cancer). In other regards, these mediators and Health Literacy do not distinguish between adherent and non-adherent screeners. Conclusions: Theoretical mediators may be a useful way to distinguish between adherent and non-adherent screeners and point to potential avenues to intervene in the non-adherent population of American Indian women. Citation Format: Wesley Petersen, Ann M. Nicometo. Do theoretical mediators differentiate adherent and nonadherent American Indian mammographic screeners? Preliminary results from one tribe. [abstract]. In: Proceedings of the Fifth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2012 Oct 27-30; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(10 Suppl):Abstract nr A32.