Sabaque, Corinna

Abstract RATIONALE: Community engagement is critical in the conduct of research seeking to address healthcare disparities. Indigenous peoples (American Indians and Alaskan Natives) have the highest prevalence of cigarette smoking and commercial tobacco use among all racial and ethnic groups in the United States. Including Indigenous people as partners in the research process is critical for moving interventions to improve health forward. Engagement in the research process should be considerate of the time, travel, and ease of use for research participants and advisors. Based on feedback from community members, we launched social media pages with deidentified study updates for past participants and any interested community members to receive updates on a prospective mixed methods study designed to inform a pilot smoking cessation intervention. METHODS: Facebook and Instagram were the social media platforms identified for this study. Prior themes identified from the principal investigator's previous work and results of current study informed the development of posts. Institutional Review Board approval was granted for this community engagement method. There were no recruitment activities conducted on these pages, and all information was presented in a deidentified, thematic fashion to protect research participants. There were two social media moderators monitoring interaction with social media pages. An Indigenous artist created accompanying images to enhance engagement with posts. The content covered discussions on smoking cessation identified from the primary study along with profiles highlighting team members and allies. Posts were made at non-fixed, variable intervals from May to September 2024, and were checked bi-weekly to ensure respectful conduct. RESULTS: Between May and September 2024, ten posts were shared, including three highlighting Indigenous team members and allies and seven focused on smoking cessation discussions. Instagram had more engagement when compared to Facebook. Posts that featured Indigenous team members and allies received higher interaction when compared to those on smoking cessation alone, contributing to Instagram's overall success. CONCLUSION: Instagram was the more effective platform demonstrating higher engagement and follower growth when compared to Facebook. Of note, on both platforms, posts that highlighted team members and allies resonated well, and generated the most interaction. This not only emphasizes social media as an effective tool to engage underserved populations in the research process, but also suggests that emphasizing representation and ally-ship among research teams is impactful when engaging Indigenous audiences. This outcome exemplifies the importance of integrating cultural relevance in public health messaging when discussing thoughts and attitudes surrounding smoking cessation.

Abstract Introduction Alaska Native and American Indian (ANAI) peoples in Alaska currently experience a disproportionate burden of morbidity and mortality from tobacco cigarette use. Financial incentives for smoking cessation are evidence-based, but a family-level incentive structure has not been evaluated. We used a community-based participatory research and qualitative approach to culturally adapt a smoking cessation intervention with ANAI families. Aims and Methods We conducted individual, semistructured telephone interviews with 12 ANAI adults who smoke, 12 adult family members, and 13 Alaska Tribal Health System stakeholders statewide between November 2022 and March 2023. Through content analysis, we explored intervention receptivity, incentive preferences, culturally aligned recruitment and intervention messaging, and future implementation needs. Results Participants were receptive to the intervention. Involving a family member was viewed as novel and aligned with ANAI cultural values of commitment to community and familial interdependence. Major themes included choosing a family member who is supportive and understanding, keeping materials positive and encouraging, and offering cash and noncash incentives for family members to choose (eg, fuel, groceries, activities). Participants indicated that messaging should emphasize family collaboration and that cessation resources and support tips should be provided. Stakeholders also reinforced that program materials should encourage the use of other existing evidence-based cessation therapies (eg, nicotine replacement, counseling). Conclusions Adaptations, grounded in ANAI cultural strengths, were made to the intervention and recruitment materials based on participant feedback. Next steps include a beta-test for feasibility and a randomized controlled trial for efficacy. Implications This is the first study to design and adapt a financial incentives intervention promoting smoking cessation among ANAI peoples and the first to involve the family system. Feedback from this formative work was used to develop a meaningful family-level incentive structure with ANAI people who smoke and family members and ensure intervention messaging is supportive and culturally aligned. The results provide qualitative knowledge that can inform future family-based interventions with ANAI communities, including our planned randomized controlled trial of the intervention.

Purpose To develop a culturally-tailored American Indian/Alaska Native (AI/AN) women’s Facebook group supporting opioid recovery as an adjunct to medication. Design Community-based, qualitative approach. Setting Minnesota, U.S. Participants AI/AN women in opioid recovery, interested parties, and a Community Advisory Committee (CAC) of AI/AN women with lived experience, health care providers, and community members. Intervention We developed evidence-based content focusing on stress/trauma and substance use, mindfulness, responding to triggers, and supportive community resources. Additional content centered on AI/AN culture was also selected. Method Interviews were conducted by two women, then transcribed and coded using content analysis with NVivo software. Results were presented to CAC for further content refinement. Results CAC members (n = 10) guided study methods, intervention development, and dissemination activities. 14 AI/AN women (mean age 36.4 years; mean 6.7 months opioid abstinence) and 12 interested parties (7 men, 5 women) were receptive to an AI/AN gender-specific Facebook group, preferring content with AI/AN people and/or text resonating with AI/AN culture (e.g., Native traditions, family, personal stories, historical trauma). Recommendations included (1) protect confidentiality, (2) retain positivity, (3) incorporate resources and exercises to build coping skills, and (4) moderators should be authentic and relatable to build trust. Conclusions Our approach provides a model for developing culturally tailored, appealing and effective social media interventions to support AI/AN women in recovery from opioid use disorder.

Abstract Purpose: To identify within demographic features and theoretical models of health behavior, the variables demonstrating differences in the behaviors, beliefs, attitudes, associations, and capacities of sporadic (non-adherent) and persistent (adherent) mammographic screeners for the purpose of guiding future interventions to improve mammographic screening adherence. Procedures: A survey was designed and mailed to all screening-age women of one Bemidji Area tribe. The survey incorporated demographic questions, and questions designed to inform about salient features of respondents' health literacy, social networks, social support, social norms, planned behavior, and health beliefs. Prior to mailing, each survey was assigned a unique identifier and sealed in an envelope. Surveys were mailed to 1,554 women in manner that ensured anonymity of the women's responses and no potential for investigators to discern women's identity via their mailing addresses or other information. Self-report data from returned surveys was used to determine women's mammographic screening status as adherent with local screening guidelines (annual mammogram beginning at age 40 for women at average risk) or non-adherent. Responses for all demographic and theoretical models of health behavior were appropriately categorized and analyzed utilizing global tests of hypotheses. Inherent multicollinearity issues required a two-step process of factor analysis followed by a multivariate analysis of variance. Where themes (e.g., demographics, health literacy, etc.) and factors within themes were significant, a univariate analysis was conducted to ascertain specific questions and responses that significantly differentiated the non-adherent from adherent screeners. Summary of data: We found no significant differences in non-adherent and adherent screeners' responses to questions related to social networks or social norms. We did find that responses from these two groups did differ on demographic features as well as on aspects of health literacy, social support, planned behavior and health beliefs. o Demographic differences involved biopsy histories and employment status. o Differentiating health literacy variables involved recognition of certain terms (e.g., annual) and understanding concepts such as ultrasound and biopsy. o Social support variables that distinguished non-adherent from adherent screeners involved sources of information support, characteristics of providers of emotional support, and sources of emotional support (e.g., solitary or communal). o Planned behavior variables illuminating differences between the screening groups involved (in additions to self-reported screening behaviors): attitudes toward the behavior of obtaining mammograms, intentions to engage in screening, and control beliefs. o Health Beliefs variables distinguishing the two sets of screeners comprised responses to questions about perceived barriers, self-efficacy, and cues to action. Conclusions: Study findings point to opportunities for tribal health and Indian Health Service (IHS) providers and staff to intervene in two broad areas. 1. Some findings associated with social support, planned behavior, and health beliefs can be used to design patient intake forms to alert tribal health and IHS providers to current and potentially non-adherent. 2. Using this information, providers can design interventions to move non-adherent and potentially non-adherent women toward persistent mammographic screening participation. An intervention study will be funded by the Minnesota Department of Health through its Eliminating Health Disparities Initiative. Citation Format: Wesley O. Petersen, Ann M. Nicometo, Robert A. Vierkant, Corinna Sabaque. Elements of theoretical models of health behavior: Planning for breast cancer screening interventions in an American Indian tribe. [abstract]. In: Proceedings of the Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2016 Sep 25-28; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(2 Suppl):Abstract nr B83.

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.