Your world, your health -- Communication 101 : what's health got to do with it? -- Getting it right : words, numbers, and meaning -- Health communication practice strategies and theories -- Creating meaningful health communication -- Media and communication channel selection and planning : the plot thickens -- Planning health communication interventions -- Implementation and evaluation -- Communication in the healthcare setting -- School health -- Workplace health
The contemporary healthcare field operates according to an autonomy model of medical decision-making. This model stipulates that patients have the right to make informed choices about their care. Shared decision making (SDM) has arisen as the dominant approach for clinicians and patients to collaborate in care planning and implementation. This approach relies heavily on normative (rational) decision-making processes, and often leaves out descriptive influences that stem from personal, social, and environmental factors and explain how decisions are typically made in the real world. The lack of attention to descriptive decision-making limits SDM in many ways. A multi-level approach to expanding the practice of SDM is proposed, including tailoring the decision encounter based on patients' social, cultural, and environmental context; using relational elements strategically as part of the SDM process; and modifying incentive models to promote greater attention to descriptive impacts on decision-making. These modifications are expected to make SDM, and thus patient care, more inclusive, effective, and acceptable to diverse patients.
In: Journal of risk research: the official journal of the Society for Risk Analysis Europe and the Society for Risk Analysis Japan, Band 22, Heft 10, S. 1309-1322
Publisher's PDF ; Background: Research suggests that men are less likely to seek help for depression, substance abuse, and stressful life events due to negative perceptions of asking for and receiving help. This may be exacerbated in male military cadets who exhibit higher levels of gender role conflict because of military culture. Methods: This exploratory study examined the perceptions of 78 male military cadets toward help-seeking behaviors. Cadets completed the 31-item Barriers to Help Seeking Scale (BHSS) and a component factor analysis was used to generate five composite variables and compare to validated factors. Perceptual mapping and vector modeling, which produce 3-dimensional models of a group's perceptions, were then used to model how they conceptualize help-seeking. Results: Factor analysis showed slightly different groupings than the BHSS, perhaps attributed to different characteristics of respondents, who are situated in a military school compared to general university males. Perceptual maps show that cadets perceive trust of doctors closest to them and help-seeking farthest, supporting the concept that these males have rigid beliefs about having control and its relationship to health seeking. Differences were seen when comparing maps of White and non-White cadets. White cadets positioned themselves far away from all variables, while non-White cadets were closest to "emotional control". Conclusion: To move these cadets toward help-seeking, vector modeling suggests that interventions should focus on their general trust of doctors, accepting lack of control, and decreasing feelings of weakness when asking for help. For non-White cadets a focus on self-reliance may also need to be emphasized. Use of these unique methods resulted in articulation of specific barriers that if addressed early, may have lasting effects on help-seeking behavior as these young men become adults. Future studies are needed to Developmentelop and test specific interventions to promote help-seeking among military cadets. ; Department of Behavioral Health and Nutrition, University of Delaware
Tumor genomic profiling (TGP) is used in oncology practice to optimize cancer treatment and improve survival rates. However, TGP is underutilized among Black and African American (AA) patients, creating potential disparities in cancer treatment outcomes. Cost, accuracy, and privacy are barriers to genetic testing, but medical mistrust (MM) may also influence how Black and AA cancer patients perceive TGP. From December 2019 to February 2020, 112 Black and AA adults from two outpatient oncology sites in Philadelphia, PA without a known history of having TGP testing conducted completed a cross-sectional survey. Items queried included sociodemographic characteristics, clinical factors, patient–oncologist relationship quality, medical mistrust, and concerns about TGP. A k-means cluster analysis revealed two distinct psychographic clusters: high (MM-H) versus low (MM-L) medical mistrust. Clusters were not associated with any sociodemographic or clinical factors, except for age (MM-H patients older than MM-L patients, p = 0.006). Eleven TGP concerns were assessed; MM-H patients expressed greater concerns than MM-L patients, including distrust of the government, insurance carriers, and pharmaceutical companies. TGP concerns varied significantly based on level of medical mistrust, irrespective of sociodemographic characteristics. Targeted communications addressing TGP concerns may mitigate disparities in TGP uptake among those with medical mistrust.
Potential terror events such as "dirty bombs" could have significant public health effects, but little is known about how low-literacy populations perceive dirty bombs, their trust in public health or government officials to provide credible information, and their willingness to comply with recommended actions. We surveyed 50 low-literacy adults from a large urban center; they were mostly members of ethnic minority groups. We used unique social marketing methods—perceptual mapping and vector message modeling—to create 3-dimensional models that reflected respondents' knowledge of what a dirty bomb is, their intended behaviors should one occur, and their concerns about complying with "shelter in place" recommendations. To further understand individual variations in this at-risk group, a k-means cluster analysis was used to identify 3 distinct segments, differing on trust of local authorities and their emergency response, willingness to comply with emergency directives, and trust of information sources. Message strategies targeting each segment were developed to focus on concepts important to moving the groups toward a "shelter in place" behavior, revealing key differences in how best to communicate with risk communication. We discuss how these methods helped elucidate specific differences in each segment's understanding of and likely response during the event of a "dirty bomb" and how these techniques can be used to create more effective message strategies targeted to these groups.