Optimism may moderate screening mammogram frequency in Medicare: A longitudinal study

Higher trait optimism and/or lower cynical hostility are associated with healthier behaviors and lower risk of morbidity and mortality, yet their association with health care utilization has been understudied. Whether these psychological attitudes are associated with breast cancer screening behavior is unknown. To assess the association of optimism and cynical hostility with screening mammography in older women and whether sociodemographic factors acted as mediators of these relationships, we used Women\u27s Health Initiative (WHI) observational cohort survey data linked to Medicare claims. The sample includes WHI participants without history of breast cancer who were enrolled in Medicare Parts A and B for \u3e /=2 years from 2005-2010, and who completed WHI baseline attitudinal questionnaires (n = 48,291). We used survival modeling to examine whether screening frequency varied by psychological attitudes (measured at study baseline) after adjusting for sociodemographic characteristics, health conditions, and healthcare-related variables. Psychological attitudes included trait optimism (Life Orientation Test-Revised) and cynical hostility (Cook Medley subscale), which were self-reported at study baseline. Sociodemographic, health conditions, and healthcare variables were self-reported at baseline and updated through 2005 as available. Contrary to our hypotheses, repeated events survival models showed that women with the lowest optimism scores (i.e., more pessimistic tendencies) received 5% more frequent screenings after complete covariate adjustment (p \u3c .01) compared to the most optimistic group, and showed no association between cynical hostility and frequency of screening mammograms. Sociodemographic factors did not appear to mediate the relationship between optimism and screenings. However, higher levels of education and higher levels of income were associated with more frequent screenings (both p \u3c .01). We also found that results for optimism were primarily driven by women who were aged 75 or older after January 2009, when changes to clinical guidelines lead to uncertainty about risks and benefits of screening in this age group. The study demonstrated that lower optimism, higher education, and higher income were all associated with more frequent screening mammograms in this sample after repeated events survival modeling and covariate adjustment

Understanding the Role of Past Health Care Discrimination in Help-Seeking and Shared Decision-Making for Depression Treatment Preferences

As a part of a larger, mixed-methods research study, we conducted semi-structured interviews with 21 adults with depressive symptoms to understand the role that past health care discrimination plays in shaping help-seeking for depression treatment and receiving preferred treatment modalities. We recruited to achieve heterogeneity of racial/ethnic backgrounds and history of health care discrimination in our participant sample. Participants were Hispanic/Latino (n = 4), non-Hispanic/Latino Black (n = 8), or non-Hispanic/Latino White (n = 9). Twelve reported health care discrimination due to race/ethnicity, language, perceived social class, and/or mental health diagnosis. Health care discrimination exacerbated barriers to initiating and continuing depression treatment among patients from diverse backgrounds or with stigmatized mental health conditions. Treatment preferences emerged as fluid and shaped by shared decisions made within a trustworthy patient–provider relationship. However, patients who had experienced health care discrimination faced greater challenges to forming trusting relationships with providers and thus engaging in shared decision-making processes

Barriers And Facilitators To Community-Based Participatory Mental Health Care Research For Racial And Ethnic Minorities

People with serious mental illnesses, particularly members of racial and ethnic minority groups, are rarely included in prioritizing research topics or developing the tools and measures important for improving their care. Community-based participatory research holds promise toward reducing mental health disparities. However, initiating research partnerships with community stakeholders is challenging and does not always lead to sustainable community health improvements. Using lessons learned from a project to improve understanding of patients\u27 preferences and discrimination in depression and diabetes treatment, we describe barriers and facilitators to initiating a meaningful partnership with disenfranchised groups. Barriers fell within four domains: trepidation of community stakeholders, complex research methods, uncertainty among academic partners, and unclear partnership decision-making protocols. Primary facilitators included the meaningfulness of the research topic to the community, the presence of a well-established community-based organization, academic financial investment, co-learning activities, and flexibility. Successful initiation of these partnerships holds significant potential for addressing health care disparities

Barriers And Facilitators To Community-Based Participatory Mental Health Care Research For Racial And Ethnic Minorities

People with serious mental illnesses, particularly members of racial and ethnic minority groups, are rarely included in prioritizing research topics or developing the tools and measures important for improving their care. Community-based participatory research holds promise toward reducing mental health disparities. However, initiating research partnerships with community stakeholders is challenging and does not always lead to sustainable community health improvements. Using lessons learned from a project to improve understanding of patients\u27 preferences and discrimination in depression and diabetes treatment, we describe barriers and facilitators to initiating a meaningful partnership with disenfranchised groups. Barriers fell within four domains: trepidation of community stakeholders, complex research methods, uncertainty among academic partners, and unclear partnership decision-making protocols. Primary facilitators included the meaningfulness of the research topic to the community, the presence of a well-established community-based organization, academic financial investment, co-learning activities, and flexibility. Successful initiation of these partnerships holds significant potential for addressing health care disparities

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, “how do you feel today?” We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible

Predictors of Continued Smoking and Interest in Cessation Among Older Female Smokers

OBJECTIVES: Older female smokers are highly vulnerable, yet little is known about their attitudes, beliefs, and behaviors regarding smoking cessation. METHODS: Southeast region Women\u27s Health Initiative participants identified as smokers on at least one prior assessment were surveyed in 2012 regarding current tobacco use. RESULTS: Most of these current and former smokers ( N = 409, 63% response) were non-Hispanic White (81.7%) and had some college (80%), with mean age of 75.1 years. Current smoking was confirmed by 56%, and while 61% of these reported a past-year quit attempt, less than half used quit aids. Of current smokers, 57.5% intended to quit within 6 months (26.6% within 30 days), and 68% were interested in joining a cessation study. CONCLUSIONS: Older female smokers were highly motivated to quit, yet profoundly underutilized proven quit aids. Results support high acceptability of cessation interventions for this undertreated population

Optimism predicts sustained vigorous physical activity in postmenopausal women☆

Optimism and cynical hostility are associated with health behaviors and health outcomes, including morbidity and mortality. This analysis assesses their association with longitudinal vigorous physical activity (PA) in postmenopausal women of the Women's Health Initiative (WHI). Subjects include 73,485 women nationwide without history of cancer or cardiovascular disease (CVD), and no missing baseline optimism, cynical hostility, or PA data. The Life Orientation Test-Revised Scale measured optimism. A Cook Medley questionnaire subscale measured cynical hostility. Scale scores were divided into quartiles. Vigorous PA three times or more per week was assessed via self-report at study baseline (1994–1998) and through follow-up year 6. Descriptive analysis mapped lifetime trajectories of vigorous PA (recalled at ages 18, 25, 50; prospectively assessed at baseline, and 3 and 6 years later). Hierarchical generalized linear mixed models examined the prospective association between optimism, cynical hostility, and vigorous PA over 6 years. Models adjusted for baseline sociodemographic variables, psychosocial characteristics, and health conditions and behaviors. Vigorous PA rates were highest for most optimistic women, but fell for all women by approximately 60% between age 50 and study baseline. In adjusted models from baseline through year 6, most vs. least optimistic women were 15% more likely to exercise vigorously (p < 0.001). Cynical hostility was not associated with lower odds of longitudinal vigorous PA after adjustment. Results did not differ by race/ethnicity or socioeconomic status. Higher optimism is associated with maintaining vigorous PA over time in post-menopausal women, and may protect women's health over the lifespan