The Relationship Between Race, Patient Activation, and Working Alliance: Implications for Patient Engagement in Mental Health Care

This study explored the relationship between race and two key aspects of patient engagement—patient activation and working alliance—among a sample of African-American and White veterans (N = 152) seeking medication management for mental health conditions. After adjusting for demographics, race was significantly associated with patient activation, working alliance, and medication adherence scores. Patient activation was also associated with working alliance. These results provide support for the consideration of race and ethnicity in facilitating patient engagement and patient activation in mental healthcare. Minority patients may benefit from targeted efforts to improve their active engagement in mental healthcare

Veterans’ perceptions of racial bias in VA mental healthcare and their impacts on patient engagement and patient-provider communication

Objectives Drawing from social identity threat theory, which posits that stigmatized groups are attuned to situational cues that signal racial bias, we examined how African-American veterans evaluate verbal and non-verbal cues in their mental health encounters. We also explored how their evaluations of perceived racial bias might influence their healthcare engagement behaviors and communication. Methods We interviewed 85 African-American veterans who were receiving mental health services from the US Department of Veterans Affairs (VA), examining their views and experiences of race in healthcare. We analyzed the data using a constructivist grounded theory approach. Results Participants identified several identity threatening cues that include lack of racial diversity representation in healthcare settings, and perceptions of providers’ fears of Black patients. We describe how participants evaluated situational cues as identity threats, and how these cues affected their engagement behaviors and healthcare communication. Conclusion Our findings revealed situational cues within clinical encounters that create for Black veterans, fear of being negatively judged based on stereotypes that have characterized African-Americans

Do OSCE assessments reflect clinical maturation of medical students? An evaluation of progression in core knowledge and competency domains

Introduction/Background Application of knowledge in clinical settings can be assessed using several different methods. However, constructing an effective evaluation system for an educational program is a challenging task. Purpose/Objectives In this study, we aimed to evaluate our medical curriculum by investigating medical students' progressive acquisition of core clinical competencies in their clinical years, using domain-based and behaviourally anchored checklist and global rating scales in the OSCE format. Issues/Questions for exploration/Methodology Three collaboratively developed OSCE cases were administered in the 2012 end of year OSCEs to all 3rd, 4th and 5th year medical students. These OSCEs assessed core clinical competencies Year of study effect on checklist and global scores as well as competency scores were analysed using the multivariate analysis of variance. Results Irrespective of year of study, the results showed similar patterns in student performance across the three OSCE stations. However, performance was significantly affected by year of study (p<0.01) and case difficulty (p<0.001). Discussion There was a progressive increase in performance, with the more senior students obtaining higher checklist and global scores. They also demonstrated better performance in more complex clinical skills such as diagnostic skills and investigation plan. Conclusions The use of domain-based and behaviourally anchored checklist and global rating scales enhance the validity of the OSCE in measuring progressive clinical competence. It also enables identification of problem areas and provides feedback to faculty on the efficacy of the curriculum

Integrating Spatial Educational Experiences (Isee) – Mapping a New Approach to Teaching and Learning Soil Science

The purpose of the Integrating Spatial Educational Experiences project is to develop the ability of our students to use digital maps: (1) to learn how and why soils and landscapes vary spatially at scales ranging from fields, to counties, states, and globally and (2) to learn how the spatial distribution of soils and landscapes impacts the distributions of land use, and environmental and ecosystem services across various scales. Our immediate audience is undergraduate students in soil, crop, natural resource, and environmental science curricula in colleges and universities, but the products created by this project will have broader uses for outreach to other clientele. Products to support teaching and learning include: (1) a revised and expanded Integrating Spatial Educational Experiences (Isee) web site, (2) maps of soil properties for Indiana, West Virginia, Ohio, Kentucky, Illinois, Wisconsin, and Texas, (3) a community of practice dedicated to Integrating Spatial Educational Experiences in soil science education on STEMEdhub.org, and (4) lessons, worksheets, exercises, and experiences shared with the Isee community of practice

Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis.

IMPORTANCE: Human genetic studies have indicated that plasma lipoprotein(a) (Lp[a]) is causally associated with the risk of coronary heart disease (CHD), but randomized trials of several therapies that reduce Lp(a) levels by 25% to 35% have not provided any evidence that lowering Lp(a) level reduces CHD risk. OBJECTIVE: To estimate the magnitude of the change in plasma Lp(a) levels needed to have the same evidence of an association with CHD risk as a 38.67-mg/dL (ie, 1-mmol/L) change in low-density lipoprotein cholesterol (LDL-C) level, a change that has been shown to produce a clinically meaningful reduction in the risk of CHD. DESIGN, SETTING, AND PARTICIPANTS: A mendelian randomization analysis was conducted using individual participant data from 5 studies and with external validation using summarized data from 48 studies. Population-based prospective cohort and case-control studies featured 20 793 individuals with CHD and 27 540 controls with individual participant data, whereas summarized data included 62 240 patients with CHD and 127 299 controls. Data were analyzed from November 2016 to March 2018. EXPOSURES: Genetic LPA score and plasma Lp(a) mass concentration. MAIN OUTCOMES AND MEASURES: Coronary heart disease. RESULTS: Of the included study participants, 53% were men, all were of white European ancestry, and the mean age was 57.5 years. The association of genetically predicted Lp(a) with CHD risk was linearly proportional to the absolute change in Lp(a) concentration. A 10-mg/dL lower genetically predicted Lp(a) concentration was associated with a 5.8% lower CHD risk (odds ratio [OR], 0.942; 95% CI, 0.933-0.951; P = 3 × 10-37), whereas a 10-mg/dL lower genetically predicted LDL-C level estimated using an LDL-C genetic score was associated with a 14.5% lower CHD risk (OR, 0.855; 95% CI, 0.818-0.893; P = 2 × 10-12). Thus, a 101.5-mg/dL change (95% CI, 71.0-137.0) in Lp(a) concentration had the same association with CHD risk as a 38.67-mg/dL change in LDL-C level. The association of genetically predicted Lp(a) concentration with CHD risk appeared to be independent of changes in LDL-C level owing to genetic variants that mimic the relationship of statins, PCSK9 inhibitors, and ezetimibe with CHD risk. CONCLUSIONS AND RELEVANCE: The clinical benefit of lowering Lp(a) is likely to be proportional to the absolute reduction in Lp(a) concentration. Large absolute reductions in Lp(a) of approximately 100 mg/dL may be required to produce a clinically meaningful reduction in the risk of CHD similar in magnitude to what can be achieved by lowering LDL-C level by 38.67 mg/dL (ie, 1 mmol/L)

Predicting microbiologically defined infection in febrile neutropenic episodes in children : global individual participant data multivariable meta-analysis

BACKGROUND: Risk-stratified management of fever with neutropenia (FN), allows intensive management of high-risk cases and early discharge of low-risk cases. No single, internationally validated, prediction model of the risk of adverse outcomes exists for children and young people. An individual patient data (IPD) meta-analysis was undertaken to devise one. METHODS: The 'Predicting Infectious Complications in Children with Cancer' (PICNICC) collaboration was formed by parent representatives, international clinical and methodological experts. Univariable and multivariable analyses, using random effects logistic regression, were undertaken to derive and internally validate a risk-prediction model for outcomes of episodes of FN based on clinical and laboratory data at presentation. RESULTS: Data came from 22 different study groups from 15 countries, of 5127 episodes of FN in 3504 patients. There were 1070 episodes in 616 patients from seven studies available for multivariable analysis. Univariable analyses showed associations with microbiologically defined infection (MDI) in many items, including higher temperature, lower white cell counts and acute myeloid leukaemia, but not age. Patients with osteosarcoma/Ewings sarcoma and those with more severe mucositis were associated with a decreased risk of MDI. The predictive model included: malignancy type, temperature, clinically 'severely unwell', haemoglobin, white cell count and absolute monocyte count. It showed moderate discrimination (AUROC 0.723, 95% confidence interval 0.711-0.759) and good calibration (calibration slope 0.95). The model was robust to bootstrap and cross-validation sensitivity analyses. CONCLUSIONS: This new prediction model for risk of MDI appears accurate. It requires prospective studies assessing implementation to assist clinicians and parents/patients in individualised decision making

Learning to Apply Mindfulness to Pain (LAMP): Design for a Pragmatic Clinical Trial of Two Mindfulness-Based Interventions for Chronic Pain

Background: Mindfulness-based interventions (MBIs) are evidence-based nonpharmacological treatments for treating chronic pain. However, the predominant MBI, mindfulness-based stress reduction, has features that pose significant implementation barriers. Objectives: This study will test two approaches to delivering MBIs for improving Veterans' chronic pain and mental health comorbidities. These two approaches address key implementation barriers. Methods: We will conduct a four-site, three-arm pragmatic randomized controlled trial, Learning to Apply Mindfulness to Pain (LAMP), to test the effectiveness of two MBIs at improving pain and mental health comorbidities. Mobile+Group LAMP consists of prerecorded modules presented by a mindfulness instructor that are viewed in an online group setting and interspersed with discussions led by a facilitator. Mobile LAMP consists of the same prerecorded modules but does not include a group component. We will test whether either of these MBIs will be more effective than usual care at improving chronic pain and whether the Mobile+Group LAMP will be more effective than Mobile LAMP at improving chronic pain. Comparisons for the primary hypotheses will be conducted with continuous outcomes (Brief Pain Inventory interference score) repeated at 10 weeks, 6 months, and 12 months. The secondary hypotheses are that Mobile+Group LAMP and Mobile LAMP will be more effective than usual care at improving secondary outcomes (e.g., post-traumatic stress disorder, depression). We will also confirm the comparisons for the primary and secondary hypotheses in gender-specific strata. Implications: This trial is expected to result in two approaches for delivering MBIs that will optimize engagement, adherence, and sustainability and be able to reach large numbers of Veterans