Connecting Community to Research: A Training Program to Increase Community Partnerships in Research

Background: Community Engaged Research (CEnR) as a means to address health disparities has emphasized the necessity for community members to partner with researchers. The Boston University CTSI identified the local need to increase the number and diversity of community members ready and willing to engage in the research process. Methods: Connecting Community to Research (CCR) was designed to train community groups interested in improving the health of their community. Trainings were adapted from existing curricula with input from a 12 member advisory panel. The goal was to help trainees understand the various roles they can play along the research process. In a 1-2 hour training, participants were guided through an introduction to CEnR and learned how sharing their stories could inform research. The training concluded with an evaluation survey and opportunities to get connected to loco-regional projects. Results: From December 2015 to November 2016, 100 participants of diverse backgrounds were trained at 7 sessions: 56% identified as White, 35% African American, and 6% other races. Evaluation data indicated: 94% of trainees understood how research could address a community concern, 82% understood how to use their stories to inform research, and 53% intended to participate as an advocate in research. Conclusion: These data suggest trainings like CCR can increase the number and diversity of community members willing to engage in research. While this introductory training generated positive results, additional trainings with varying levels of skill development may be needed to further empower community members to engage as partners in research

Translating research into practice: Protocol for a community-engaged, stepped wedge randomized trial to reduce disparities in breast cancer treatment through a regional patient navigation collaborative

BACKGROUND: Racial and socioeconomic disparities in breast cancer mortality persist. In Boston, MA, Black, Non-Hispanic women and Medicaid-insured individuals are 2-3 times more likely to have delays in treatment compared to White or privately insured women. While evidence-based care coordination strategies for reducing delays exist, they are not systematically implemented across healthcare settings. METHODS: Translating Research Into Practice (TRIP) utilizes community engaged research methods to address breast cancer care delivery disparities. Four Massachusetts Clinical and Translational Science Institute (CTSI) hubs collaborated with the Boston Breast Cancer Equity Coalition (The Coalition) to implement an evidence-based care coordination intervention for Boston residents at risk for delays in breast cancer care. The Coalition used a community-driven process to define the problem of care delivery disparities, identify the target population, and develop a rigorous pragmatic approach. We chose a cluster-randomized, stepped-wedge hybrid type I effectiveness-implementation study design. The intervention implements three evidence-based strategies: patient navigation services, a shared patient registry for use across academic medical centers, and a web-based social determinants of health platform to identify and address barriers to care. Primary clinical outcomes include time to first treatment and receipt of guideline-concordant treatment, which are captured through electronic health records abstraction. We will use mixed methods to collect the secondary implementation outcomes of acceptability, adoption/penetration, fidelity, sustainability and cost. CONCLUSION: TRIP utilizes an innovative community-driven research strategy, focused on interdisciplinary collaborations, to design and implement a translational science study that aims to more efficiently integrate proven health services interventions into clinical practice

Designing Audience-Centered Interactive Voice Response Messages to Promote Cancer Screenings Among Low-Income Latinas

Introduction: Cancer screening rates among Latinas are suboptimal. The objective of this study was to explore how Latinas perceive cancer screening and the use and design of interactive voice response (IVR) messages to prompt scheduling of 1 or more needed screenings. Methods: Seven focus groups were conducted with Latina community health center patients (n = 40) in need of 1 or more cancer screenings: 5 groups were of women in need of 1 cancer screening (breast, cervical, or colorectal), and 2 groups were of women in need of multiple screenings. A bilingual researcher conducted all focus groups in Spanish using a semistructured guide. Focus groups were recorded, transcribed, and translated into English for analysis. Emergent themes were identified by using thematic content analysis. Results: Participants were familiar with cancer screening and viewed it positively, although barriers to screening were identified (unaware overdue for screening, lack of physician referral, lack of insurance or insufficient insurance coverage, embarrassment or fear of screening procedures, fear of screening outcomes). Women needing multiple screenings voiced more concern about screening procedures, whereas women in need of a single screening expressed greater worry about the screening outcome. Participants were receptive to receiving IVR messages and believed that culturally appropriate messages that specified needed screenings while emphasizing the benefit of preventive screening would motivate them to schedule needed screenings. Conclusion: Participants’ receptiveness to IVR messages suggests that these messages may be an acceptable strategy to promote cancer screening among underserved Latina patients. Additional research is needed to determine the effectiveness of IVR messages in promoting completion of cancer screening

The Impact of Patient Navigation on the Delivery of Diagnostic Breast Cancer Care in the National Patient Navigation Research Program: A Prospective Meta-Analysis.

Patient navigation is emerging as a standard in breast cancer care delivery, yet multi-site data on the impact of navigation at reducing delays along the continuum of care are lacking. The purpose of this study was to determine the effect of navigation on reaching diagnostic resolution at specific time points after an abnormal breast cancer screening test among a national sample. A prospective meta-analysis estimated the adjusted odds of achieving timely diagnostic resolution at 60, 180, and 365 days. Exploratory analyses were conducted on the pooled sample to identify which groups had the most benefit from navigation. Clinics from six medical centers serving vulnerable populations participated in the Patient Navigation Research Program. Women with an abnormal breast cancer screening test between 2007 and 2009 were included and received the patient navigation intervention or usual care. Patient navigators worked with patients and their care providers to address patient-specific barriers to care to prevent delays in diagnosis. A total of 4675 participants included predominantly racial/ethnic minorities (74 %) with public insurance (40 %) or no insurance (31 %). At 60 days and 180 days, there was no statistically significant effect of navigation on achieving timely diagnostic care, but a benefit of navigation was seen at 365 days (aOR 2.12, CI 1.36-3.29). We found an equal benefit of navigation across all groups, regardless of race/ethnicity, language, insurance status, and type of screening abnormality. Patient navigation resulted in more timely diagnostic resolution at 365 days among a diverse group of minority, low-income women with breast cancer screening abnormalities. Trial registrations clinicaltrials.gov Identifiers: NCT00613275, NCT00496678, NCT00375024, NCT01569672

RE: How the Coronavirus Disease-2019 May Improve Care: Rethinking Cervical Cancer Prevention

Feldman and Haas have written a timely piece on the potential to enhance cancer prevention and cancer care delivery in the COVID-19 era. Using cervical cancer prevention as a use case, the commentary describes clinical care provided via virtual platforms and in nontraditional settings, such as the patient’s home, as areas needing creative approaches to ensure care is provided safely and efficiently. As we consider factors that are relevant to delivering effective cancer prevention and cancer care post-COVID, we suggest that addressing social determinants of health, an often forgotten dimension of lived experience, should be prioritized as a strategy to enhance the equity of care provision. Social determinants of health, including food and housing insecurity have been shown to impact outcomes of patients with cancer, through a number of mechanisms including delays and incomplete care

Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution

Simultaneous recordings of many single neurons reveals unique insights into network processing spanning the timescale from single spikes to global oscillations. Neurons dynamically self-organize in subgroups of coactivated elements referred to as cell assemblies. Furthermore, these cell assemblies are reactivated, or replayed, preferentially during subsequent rest or sleep episodes, a proposed mechanism for memory trace consolidation. Here we employ Principal Component Analysis to isolate such patterns of neural activity. In addition, a measure is developed to quantify the similarity of instantaneous activity with a template pattern, and we derive theoretical distributions for the null hypothesis of no correlation between spike trains, allowing one to evaluate the statistical significance of instantaneous coactivations. Hence, when applied in an epoch different from the one where the patterns were identified, (e.g. subsequent sleep) this measure allows to identify times and intensities of reactivation. The distribution of this measure provides information on the dynamics of reactivation events: in sleep these occur as transients rather than as a continuous process

Membrane transport, sensing and signaling in plant adaptation to environmental stress

Plants are generally well adapted to a wide range of environmental conditions. Even though they have notably prospered in our planet, stressful conditions such as salinity, drought and cold or heat, which are increasingly being observed worldwide in the context of the ongoing climate changes, limit their growth and productivity. Behind the remarkable ability of plants to cope with these stresses and still thrive, sophisticated and efficient mechanisms to re-establish and maintain ion and cellular homeostasis are involved. Among the plant arsenal to keep homeostasis are efficient stress sensing and signaling mechanisms, plant cell detoxification systems, compatible solute and osmoprotectant accumulation and a vital rearrangement of solute transport and compartmentation. The key role of solute transport systems and signaling proteins in cellular homeostasis is addressed in the present work. The full understanding of the plant cell complex defense mechanisms under stress may allow for the engineering of more tolerant plants or the optimization of cultivation practices to improve yield and productivity, which is crucial in the present time as food resources are progressively scarce.This work was supported by the Portuguese Foundation for Science and Technology (FCT) (research project ref. PTDC/AGR-ALI/100636/2008; to A. Conde, grant ref. SFRH/BD/47699/2008)

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Cancer prevention trials and primary care physicians: factors associated with recommending trial enrollment

BACKGROUND: To explore the willingness of primary care providers (PCPs) to encourage enrollment of patients into cancer prevention trials. METHODS: A self-administered survey was mailed to a random sample of PCPs in three geographic regions. Physicians were asked questions about their knowledge and attitudes towards cancer prevention trials. We presented a clinical vignette of a woman at high risk for breast cancer and asked if they would encourage her enrollment into a breast cancer chemoprevention trial (yes/no). Each survey included one of 16 possible clinical vignettes where patient characteristics (age, race socioeconomic status, physical mobility and co-morbidity) varied dichotomously. Bivariate analyses and logistic models were used to examine the independent effects of patient and physician characteristics on physician decisions. RESULTS: Two hundred and sixty-six surveys (50% response) were analyzed. The mean age of respondents was 48; 54% were White, 35% Asian and 5% Black. By design physicians were evenly distributed by gender, specialty and geographic location. Overall, 53% would encourage enrollment into a breast cancer chemoprevention trial. Significant predictors of a recommendation to enroll were: geographic location in California or Georgia, younger vignette patient and anticipating an increase in patient trust after recommending enrollment. CONCLUSION: PCPs are less likely to encourage elderly patients to enroll into cancer chemoprevention trials. Decisions differ based on geographic location and perceived trust in the patient-provider relationship. To achieve successful enrollment, trial investigators must continue to educate PCPs and ensure a strong PCP-patient relationship is maintained

Predictors of aggressive therapy for nonmetastatic prostate carcinoma in Massachusetts from 1998 to 2002

BACKGROUND: Most studies have found that black men are less likely to receive aggressive therapy for nonmetastatic prostate cancer, even after controlling for covariates. However, previous studies have not accounted for the clustering of outcomes by facility. OBJECTIVE: We sought to compare the proportions of black and white men receiving aggressive therapy for newly diagnosed nonmetastatic prostate cancer between 1998 and 2002, accounting for the clustering of outcomes by facility. METHODS: We used the Massachusetts Cancer Registry of all cancer diagnosed in residents of Massachusetts. We used logistic regression, clustering by the facility where the tumor was diagnosed, to predict the probability that a patient would receive any aggressive therapy, and the specific therapeutic choices of radical prostatectomy, external-beam radiation therapy, and brachytherapy. Predictors included race, age, poverty, insurance status, marital status, year of diagnosis, and tumor grade. RESULTS: Black men were similarly likely to receive aggressive therapy compared with white men (odds ratio [OR] 0.79, 95% confidence interval [CI] 0.62-1.01). However, there was a racial difference in the receipt of particular types of therapy: black men were significantly more likely to receive radiation therapy (OR 1.39, 95% CI 1.16-1.68) and less likely to receive radical prostatectomy (OR 0.53, 95% CI 0.38-0.74). CONCLUSIONS: Among men diagnosed with nonmetastatic prostate cancer in Massachusetts from 1998 to 2002, black men received aggressive therapy at rates approaching those of whites. However, they were more likely to receive radiation therapy and less likely to receive radical prostatectomy