Incorporating Anti-racist Principles Throughout the Research Lifecycle: A Position Statement from the Society of General Internal Medicine (SGIM).

Biomedical research has advanced medicine but also contributed to widening racial and ethnic health inequities. Despite a growing acknowledgment of the need to incorporate anti-racist objectives into research, there remains a need for practical guidance for recognizing and addressing the influence of ingrained practices perpetuating racial harms, particularly for general internists. Through a review of the literature, and informed by the Research Lifecycle Framework, this position statement from the Society of General Internal Medicine presents a conceptual framework suggesting multi-level systemic changes and strategies for researchers to incorporate an anti-racist perspective throughout the research lifecycle. It begins with a clear assertion that race and ethnicity are socio-political constructs that have important consequences on health and health disparities through various forms of racism. Recommendations include leveraging a comprehensive approach to integrate anti-racist principles and acknowledging that racism, not race, drives health inequities. Individual researchers must acknowledge systemic racism's impact on health, engage in self-education to mitigate biases, hire diverse teams, and include historically excluded communities in research. Institutions must provide clear guidelines on the use of race and ethnicity in research, reject stigmatizing language, and invest in systemic commitments to diversity, equity, and anti-racism. National organizations must call for race-conscious research standards and training, and create measures to ensure accountability, establishing standards for race-conscious research for research funding. This position statement emphasizes our collective responsibility to combat systemic racism in research, and urges a transformative shift toward anti-racist practices throughout the research cycle.

Randomized Controlled Trial of a Community Health Worker Self-Management Support Intervention Among Low-Income Adults With Diabetes, Seattle, Washington, 2010-2014.

INTRODUCTION: Community health workers (CHWs) can improve diabetes outcomes; however, questions remain about translating research findings into practical low-intensity models for safety-net providers. We tested the effectiveness of a home-based low-intensity CHW intervention for improving health outcomes among low-income adults with diabetes. METHODS: Low-income patients with glycated hemoglobin A1c (HbA1c) of 8.0% or higher in the 12 months before enrollment from 3 safety-net providers were randomized to a 12-month CHW-delivered diabetes self-management intervention or usual care. CHWs were based at a local health department. The primary outcome was change in HbA1c from baseline enrollment to 12 months; secondary outcomes included blood pressure and lipid levels, quality of life, and health care use. RESULTS: The change in HbA1c in the intervention group (n = 145) (unadjusted mean of 9.09% to 8.58%, change of -0.51) compared with the control group (n = 142) (9.04% to 8.71%, change of -0.33) was not significant (P = .54). In an analysis of participants with poor glycemic control (HbA1c >10%), the intervention group had a 1.23-point greater decrease in HbA1c compared with controls (P = .046). For the entire study population, we found a decrease in reported physician visits (P < .001) and no improvement in health-related quality of life (P = .07) in the intervention group compared with the control group. CONCLUSION: A low-intensity CHW-delivered intervention to support diabetes self-management did not significantly improve HbA1c relative to usual care. Among the subgroup of participants with poor glycemic control (HbA1c >10% at baseline), the intervention was effective.

National patterns in diabetes screening: data from the National Health and Nutrition Examination Survey (NHANES) 2005-2012.

BACKGROUND: There are few current population-based estimates of the patterns of diabetes screening in the United States. The American Diabetes Association (ADA) recommends universal screening of adults ≥ 45 years, and high-risk adults < 45 years, but there is no current assessment of ADA guideline performance in detecting diabetes and prediabetes. Furthermore, data on racial/ethnic patterns of screening are limited. OBJECTIVE: Our aim was to estimate diabetes screening prevalence for the US adult population and specifically for those who meet ADA criteria; to report the prevalence of prediabetes and diabetes among these groups; and to determine if high-risk race/ethnicity was associated with reported screening. DESIGN: This was a Cross-sectional survey. PARTICIPANTS: Non-pregnant adults (≥ 21 years) without diabetes or prediabetes who participated in the National Health and Nutrition Examination Survey (NHANES) in 2005-2012 (n = 17,572) were included in the study. "Screening-recommended" participants, classified by ADA criteria, included (1) adults ≥ 45 years and (2) "high-risk" adults < 45 years. "Screening-not-recommended" participants were adults < 45 years who did not meet criteria. MAIN MEASURES: Diabetes screening status was obtained by self-report. We used calibrated HbA1c and/or fasting glucose levels to define undiagnosed diabetes and prediabetes. KEY RESULTS: Seventy-six percent of the study population (approximately 136 million US adults) met ADA criteria. Among them, less than half (46.2%) reported screening; undiagnosed diabetes affected 3.7% (5 million individuals), and undiagnosed prediabetes affected 36.3% (49 million people.) African Americans were more likely to report screening, both among adults ≥ 45 years and among "high risk" younger adults (OR 1.27 and 1.36, respectively.) Hispanic participants were also more likely to report screening (OR 1.31 for older adults, 1.42 for younger adults.) The screening rate among "screening-not-recommended" adults was 29.6%; the prevalence of diabetes and prediabetes were 0.4 and 10.2%, respectively. CONCLUSIONS: In a nationally representative sample, 76% of adults met ADA screening criteria, of whom fewer than half reported screening. Limitations include cross-sectional design and screening self-report.

The Relationship Between Food Insecurity and Depression, Diabetes Distress and Medication Adherence Among Low-Income Patients with Poorly-Controlled Diabetes.

BACKGROUND: Food insecurity- lack of dependable access to adequate food-may play a role in poor diabetes control. OBJECTIVE: We aimed to determine the relationship between food security status and depression, diabetes distress, medication adherence and glycemic control. DESIGN: Secondary analysis of baseline data from Peer Support for Achieving Independence in Diabetes, a randomized controlled trial that enrolled patients from November 2011 to October 2013. PARTICIPANTS: Participants had poorly controlled type 2 diabetes (A1c ≥ 8.0 % on eligibility screen), household income < 250 % of the federal poverty level, were 30-70 years old, and were recruited from a large public hospital, a VA medical center and a community-health center in King County, Washington. MAIN MEASURES: We measured food insecurity determined by the Department of Agriculture's 6-Item Food Security Module. Depression, diabetes distress and medication adherence measured by PHQ-8, Diabetes Distress Scale and Morisky Medication Adherence Scale, respectively. Diet was assessed through Summary of Diabetes Self-Care Activities and Starting the Conversation tool. Incidence of hypoglycemic episodes was by patient report. Glycemic control was assessed with glycosylated hemoglobin (A1c) values from fingerstick blood sample. KEY RESULTS: The prevalence of food insecurity was 47.4 %. Chi-square tests revealed participants with food insecurity were more likely to be depressed (40.7 % vs. 15.4 %, p < 0.001), report diabetes distress (55.2 % vs. 33.8 %, p < 0.001) and have low medication adherence (52.9 % vs. 37.2 %, p = 0.02). Based on linear regression modeling, those with food insecurity had significantly higher mean A1c levels (ß = 0.51; p = 0.02) after adjusting for sex, age, race/ethnicity, language, education, marital status, BMI, insulin use, depression, diabetes distress and low medication adherence. CONCLUSIONS: Almost half of participants had food insecurity. Food insecurity was associated with depression, diabetes distress, low medication adherence and worse glycemic control. Even with adjustment, people with food insecurity had higher mean A1c levels than their food-secure counterparts, suggesting there may be other mediating factors, such as diet, that explain the relationship between food security status and diabetes control.

Barriers to Engagement in Collaborative Care Treatment of Uncontrolled Diabetes in a Safety-Net Clinic.

Purpose The purpose of the study was to evaluate patient factors associated with nonengagement in a Diabetes Collaborative Care Team (DCCT) program in a safety-net clinic. Methods The first 18 months of a multidisciplinary care, team-based diabetes care management program in a safety-net primary care clinic were studied. Nonengagement was defined as fewer than 2 visits with a team member during the 18 months of the program. Patients who did not engage in the program were compared with those who did engage on demographics, comorbid medical and psychiatric diagnoses, and cardiovascular risk factors, using univariate and multivariable analyses. Results Of the 151 patients referred to the DCCT, 68 (45%) were nonengaged. In unadjusted analyses, patients who did not engage were more likely to be female and have higher baseline A1C values; they were less likely to have major depressive disorder, anxiety disorder, any depression diagnosis, and hyperlipidemia. Female gender and chronic pain were independently associated with nonengagement after multivariable adjustment. Conclusions The findings suggest that among patients with uncontrolled diabetes in an urban safety-net primary care clinic, there is a need to address barriers to engagement for female patients and to integrate chronic pain management strategies within multicondition collaborative care models.

A collaborative care team to integrate behavioral health care and treatment of poorly-controlled type 2 diabetes in an urban safety net primary care clinic.

OBJECTIVE: Demonstrate the feasibility of implementing a collaborative care program for poorly-controlled type 2 diabetes and complex behavioral health disorders in an urban academically-affiliated safety net primary care clinic. METHODS: This retrospective cohort study evaluates multidisciplinary team care approach to diabetes in a safety net clinic, and included 634 primary care clinic patients with hemoglobin A1c (HbA1c)>9%. HbA1c, blood pressure, and depression severity were assessed at the initial visit and at the end of treatment, and compared to those of patients who were not referred to the team. RESULTS: The 151 patients referred to the program between March 2013 and November 2014 had a higher initial mean HbA1c: 10.6% vs. 9.4%, and were more likely to have depression (p=0.006), anxiety (p=0.04), and bipolar disorder (p=0.03), compared to the 483 patients who were not referred. During the 18-month study period, there was a mean decrease in HbA1c of 0.9 (10.6 to 9.4) among those referred to the team, compared to a mean decrease of 0.2 (9.4 to 9.2) among those not referred. This was a significantly greater percent change in HbA1c (p=0.008). CONCLUSION: The integration of behavioral healthcare into chronic care management of patients with diabetes is a promising strategy to improve outcomes among the high risk population in safety net settings.

Primary Care of the Patient with Chronic Kidney Disease.

Chronic kidney disease (CKD) is defined by reduced estimated glomerular filtration rate, increased proteinuria, or both. CKD affects more than 10% of US adults, or 20 million people, and the numbers are rising as the population ages. However, CKD remains underdiagnosed. Diabetes and hypertension are the most common causes of CKD. Although end-stage renal disease is a feared complication of CKD, patients with CKD have a much greater risk of dying of cardiovascular (CV) disease than progressing to kidney failure. Special effort should be made to address modifiable CV risk factors in patients with CKD.

Borderline personality disorder in the primary care setting.

Borderline personality disorder is estimated to be present in approximately 6% of outpatient primary care settings. However, the time and energy spent on this population can greatly exceed what primary care doctors are able to spend. This article gives an overview of borderline personality disorder, including the clinical characteristics, epidemiology, and comorbidities, as well as pharmacologic and most important behavioral management. It is our hope that, with improved understanding of the disorder and skills for managing this population, caring for patients with the disorder can be more satisfying and less taxing for both primary care doctors and their patients.

Peer Support for Achieving Independence in Diabetes (Peer-AID): design, methods and baseline characteristics of a randomized controlled trial of community health worker assisted diabetes self-management support.

BACKGROUND & OBJECTIVES: Community health workers (CHWs) may be an important mechanism to provide diabetes self-management to disadvantaged populations. We describe the design and baseline results of a trial evaluating a home-based CHW intervention. METHODS & RESEARCH DESIGN: Peer Support for Achieving Independence in Diabetes (Peer-AID) is a randomized, controlled trial evaluating a home-based CHW-delivered diabetes self-management intervention versus usual care. The study recruited participants from 3 health systems. Change in A1c measured at 12 months is the primary outcome. Changes in blood pressure, lipids, health care utilization, health-related quality of life, self-efficacy and diabetes self-management behaviors at 12 months are secondary outcomes. RESULTS: A total of 1438 patients were identified by a medical record review as potentially eligible, 445 patients were screened by telephone for eligibility and 287 were randomized. Groups were comparable at baseline on socio-demographic and clinical characteristics. All participants were low-income and were from diverse racial and ethnic backgrounds. The mean A1c was 8.9%, mean BMI was above the obese range, and non-adherence to diabetes medications was high. The cohort had high rates of co-morbid disease and low self-reported health status. Although one-third reported no health insurance, the mean number of visits to a physician in the past year was 5.7. Trial results are pending. CONCLUSIONS: Peer-AID recruited and enrolled a diverse group of low income participants with poorly controlled type 2 diabetes and delivered a home-based diabetes self-management program. If effective, replication of the Peer-AID intervention in community based settings could contribute to improved control of diabetes in vulnerable populations.

Chimeric maternal cells with tissue-specific antigen expression and morphology are common in infant tissues.

Maternal microchimerism (MMc) has been purported to play a role in the pathogenesis of autoimmunity, but how a small number of foreign cells could contribute to chronic, systemic inflammation has not been explained. Reports of peripheral blood cells differentiating into tissue-specific cell types may shed light on the problem in that chimeric maternal cells could act as target cells within tissues. We investigated MMc in tissues from 7 male infants. Female cells, presumed maternal, were characterized by simultaneous immunohistochemistry and fluorescence in situ hybridization for X- and Y-chromosomes. Maternal cells constituted 0.017% to 1.9% of parenchymal cells and were found in all infants in liver, pancreas, lung, kidney, bladder, skin, and spleen. Maternal cells were differentiated: maternal hepatocytes in liver, renal tubular cells in kidney, and beta-islet cells in pancreas. Maternal cells were not found in areas of tissue injury or inflammatory infiltrate. Maternal hematopoietic cells were found only in hearts from patients with neonatal lupus. Thus, differentiated maternal cells are present in multiple tissue types and occur independently of inflammation or tissue injury. Loss of tolerance to maternal parenchymal cells could lead to organ-specific "auto" inflammatory disease and elimination of maternal cells in areas of inflammation.