Organizations in science and medicine must hold each other accountable for discriminatory practices.

Many organizations persist in working with others that engage in known, remediable structural discrimination. We name this practice interorganizational structural discrimination (ISD) and argue it is a pivotal contributor to inequities in science and medicine. We urge organizations to leverage their relationships and demand progress from collaborators.

Implicit or Unconscious Bias in Diabetes Care.

"Implicit bias," also called "unconscious bias," refers to associations outside of conscious awareness that adversely affect one's perception of a person or group. Awareness of implicit bias has been increasing in the realm of diabetes care. Here, the authors highlight several types of unconscious bias on the part of clinicians and patients, including biases based on race, ethnicity, and obesity. They discuss how these biases can negatively affect patient-centered clinical interactions and diabetes care delivery, and they recommend implementation of evidence-based interventions and other health system policy approaches to reduce the potential impact of such biases in health care settings.

The Financial Impact of an Inpatient Diabetes Management Service.

CONTEXT: Diabetes is a leading metabolic disorder with a substantial cost burden, especially in inpatient settings. The complexity of inpatient glycemic management has led to the emergence of inpatient diabetes management service (IDMS), a multidisciplinary team approach to glycemic management. OBJECTIVE: To review recent literature on the financial and clinical impact of IDMS in hospital settings. METHODS: We searched PubMed using a combination of controlled vocabulary and keyword terms to describe the concept of IDMS and combined the search terms with a comparative effectiveness filter for costs and cost analysis developed by the National Library of Medicine. FINDINGS: In addition to several improved clinical endpoints such as glycemic management outcomes, IDMS implementation is associated with hospital cost savings through decreased length of stay, preventing hospital readmissions, hypoglycemia reduction, and optimizing resource allocation. There are other downstream potential cost savings in long-term patient health outcomes and avoidance of litigation related to suboptimal glycemic management. CONCLUSION: IDMS may play an important role in helping both academic and community hospitals to improve the quality of diabetes care and reduce costs. Clinicians and policymakers can utilize existing literature to build a compelling business case for IDMS to hospital administrations and state legislatures in the era of value-based healthcare.

Second Victims: Aftermath of Gun Violence and Faith-Based Responses.

In the aftermath of gun violence, those impacted and left to mourn are regarded as second victims. These individuals experience and are often burdened by mental and physical sequelae while attempting to cope with the trauma. The objective of this report is to highlight the support and resources of congregational and faith-based leaders available in an urban city with a high prevalence of gun violence. We describe information and insights presented during a symposium uniting medical-religious partners to discuss actions and programs to address trauma from gun violence. Faith-based persons from various Abrahamic religions, ranging from imams to reverends to hospital-based chaplains, discussed key strategies to allocate resources to second victims. These strategies included religious rituals meant to cope with trauma, memorials, and providing insight into resiliency for difficult times. Resources were identified for both within the hospital and community. Such medical-religious resources should be considered for future interventions which aim to attenuate the consequences of gun violence for second victims.

IN MY OWN WORDS: THE VALUE OF STORYTELLING TO SHAPE THE ACADEMIC MEDICINE JOURNEY.

As young physicians, we are trained to listen to our patients as they relay a set of signs, symptoms, and feelings to us, and then to translate their stories into a diagnosis and treatment plan that improves their health status and overall quality of life. The art of storytelling is crucial in disseminating diverse and innovative perspectives in academic medicine. First, stories from patients play a pivotal role in defining new areas of research focus for building the careers of physician-scientists, allowing them to take full advantage of the depth and breadth of their clinical and research skills. Second, sharing our own personal stories and hearing the stories of our colleagues provides fertile ground for engaging a diverse workforce in academic medical centers. This presentation will highlight how the scientific and leadership career of an academic physician was shaped by her own journey and those of her patients.

EXTERNAL VALIDATION OF THE DIABETES EARLY RE-ADMISSION RISK INDICATOR (DERRI™).

OBJECTIVE: The Diabetes Early Re-admission Risk Indicator (DERRI™) was previously developed and internally validated as a tool to predict the risk of all-cause re-admission within 30 days of discharge (30-day re-admission) of hospitalized patients with diabetes. In this study, the predictive performance of the DERRI™ with and without additional predictors was assessed in an external sample. METHODS: We conducted a retrospective cohort study of adult patients with diabetes discharged from two academic medical centers between January 1, 2000 and December 31, 2014. We applied the previously developed DERRI™, which includes admission laboratory results, sociodemographics, a diagnosis of certain comorbidities, and recent discharge information, and evaluated the effect of adding metabolic indicators on predictive performance using multivariable logistic regression. Total cholesterol and hemoglobin A1c (A1c) were selected based on clinical relevance and univariate association with 30-day re-admission. RESULTS: Among 105,974 discharges, 19,032 (18.0%) were followed by 30-day re-admission for any cause. The DERRI™ had a C-statistic of 0.634 for 30-day re-admission. Total cholesterol was the lipid parameter most strongly associated with 30-day re-admission. The DERRI™ predictors A1c and total cholesterol were significantly associated with 30-day re-admission; however, their addition to the DERRI™ did not significantly change model performance (C-statistic, 0.643 [95% confidence interval, 0.638 to 0.647]; P = .92). CONCLUSION: Performance of the DERRI™ in this external cohort was modest but comparable to other re-admission prediction models. Addition of A1c and total cholesterol to the DERRI™ did not significantly improve performance. Although the DERRI™ may be useful to direct resources toward diabetes patients at higher risk, better prediction is needed. ABBREVIATIONS: A1c = hemoglobin A1c; CI = confidence interval; DERRI™ = Diabetes Early Re-admission Risk Indicator; GEE = generalized estimating equation; HDL-C = high-density-lipoprotein cholesterol; ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification; LDL-C = low-density-lipoprotein cholesterol.

Understanding Cultural Influences on Dietary Habits in Asian, Middle Eastern, and Latino Patients with Type 2 Diabetes: A Review of Current Literature and Future Directions.

PURPOSE OF REVIEW: This review focuses on evaluating and identifying gaps in the current literature regarding culturally specific dietary influences for patients with type 2 diabetes. As this topic has previously been examined in African American populations, we chose to focus on four other distinct populations (Hispanic, Middle Eastern, Western Pacific, South Asian). Given the rapid increase in global rates of type 2 diabetes and high rates of diabetes among certain ethnic groups, it is important to understand how culturally adapted strategies in diabetes management have been described in different regions and populations. RECENT FINDINGS: The specific role of nutrition in controlling diabetes is tied to cultural habits and customs. Variation in cultural practices, including diet, create unique environments in which patients with diabetes must navigate. The role of family, particularly among Hispanics, is crucial to cultural adaptations of diabetes management. Incorporating alternative medicine, namely observed in Chinese and Indian populations, also guided diabetes care strategies. Language barriers, health literacy, and acculturation were all unique factors affecting cultural approaches to diabetes management in these four populations. Understanding such cultural determinants is crucial to addressing diabetes disparities and improving outcomes.

The Case for Diabetes Population Health Improvement: Evidence-Based Programming for Population Outcomes in Diabetes.

PURPOSE OF REVIEW: The goal of this review is to describe diabetes within a population health improvement framework and to review the evidence for a diabetes population health continuum of intervention approaches, including diabetes prevention and chronic and acute diabetes management, to improve clinical and economic outcomes. RECENT FINDINGS: Recent studies have shown that compared to usual care, lifestyle interventions in prediabetes lower diabetes risk at the population-level and that group-based programs have low incremental medial cost effectiveness ratio for health systems. Effective outpatient interventions that improve diabetes control and process outcomes are multi-level, targeting the patient, provider, and healthcare system simultaneously and integrate community health workers as a liaison between the patient and community-based healthcare resources. A multi-faceted approach to diabetes management is also effective in the inpatient setting. Interventions shown to promote safe and effective glycemic control and use of evidence-based glucose management practices include provider reminder and clinical decision support systems, automated computer order entry, provider education, and organizational change. Future studies should examine the cost-effectiveness of multi-faceted outpatient and inpatient diabetes management programs to determine the best financial models for incorporating them into diabetes population health strategies.

The Prevalence and Specificity of Depression Diagnosis in a Clinic-Based Population of Adults With Type 2 Diabetes Mellitus.

OBJECTIVE: To estimate the crude prevalence of minor depressive disorder (MinD) in a clinic-based population of adults with type 2 diabetes. METHODS: We screened a clinical sample of 702 adults with type 2 diabetes for depressive symptoms using the Patient Health Questionnaire-2 and performed a structured diagnostic psychiatric interview on 52 screen-positive and a convenience sample of 51 screen-negative individuals. Depressive disorder diagnoses were made using Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) Text Revised criteria and categorized as MinD, major depressive disorder (MDD), or no depressive disorder. We estimated prevalence of MinD and MDD and derived 95% CIs. RESULTS: The crude prevalence of current, past, and current or past MinD was 4.3% (95% CI: 0.9-9.2%), 9.6% (95% CI: 3.9-15.9%), and 13.9% (95% CI: 7.7-21.2%), respectively. The crude prevalence of current, past, and current or past MDD was slightly higher-5.0% (95% CI: 1.9-9.4%), 12.0% (95% CI: 6.1-19.5%), and 17.0% (95% CI: 10.1-24.8%), respectively. There was a high prevalence of coexisting anxiety disorders in individuals with MinD (42.2%) and MDD (8.1%). Hemoglobin A1c levels were not significantly different in individuals with MinD or MDD compared to those without a depressive disorder. CONCLUSIONS: MinD is comparably prevalent to MDD in patients with type 2 diabetes; both disorders are associated with concomitant anxiety disorders. MinD is not included in the DSM-5; however, our data support continuing to examine patients with chronic medical conditions for MinD.

A Gap Analysis Needs Assessment Tool to Drive a Care Delivery and Research Agenda for Integration of Care and Sharing of Best Practices Across a Health System.

BACKGROUND: In a complex health system, it is important to establish a systematic and data-driven approach to identifying needs. The Diabetes Clinical Community (DCC) of Johns Hopkins Medicine's Armstrong Institute for Patient Safety and Quality developed a gap analysis tool and process to establish the system's current state of inpatient diabetes care. METHODS: The collectively developed tool assessed the following areas: program infrastructure; protocols, policies, and order sets; patient and health care professional education; and automated data access. For the purposes of this analysis, gaps were defined as those instances in which local resources, infrastructure, or processes demonstrated a variance against the current national evidence base or institutionally defined best practices. RESULTS: Following the gap analysis, members of the DCC, in collaboration with health system leadership, met to identify priority areas in order to integrate and synergize diabetes care resources and efforts to enhance quality and reduce disparities in care across the system. Key gaps in care identified included lack of standardized glucose management policies, lack of standardized training of health care professionals in inpatient diabetes management, and lack of access to automated data collection and analysis. These results were used to gain resources to support collaborative diabetes health system initiatives and to successfully obtain federal research funding to develop and pilot a pragmatic diabetes educational intervention. CONCLUSION: At a health system level, the summary format of this gap analysis tool is an effective method to clearly identify disparities in care to focus efforts and resources to improve care delivery.

Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence: A Scientific Statement From the American Heart Association and the American Diabetes Association.

Cardiovascular disease risk factor control as primary prevention in patients with type 2 diabetes mellitus has changed substantially in the past few years. The purpose of this scientific statement is to review the current literature and key clinical trials pertaining to blood pressure and blood glucose control, cholesterol management, aspirin therapy, and lifestyle modification. We present a synthesis of the recent literature, new guidelines, and clinical targets, including screening for kidney and subclinical cardiovascular disease for the contemporary management of patients with type 2 diabetes mellitus.

Association of endogenous testosterone with subclinical atherosclerosis in men: the multi-ethnic study of atherosclerosis.

OBJECTIVES: Whether endogenous sex hormones play a role in cardiovascular disease (CVD) risk in men is unclear. Few studies have examined associations of sex hormones with atherosclerosis measured by coronary artery calcium score (CACS) and carotid intima-media thickness (cIMT). We evaluated the association of testosterone (T) and other sex hormones with CACS and cIMT. METHODS: Using the large multi-ethnic cohort of 3164 men without known CVD in the Multi-Ethnic Study of Atherosclerosis (MESA), cross-sectional associations of tertiles of endogenous sex hormones with CACS and cIMT were analysed. RESULTS: In regard to CAC, there was a significant negative trend (P-trend = 0·02) for CACS>0 over tertiles of free T (FT) with RRs (95% CI) for the lowest to highest tertiles. There was also a marginally significant positive trend (P-trend = 0·06) for CACS>0 over tertiles of sex hormone-binding globulin (SHBG) with RRs for the lowest to highest tertiles. There were no significant associations with CACS >0 for tertiles of TT (Total T), bioavailable T (BT), oestradiol (E2) and dehydroepiandrosterone (DHEA). There was significantly higher log CACS after adjustment for CVD risk factors for lower TT levels, compared to higher levels, using 9·54 and 10·4 nmol/l as cut-off points. In regard to cIMT, there was a significant positive trend (P = 0·003) in mean cIMT over the tertiles of BT, but not for TT, FT, E2, DHEA and SHBG. There was significantly lower cIMT after adjustment for CVD risk factors for lower TT levels compared to higher levels. CONCLUSION: In a population of male subjects with no known CVD, lower FT is associated with higher RR of CACS>0 and lower TT is associated with higher log CACS. Lower BT and TT are associated with lower cIMT. While these findings support the positive correlation between low T and coronary atherosclerosis, the opposite findings on cIMT warrant further evaluation.

PREVENTION AND MANAGEMENT OF INSULIN-ASSOCIATED HYPOGLYCEMIA IN HOSPITALIZED PATIENTS.

OBJECTIVE: To determine whether appropriate therapeutic changes in insulin doses are made to prevent and manage insulin-associated hypoglycemic events in non-critically ill hospitalized patients. METHODS: This retrospective study was conducted in hospitalized adults on medical or surgical floors with insulin-associated hypoglycemia, excluding treatment with insulin infusions, insulin pumps, and parenteral nutrition. The first hypoglycemic event after 48 hours of admission was the index event. Over the 1-year study period, a total of 457 insulin-associated hypoglycemic events were included as index events. RESULTS: An indication for an insulin dose adjustment was identified in 32 and 42% of patients on day -2 and day -1, respectively, before the index hypoglycemic event, of which 35 and 55%, respectively, had an insulin dose reduction ≥10%. Following the hypoglycemic event, 44% of patients had an insulin dose reduction of ≥20%. Therapeutic reduction of the total daily insulin dose by ≥20% was associated with increased odds of normoglycemia and lower odds of hyperglycemia but was not associated with lower odds of recurrent hypoglycemia on the day following the index hypoglycemic event. There was a high prevalence of hypoglycemic risk factors in this population, with kidney disease and nil per os status being the most prevalent contributing factors. CONCLUSION: Adherence to the current practice recommendation to reduce insulin doses in patients with borderline hypoglycemia and following overt hypoglycemia was modest. Further studies are needed to understand the associated risks and to define appropriate therapeutic changes for insulin treated patients with borderline and overt hypoglycemia. ABBREVIATIONS: AKI = acute kidney injury BG = blood glucose CKD = chronic kidney disease ESRD = end-stage renal disease ICU = intensive care unit NPH = Neutral Protamine Hagedorn NPO = nil per os OR = odds ratio TDD = total daily dose.

DEVELOPMENT AND VALIDATION OF A NOVEL TOOL TO PREDICT HOSPITAL READMISSION RISK AMONG PATIENTS WITH DIABETES.

OBJECTIVE: To develop and validate a tool to predict the risk of all-cause readmission within 30 days (30-d readmission) among hospitalized patients with diabetes. METHODS: A cohort of 44,203 discharges was retrospectively selected from the electronic records of adult patients with diabetes hospitalized at an urban academic medical center. Discharges of 60% of the patients (n = 26,402) were randomly selected as a training sample to develop the index. The remaining 40% (n = 17,801) were selected as a validation sample. Multivariable logistic regression with generalized estimating equations was used to develop the Diabetes Early Readmission Risk Indicator (DERRI™). RESULTS: Ten statistically significant predictors were identified: employment status; living within 5 miles of the hospital; preadmission insulin use; burden of macrovascular diabetes complications; admission serum hematocrit, creatinine, and sodium; having a hospital discharge within 90 days before admission; most recent discharge status up to 1 year before admission; and a diagnosis of anemia. Discrimination of the model was acceptable (C statistic 0.70), and calibration was good. Characteristics of the validation and training samples were similar. Performance of the DERRI™ in the validation sample was essentially unchanged (C statistic 0.69). Mean predicted 30-d readmission risks were also similar between the training and validation samples (39.3% and 38.7% in the highest quintiles). CONCLUSION: The DERRI™ was found to be a valid tool to predict all-cause 30-d readmission risk of individual patients with diabetes. The identification of high-risk patients may encourage the use of interventions targeting those at greatest risk, potentially leading to better outcomes and lower healthcare costs. ABBREVIATIONS: DERRI™ = Diabetes Early Readmission Risk Indicator ICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification GEE = generalized estimating equations ROC = receiver operating characteristic.

Reaching for Health Equity and Social Justice in Baltimore: The Evolution of an Academic-Community Partnership and Conceptual Framework to Address Hypertension Disparities.

Cardiovascular health disparities persist despite decades of recognition and the availability of evidence-based clinical and public health interventions. Racial and ethnic minorities and adults in urban and low-income communities are high-risk groups for uncontrolled hypertension (HTN), a major contributor to cardiovascular health disparities, in part due to inequitable social structures and economic systems that negatively impact daily environments and risk behaviors. This commentary presents the Johns Hopkins Center to Eliminate Cardiovascular Health Disparities as a case study for highlighting the evolution of an academic-community partnership to overcome HTN disparities. Key elements of the iterative development process of a Community Advisory Board (CAB) are summarized, and major CAB activities and engagement with the Baltimore community are highlighted. Using a conceptual framework adapted from O'Mara-Eves and colleagues, the authors discuss how different population groups and needs, motivations, types and intensity of community participation, contextual factors, and actions have shaped the Center's approach to stakeholder engagement in research and community outreach efforts to achieve health equity.

A comparison of inpatient glucose management guidelines: implications for patient safety and quality.

Inpatient glucose management guidelines and consensus statements play an important role in helping to keep hospitalized patients with diabetes and hyperglycemia safe and in optimizing the quality of their glycemic control. In this review article, we compare and contrast seven prominent US guidelines on recommended glycemic outcome measures and processes of care, with the goal of highlighting how variation among them might influence patient safety and quality. The outcome measures of interest include definitions of glucose abnormalities and glycemic targets. The relevant process measures include detection and documentation of diabetes/hyperglycemia, methods of and indications for insulin therapy, management of non-insulin agents, blood glucose monitoring, management of special situations (e.g., parenteral/enteral nutrition, glucocorticoids, surgery, insulin pumps), and appropriate transitions of care. In addition, we address elements of quality improvement, such as glycemic control program infrastructure, glucometrics, insulin safety, and professional education. While most of these guidelines align with respect to outcome measures such as glycemic targets, there is significant heterogeneity among process measures, which we propose might introduce variation or even confusion in clinical practice and possibly affect quality of care. Guideline-related factors, such as rigor of development, clarity, and presentation, may also affect provider trust in and adherence to guidelines. There is a need for high-quality research to address knowledge gaps in optimal glucose management practice approaches in the hospital setting.

Transdisciplinary cardiovascular and cancer health disparities training: experiences of the centers for population health and health disparities.

The Centers for Population Health and Health Disparities program promotes multilevel and multifactorial health equity research and the building of research teams that are transdisciplinary. We summarized 5 areas of scientific training for empowering the next generation of health disparities investigators with research methods and skills that are needed to solve disparities and inequalities in cancer and cardiovascular disease. These areas include social epidemiology, multilevel modeling, health care systems or health care delivery, community-based participatory research, and implementation science. We reviewed the acquisition of the skill sets described in the training components; these skill sets will position trainees to become leaders capable of effecting significant change because they provide tools that can be used to address the complexities of issues that promote health disparities.

Sex and race/ethnic disparities in the cross-sectional association between depressive symptoms and muscle mass: the Multi-ethnic Study of Atherosclerosis.

BACKGROUND: The cross-sectional area of total muscle mass has been reported to decrease by about 40% for those 20-60 years of age. Depressive symptoms may discourage motivation to engage in physical activity such as strength training shown to negate muscle loss. Inflammation related to depressive symptoms may also contribute to muscle atrophy. Physiological differences by sex and race/ethnicity may also modify the association between depression and muscle mass. Evidence on the relationship between depression (or depressive symptoms) and adiposity has been mounting; however, little is known about the depressive symptoms-muscle mass association. We sought to determine the association between elevated depressive symptoms (EDS) and lean muscle mass and whether this varies by sex and race/ethnicity. METHODS: Evaluating 1605 adults (45-84 years of age) from the Multi-ethnic Study of Atherosclerosis Abdominal Body Composition, Inflammation and Cardiovascular Disease Study, we examined the cross-sectional association between EDS (Center for Epidemiologic Studies for Depression Scale score≥16 and/or antidepressant use) and computed tomography-measured abdominal lean muscle mass using linear regression. Muscles were evaluated as a whole and by functionality (locomotion vs. stabilization/posture). Covariates included height, body mass index, sociodemographics, comorbidities, inflammatory markers and health behaviors (pack-years of smoking, alcohol locomotion compared to men, total intentional exercise, daily caloric intake). Sex and race/ethnicity were assessed as potential modifiers. Statistical significance was at a p<0.05 for main effects and <0.20 for interaction. RESULTS: Men with elevated depressive symptoms had 5.9 cm2 lower lean muscle mass for locomotion compared to men without EDS, fully-adjusted (CI=-10.5, -1.4, p=0.011). This was statistically significantly different from the null finding among women (interaction p=0.05). Chinese participants with EDS had 10.2 cm2 lower abdominal lean muscle mass for locomotion compared to those without EDS (fully-adjusted, CI=-18.3, -2.1, p=0.014), which was significantly different from the null relationship among White participants (interaction p=0.04). No association was observed between elevated depressive symptoms and muscle for stabilization/posture evaluating the whole population or stratified by sex or race/ethnicity. CONCLUSIONS: In the presence of elevated depressive symptoms, men and Chinese participants may have lower muscle mass, particularly for locomotion.

Clinical Communities at Johns Hopkins Medicine: An Emerging Approach to Quality Improvement.

BACKGROUND: Clinical communities are an emerging approach to quality improvement (QI) to which several large-scale projects have attributed some success. In 2011 the Armstrong Institute for Patient Safety and Quality established clinical communities as a core strategy to connect frontline providers from six different hospitals to improve quality of care, patient safety, and value across the health system. CLINICAL COMMUNITIES: Fourteen clinical communities that presented great opportunity for improvement were established. A community could focus on a clinical area, a patient population, a group, a process, a safety-related issue, or nearly any health care issue. The collaborative spirit of the communities embraced interdisciplinary membership and representation from each hospital in each community. Communities engaged in team-building activities and facilitated discussions, met monthly, and were encouraged to meet in person to develop relationships and build trust. After a community was established, patients and families were invited to join and share their perspectives and experiences. ENABLING STRUCTURES: The clinical community structure provided clinicians access to resources, such as technical experts and safety and QI researchers, that were not easily otherwise accessible or available. Communities convened clinicians from each hospital to consider safety problems and their resolution and share learning with workplace peers and local unit safety teams. CONCLUSION: The clinical communities engaged 195 clinicians from across the health system in QI projects and peer learning. Challenges included limited financial support and time for clinicians, timely access to data, limited resources from the health system, and not enough time with improvement experts.