Josephine Boyington

The State of Research on Racial/Ethnic Discrimination in The Receipt of Health Care

OBJECTIVES We conducted a review to examine current literature on the effects of interpersonal and institutional racism and discrimination occurring within health care settings on the health care received by racial/ethnic minority patients. METHODS We searched the PsychNet, PubMed, and Scopus databases for articles on US populations published between January 1, 2008 and November 1, 2011. We used various combinations of the following search terms: discrimination, perceived discrimination, race, ethnicity, racism, institutional racism, stereotype, prejudice or bias, and health or health care. Fifty-eight articles were reviewed. RESULTS Patient perception of discriminatory treatment and implicit provider biases were the most frequently examined topics in health care settings. Few studies examined the overall prevalence of racial/ethnic discrimination and none examined temporal trends. In general, measures used were insufficient for examining the impact of interpersonal discrimination or institutional racism within health care settings on racial/ethnic disparities in health care. CONCLUSIONS Better instrumentation, innovative methodology, and strategies are needed for identifying and tracking racial/ethnic discrimination in health care settings.

From Ideas to Efficacy: The ORBIT Model for Developing Behavioral Treatments for Chronic Diseases

OBJECTIVE Given the critical role of behavior in preventing and treating chronic diseases, it is important to accelerate the development of behavioral treatments that can improve chronic disease prevention and outcomes. Findings from basic behavioral and social sciences research hold great promise for addressing behaviorally based clinical health problems, yet there is currently no established pathway for translating fundamental behavioral science discoveries into health-related treatments ready for Phase III efficacy testing. This article provides a systematic framework for developing behavioral treatments for preventing and treating chronic diseases. METHOD The Obesity-Related Behavioral Intervention Trials (ORBIT) model for behavioral treatment development features a flexible and progressive process, prespecified clinically significant milestones for forward movement, and return to earlier stages for refinement and optimization. RESULTS This article presents the background and rationale for the ORBIT model, a summary of key questions for each phase, a selection of study designs and methodologies well-suited to answering these questions, and prespecified milestones for forward or backward movement across phases. CONCLUSIONS The ORBIT model provides a progressive, clinically relevant approach to increasing the number of evidence-based behavioral treatments available to prevent and treat chronic diseases. (PsycINFO Database Record

Childhood Obesity Prevention and Treatment Research (COPTR): interventions addressing multiple influences in childhood and adolescent obesity.

This paper is the first of five papers in this issue that describes a new research consortium funded by the National Institutes of Health. It describes the design characteristics of the Childhood Obesity Prevention and Treatment Research (COPTR) trials and common measurements across the trials. The COPTR Consortium is conducting interventions to prevent obesity in pre-schoolers and treat overweight or obese 7-13 year olds. Four randomized controlled trials will enroll a total of 1700 children and adolescents (~50% female, 70% minorities), and will test innovative multi-level and multi-component interventions in multiple settings involving primary care physicians, parks and recreational centers, family advocates, and schools. For all the studies, the primary outcome measure is body mass index; secondary outcomes, moderators and mediators of intervention include diet, physical activity, home and neighborhood influences, and psychosocial factors. COPTR is being conducted collaboratively among four participating field centers, a coordinating center, and NIH project offices. Outcomes from COPTR have the potential to enhance our knowledge of interventions to prevent and treat childhood obesity.

Reducing Health Inequities in the U.S.: Recommendations From the NHLBI's Health Inequities Think Tank Meeting

The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) embrace broad and inclusive research themes; 2) develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panels remarks and recommendations are provided in this report.

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.

Multilevel Interventions Targeting Obesity: Research Recommendations for Vulnerable Populations

INTRODUCTION The origins of obesity are complex and multifaceted. To be successful, an intervention aiming to prevent or treat obesity may need to address multiple layers of biological, social, and environmental influences. METHODS NIH recognizes the importance of identifying effective strategies to combat obesity, particularly in high-risk and disadvantaged populations with heightened susceptibility to obesity and subsequent metabolic sequelae. To move this work forward, the National Heart, Lung, and Blood Institute, in collaboration with the NIH Office of Behavioral and Social Science Research and NIH Office of Disease Prevention convened a working group to inform research on multilevel obesity interventions in vulnerable populations. The working group reviewed relevant aspects of intervention planning, recruitment, retention, implementation, evaluation, and analysis, and then made recommendations. RESULTS Recruitment and retention techniques used in multilevel research must be culturally appropriate and suited to both individuals and organizations. Adequate time and resources for preliminary work are essential. Collaborative projects can benefit from complementary areas of expertise and shared investigations rigorously pretesting specific aspects of approaches. Study designs need to accommodate the social and environmental levels under study, and include appropriate attention given to statistical power. Projects should monitor implementation in the multiple venues and include a priori estimation of the magnitude of change expected within and across levels. CONCLUSIONS The complexity and challenges of delivering interventions at several levels of the social-ecologic model require careful planning and implementation, but hold promise for successful reduction of obesity in vulnerable populations.

Comparisons of Body Image Perceptions of a Sample of Black and White Women with Rheumatoid Arthritis and Fibromyalgia in the US

Objective : To explore the disease-related, body image (BI) perceptions of women diagnosed with, rheumatoid arthritis (RA) and fibromyalgia (FM). Methods : A purposive sample of twenty-seven females participated in individual semi-structured phone interviews to elicit BI perceptions relative to pain, activity limitations and coping measures. Sessions were digitally recorded, transcribed verbatim, and content analyzed. Results : Body image perceptions relative to 5 major themes emerged in the analysis. They focused on Pain, Disease Impact on Physical and Mental Function, Weight, Diseased-Induced Fears and, Coping measures. Pain was a common experience of all participants. Other troubling factors verbalized by participants included dislike and shame of visibly affected body parts, and disease-induced social, psychological and physical limitations. RA participants thought that manifested joint changes, such as swelling and redness, undergirded their prompt diagnosis and receipt of health care. Contrarily, women with fibromyalgia perceived that the lack of visible, disease-related, physical signs led to a discounting of their disease, which led to delayed health care and subsequent frustrations and anger. All but one participant used prayer and meditation as a coping measure. Conclusion : The body image perceptions evidenced by the majority of participants were generally negative and included specific focus on their disease-affected body parts (e.g. joints), mental function, self-identity, health care experiences, activity limitations and overall quality of life. Given the global effect of RA and FM, assessment and integration of findings about the BI perceptions of individuals with FM and RA may help define suitable interdisciplinary strategies for managing these conditions and improving participants’ quality of life.

Factor Structure of the Arthritis Body Experience Scale (ABES) in a U.S. Population of People with Osteoarthritis (OA), Rheumatoid Arthritis (RA), Fibromyalgia (FM) and Other Rheumatic Conditions

Objective To examine the psychometric properties of the Arthritis Body Experience Scale (ABES) in a US sample of people with osteoarthritis, rheumatoid arthritis, fibromyalgia and other rheumatic conditions. Methods The ABES, with the scoring direction modified, was phone-administered to 937 individuals who self-identified as having one or more arthritis conditions based on a validated, US, national survey assessment tool. Descriptive statistics of demographic variables and factor analysis of scale items were conducted. Scale dimensionality was assessed using principal component analysis (PCA) with oblique rotation. Criteria for assessing factors were eigenvalues > 1, visual assessment of scree plot, and structure and pattern matrices. Results The predominantly female (74.2%) and Caucasian (79.9%) sample had a mean age of 61.0 ± 13.1 years, and a mean BMI of 30.2 ± 7.1. Major arthritis conditions reported were rheumatoid arthritis, osteoarthritis and fibromyalgia. A three-factor structure with cronbach alpha values of .84, .85 and .53 was elicited, and accounted for 72% of the variance. Discussion Compared to the two-factor structure evidenced by the original ABES scale in a sample of UK adults, the data from this sample evidenced a three-factor structure with higher variance. The third factor’s cronbach alpha of .53 was low and could be improved by the addition of salient questions derived from further qualitative interviews with patients with arthritis and other rheumatic conditions and from current literature findings. Conclusion The observed psychometrics indicate the scale usefully assesses body image in populations with arthritis and related conditions. However, further testing and refinement is needed to determine its utility in clinical and other settings.