Study Objectives To determine whether name and accent cues that the caller is Black shape physician offices’ responses to telephone‐based requests for well‐child visits. Method and Data In this pilot study, we employed a quasi‐experimental audit design and examined a stratified national sample of pediatric and family practice offices. Our final data include information from 205 audits (410 completed phone calls). Qualitative data were blind‐coded into binary variables. Our case‐control comparisons using McNemar's tests focused on acceptance of patients, withholding information, shaping conversations, and misattributions. Findings Compared to the control group, “Black” auditors were less likely to be told an office was accepting new patients and were more likely to experience both withholding behaviors and misattributions about public insurance. The strength of associations varied according to whether the cue was based on name or accent. Additionally, the likelihood and ways office personnel communicated that they were not accepting patients varied by region. Conclusions Linguistic profiling over the telephone is an aspect of structural racism that should be further studied and perhaps integrated into efforts to promote equitable access to care. Future research should look reactions to both name and accent, taking practice characteristics and regional differences into consideration.

Few researchers examine how long African Americans expect to live. Using the fifth wave of the Harlem Longitudinal Study of Urban Black Youth, 1993-1994, the author explores the extent to which established predictors of subjective life expectancy (SLE), identified in predominantly and exclusively White samples, predict SLE among African Americans living in an urban area. The analyses reveal that some established predictors are associated with how long African Americans expect to live; others are not. Additionally, I examine two unexplored categories of SLE: stress and social network characteristics. Findings suggest that some measures of stress have a negative relationship to SLE, while other forms of stress have a positive relationship to SLE. In general, network characteristics are associated with how long African Americans expect to live.

Objective Surveys often ask respondents to assess discrimination in health care. Yet, patients' responses to one type of widely used measure of discrimination (single-item, personally mediated) tend to reveal prevalence rates lower than observational studies would suggest. This study examines the meaning behind respondents' closed-ended self-reports on this specific type of measure, paying special attention to the frameworks and references used within the medical setting. Design Twenty-nine respondents participated in this study. They were asked the widely used question: 'Within the past 12 months, when seeking health care do you feel your experiences were worse than, the same as, or better than people of other races?' We then conducted qualitative interviews focusing on their chosen response and past experiences. Descriptive analyses focus on both the quantitative and qualitative data, including a comparison of conveyed perceived discrimination according to the different sources of data. Results To identify discrimination, respondents drew upon observations of dynamics in the waiting room or the health providers' communication style. Our respondents were frequently ambivalent and uncertain about how their personal treatment in health care compared to people of other races. When participants were unable to make observable comparisons, they tended to assume equal treatment and report 'same as' in the close-ended reports. Conclusion Respondents' responses to single-item, closed-ended questions may be influenced by characteristics specific to the health care realm. An emphasis on privacy and assumptions about the health care field (both authority and benevolence of providers) may limit opportunities for comparison and result in assumptions of racial parity in treatment.

Purpose The purpose of this study is to understand diabetes-related distress (DRD) characteristics and identify psychosocial support preferences of urban African American adults living with type 2 diabetes (T2DM). Methods A 2-phase, mixed-methods sequential explanatory study design was used to gather data. In phase 1, a purposive sample of participants (N = 155) was recruited and asked to complete a written survey. The Diabetes Distress Scale (DDS17) was used to assess DRD, including subscales-emotional burden (EB), regimen distress (RD), interpersonal distress (ID), and physician distress (PD). In phase 2, a subset of phase 1 participants (N = 23) volunteered to attend 1 of 4 gender-stratified follow-up focus groups to contextualize the quantitative survey results. Results Survey findings indicate that on average, participants had moderate levels of DRD (aggregate), RD, and EB but had low ID and PD. During follow-up focus groups, participants described RD and EB as their primary distress types and emphasized that clinicians should prioritize the mental health aspects of T2DM similarly to its physical aspects. Participants expressed a desire for culturally appropriate peer support groups as a psychosocial support resource for distress coping and specifically requested the development of gender-stratified groups and groups for young adults. Conclusions Results support the need to screen for and address diabetes-related distress among African American patients with T2DM. Findings also inform the development of culturally appropriate psychosocial support resources to facilitate diabetes-related distress coping.

We conducted a study about three common recruitment and retention obstacles facing scholars interested in racial disparities research: potential mistrust from the black community, a stigmatized research topic, and high participation burden. Nonetheless, we successfully recruited and retained 28 young black men in a three-month study of violence. In this article, we describe and explore the recruitment, engagement, and retention strategies employed during the study. Using a concurrent triangulation mixed-method design, we analyzed data from our web-based administrative system, participant enrollment and exit surveys, and team members' field notes. A large