Daily Communal Coping in Couples With Type 2 Diabetes: Links to Mood and Self-Care.

Background: Adjusting to the challenges of a chronic illness does not affect patients alone but also influences social network members-most notably spouses. One interpersonal framework of coping with a chronic illness is communal coping, described as when a problem is appraised as joint and the couple collaborates to manage the problem. Purpose: We sought to determine whether daily communal coping was linked to daily mood and self-care behavior and examined one potential mechanism that may explain these links: perceived emotional responsiveness. Methods: Patients who had been diagnosed with diabetes less than 5 years ago and their spouses (n = 123) completed a daily diary questionnaire that assessed communal coping and mood for 14 consecutive days. The patients also reported daily self-care behaviors. We used multilevel modeling to examine the links of communal coping to patient and spouse mood and patient self-care. Because both patients and spouses reported their mood, the actor-partner interdependence model (APIM) was employed to examine mood. Results: Multilevel APIM showed that actor communal coping was associated with lower depressed mood, higher happy mood, and lower angry mood and partner communal coping was linked to higher happy mood. Patient communal coping was related to better dietary and medication adherence, and spouse communal coping was linked to better medication adherence. Perceived emotional responsiveness partially mediated the relations of communal coping to mood but not to self-care behaviors. Conclusions: Communal coping on a daily basis may help both patients and spouses adjust psychologically to the illness as well as enhance patient self-care behaviors.

Associations Between Perceived Race-based Discrimination and Contraceptive Use Among Women Veterans in the ECUUN Study.

OBJECTIVE: To describe perceived race-based discrimination in Veterans Affairs (VA) health care settings and assess its associations with contraceptive use among a sample of women Veterans. METHODOLOGY: This study used data from a national telephone survey of women Veterans aged 18-44 receiving health care in VA who were at risk of unintended pregnancy. Participants were asked about their perceptions of race-based discrimination while seeking VA health care and about their contraceptive use at last heterosexual intercourse. Logistic and multinomial regression analyses were used to examine associations between perceived race-based discrimination with use of prescription contraception. RESULTS: In our sample of 1341 women Veterans, 7.9% report perceived race-based discrimination when receiving VA care, with blacks and Hispanics reporting higher levels of perceived discrimination than white women (11.3% and 11.2% vs. 4.4%; P<0.001). In logistic and multinomial regression analyses adjusting for race/ethnicity, age, income, marital status, parity, and insurance, women who perceived race-based discrimination were less likely to use any prescription birth control than women who did not (odds ratio, 0.65; 95% confidence interval, 0.42-1.00), with the largest difference seen in rates of intrauterine device or implant use (odds ratio, 0.40; 95% confidence interval, 0.20-0.79). CONCLUSIONS: In this national sample of women Veterans, over 10% of racial/ethnic minority women perceived race-based discrimination when receiving care in VA settings, and perceived racial/ethnic discrimination was associated with lower likelihood of prescription contraception use, especially intrauterine devices and implants. VA efforts to enhance respectful interactions may not only improve patient health care experiences, but also represent an opportunity to improve reproductive health outcomes for women Veterans.

The Impact of Cognitive Stressors in the Emergency Department on Physician Implicit Racial Bias.

OBJECTIVES: The emergency department (ED) is characterized by stressors (e.g., fatigue, stress, time pressure, and complex decision-making) that can pose challenges to delivering high-quality, equitable care. Although it has been suggested that characteristics of the ED may exacerbate reliance on cognitive heuristics, no research has directly investigated whether stressors in the ED impact physician racial bias, a common heuristic. We seek to determine if physicians have different levels of implicit racial bias post-ED shift versus preshift and to examine associations between demographics and cognitive stressors with bias. METHODS: This repeated-measures study of resident physicians in a pediatric ED used electronic pre- and postshift assessments of implicit racial bias, demographics, and cognitive stressors. Implicit bias was measured using the Race Implicit Association Test (IAT). Linear regression models compared differences in IAT scores pre- to postshift and determined associations between participant demographics and cognitive stressors with postshift IAT and pre- to postshift difference scores. RESULTS: Participants (n = 91) displayed moderate prowhite/antiblack bias on preshift (mean ± SD = 0.50 ± 0.34, d = 1.48) and postshift (mean ± SD = 0.55 ± 0.39, d = 1.40) IAT scores. Overall, IAT scores did not differ preshift to postshift (mean increase = 0.05, 95% CI = -0.02 to 0.14, d = 0.13). Subanalyses revealed increased pre- to postshift bias among participants working when the ED was more overcrowded (mean increase = 0.09, 95% CI = 0.01 to 0.17, d = 0.24) and among those caring for >10 patients (mean increase = 0.17, 95% CI = 0.05 to 0.27, d = 0.47). Residents' demographics (including specialty), fatigue, busyness, stressfulness, and number of shifts were not associated with postshift IAT or difference scores. In multivariable models, ED overcrowding was associated with greater postshift bias (coefficient = 0.11 per 1 unit of NEDOCS score, SE = 0.05, 95% CI = 0.00 to 0.21). CONCLUSIONS: While resident implicit bias remained stable overall preshift to postshift, cognitive stressors (overcrowding and patient load) were associated with increased implicit bias. Physicians in the ED should be aware of how cognitive stressors may exacerbate implicit racial bias.