Race and Gender-Based Perceptions of Older Septuagenarian Adults.

Objectives: Older adults face racism, sexism, and ageism. As the U.S. population ages, it is important to understand how the current population views older adults. Methods: Participants recruited through Amazon's Mechanical Turk provided perceptions of older Black and White models' photographs. Using mixed-effect models, we assessed interactions between race and gender of participants and models. Results: Among Participants of Color and White participants (n = 712, 70% non-Hispanic White, 70% women, mean 37.81 years), Black models were perceived as more attractive, less threatening, and sadder than White models, but differences were greater for White participants (race-by-race interaction: attractive p = 0.003, threatening p = 0.009, sad p = 0.016). Each gender perceived their respective gender as more attractive (gender-by-gender interaction p < 0.0001). Male and female participants perceived male models as happier than female models, but differences were greater for male participants (p = 0.026). Irrespective of participant age group, women were perceived as more threatening (p = 0.012). Other perceptions were not significant. Discussion: Participants had few biases toward older Black and White models, while gender biases favored men.

Race and Gender-Based Perceptions of Older Adults: Will the Youth Lead the Way?

BACKGROUND: Older individuals encounter the greatest racial/gender biases. It is unknown whether younger generations, who often lead culture shifts, have racial and gender biases against older populations. METHODS: Using Amazon's Mechanical Turk's crowdsourcing, we identified how an individual's race and gender are associated with perceptions of individuals aged mid-60s. Participants were asked to rate photograph appearances on Likert Scale (1-10). Interactions between participant and photograph race and gender were assessed with mixed effects models. Delta represents rating differences (positive value higher rating for Whites or women, negative value higher rating for African-Americans or men). RESULTS: Among 1563 participants (mean 35 years ± 12), both non-Hispanic White (WP) and all Other race/ethnicity (OP) participants perceived African-American photos as more trustworthy [Delta WP -0.60(95%CI-0.83, - 0.37); Delta OP - 0.51(- 0.74,-0.28), interaction p = 0.06], more attractive [Delta non-Hispanic White participants - 0.63(- 0.97, - 0.29); Delta Other race/ethnicity participants - 0.40 (- 0.74, - 0.28), interaction p < 0.001], healthier [Delta WP -0.31(- 0.53, - 0.08); Delta OP -0.24(- 0.45, -0.03), interaction p = 1.00], and less threatening than White photos [Delta WP 0.79(0.36,1.22); Delta OP 0.60(0.17,1.03), interaction p < 0.001]. Compared with OP, WP perceived African-American photos more favorably for intelligence (interaction p < 0.001). Both genders perceived photos of women as more trustworthy [Delta Women Participants (WmP) 0.50(0.27,0.73); Delta Men Participants(MnP) 0.31(0.08,0.54); interaction p < 0.001] and men as more threatening [Delta WmP -0.84(-1.27, -0.41), Delta MnP - 0.77(- 1.20, - 0.34), interaction p = 0.93]. Compared with MnP, WmP perceived photos of women as happier and more attractive than men (interaction p < 0.001). Compared with WmP, MnP perceived men as healthier than women (interaction p < 0.001). CONCLUSIONS: Among a young generation, older African-Americans were perceived more favorably than Whites. Gender perceptions followed gender norms. This suggests a decline in implicit bias against older minorities, but gender biases persist. Future work should investigate whether similar patterns are observed in healthcare.

Association of Gender and Race With Allocation of Advanced Heart Failure Therapies.

Importance: Racial bias is associated with the allocation of advanced heart failure therapies, heart transplants, and ventricular assist devices. It is unknown whether gender and racial biases are associated with the allocation of advanced therapies among women. Objective: To determine whether the intersection of patient gender and race is associated with the decision-making of clinicians during the allocation of advanced heart failure therapies. Design, Setting, and Participants: In this qualitative study, 46 US clinicians attending a conference for an international heart transplant organization in April 2019 were interviewed on the allocation of advanced heart failure therapies. Participants were randomized to examine clinical vignettes that varied 1:1 by patient race (African American to white) and 20:3 by gender (women to men) to purposefully target vignettes of women patients to compare with a prior study of vignettes of men patients. Participants were interviewed about their decision-making process using the think-aloud technique and provided supplemental surveys. Interviews were analyzed using grounded theory methodology, and surveys were analyzed with Wilcoxon tests. Exposure: Randomization to clinical vignettes. Main Outcomes and Measures: Thematic differences in allocation of advanced therapies by patient race and gender. Results: Among 46 participants (24 [52%] women, 20 [43%] racial minority), participants were randomized to the vignette of a white woman (20 participants [43%]), an African American woman (20 participants [43%]), a white man (3 participants [7%]), and an African American man (3 participants [7%]). Allocation differences centered on 5 themes. First, clinicians critiqued the appearance of the women more harshly than the men as part of their overall impressions. Second, the African American man was perceived as experiencing more severe illness than individuals from other racial and gender groups. Third, there was more concern regarding appropriateness of prior care of the African American woman compared with the white woman. Fourth, there were greater concerns about adequacy of social support for the women than for the men. Children were perceived as liabilities for women, particularly the African American woman. Family dynamics and finances were perceived to be greater concerns for the African American woman than for individuals in the other vignettes; spouses were deemed inadequate support for women. Last, participants recommended ventricular assist devices over transplantation for all racial and gender groups. Surveys revealed no statistically significant differences in allocation recommendations for African American and white women patients. Conclusions and Relevance: This national study of health care professionals randomized to clinical vignettes that varied only by gender and race found evidence of gender and race bias in the decision-making process for offering advanced therapies for heart failure, particularly for African American women patients, who were judged more harshly by appearance and adequacy of social support. There was no associated between patient gender and race and final recommendations for allocation of advanced therapies. However, it is possible that bias may contribute to delayed allocation and ultimately inequity in the allocation of advanced therapies in a clinical setting.

Does Race Influence Decision Making for Advanced Heart Failure Therapies?

Background Race influences medical decision making, but its impact on advanced heart failure therapy allocation is unknown. We sought to determine whether patient race influences allocation of advanced heart failure therapies. Methods and Results Members of a national heart failure organization were randomized to clinical vignettes that varied by patient race (black or white man) and were blinded to study objectives. Participants (N=422) completed Likert scale surveys rating factors for advanced therapy allocation and think-aloud interviews (n=44). Survey results were analyzed by least absolute shrinkage and selection operator and multivariable regression to identify factors influencing advanced therapy allocation, including interactions with vignette race and participant demographics. Interviews were analyzed using grounded theory. Surveys revealed no differences in overall racial ratings for advanced therapies. Least absolute shrinkage and selection operator regression selected no interactions between vignette race and clinical factors as important in allocation. However, interactions between participants aged ≥40 years and black vignette negatively influenced heart transplant allocation modestly (-0.58; 95% CI, -1.15 to -0.0002), with adherence and social history the most influential factors. Interviews revealed sequential decision making: forming overall impression, identifying urgency, evaluating prior care appropriateness, anticipating challenges, and evaluating trust while making recommendations. Race influenced each step: avoiding discussing race, believing photographs may contribute to racial bias, believing the black man was sicker compared with the white man, developing greater concern for trust and adherence with the black man, and ultimately offering the white man transplantation and the black man ventricular assist device implantation. Conclusions Black race modestly influenced decision making for heart transplant, particularly during conversations. Because advanced therapy selection meetings are conversations rather than surveys, allocation may be vulnerable to racial bias.

A Fully Automated High-Throughput Zebrafish Behavioral Ototoxicity Assay.

Zebrafish animal models lend themselves to behavioral assays that can facilitate rapid screening of ototoxic, otoprotective, and otoregenerative drugs. Structurally similar to human inner ear hair cells, the mechanosensory hair cells on their lateral line allow the zebrafish to sense water flow and orient head-to-current in a behavior called rheotaxis. This rheotaxis behavior deteriorates in a dose-dependent manner with increased exposure to the ototoxin cisplatin, thereby establishing itself as an excellent biomarker for anatomic damage to lateral line hair cells. Building on work by our group and others, we have built a new, fully automated high-throughput behavioral assay system that uses automated image analysis techniques to quantify rheotaxis behavior. This novel system consists of a custom-designed swimming apparatus and imaging system consisting of network-controlled Raspberry Pi microcomputers capturing infrared video. Automated analysis techniques detect individual zebrafish, compute their orientation, and quantify the rheotaxis behavior of a zebrafish test population, producing a powerful, high-throughput behavioral assay. Using our fully automated biological assay to test a standardized ototoxic dose of cisplatin against varying doses of compounds that protect or regenerate hair cells may facilitate rapid translation of candidate drugs into preclinical mammalian models of hearing loss.