Skin Tone and Mexicans’ Perceptions of Discrimination in New Immigrant Destinations

Colorism literature examines how skin tone—alongside prototypical group features and hairstyles—correlates with socioeconomic, health, and political outcomes. Yet few studies have explicitly operationalized how skin tone shapes Latinos’ experiences of racialization in “new” U.S. destinations. Here, we draw on a large, representative sample of Mexican immigrants (N = 500) living in two large metropolitan areas (Atlanta and Philadelphia) to investigate how skin tone shapes their perceptions about the frequency and sources of discrimination. Even after controlling for demographic, economic, and immigration–specific factors, including ethnoracial self–identification, we show darker skin tone is significantly associated with higher reports of racial discrimination, discrimination specifically from U.S.-born Whites, and a stronger tendency to struggle internally in response. Together, these results support colorism literature’s argument that skin tone is distinct from race and offer new insights into how skin tone shapes the lived experiences of Mexican immigrants outside the U.S. Southwest.

Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty

This study explores how researchers' analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions as they used the same data to independently test the same prominent social science hypothesis: that greater immigration reduces support for social policies among the public. In this typical case of social science research, research teams reported both widely diverging numerical findings and substantive conclusions despite identical start conditions. Researchers' expertise, prior beliefs, and expectations barely predict the wide variation in research outcomes. More than 95% of the total variance in numerical results remains unexplained even after qualitative coding of all identifiable decisions in each team's workflow. This reveals a universe of uncertainty that remains hidden when considering a single study in isolation. The idiosyncratic nature of how researchers' results and conclusions varied is a previously underappreciated explanation for why many scientific hypotheses remain contested. These results call for greater epistemic humility and clarity in reporting scientific findings.

Clean Cut (adaptive, multimodal surgical infection prevention programme) for low-resource settings: a prospective quality improvement study

BACKGROUND

Clean Cut is an adaptive, multimodal programme to identify improvement opportunities and safety changes in surgery by enhancing outcomes surveillance, closing gaps in surgical infection prevention standards, and strengthening underlying processes of care. Surgical-site infections (SSIs) are common in low-income countries, so this study assessed a simple intervention to improve perioperative infection prevention practices in one.

METHODS

Clean Cut was implemented in five hospitals in Ethiopia from August 2016 to October 2018. Compliance data were collected from the operating room focused on six key perioperative infection prevention standards. Process-mapping exercises were employed to understand barriers to compliance and identify locally driven improvement opportunities. Thirty-day outcomes were recorded on patients for whom intraoperative compliance information had been collected.

RESULTS

Compliance data were collected from 2213 operations (374 at baseline and 1839 following process improvements) in 2202 patients. Follow-up was completed in 2159 patients (98·0 per cent). At baseline, perioperative teams complied with a mean of only 2·9 of the six critical perioperative infection prevention standards; following process improvement changes, compliance rose to a mean of 4·5 (P < 0·001). The relative risk of surgical infections after Clean Cut implementation was 0·65 (95 per cent c.i. 0·43 to 0·99; P = 0·043). Improved compliance with standards reduced the risk of postoperative infection by 46 per cent (relative risk 0·54, 95 per cent c.i. 0·30 to 0·97, for adherence score 3-6 versus 0-2; P = 0·038).

CONCLUSION

The Clean Cut programme improved infection prevention standards to reduce SSI without infrastructure expenses or resource investments.

Measuring the predictability of life outcomes with a scientific mass collaboration

How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly better than those from a simple benchmark model. Within each outcome, prediction error was strongly associated with the family being predicted and weakly associated with the technique used to generate the prediction. Overall, these results suggest practical limits to the predictability of life outcomes in some settings and illustrate the value of mass collaborations in the social sciences.

Seroprevalence of hepatitis C virus infection among indigent urban pregnant women in Zimbabwe

OBJECTIVE

To estimate the seroprevalence of hepatitis C virus (HCV) infection among indigent pregnant women.

DESIGN

A serological survey study of indigent pregnant women admitted for labour and delivery.

SETTING

Harare Maternity Hospital, Harare, Zimbabwe.

SUBJECTS

A random sample of 1,607 women, delivering at the hospital during the study period agreed to participate in the research. Serum samples were available for 1,591 women.

MAIN OUTCOME MEASURES

Serum samples were tested for the presence of antibodies to HCV using a second generation agglutination assay and a third generation enzyme immuno-assay (EIA).

RESULTS

Of the 1,591 women tested 25 (1.6%) were anti-HCV positive (95% confidence interval 1.0% to 2.2%). The frequency of anti-HCV positives was associated with maternal age (p = 0.0202) and maternal syphilis status (p = 0.020). Gravidas aged 25 to 29 years had the highest anti-HCV seroprevalence (3.4%) as compared with gravidas of other age categories (1.0% to 1.5%). Women with serologic evidence of syphilis infection during the index pregnancy had an increased prevalence of anti-HCV as compared with those women without evidence of syphilis infection (7.9% versus 1.4%, p = 0.020). There was some evidence (p = 0.094) that a positive prior history of delivering a stillborn infant was also associated with an increased prevalence of anti-HCV (4.1% vs 1.4%). Other maternal characteristics, including hepatitis B virus carriage status, parity, and whether she had received prenatal care during the index pregnancy were not determinants of maternal anti-HCV status.

CONCLUSIONS

Overall, hepatitis C antibody was detected in 1.6% of indigent women delivering at Harare Maternity Hospital. This proportion of anti-HCV positive pregnant women is similar to estimates published for North American and European women. Factors positively associated with maternal seropositivity in our population included maternal age (between 25 to 29 years), prior history of delivering a stillborn infant, and seropositivity for syphilis during the index pregnancy. Given the relatively low seroprevalence of HCV and the fact that risk factors for HCV infection remain largely unknown, more studies are needed to identify high risk populations likely to benefit from HCV screening and treatment programmes.

Hepatitis B virus infection among pregnant women delivering at Harare Maternity Hospital, Harare Zimbabwe, 1996 to 1997

OBJECTIVE

To determine the prevalence of hepatitis B virus (HBV) carrier and infectivity status among pregnant women delivering at Harare Maternity Hospital.

DESIGN

A serological survey study of pregnant women admitted for labour and delivery.

SETTING

Harare Maternity Hospital, Harare, Zimbabwe between June 1996 and June 1997.

SUBJECTS

A random sample of 1,000 women, delivering at the hospital during the study period agreed to participate in the study. Serum samples were available for 984 women.

MAIN OUTCOME MEASURES

HBV carriage status was determined by the presence of hepatitis B surface antigen (HBsAg) by enzyme immunoassay (EIA). Maternal HBV infectivity status was determined by testing all HBsAg positive women for the presence of hepatitis e surface antigen (HBeAg) using EIA.

RESULTS

Overall 246 (25%) women were identified as carriers of HBV (95% confidence interval 22 to 28%). The frequency of HBV carriers did not vary with maternal age, parity or marital status. Only a positive prior history of spontaneous abortion was associated with an increased prevalence of HBV carriage status. Eight of the 246 (3.3%) women identified as HBV carriers tested positive for HBeAg. Hence, 0.8% of the entire study population was found to be at high risk of transmitting HBV to their newborns.

CONCLUSIONS

Our results demonstrate a high prevalence of HBV carriage among women giving birth at Harare Maternity Hospital. None of the demographic variables studied were important predictors of HBV carriage status. The high carriage rate and low infectivity rates suggest that HBV infection is likely to be acquired by horizontal, rather than by vertical means of transmission. Given the scarcity of financial resources, routine testing of mothers for HBsAg may not be feasible. Our results suggest, however, that mass vaccination of all infants, irrespective of maternal HBV carriage status, may be the most effective approach to HBV prevention and control in Zimbabwe.