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INTRODUCTION: Globally, maternal morbidity and mortality have increased during the COVID-19 pandemic. Given the high burden of maternal and neonatal mortality in Kenya prior to COVID-19, front line health workers, including nurse-midwives, must be competent to ensure continued quality maternal services. Knowledge and awareness of COVID-19 transmission influence nurse-midwives risk perception and ability to implement prevention strategies. OBJECTIVE: We examined nurse-midwives' knowledge, attitudes, and preparedness in managing pregnant and postpartum women with COVID-19 in Kenya. METHODS: A cross-sectional online survey was conducted among 118 nurse-midwives between July 2020 and November 2020. A 31-item survey comprising 15 knowledge, 11 attitude, and five preparedness questions was administered using SurveyMonkey. A link to the survey was distributed among nurse-midwives via email. Multiple logistic regression analysis was used to assess associations between the variables. A p-value <.05 was considered statistically significant. RESULTS: Eighty-five participants were included in the final analysis (response rate 72%). Most participants were female (n = 69, 81.2%), 52.9% (n = 45) worked in labor wards, and 57.6% (n = 49) worked in rural hospitals. Overall, 71% (n = 57) of participants had sufficient knowledge about managing COVID-19 in pregnant and postpartum women. However, only 63% were willing to receive COVID-19 vaccination. Nurse-midwives working in urban areas were 3.7 times more likely to have positive attitudes than those in rural areas (odds ratio 3.724, 95% confidence interval 1.042–13.31; p = .043). CONCLUSION: Nurse-midwives' responses to the Kenyan government's COVID-19 guidelines for managing and caring for pregnant women were inconsistent. Continued professional development for nurse-midwives is important to ensure they stay abreast of evolving COVID-19 guidelines for maternal health. Our findings also suggest vaccine hesitancy may be a hurdle for ongoing COVID-19 vaccination.

An experiment examined how veracity, modality, and experimenter sanctioning of deception influenced credibility assessments made by professionals who conducted interviews face-to-face (FtF) or by video conference (VC). Participants ( N = 243) completed a trivia game with a confederate who encouraged cheating. Some lies were sanctioned by the experimenter and others were unsanctioned. The professional interviewers educed a high number of confessions in the sanctioned (58%) and unsanctioned (79%) lie conditions. Overall accuracy of the interviewers ranged from 45% to 67%. Interviewers were more accurate when judging veracity FtF than in VC. Those in the deceptive VC conditions (especially sanctioned liars) were rated by interviewers as more dominant, involved, relaxed, and active than those in the FtF condition, revealing that modality affected deceivers' demeanor.

This paper examines how power differences and deception jointly influence interactional dominance, credibility, and the outcomes of decision-making. Two theories, interpersonal deception theory and dyadic power theory, were merged to produce hypotheses about the effects of power and deception. A 3 (power: unequal-high, unequal-low, equal) × 3 (deception: truth-truth, truthful with deceptive partner, deceptive with truthful partner) experiment ( N = 120) was conducted in which participants were asked to make a series of mock hiring decisions. Actor-partner analyses revealed that participants in the deception condition reported a significant increase in perceptions of their own power whereas their truthful partners reported a significant decrease in perceptions of their own power. Further, interactional dominance fostered credibility and goal attainment (i.e., making the best hiring decision in the truthful condition and hiring a friend in the deceptive condition) for both truth-tellers and deceivers.

For nanotechnology to meet its potential as a game-changing and sustainable technology, it is important to ensure that the engineered nanomaterials and nanoenabled products that gain entry to the marketplace are safe and effective. Tools and methods are needed for regulatory purposes to allow rapid material categorization according to human health and environmental risk potential, so that materials of high concern can be targeted for additional scrutiny, while material categories that pose the least risk can receive expedited review. Using carbon nanotubes as an example, we discuss how data from alternative testing strategies can be used to facilitate engineered nanomaterial categorization according to risk potential and how such an approach could facilitate regulatory decision-making in the future.

For nanotechnology to meet its potential as a game-changing and sustainable technology, it is important to ensure that the engineered nanomaterials and nanoenabled products that gain entry to the marketplace are safe and effective. Tools and methods are needed for regulatory purposes to allow rapid material categorization according to human health and environmental risk potential, so that materials of high concern can be targeted for additional scrutiny, while material categories that pose the least risk can receive expedited review. Using carbon nanotubes as an example, we discuss how data from alternative testing strategies can be used to facilitate engineered nanomaterial categorization according to risk potential and how such an approach could facilitate regulatory decision-making in the future.