Strengths-Based Nursing and Healthcare Leadership: An Approach to Minimize the Rate of Burnout in Healthcare

Healthcare workers, especially nurses, are susceptible to burnout at more prevalent rates than the rest of the population. We argue that one way to mitigate rates of burnout in healthcare is by putting a spotlight on the Strengths-Based Nursing and Healthcare Leadership (SBNH-L) approach. Literature on SBNH-L is in its infancy, and no literature to date has looked at this leadership approach in relation to burnout. This study aimed to understand how SBNH-L can foster a culture of inclusion in nursing (and healthcare) and how this can be reflected in the rates of burnout among nurses and other healthcare employees. We surveyed 357 healthcare workers in Canada (144 of whom were nurses) using the AskingCanadians online data collection service. The participants were asked to complete the SBNH-L questionnaire in relation to their manager, a perceived inclusion questionnaire and a self-rated burnout questionnaire. To analyze the data, we conducted a mediation analysis using the PROCESS macro on SPSS. The results showed that inclusion partially mediated the relationship between SBNH-L and emotional exhaustion in the full healthcare sample. These results contribute to findings on the newly developed leadership approach of SBNH-L. They also extend into the clinical world to provide insight into inclusion as a mechanism to mitigate burnout rates

A multilab study of bilingual infants: Exploring the preference for infant-directed speech

From the earliest months of life, infants prefer listening to and learn better from infant-directed speech (IDS) compared with adult-directed speech (ADS). Yet IDS differs within communities, across languages, and across cultures, both in form and in prevalence. This large-scale, multisite study used the diversity of bilingual infant experiences to explore the impact of different types of linguistic experience on infants’ IDS preference. As part of the multilab ManyBabies 1 project, we compared preference for North American English (NAE) IDS in lab-matched samples of 333 bilingual and 384 monolingual infants tested in 17 labs in seven countries. The tested infants were in two age groups: 6 to 9 months and 12 to 15 months. We found that bilingual and monolingual infants both preferred IDS to ADS, and the two groups did not differ in terms of the overall magnitude of this preference. However, among bilingual infants who were acquiring NAE as a native language, greater exposure to NAE was associated with a stronger IDS preference. These findings extend the previous finding from ManyBabies 1 that monolinguals learning NAE as a native language showed a stronger IDS preference than infants unexposed to NAE. Together, our findings indicate that IDS preference likely makes similar contributions to monolingual and bilingual development, and that infants are exquisitely sensitive to the nature and frequency of different types of language input in their early environments

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements