Embedding anti-racism in Schools of Public Health: a pathway to accountability for progress towards equity.

The importance of seeing race as a socially constructed idea continues to produce unfair differences between humans and establishes power relations that lead to injustice and exposure to death. Since the racial justice movement in early 2020, there has been a heightened awareness of, and increased interest in, addressing historic racial disparities across Schools of Public Health (SPH) in Canada. Steps have been taken to recognize systemic racism and increase diversity through structural reforms to advance equity and inclusion; however, addressing racism demands collectively uprooting racist institutional designs still inherent in learning, teaching, research, service, and community engagement. This commentary highlights the need for sustained commitment to establishing longitudinal benchmarks for greater racial equity among students, staff, and faculty; revising curricula to include historic and contemporary narratives of colonialism and slavery; and providing community-engaged learning opportunities as instrumental to dismantle systemic drivers of racial health inequities locally and globally. We also advocate for intersectoral collaboration, mutual learning, and sharing of resources across SPH and partner agencies to accomplish a continual collective agenda for racial health equity and inclusion that is intersectional in Canada, while being held accountable to Indigenous and racialized communities.

RéSUMé: L'importance de voir la race comme une idée socialement construite continue de produire des différences inéquitables entre les gens et d'établir des relations de pouvoir qui mènent à l'injustice et à l'exposition à la mort. Depuis que le mouvement pour la justice raciale s'est enclenché au début de 2020, il existe une conscience aiguë des disparités raciales historiques entre les écoles de santé publique (ESP) du Canada et un intérêt accru pour le redressement de ces disparités. Des mesures ont été prises pour reconnaître le racisme systémique et accroître la diversité par des réformes structurelles visant à promouvoir l'équité et l'inclusion; cependant, pour aborder le racisme, il faut collectivement arracher les modèles institutionnels racistes qui font encore partie intégrante de l'apprentissage, de l'enseignement, de la recherche, des services et de la participation de la communauté. Dans notre commentaire, nous soulignons le besoin d'un engagement soutenu à établir des repères longitudinaux pour une plus grande équité raciale dans la population étudiante, au sein du personnel et dans le corps professoral, à revoir les programmes d'études pour y inclure les discours historiques et contemporains du colonialisme et de l'esclavage, et à offrir des possibilités d'enseignement faisant appel aux communautés, car elles contribueront à démanteler les moteurs systémiques des iniquités raciales en santé à l'échelle locale et mondiale. Nous promulguons aussi la collaboration intersectorielle, l'apprentissage mutuel et le partage des ressources entre les ESP et les organismes partenaires afin de concrétiser un plan d'action collective continue en faveur de l'équité raciale en santé et de l'inclusion ­ un plan qui sera intersectionnel au Canada et qui rendra des comptes aux communautés autochtones et racisées.

The science of trust: future directions, research gaps, and implications for health and risk communication.

'Trust is among the most important factors in human life, as it pervades' all domains of society [1] and related decision-making processes. This includes people's trust in science, and in clinical and public health solutions. Unequivocally, community and patient trust are foundational to the adoption and maintenance of health-related behaviors, social norms, and policies. Yet, trust has to be earned and developed over time and through multiple interactions. Trust is about dialogue and human connection. It's about listening and knowing that one interaction will not be enough to build trust. It is also influenced by a variety of social, economic, cultural, and political factors, past experiences, and the history of specific communities and patient groups. It should be at the core of the health and social systems with which people interact. More recently, trust in evidence-based information has also been affected by misinformation, not only on social media but also in a variety of community, institutional, and patient settings. Ultimately, we are in the midst of a global trust crisis that precedes the COVID-19 pandemic and is often rooted in the health, racial, and social inequities many groups experience [2].

Assessing the Electronic Evidence System Needs of Canadian Public Health Professionals: Cross-sectional Study.

BACKGROUND: True evidence-informed decision-making in public health relies on incorporating evidence from a number of sources in addition to traditional scientific evidence. Lack of access to these types of data as well as ease of use and interpretability of scientific evidence contribute to limited uptake of evidence-informed decision-making in practice. An electronic evidence system that includes multiple sources of evidence and potentially novel computational processing approaches or artificial intelligence holds promise as a solution to overcoming barriers to evidence-informed decision-making in public health. OBJECTIVE: This study aims to understand the needs and preferences for an electronic evidence system among public health professionals in Canada. METHODS: An invitation to participate in an anonymous web-based survey was distributed via listservs of 2 Canadian public health organizations in February 2019. Eligible participants were English- or French-speaking individuals currently working in public health. The survey contained both multiple-choice and open-ended questions about the needs and preferences relevant to an electronic evidence system. Quantitative responses were analyzed to explore differences by public health role. Inductive and deductive analysis methods were used to code and interpret the qualitative data. Ethics review was not required by the host institution. RESULTS: Respondents (N=371) were heterogeneous, spanning organizations, positions, and areas of practice within public health. Nearly all (364/371, 98.1%) respondents indicated that an electronic evidence system would support their work. Respondents had high preferences for local contextual data, research and intervention evidence, and information about human and financial resources. Qualitative analyses identified several concerns, needs, and suggestions for the development of such a system. Concerns ranged from the personal use of such a system to the ability of their organization to use such a system. Recognized needs spanned the different sources of evidence, including local context, research and intervention evidence, and resources and tools. Additional suggestions were identified to improve system usability. CONCLUSIONS: Canadian public health professionals have positive perceptions toward an electronic evidence system that would bring together evidence from the local context, scientific research, and resources. Elements were also identified to increase the usability of an electronic evidence system.

Re-envisioning health promotion: Thinking and acting salutogenically towards equity for historically resilient communities.

This paper explores how the salutogenic theory can enable us to re-envision health promotion work with marginalized communities, towards an approach that acknowledges and honours their resilience. We use the three core concepts in Antonovsky's salutogenic model of health - sense of coherence, generalized resistance resources and specific resistance resources - to explore the theory's relevance to health equity, thus presenting new opportunities for how we might radically re-evaluate current health promotion approaches. We conclude that a more equitable health promotion requires increased participation of marginalized communities in shaping their futures and suggest a new model for historically grounded salutogenic health promotion.

Black Lives Matter in health promotion: moving from unspoken to outspoken.

Racism is a public health crisis. Black communities (including Africans, the African diaspora and people of African descent) experience worse health outcomes as demonstrated by almost any measure of health and wellbeing-e.g. life expectancy; disease prevalence; maternal mortality rates. While health promotion has its foundation in promoting equity and social justice, it is clear that however well-intended, we are not affecting meaningful change for Black communities quickly enough. Through this article, we outline the intersection of social determinants of health and anti-Black racism. We describe how in the first 8 months of 2020 Black communities around the globe have been disproportionately affected by COVID-19, while also having to respond to new instances of police brutality. We assert that the time has come for health promotion to stop neutralizing the specific needs of Black communities into unspoken 'good intentions'. Instead, we offer some concrete ways for the field to become outspoken, intentional and honest in acknowledging what it will take to radically shift how we promote health and wellbeing for Black people.

A systematic review of aberration detection algorithms used in public health surveillance.

The algorithms used for detecting anomalies have evolved substantially over the last decade to take advantage of advances in informatics and to accommodate changes in surveillance data. We identified 145 studies since 2007 that evaluated statistical methods used to detect aberrations in public health surveillance data. For each study, we classified the analytic methods and reviewed the evaluation metrics. We also summarized the practical usage of the detection algorithms in public health surveillance systems worldwide. Traditional methods (e.g., control charts, linear regressions) were the focus of most evaluation studies and continue to be used commonly in practice. There was, however, an increase in the number of studies using forecasting methods and studies applying machine learning methods, hidden Markov models, and Bayesian framework to multivariate datasets. Evaluation studies demonstrated improved accuracy with more sophisticated methods, but these methods do not appear to be used widely in public health practice.