Advancing health equity to improve health: the time is now

Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis

Health equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health inequities. As an important starting point for a comprehensive discussion, a detailed analysis of the literature corpus is thus desirable: we need to recognize what has been done, under what circumstances, even what possible sources of bias exist in our current discussion on this relevant issue. By finding these trends and biases we will be better equipped to modulate them and find avenues that may lead us to a more integrated view of health inequity, potentially enhancing our capabilities to intervene to ameliorate it. In this study, we characterized at a large scale, the social and cultural determinants most frequently reported in current global research of health inequity and the interrelationships among them in different populations under diverse contexts. We used a data/literature mining approach to the current literature followed by a semantic network analysis of the interrelationships discovered. The analyzed structured corpus consisted in circa 950 articles categorized by means of the Medical Subheadings (MeSH) content-descriptor from 2014 to 2021. Further analyses involved systematic searches in the LILACS and DOAJ databases, as additional sources. The use of data analytics techniques allowed us to find a number of non-trivial connections, pointed out to existing biases and under-represented issues and let us discuss what are the most relevant concepts that are (and are not) being discussed in the context of Health Equity and Culture.

Challenges and opportunities for public health made possible by advances in natural language processing

Natural language processing (NLP) is a subfield of artificial intelligence devoted to understanding and generation of language. The recent advances in NLP technologies are enabling rapid analysis of vast amounts of text, thereby creating opportunities for health research and evidence-informed decision making. The analysis and data extraction from scientific literature, technical reports, health records, social media, surveys, registries and other documents can support core public health functions including the enhancement of existing surveillance systems (e.g. through faster identification of diseases and risk factors/at-risk populations), disease prevention strategies (e.g. through more efficient evaluation of the safety and effectiveness of interventions) and health promotion efforts (e.g. by providing the ability to obtain expert-level answers to any health related question). NLP is emerging as an important tool that can assist public health authorities in decreasing the burden of health inequality/inequity in the population. The purpose of this paper is to provide some notable examples of both the potential applications and challenges of NLP use in public health.

The Relationship Between Income and Burn Incidence in Winnipeg, Manitoba, Canada: A Population Health Study

Burns continue to be a common cause of morbidity around the world, and socioeconomic status has been linked to high-burn risk in developed and developing countries. The purpose of this study was to define in Winnipeg, Manitoba, Canada: 1) demographics of adult patients with severe burns; 2) the relationship between household income and burn incidence; and 3) specific geographic areas that may benefit from targeted burn prevention strategies. We conducted a retrospective study of adult (>18 years) patients in Winnipeg, with burns severe enough to require at least 1 day of hospitalization between 2006 and 2016. Area-level median household income data at two geographic levels were collected from 2011 Census based on patient postal codes. Of 207 patients that met study criteria, 156 (75.4%) were male. Mean age was 44.5 ± 16.9 years, and the most common cause of burns was fire/flame (52.2%). The analysis of income data revealed that lower area-level income groups had a higher incidence of burns, with the lowest income quintile group having 5.4 times higher incidence than highest income quintile group. Spatial analysis software was used to map the incidence rates, and clusters of high-risk burns were identified in and around the city center region. Overall, our study showed an inverse relationship between area-level income and burn injury incidence. The identification and mapping of high incidence hotspots will allow policy makers to target groups who will benefit most from burn prevention strategies.

Assuming policy responsibility for health equity: local public health action in Ontario, Canada

In Canada's liberal welfare state the public is given little exposure by governmental authorities to the importance of promoting health equity through public policy action on the social determinants of health (SDoH). Not surprisingly, Canada lags in implementing health equity-enhancing public policy. In Ontario, Canada's most populous province, a local public health unit (PHU) took on the task of promoting health equity by developing the video animation Let's Start a Conversation about Health and Not Talk about Health Care at All. In the wake of this work, an additional 17 local PHUs (of 36) adapted it for local use. By placing these activities within Nutbeam's and de Leeuw's concepts of critical health literacy as an essential component of health promotion, we examine how these PHUs came to adopt the video, their intended uses, and supports and barriers encountered. These efforts by local PHUs to promote health equity through action on the SDoH have implications for those in jurisdictions where State attention to these issues is lacking.

At-a-glance - Bringing equity into the fold: a review of interventions to improve mental health

In Canada, it is challenging to find examples of positive population mental health interventions that meet scientific standards of evidence. It is even more difficult to identify effective interventions that address health equity. The discrepancy between standards of evidence in the health sciences, and the evidence that can be gleaned from social experiments, is not new. Efforts to reconcile these differences show a general tendency toward controlled interventions in public health. However, it is possible to extract findings from quasi-experimental interventions that meet scientific standards while also showing promise of positive impacts on mental health equity. This article describes work undertaken in 2015 to begin to address this evidence gap.