Novel methods of qualitative analysis for health policy research

Policy Instruments for Health Promotion: A Comparison of WHO Policy Guidance for Tobacco, Alcohol, Nutrition and Physical Activity

BACKGROUND

Policy is an important element of influencing individual health-related behaviours associated to major risk factors for non-communicable diseases (NCDs) such as smoking, alcohol consumption, unhealthy eating and physical inactivity. However, our understanding of the specific measures recommended in NCD prevention policy-making remains limited. This study analysed recent World Health Organization (WHO) documents to identify common policy instruments suggested for national NCD prevention policy and to assess similarities and differences between policies targeting different health-related behaviours.

METHODS

Evert Vedung's typology of policy instruments, which differentiates between regulatory, economic/ fiscal and soft instruments, served as a basis for this analysis. A systematic search on WHO websites was conducted to identify documents relating to tobacco, alcohol, nutrition and physical activity. The staff of the respective units at the WHO Regional Office for Europe conducted an expert validation of these documents. The resulting documents were systematically searched for policy instruments. A word frequency analysis was conducted to estimate the use of individual instruments in the different policy fields, followed by an additional in-depth coding and content analysis by two independent reviewers.

RESULTS

Across all health-related behaviours, the following policy instruments were suggested most frequently in WHO guidance documents: laws, regulations, standards, taxes, prices, campaigns, recommendations, partnerships and coordination. The analysis showed that regulatory and economic/fiscal policy instruments are mainly applied in tobacco and alcohol policy, while soft instruments dominate in the fields of nutrition and especially physical activity.

CONCLUSION

The study confirms perceived differences regarding recommended policy instruments in the different policy fields and supports arguments that "harder" instruments still appear to be underutilized in nutrition and physical activity. However, more comprehensive research is needed, especially with respect to actual instrument use and effectiveness in national-level NCD prevention policy.

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.

Mining Early Life Risk and Resiliency Factors and Their Influences in Human Populations from PubMed: A Machine Learning Approach to Discover DOHaD Evidence

The Developmental Origins of Health and Disease (DOHaD) framework aims to understand how early life exposures shape lifecycle health. To date, no comprehensive list of these exposures and their interactions has been developed, which limits our ability to predict trajectories of risk and resiliency in humans. To address this gap, we developed a model that uses text-mining, machine learning, and natural language processing approaches to automate search, data extraction, and content analysis from DOHaD-related research articles available in PubMed. Our first model captured 2469 articles, which were subsequently categorised into topics based on word frequencies within the titles and abstracts. A manual screening validated 848 of these as relevant, which were used to develop a revised model that finally captured 2098 articles that largely fell under the most prominently researched domains related to our specific DOHaD focus. The articles were clustered according to latent topic extraction, and 23 experts in the field independently labelled the perceived topics. Consensus analysis on this labelling yielded mostly from fair to substantial agreement, which demonstrates that automated models can be developed to successfully retrieve and classify research literature, as a first step to gather evidence related to DOHaD risk and resilience factors that influence later life human health.

Structure of communities in semantic networks of biomedical research on disparities in health and sexism

Introducción.

Como una iniciativa para mejorar la calidad de la atención sanitaria, en la investigación biomédica se ha incrementado la tendencia centrada en el estudio de las disparidades en salud y sexismo.

Objetivo.

Caracterizar la evidencia científica sobre la disparidad en salud definida como la brecha existente entre la distribución de la salud y el posible sesgo por sexo en el acceso a los servicios médicos.

Materiales y métodos.

Se hizo una búsqueda simultánea de la literatura científica en la base de datos Medline PubMed de dos descriptores fundamentales: Healthcare disparities y Sexism. Posteriormente, se construyó una red semántica principal y se determinaron algunas subunidades estructurales (comunidades) para el análisis de los patrones de organización de la información. Se utilizó el programa de código abierto Cytoscape para el analisis y la visualización de las redes y el MapEquation, para la detección de comunidades. Asimismo, se desarrolló código ex profeso disponible en un repositorio de acceso público.

Resultados.

El corpus de la red principal mostró que los términos sobre las enfermedades del corazón fueron los descriptores de condiciones médicas más concurrentes. A partir de las subunidades estructurales, se determinaron los patrones de información relacionada con las políticas públicas, los servicios de salud, los factores sociales determinantes y los factores de riesgo, pero con cierta tendencia a mantenerse indirectamente conectados con los nodos relacionados con condiciones médicas.

Conclusiones.

La evidencia científica indica que la disparidad por sexo sí importa para la calidad de la atención de muchas enfermedades, especialmente aquellas relacionadas con el sistema circulatorio. Sin embargo, aún se percibe un distanciamiento entre los factores médicos y los sociales que dan lugar a las posibles disparidades por sexo.

Global health ethics: critical reflections on the contours of an emerging field, 1977-2015

BACKGROUND

The field of bioethics has evolved over the past half-century, incorporating new domains of inquiry that signal developments in health research, clinical practice, public health in its broadest sense and more recently sensitivity to the interdependence of global health and the environment. These extensions of the reach of bioethics are a welcome response to the growth of global health as a field of vital interest and activity.

METHODS

This paper provides a critical interpretive review of how the term "global health ethics" has been used and defined in the literature to date to identify ethical issues that arise and need to be addressed when deliberating on and working to improve the discourse on ethical issues in health globally.

RESULTS

Selected publications were analyzed by year of publication and geographical distribution, journal and field, level of engagement, and ethical framework. Of the literature selected, 151 articles (88%) were written by authors in high-income countries (HIC), as defined by the World Bank country classifications, 8 articles (5%) were written by authors in low- or middle-income countries (LMIC), and 13 articles (7%) were collaborations between authors in HIC and LMIC. All of the articles selected except one from 1977 were published after 1998. Literature on global health ethics spiked considerably from the early 2000s, with the highest number in 2011. One hundred twenty-seven articles identified were published in academic journals, 1 document was an official training document, and 44 were chapters in published books. The dominant journals were the American Journal of Bioethics (n = 10), Developing World Bioethics (n = 9), and Bioethics (n = 7). We coded the articles by level of engagement within the ethical domain at different levels: (1) interpersonal, (2) institutional, (3) international, and (4) structural. The ethical frameworks at use corresponded to four functional categories: those examining practical or narrowly applied ethical questions; those concerned with normative ethics; those examining an issue through a single philosophical tradition; and those comparing and contrasting insights from multiple ethical frameworks.

CONCLUSIONS

This critical interpretive review is intended to delineate the current contours and revitalize the conversation around the future charge of global health ethics scholarship.