Background: COVID-19 is impacting people worldwide and is currently a leading cause of death in many countries. Underlying factors, including Social Determinants of Health (SDoH), could contribute to these statistics. Our prior work has explored associations between SDoH and several adverse health outcomes (eg, asthma and obesity). Our findings reinforce the emerging consensus that SDoH factors should be considered when implementing intelligent public health surveillance solutions to inform public health policies and interventions.
Objective: This study sought to redefine the Healthy People 2030's SDoH taxonomy to accommodate the COVID-19 pandemic. Furthermore, we aim to provide a blueprint and implement a prototype for the Urban Population Health Observatory (UPHO), a web-based platform that integrates classified group-level SDoH indicators to individual- and aggregate-level population health data.
Methods: The process of building the UPHO involves collecting and integrating data from several sources, classifying the collected data into drivers and outcomes, incorporating data science techniques for calculating measurable indicators from the raw variables, and studying the extent to which interventions are identified or developed to mitigate drivers that lead to the undesired outcomes.
Results: We generated and classified the indicators of social determinants of health, which are linked to COVID-19. To display the functionalities of the UPHO platform, we presented a prototype design to demonstrate its features. We provided a use case scenario for 4 different users.
Conclusions: UPHO serves as an apparatus for implementing effective interventions and can be adopted as a global platform for chronic and infectious diseases. The UPHO surveillance platform provides a novel approach and novel insights into immediate and long-term health policy responses to the COVID-19 pandemic and other future public health crises. The UPHO assists public health organizations and policymakers in their efforts in reducing health disparities, achieving health equity, and improving urban population health.
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http://dx.doi.org/10.2196/28269 | DOI Listing |
BJOG
January 2025
Women's, Children's and Adolescents' Health Program, Burnet Institute, Melbourne, Australia.
Background: Evidence suggests L-arginine may be effective at reducing pre-eclampsia and related outcomes. However, whether L-arginine can prevent or only treat pre-eclampsia, and thus the target population and timing of initiation, remains unknown.
Objectives: To evaluate the effects of L-arginine and L-citrulline (precursor of L-arginine) on the prevention and treatment of pre-eclampsia.
Med J Aust
January 2025
Sydney School of Public Health, the University of Sydney, Sydney, NSW.
Objectives: To assess the impact of the transition from film to digital mammography in the Australian national breast cancer screening program.
Study Design: Retrospective linked population health data analysis (New South Wales Central Cancer Registry, BreastScreen NSW); interrupted time series analysis.
Setting: New South Wales, 2002-2016.
Australas J Dermatol
January 2025
The Frazer Institute, The University of Queensland, Brisbane, Queensland, Australia.
Background: Recent Australian trends indicate that shave biopsies for diagnosing lesions suspicious of melanoma are increasing, yet reasons for this remain relatively unknown. We sought to understand which factors influence Australian clinicians' use of shave biopsy for managing thin lesions suspicious of melanoma in sites of low cosmetic sensitivity.
Methods: We used a convergent, exploratory mixed-methods design, with a cross-sectional online survey (n = 59) and semi-structured qualitative interviews (n = 15).
JMIR Med Inform
January 2025
Department of Medical Informatics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for self-management, which support individuals to take charge of their own health. The usability of DHS, as experienced by patients, is pivotal to adoption.
View Article and Find Full Text PDFSchizophr Bull
January 2025
Orygen, Parkville, Victoria 3052, Australia.
Background: Although attention deficit hyperactivity disorder (ADHD) is known to be common in psychotic disorders, reported prevalence rates vary widely, with limited understanding of how different factors (eg, assessment methods, geographical region) may be associated with this variation. The aim was to conduct a systematic review and meta-analysis to determine the prevalence of ADHD in psychotic disorders and factors associated with the variability in reported rates.
Study Design: Searches were conducted in MEDLINE, Embase, PsycINFO, CINAHL, and Scopus in May 2023.
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