Background: We present the health inequalities analytic approach used by the Saskatoon Health Region to examine health equity. Our aim was to develop a method that will enable health regions to prioritize action on health inequalities.
Methods: Data from admissions to hospital, physician billing, reportable diseases, vital statistics and childhood immunizations in the city of Saskatoon were analyzed for the years ranging from 1995 to 2011. Data were aggregated to the dissemination area level. The Pampalon deprivation index was used as the measure of socioeconomic status. We calculated annual rates per 1000 people for each outcome. Rate ratios, rate differences, area-level concentration curves and area-level concentration coefficients quantified inequality. An Inequalities Prioritization Matrix was developed to prioritize action for the outcomes showing the greatest inequality. The outcomes measured were cancer, intentional self-harm, chronic obstructive pulmonary disease, mental illness, heart disease, diabetes, injury, stroke, chlamydia, tuberculosis, gonorrhea, hepatitis C, high birth weight, low birth weight, teen abortion, teen pregnancy, infant mortality and all-cause mortality.
Results: According to the Inequalities Prioritization Matrix, injuries and chronic obstructive pulmonary disease were the first and second priorities, respectively, that needed to be addressed related to inequalities in admissions to hospital. For physician billing, mental disorders and diabetes were high-priority areas. Differences in teen pregnancy and all-cause mortality were the most unequal in the vital statistics data. For communicable diseases, hepatitis C was the highest priority.
Interpretation: Our findings show that health inequalities exist at the local level and that a method can be developed to prioritize action on these inequalities. Policies should consider health inequalities and adopt population-based and targeted actions to reduce inequalities.
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http://dx.doi.org/10.9778/cmajo.20150049 | DOI Listing |
BMC Health Serv Res
January 2025
School of Humanities and Social Sciences, Beihang University, No. 37 Xueyuan Road, Beijing, 100191, China.
Background: To address the health inequity caused by decentralized management, China has introduced a provincial pooling system for urban employees' basic medical insurance. This paper proposes a research framework to evaluate similar policies in different contexts. This paper adopts a mixed-methods approach to more comprehensively and precisely capture the causal effects of the policy.
View Article and Find Full Text PDFArch Public Health
January 2025
Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Gran Via de les Corts Catalanes, 587 attic., Barcelona, 08007, Spain.
Objective: To analyze the sociostructural determinants associated with mental health problems during the lockdown period among populations residing in Brazil, Chile, Ecuador, Mexico, Peru, and Spain who lived with minors or dependents, approached from a gender perspective.
Methods: A cross-sectional study was conducted in six participating countries via an adapted, self-managed online survey. People living with minors and/or dependents were selected.
BMC Health Serv Res
January 2025
Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Background: Unwarranted clinical variation presents a major challenge in contemporary healthcare, indicating potential inequalities and inefficiencies, and unrealised potential for better outcomes. Despite an increasing focus on unwarranted clinical variation, and consideration of efforts to address this challenge, evidence-based strategies which achieve this are limited. Audit and feedback of healthcare processes (process auditing) and clinician engagement are important tools which may help to reduce unwarranted clinical variation, however their application in maternity care is yet to be thoroughly explored.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
Objectives: How are socioeconomic inequalities modified by, or how do they interact with, preterm birth?
Design: Narrative systematic review of quantitative observational studies of an interaction, or effect modification, between preterm birth and socioeconomic status.
Data Sources: Five databases were searched for studies published between January 2000 and June 2020. Title and abstract were reviewed to identify articles for dual screening.
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