Objectives: To examine the association between income inequality and the risk of mortality and readmission within 30 days of hospitalization.
Design: Retrospective cohort study of Medicare beneficiaries in the United States. Hierarchical, logistic regression models were developed to estimate the association between income inequality (measured at the US state level) and a patient's risk of mortality and readmission, while sequentially controlling for patient, hospital, other state, and patient socioeconomic characteristics. We considered a 0.05 unit increase in the Gini coefficient as a measure of income inequality.
Setting: US acute care hospitals.
Participants: Patients aged 65 years and older, and hospitalized in 2006-08 with a principal diagnosis of acute myocardial infarction, heart failure, or pneumonia.
Main Outcome Measures: Risk of death within 30 days of admission or rehospitalization for any cause within 30 days of discharge. The potential number of excess deaths and readmissions associated with higher levels of inequality in US states in the three highest quarters of income inequality were compared with corresponding data in US states in the lowest quarter.
Results: Mortality analyses included 555,962 admissions (4348 hospitals) for acute myocardial infarction, 1,092,285 (4484) for heart failure, and 1,146,414 (4520); readmission analyses included 553,037 (4262), 1,345,909 (4494), and 1,345,909 (4524) admissions, respectively. In 2006-08, income inequality in US states (as measured by the average Gini coefficient over three years) varied from 0.41 in Utah to 0.50 in New York. Multilevel models showed no significant association between income inequality and mortality within 30 days of admission for patients with acute myocardial infarction, heart failure, or pneumonia. By contrast, income inequality was associated with rehospitalization (acute myocardial infarction, risk ratio 1.09 (95% confidence interval 1.03 to 1.15), heart failure 1.07 (1.01 to 1.12), pneumonia 1.09 (1.03 to 1.15)). Further adjustment for individual income and educational achievement did not significantly attenuate these findings. Over the three year period, we estimate an excess of 7153 (2297 to 11,733) readmissions for acute myocardial infarction, 17,991 (3410 to 31,772) for heart failure, and 14,127 (4617 to 23,115) for pneumonia, that are associated with inequality levels in US states in the three highest quarters of income inequality, compared with US states in the lowest quarter.
Conclusions: Among patients hospitalized with acute myocardial infarction, heart failure, and pneumonia, exposure to higher levels of income inequality was associated with increased risk of readmission but not mortality. In view of the observational design of the study, these findings could be biased, owing to residual confounding.
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http://dx.doi.org/10.1136/bmj.f521 | DOI Listing |
Indian J Psychiatry
December 2024
Department of Psychiatry, Postgraduate Institute of Medical Education and Research Satellite Centre, Sangrur, Punjab, India.
Background: Stigma against persons living with substance use disorders (PLSUD) fosters social and health inequities.
Aim: We aimed to map different populations targeted by antistigma interventions, analyze specific characteristics of these interventions, and identify and categorize the theoretical frameworks used in these interventions.
Methods: We examined randomized controlled trials and quasi or pre-experimental studies targeting stigma against PLSUD.
Disaster Med Public Health Prep
January 2025
Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul, South Korea.
Objective: Disasters often have long-lasting effects on the mental health of people affected by them. This study aimed to examine the trajectories and predictors of mental health in people affected by disasters according to their income level.
Method: This study used data from the "Long-Term Survey on the Change of Life of Disaster Victim" conducted by the National Disaster Management Research Institute.
Community Health Equity Res Policy
January 2025
School of Health Policy and Management, York University, Toronto, ON, Canada.
While consensus exists that the sources of health inequalities are social inequalities brought on by the experience of qualitatively different living and working conditions, means of addressing these conditions continue to be the subject of dispute. Whether to emphasis education or income as asocial determinant of health is one such example of differing views on the sources of these inequalities and the means of addressing them. These different emphases are often justified through the narrow examination of the magnitude of statistical relationships between educational attainment and income with health outcomes.
View Article and Find Full Text PDFBMC 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 PDFHealth Place
January 2025
Harvard University, Social and Behavioral Sciences, 677 Huntington Ave, Boston, MA, 02215, USA. Electronic address:
Scholars have documented the lasting impact of childhood socioeconomic status (SES) on health, but few studies have considered how state contexts in childhood shape health trajectories based on childhood SES across the life course. The current project uses data from the Panel Study of Income Dynamics, 2009-2021 (N = 18,227 person-year observations of adults aged 18-41) to build on these studies by 1) examining state variation in the relationship between childhood SES and adult self-rated health, and 2) assessing the contributions of childhood state-level economic context in moderating this relationship. Logistic regression models first confirmed the expected relationship between childhood SES and adult self-rated health that parallels other literature (OR = 1.
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