Objectives: We examined disparities in health insurance coverage for racial/ethnic minorities in same-sex relationships.
Methods: We used data from the 2009 to 2011 American Community Survey on nonelderly adults (aged 25-64 years) in same-sex (n = 32 744), married opposite-sex (n = 2 866 636), and unmarried opposite-sex (n = 268 298) relationships. We used multinomial logistic regression models to compare differences in the primary source of health insurance while controlling for key demographic and socioeconomic factors.
Results: Adults of all races/ethnicities in same-sex relationships were less likely than were White adults in married opposite-sex relationships to report having employer-sponsored health insurance. Hispanic men, Black women, and American Indian/Alaska Native women in same-sex relationships were much less likely to have employer-sponsored health insurance than were their White counterparts in married opposite-sex relationships and their White counterparts in same-sex relationships.
Conclusions: Differences in coverage by relationship type and race/ethnicity may worsen over time as states follow different paths to implementing health care reform and same-sex marriage.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431100 | PMC |
| http://dx.doi.org/10.2105/AJPH.2014.302459 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Surgical Scheduling Errors During Manual Data Transfer.
Qual Manag Health Care
January 2025
Author Affiliations: Source Healthcare, Santa Monica, California.
Background And Objectives: Retrospective studies examining errors within a surgical scheduling setting do not fully represent the effects of human error involved in transcribing critical patient health information (PHI). These errors can negatively impact patient care and reduce workplace efficiency due to insurance claim denials and potential sentinel events. Previous reports underscore the burden physicians face with prior authorizations which may lead to serious adverse events or the abandonment of treatment due to these delays.
View Article and Find Full Text PDFStrategies for Mitigating Cancer-Related Financial Toxicity in China: A Multiperspective Qualitative Study Based on the Socioecological Framework.
JCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
Factors associated with Catastrophic Healthcare Expenditure in communities of Lagos Nigeria: A Megacity experience.
PLoS One
January 2025
Lagos State Health Management Agency, Lagos, Nigeria.
Background: Each year, millions of people in low-and middle-income countries such as Nigeria are forced into poverty and financial ruin due to out-of-pocket (OOP) healthcare expenses. Our study assessed the prevalence and determinants of Catastrophic Healthcare Expenditure (CHE) experienced by households in Lagos, Nigeria.
Methods: A descriptive community-based cross-sectional survey was conducted on 2492 households in Lagos from December 2022 to March 2023 in 4 Local Government Areas (LGAs) using a multistage sampling technique.
Impact of COVID-19 vaccination on hospitalization, hospital utilization and expenditure for COVID-19: A retrospective cohort analysis of a South African private health insured population.
PLoS One
January 2025
Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
This study quantifies the impact of COVID-19 vaccination on hospitalization for COVID-19 infection in a South African private health insurance population. This retrospective cohort study is based on the analysis of demographic and claims records for 550,332 individuals belonging to two health insurance funds between 1 March 2020 and 31 December 2022. A Cox Proportional Hazards model was used to estimate the impact of vaccination (non-vaccinated, partly vaccinated, fully vaccinated) on COVID-19 hospitalization risk; and zero-inflated negative binomial models were used to estimate the impact of vaccination on hospital utilization and hospital expenditure for COVID-19 infection, with adjustments for age, sex, comorbidities and province of residence.
View Article and Find Full Text PDFObjective: To clarify the screening behavior and influencing factors of females with breast cancer and cervical cancer in suburban areas and to provide a scientific basis for the subsequent implementation of targeted health education, intervention measures and the formulation of relevant policies.
Methods: This study used a multi-stage stratified random sampling method to select 4, 000 women in urban and rural areas of Beijing to analyze their behavior, basic situation, and influencing factors regarding cervical and breast cancer screening.
Results: The sample size of the final included valid analysis was 3861 people, and the screening rate was 27.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!