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Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Related Experiment Video

Updated: May 10, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Racial, Income, and Marital Status Disparities in Hospital Readmissions Within a Veterans-Integrated Health Care

Crystal Dea Moore¹, Kelly Gao², Mollie Shulan³

¹Department of Social Work, Skidmore College, Saratoga Springs, NY, USA cmoore@skidmore.edu.

Evaluation & the Health Professions

|July 2, 2013

Summary

Unmarried patients have a 16% higher risk of hospital readmission, independent of race or income. This study highlights the need for better post-discharge support for vulnerable populations to reduce readmissions.

Keywords:

Poisson regression demographic disparities hospital readmissions racial disparities rehospitalizations veterans

Related Experiment Videos

Last Updated: May 10, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

Health Services Research
Health Policy
Healthcare Quality Improvement

Background:

Hospital readmission rates are key indicators of healthcare quality and influence reimbursement.
Existing research extensively covers racial disparities but less so for income and marital status.
Marital status serves as an indicator of post-discharge care support.

Purpose of the Study:

To assess racial, income, and marital status disparities in hospital readmissions.
To identify factors influencing readmission rates within a veterans' healthcare system.
To inform healthcare policies aimed at reducing disparities and readmissions.

Main Methods:

Utilized Poisson regression models with varying confounder controls.
Analyzed data from 8,718 patients within a veterans-integrated health care network.
Examined the relationship between patient demographics and the total number of readmissions.

Main Results:

No significant racial or income disparities in hospital readmissions were found.
Unmarried patients showed a statistically significant 16% increase in readmissions.
This finding persisted after controlling for various confounding factors.

Conclusions:

Findings challenge existing focus on race and income disparities in readmissions.
Marital status, as a proxy for social support, is a significant predictor of readmissions.
Policy interventions should consider social support systems to mitigate readmission risks.