Impact of Public Assistance on Heart Failure Outcomes, 596 Patients

A retrospective analysis of 596 patients discharged alive after hospitalization for acute heart failure in 2015. The dataset likely contains clinical and sociodemographic covariates used to evaluate associations between public assistance status and composite outcomes of death and rehospitalization over a mean follow-up of 3.5 years. The study was authored by Takashi Morinaga and published on figshare.

Use Cases

• Analyze the association between public assistance status and long-term health outcomes based on composite event rates.
• Build predictive models for heart failure rehospitalization risk based on clinical and sociodemographic covariates.
• Study socioeconomic disparities in healthcare by comparing outcomes between patient groups.
• Perform propensity score matching analyses to confirm model robustness in observational studies.

Strengths

• Includes 596 patient records for analysis.
• Adjusted for 25 clinical and sociodemographic covariates in multivariable analysis.
• Mean medical follow-up duration was 3.5 years, providing longitudinal data.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal bias inherent to a single-year cohort from 2015.

Provenance

Source

Takashi Morinaga

Collection Method

Retrospective analysis of patients discharged after hospitalization.

Time Range

Hospitalizations occurred between January and December 2015.

Freshness

Last updated 2026-05-07 04:37:32; freshness should be verified.