Averted Hospital Utilization and Cost Estimates for 2000–2023

Estimates quantify the impact of changing health coverage on inpatient bed use and government health spending across 24 years. The dataset, created by Jiaying Stephanie Su, measures averted utilization as a percentage of national hospital bed capacity and averted costs as a percentage of domestic government health spending. It compares an actual scenario against a hypothetical constant coverage scenario from 2000 to 2023.

Use Cases

• Analyze trends in averted inpatient utilization percentage over the 2000–2023 time series.
• Compare averted cost percentages against domestic government health spending between actual and constant coverage scenarios.
• Model the relationship between changing health coverage and national hospital bed capacity utilization.
• Benchmark the financial impact of health policies by calculating averted costs as a share of government health expenditure.

Strengths

• 24-year temporal coverage from 2000 to 2023 provides a long-term view.
• Explicitly compares two policy scenarios: actual versus constant coverage.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Very small data size at 13.5 KB suggests limited scope or aggregated national-level figures only.
• Unknown row count and column structure prevents assessment of granularity.
• Lack of documented methodology or source data limits reproducibility.

Provenance

Source

figshare, authored by Jiaying Stephanie Su.

Collection Method

Modeled estimates comparing scenarios; exact methodology unknown.

Time Range

2000–2023

Freshness

Data updated in April 2026, though the time series ends in 2023.

Geography

National-level coverage, specific country or region unknown.