Hospital at Home Outcomes and Cost Analysis

2,972 episodes of hospital at home care were analyzed against a propensity-matched inpatient cohort in a study by Michael Shaw. The data covers admissions from December 2021 to May 2024, evaluating length of stay, readmission rates, mortality, and cost savings. Results show HAH reduced length of stay by 3.13 days and saved £3.79 million over 33 months.

Use Cases

• Predict 30-day readmission rates using patient cohort and care pathway features.
• Model length of stay savings from HAH versus inpatient care using matched episode data.
• Analyze cost-effectiveness using total bed-day savings and net financial savings metrics.
• Estimate 90-day mortality odds ratios using propensity-matched cohort outcomes.
• Evaluate patient experience and acceptability metrics across different care pathways.

Strengths

• Analysis includes 2,972 HAH episodes and a 1:1 matched control cohort of 1,488 inpatient episodes.
• Study reports statistically significant results with precise confidence intervals and p-values for multiple outcomes.
• Data covers a 33-month period from December 2021 to May 2024, providing a recent real-world evaluation.

Limitations

• The dataset is contained within a 19.6 KB DOCX file, suggesting it is a summary report rather than raw patient-level data.
• Specific column names and raw data rows are unavailable, limiting direct analysis.
• Geographic coverage is limited to a single service in England, which may not generalize to other regions.

Provenance

Source

Michael Shaw via figshare.

Collection Method

Retrospective cohort study using propensity score matching.

Time Range

December 2021 to May 2024.

Freshness

Data was last updated in April 2026, covering events up to May 2024.

Geography

England (specific HAH service location unspecified).