Virtual Ward Patient Clinical Observations and NEWS2 Scores from Bristol, UK (2023-2025)

A retrospective observational cohort study of 2,533 admissions to virtual wards in Bristol, North Somerset and South Gloucestershire (BNSSG) between October 2023 and February 2025. The dataset, authored by Lauren J. Scott and shared on figshare, contains clinical observations and calculated National Early Warning Scores (NEWS2) to analyze patient acuity, care pathways, and outcomes, including hospital readmission rates.

Use Cases

• Analyzing the distribution of clinical acuity on admission to virtual wards based on first NEWS2 scores.
• Evaluating the stability of patient conditions during remote monitoring based on changes in NEWS2 scores.
• Assessing the predictive performance of NEWS2 scores for hospital readmission based on the reported AUC metrics.
• Comparing patient outcomes and length of stay across different care pathways such as respiratory, frailty, and heart failure.

Strengths

• Contains data from 2,533 patient admissions across five distinct care pathways.
• Includes specific performance metrics for NEWS2 prediction, such as an AUC of 0.55 with 95% confidence intervals.
• Reports detailed distributions for first and maximum NEWS2 scores across the cohort.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 5.5 KB, indicating limited scope or aggregated summary data.

Provenance

Source

figshare

Collection Method

Retrospective observational cohort study of remotely monitored patients.

Time Range

October 2023 to February 2025

Freshness

Last updated 2026-04-28 17:34:21; freshness should be verified.

Geography

Bristol, North Somerset and South Gloucestershire (BNSSG), United Kingdom