CCGOIS 2.6: Unplanned Hospitalisation Rates for Chronic Conditions per 100,000 Patients

Directly age and sex standardised admission rates for unplanned hospitalisation for chronic ambulatory care sensitive conditions per 100,000 registered patients, including 95% confidence intervals. The dataset is provided by the Government Digital Service and was last updated in September 2017, with a next version due in December 2017. It is available in EXCEL XLS and CSV formats under the UK Open Government Licence.

Use Cases

• Benchmarking healthcare quality based on standardised admission rates for chronic conditions.
• Analyzing primary care accessibility and effectiveness based on rates of unplanned hospitalisations.
• Monitoring temporal trends in ambulatory care sensitive conditions based on the update schedule.
• Assessing potential health inequalities based on age and sex standardised metrics.

Strengths

• Data is directly age and sex standardised, enabling fair comparisons.
• Includes 95% confidence intervals for the admission rates.
• Published under the UK Open Government Licence, allowing for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The last update was in September 2017; data may not reflect current conditions.

Provenance

Source

Government Digital Service

Collection Method

Likely compiled from national healthcare administrative records.

Time Range

The specific temporal coverage of the data is not stated in the provided metadata.

Freshness

Updated in September 2017, with a next version due in December 2017.

Geography

The geographic coverage is not explicitly stated, but the source suggests it may relate to the UK or European region.