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Falls & Fragility Fracture Audit Fracture Liaison Service clinical dataset
Population Size
Not reported
Years
2016
Associated BioSamples
None/not available
Geographic coverage
United Kingdom
England
Lead time
Variable
Summary
The FLS-DB is a continuously-ascertained, record-level dataset which commenced in January 2016. It cvers England and Wales on assessment and treatment for osteoporosis and falls, across primary and secondary care, in patients with a fragility fracture.
Documentation
The FLS-DB is a continuously ascertained, record-level dataset which commenced in January 2016. It contains data from England and Wales on the patterns of assessment and treatment for osteoporosis and falls, across primary and secondary care, in patients who have sustained a fragility fracture. Full dataset available: https://www.rcplondon.ac.uk/projects/outputs/participating-fls-db
Dataset type
Health and disease, Registry
Dataset sub-type
Musculoskeletal
Keywords
Audit, FFFAP, Fall, Fragility, Fracture Liaison Service, Database, Clinical Dataset
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
|---|---|---|---|---|
Events | Number of fracure liaison services who submitted data to the FLS-DB in 2017 | 59 | count | 01 May 2018 |
Provenance
Purpose of dataset collection
Audit
Collection source setting
Secondary care - In-patients, Secondary care - Outpatients
Image contrast
Not stated
Biological sample availability
None/not available
Structural Metadata
Details
Publishing frequency
Daily
Version
4.0.0
Modified
08/10/2024
Citation Requirements
Data has been provided by the Healthcare Quality Improvement Partnership from the Falls and Fragility Fractures Audit Programme
Coverage
Start date
01/01/2016
Time lag
Variable
Geographic coverage
United Kingdom, England, Wales
Minimum age range
50
Maximum age range
150
Follow-up
6 - 12 Months
Accessibility
Language
en
Controlled vocabulary
OTHER
Format
CSV
Data Access Request
Dataset pipeline status
Not available
Access rights
Time to dataset access
Variable
Access request cost
Access method category
Varies based on project
Jurisdiction
GB-EAW
Data use limitation
No restriction
Data use requirements
Project-specific restrictions,Time limit on use
Data Controller
Healthcare Quality Improvement Partnership jointly with NHS England
Data Processor
RCP London and Crown Informatics