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National Early Inflammatory Arthritis Audit - patient survey

Population Size

8,702

People

Years

2014

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

Variable

Summary

Continuously ascertained collection for all patients in England and Wales presenting to secondary rheumatology services over age 16 years with confirmed inflammatory arthritis. Measures at diagnosis, 3 months later and 1 year after diagnosis.

Documentation

Continuously ascertained collection of patient reported symptoms, quality of life and employment for all patients in England and Wales presenting to secondary rheumatology services over the age of 16 years with confirmed inflammatory arthritis. Measures are included at three survey times: at diagnosis, 3 months later and 1 year after diagnosis.
Dataset type
Health and disease
Dataset sub-type
Musculoskeletal
Dataset population size
8702

Keywords

Audit, NEIAA, Early, Inflammatory, Arthritis, Patient Survey

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

number of patients in the dataset

8702

Count

01 Jan 2021

Provenance

Purpose of dataset collection
Audit
Source of data extraction
Electronic survey
Collection source setting
Clinic, Home
Patient pathway description
patients with suspected or confirmed early inflammatory arthritis
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Continuous
Version
5.0.0
Modified

08/10/2024

Citation Requirements
Data has been provided by the Healthcare Quality Improvement Partnership from the National Early Inflammatory Arthritis Audit

Coverage

Start date

01/02/2014

Time lag
Variable
Geographic coverage
United Kingdom, England, Wales
Minimum age range
16
Maximum age range
150
Follow-up
6 - 12 Months

Accessibility

Language
en
Controlled vocabulary
LOCAL
Format
CSV

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
Variable
Access method category
Varies based on project
Jurisdiction
GB-EAW
Data use limitation
No restriction
Data use requirements
Project-specific restrictions
Data Controller
Healthcare Quality Improvement Partnership jointly with NHS England
Data Processor
Kings College London

Dataset Types: Health and disease

Dataset Sub-types: Musculoskeletal


Collection Sources: Clinic, Home