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Deriving and validating a clinical prediction rule for the diagnosis of asthma in primary care

Population Size

Not reported

Years

1991 - 2018

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

Lead time

Not applicable

Summary

Asthma is common in the UK. Accurate diagnosis is essential for good asthma management. Yet uncertainty about the best way to diagnose asthma can lead to missed diagnoses and under-treatment, or over-diagnosis leading to unnecessary treatmen.

Documentation

Asthma is common in the UK, causing considerable illness, healthcare usage, and public expense. Accurate diagnosis is essential for good asthma management. Yet, uncertainty about the best way to diagnose asthma can lead to missed diagnoses and under-treatment, or over-diagnosis leading to unnecessary treatment and healthcare costs. To make it easier for doctors and nurses to identify and interpret important information gathered from patient suspected of having asthma, existing research database 'Avon Longitudinal Study of Parents and Children' (ALSPAC) will be used to identify feautres which predict who has asthma. This data contains information on a wide-range of socioeconomic, lifestyle, clinical, anthropometric and biological data on all family members repeatedly. The rule will be tested on anonymous routine data from UK GP's 'Optimum Patient Care Research Database'.

ALPSAC:
http://www.bristol.ac.uk/alspac

OPCRD:

https://opcrd.co.uk/</p>
Dataset type
Health and disease
Dataset sub-type
Not applicable

Keywords

ALSPAC, OPRCD, Asthma, Diagnosis, Primary care, Prediction Model

Provenance

Purpose of dataset collection
Study
Collection source setting
Other
Image contrast
Not stated
Biological sample availability
None/not available

Details

Publishing frequency
Other
Version
2.0.0
Modified

06/09/2024

Distribution release date

30/06/2018

Citation Requirements

University of Bristol (ALSPAC) Optinum Patient Care (OPCRD)

Coverage

Start date

01/04/1991

End date

30/06/2018

Time lag
Not applicable
Geographic coverage
United Kingdom
Maximum age range
24

Accessibility

Language
en
Controlled vocabulary
LOCAL

Data Access Request

Dataset pipeline status
Not available
Access rights
To be determined upon data access request
Time to dataset access
Not applicable
Access method category
TRE/SDE
Access service description
To be determined upon data access request
Jurisdiction
GB-ENG, GB-SCT, GB-WLS
Data use limitation
General research use
Data Controller
BREATHE

Dataset Types: Health and disease


Collection Sources: No collection sources listed