Identifying people with a learning disability: an advanced search for general practice

Area of Science:

• Health Informatics
• Primary Care Research
• Disability Studies

Background:

• Individuals with learning disabilities (LD) experience poorer health outcomes and communication challenges.
• Healthcare providers face difficulties identifying health needs of people with LD, risking unrecognised conditions.
• Current practice registers for LD capture only a fraction of eligible individuals, hindering targeted health improvements.

Purpose of the Study:

• To evaluate a Read Code search strategy for identifying individuals with mild-to-moderate learning disabilities not currently on their primary care practice's LD register.
• To assess the feasibility and effectiveness of using Read Codes for improving the accuracy and completeness of learning disability registers.

Main Methods:

• An observational study was conducted in primary care settings in West Yorkshire.
• Read Code searches were developed, field-tested, and refined to identify individuals with LD not on the register.
• The refined searches were then tested within general practices.

Main Results:

• Diagnostic codes identified few individuals who should have been on the LD register.
• Functional and service use codes generated a high number of false positives.
• Specific codes like 'Learning difficulties' and 'Referral to learning disability team' required manual review but identified some previously unregistered individuals with LD.

Conclusions:

• The Read Code search tool aids practices in populating and revalidating LD registers efficiently.
• The search is a viable option for register maintenance but did not identify large numbers of previously unknown eligible individuals.
• Complementary methods are necessary to fully validate practice registers and identify all individuals with learning disabilities.