Using decision trees to enhance pain assessment in people with learning disabilities and complex communication needs
Pain is a multidimensional experience, yet its recognition and management in people with learning disabilities who are non-verbal or have limited communication remains a longstanding and under-explored clinical challenge. This patient population are given fewer prescriptions for analgesics compared with the general population and have a higher risk of preventable death due to their pain being inadequately monitored and managed. This article examines how decision trees – structured tools that guide clinical reasoning through a sequence of branching questions – can be incorporated into nursing practice to improve pain assessment in people with learning disabilities. The authors explore pain assessment tools, evidence-based practice and practical implications, outlining how nurses can lead safe, person-centred care and reduce the risk of diagnostic overshadowing. They also offer recommendations for practice, with an emphasis on clinical reasoning, multidisciplinary team collaboration and advocacy.
Authors
- Nicky Genders
- Cerys May Simpson
Institutions
- The Open University (GB)
- Little Plumstead Hospital (GB)
Publication Details
- Journal
- Learning Disability Practice
- Published
- 2026-01-08
- DOI
- https://doi.org/10.7748/ldp.2026.e2290
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 0.00