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Intellectual disability (ID) is a neurodevelopmental condition characterized by deficits in intellectual and adaptive functioning that manifest during the developmental period. This condition encompasses challenges in reasoning, memory, problem-solving, and learning, accompanied by impairments in everyday life skills, such as communication, self-care, and social interactions. Intellectual disability affects approximately 1% of the population in the United States, impacting an estimated 5...
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Identifying Needs-Based Groupings Among People Accessing Intellectual Disability Services.

Jon Painter1, Barry Ingham2, Liam Trevithick3

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This study identified six distinct clusters of needs among 1,692 individuals with intellectual disability (ID) receiving secondary care in the UK. These clusters help tailor services to individual requirements.

Keywords:
Learning Disability Needs Assessment Toolclassificationcluster analysisneed

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Area of Science:

  • Intellectual Disability Services
  • Clinical Psychology
  • Health Services Research

Background:

  • Growing emphasis on needs-led service provision for individuals with intellectual disability (ID).
  • Current service models require refinement to meet diverse patient needs effectively.
  • Objective assessment tools are crucial for accurate service planning.

Purpose of the Study:

  • To perform a statistical cluster analysis of clinical data from individuals with ID accessing secondary care.
  • To identify distinct subgroups based on objective needs assessment data.
  • To validate these clusters using independent measures.

Main Methods:

  • Statistical cluster analysis of clinical data from 1,692 individuals with intellectual disability (ID).
  • Utilized a newly developed ID assessment tool for objective needs evaluation.
  • Validated identified clusters using six concurrently rated, independent tools.

Main Results:

  • Six clinically valid clusters of needs were identified among individuals with ID.
  • Clusters differed in overall need levels and specific clinical features.
  • Observed variations included autism spectrum disorder, mental health issues, challenging behaviors, and physical health conditions.

Conclusions:

  • The identified clusters demonstrate clinical face validity and are supported by independent validation.
  • These clusters offer a framework for understanding the heterogeneity of needs within the ID population.
  • Further research is recommended to refine these clusters and assess their utility in optimizing needs-led service planning and commissioning.