What Provider Frequently Asked Questions Miss: Evaluating Unmet Attention-Deficit/Hyperactivity Disorder Information Needs Through Comparison of Online Community Posts Using Large Language Model–Assisted Semantic Analysis in a Mixed Methods Study - Summary - MDSpire
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Assessing Unaddressed Information Needs in Attention-Deficit/Hyperactivity Disorder: A Mixed Methods Study Utilizing Large Language Model–Enhanced Semantic Analysis of Online Community Discussions

  • By

  • Jaeeun Baek

  • Hyeoneui Kim

  • September 11, 2026

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Objective:

To identify and characterize unmet information needs among individuals with ADHD and their caregivers through a mixed methods approach.

Approach:
  • Study Design: Mixed methods study utilizing large language model-enhanced semantic analysis of online community discussions.
Key Findings:
  • ADHD is a prevalent behavioral disorder among children and adolescents, with significant unmet information needs.
  • Parents often lack adequate knowledge about ADHD, which can lead to maladaptive parenting practices.
  • Despite the availability of extensive online information, it does not necessarily meet the informational needs of users.
  • Health care providers' perspectives on information priorities may differ from those of patients and caregivers.
Interpretation:

Timely access to reliable information is crucial for effective ADHD management and can help prevent disease progression.

Limitations:
  • Limited research exists on the specific information needs of individuals with ADHD, often failing to capture the diverse needs of stakeholders.
Conclusion:

Addressing unmet information needs is essential for improving ADHD management and supporting affected individuals and their families.

Sources:

Original Source(s)

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