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Related Experiment Video

Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical Manifestations.

Paulina Tegethoff1, Carolin Isabella Kurz1, Anna Hufnagel1

  • 1Department of Psychiatry and Psychotherapy, LMU Hospital, LMU Munich, Munich, Germany.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

Participant feedback from Alzheimer's disease (AD) studies highlights the need to address motivations and fears. Insights gained improve early detection research and digital tool integration for aging populations.

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Area of Science:

  • Neuroscience
  • Gerontology
  • Public Health

Background:

  • Subjective cognitive deficits are early Alzheimer's disease (AD) indicators.
  • Early detection is crucial for disease-modifying drug efficacy.
  • CogScreen studies assess community-based AD screening tools.

Purpose of the Study:

  • Investigate participant motivations, concerns, and suggestions for AD research improvement.
  • Gather insights into participant experiences with early-stage Alzheimer's disease research.
  • Evaluate the feasibility of digital tools in aging populations for AD screening.

Main Methods:

  • Conducted 30 qualitative telephone interviews with former study participants.
  • Utilized a thematic content analysis approach with MAXQDA software.
  • Employed an inductive-deductive coding guide for data analysis.

Main Results:

  • Identified diverse participant motivations, including personal history and desire for early diagnosis.
  • Revealed varied participant reactions to potential diagnoses, from distress to proactive planning.
  • Found encouraging digital affinity among older adults, alongside concerns about study design clarity and response scales.

Conclusions:

  • Participant feedback is vital for refining AD research methodologies and enhancing participant engagement.
  • Addressing participant motivations and fears is essential for successful research.
  • Digital interventions are feasible for aging populations, underscoring trust in public institutions.