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@INPROCEEDINGS{Tegethoff:283065,
      author       = {Tegethoff, Paulina and Kurz, Carolin Isabella and Hufnagel,
                      Anna and Rutt, Sophia and Perneczky, Robert},
      title        = {{M}otivation, {W}orries and {D}igital {A}ffinity in
                      {A}lzheimer's {D}isease {R}esearch ‐ {Q}ualitative
                      {F}indings from {D}avos {A}lzheimer's {C}ollaborative},
      journal      = {Alzheimer's and dementia},
      volume       = {21},
      number       = {Suppl 3},
      issn         = {1552-5260},
      reportid     = {DZNE-2025-01472},
      pages        = {e100294},
      year         = {2025},
      abstract     = {Subjective cognitive deficits are the earliest clinical
                      sign of Alzheimer's disease (AD), raising interest in early
                      detection when disease-modifying drugs promise the greatest
                      benefit. The CogScreen 1 and 2 studies, part of the Davos
                      Alzheimer's Collaborative's Healthcare Systems Preparedness
                      program, evaluate tools for community-based screening for AD
                      in the earliest clinical stages. During the studies, a
                      systematic investigation of participant motivations,
                      concerns, and suggestions for trial improvement emerged as
                      essential.A qualitative interview guide was developed and
                      applied in 30 telephone interviews with randomly assigned
                      former participants. Recorded and transcribed data were
                      analyzed using the MAXQDA software (VERBI Software),
                      employing an inductive-deductive coding guide. Thematic
                      content analysis identified key patterns and insights into
                      the motivation, concerns and digital affinity of
                      participants in an AD research study.The study uncovered
                      valuable perspective on Alzheimer´s research. Participants
                      revealed diverse motivations for involvement, ranging from
                      personal connections to dementia to aspirations for early
                      diagnosis and treatment. Reactions to potential diagnoses
                      ranged from shock and grief to proactive care strategies.
                      Digital affinity varied but showed encouraging levels of
                      familiarity with technology among older adults. Participants
                      raised concerns about the study design, including item
                      clarity and response scales, as well as suggestions for
                      improving digital and traditional tools.By systematically
                      capturing participant feedback, the CogScreen study provides
                      critical insights for improving AD research methodologies,
                      particularly in relation to the participatory nature of
                      research. These findings underline the importance of
                      addressing participants' motivations and fears while
                      integrating innovative tools. The results also highlight the
                      feasibility of digital interventions in ageing populations
                      and emphasize trust in public institutions. Future studies
                      should use these findings to refine early detection
                      approaches and encourage greater participant engagement.},
      month         = {Jul},
      date          = {2025-07-27},
      organization  = {Alzheimer’s Association
                       International Conference, Toronto
                       (Canada), 27 Jul 2025 - 31 Jul 2025},
      keywords     = {Humans / Alzheimer Disease: diagnosis / Alzheimer Disease:
                      psychology / Male / Female / Aged / Motivation / Aged, 80
                      and over / Middle Aged / Qualitative Research / Interviews
                      as Topic / Cognitive Dysfunction: diagnosis},
      cin          = {AG Dichgans},
      ddc          = {610},
      cid          = {I:(DE-2719)5000022},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)1 / PUB:(DE-HGF)16},
      pubmed       = {pmid:41446930},
      pmc          = {pmc:PMC12739507},
      doi          = {10.1002/alz70857_100294},
      url          = {https://pub.dzne.de/record/283065},
}