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Record W4415769979 · doi:10.5463/thesis.1341

Improving information provision in the memory clinic

2025· dissertation· en· W4415769979 on OpenAlexaboutno aff
Heleen Mathilde Alieke Hendriksen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMemory clinicCognitionDiseaseQuarter (Canadian coin)Psychological interventionPrimary carePopulationFocus groupCognitive skill

Abstract

fetched live from OpenAlex

Over the past decades, rapid advancements have been made in the diagnosis of dementia, in particular Alzheimer’s disease (AD). In addition, the patient population at memory clinics is shifting, with an increasing number of individuals presenting at earlier, predementia stages. These changes in patient demographics and increasing diagnostic possibilities require memory clinic professionals to develop additional skills in medical communication, e.g., explaining about diagnostic tests, distinguishing between types and stages of dementia, or providing prognostic information. Adequate information provision empowers patients to make informed decisions, enhances autonomy, reduces anxiety, facilitates involvement in treatment and care plans, manages expectations, and strengthens the clinician-patient relationship. Individuals with Subjective Cognitive Decline (SCD), a self-perceived decline in cognitive abilities without measurable cognitive deficits, account for approximately one quarter of those visiting memory clinics for diagnostic evaluation. However, research evaluating the perspectives and experiences of individuals with SCD, as well as the perspectives and needs of memory clinic professionals regarding this patient group, is scarce. This thesis focuses on improving information provision in the memory clinic, with a specific focus on individuals with SCD. We addressed three primary aims: (1) assessing the perspectives and experiences of memory clinic patients, care partners, and professionals regarding information provision during the diagnostic trajectory, (2) evaluating the need for and feasibility of supportive communication tools in memory clinic practice, and (3) informing early lifestyle and medical interventions for individuals with SCD. Our findings show that memory clinic professionals recognize the importance of communicating about (etiological) diagnosis, prognosis, and prevention, and personalizing this communication to characteristics and needs of individual patients. The information needs of patients vary by disease stage and evolve over time, emphasizing the importance of both personalization and timing. Particularly in SCD, shared decision-making plays a key role in aligning diagnostic procedures and the information provision with patients’ situations, needs, and preferences. Participants with SCD valued amyloid PET disclosure positively, regardless of amyloid status. The emotional and informational needs of individuals receiving amyloid PET results underscore the importance of follow-up. We identified a need for (online) tools that facilitate meaningful discussions between professionals, patients, and care partners about diagnosis, prognosis, prevention, and treatment of AD – helping to clarify patients’ preferences and needs. Digital tools, such as ADappt, have the potential to improve information accessibility, enhance scalability, and reduce unwarranted practice variation. However, successful implementation requires more than just the availability of tools; it demands tailored strategies, including communication skills training for professionals. Ultimately, information provision should not be seen as a standalone intervention but as an integral part of high-quality memory clinic care. The diagnostic trajectory in the memory clinic is complex and often marked by uncertainty. Throughout this journey, accessible, reliable, and personalized information is essential. Optimizing communication strategies and equipping both patients, care partners, and professionals with the necessary tools and knowledge are essential steps toward a more patient-centered approach and personalized care in memory clinics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.353
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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