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Record W4225964837 · doi:10.2217/nmt-2021-0053

Recruitment of Participants for Dementia Research: Interprofessional Perspectives From Primary care-based Memory Clinics

2022· article· en· W4225964837 on OpenAlex
Linda Lee, Jason Locklin, Tejal Patel, Stephanie K. Lu, Loretta M. Hillier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeurodegenerative Disease Management · 2022
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsCentre for Family MedicineResearch Institute for AgingMcMaster UniversityUniversity of Waterloo
Fundersnot available
KeywordsDementiaPrimary careMemory clinicPsychologyMedicineNursingGerontologyFamily medicineDisease

Abstract

fetched live from OpenAlex

Aim: To understand clinician attitudes and the barriers that impede research recruitment from specialized primary care-based memory clinics. Materials & methods: Clinicians completed a survey on attitudes and barriers to research recruitment from memory clinics. Results: Comfort and willingness to recruit for research were low to moderate and were lower for drug trials than for observational and non-drug trials. Respondents believed that it is important to have a standardized recruitment process. Identified barriers provide some insights into the factors that contribute to discomfort and lack of willingness to recruit research participants. Discussion: Findings can inform future efforts to develop a recruitment process that addresses identified barriers, while also providing an opportunity to increase participant recruitment in dementia research.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.647
GPT teacher head0.586
Teacher spread0.062 · 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