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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 OpenAlexaff
Linda Lee, Jason Locklin, Tejal Patel, Stephanie K. Lu, Loretta M. Hillier

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.

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)0.054
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.946
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0540.079
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0090.004
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.647
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

Classification

machine, unvalidated

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

Study designQualitative
DomainMethods
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

Citations4
Published2022
Admission routes1
Has abstractyes

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