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Record W2913491445 · doi:10.1177/1471301219827709

“If it helps someone, then I want to do it”: Perspectives of persons living with dementia on research registry participation

2019· article· en· W2913491445 on OpenAlexaff
Jeanie YY Lee, Rachel Crooks, Tram Pham, Lawrence Korngut, Scott B. Patten, Nathalie Jetté, EE Smith, Pamela Roach

Bibliographic record

VenueDementia · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of British ColumbiaHotchkiss Brain InstituteUniversity of Calgary
Fundersnot available
KeywordsDementiaThematic analysisFocus groupCognitionMedicinePerspective (graphical)GerontologyPsychologyQualitative researchFamily medicinePsychiatryDisease

Abstract

fetched live from OpenAlex

Registries are an important platform to which persons with dementia and other cognitive impairments can contribute to research studies. Registries also provide an opportunity for patients to stay informed about current studies. Engaging patients in registry development can increase sustainability of a registry and patient retention in clinical registries. We sought the perspective of persons with dementia and their accompanying family members about their registry participation experiences, barriers and facilitators to participation, and potential avenues for improvement of registry processes such as recruitment, data collection, and knowledge translation. Two semi-structured focus groups with persons with dementia and their family members ( n = 18) were conducted and analyzed using thematic content analysis. Participants were recruited from an existing patient registry made up of patients currently being seen in a dementia assessment clinic. The main themes identified included altruistic motives with regards to registry participation; and access to and privacy of personal health information. As electronic health records are becoming more common, understanding barriers and facilitators from the perspectives of people with dementia is essential to inform the future development of cognitive condition-related registries. The results from our focus groups identified engagement strategies and solutions to overcome perceived barriers for individuals experiencing progressive cognitive decline to participate in longitudinal registry projects.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.222
GPT teacher head0.472
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations11
Published2019
Admission routes1
Has abstractyes

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