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Record W2471485469 · doi:10.3233/nre-161364

Exploring interest and goals for videoconferencing delivered cognitive rehabilitation with rural individuals with mild cognitive impairment or dementia

2016· article· en· W2471485469 on OpenAlexafffund
Rachel Burton, Megan E. O’Connell, Debra Morgan

Bibliographic record

VenueNeurorehabilitation · 2016
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Saskatchewan
FundersAlzheimer Society
KeywordsDementiaRehabilitationCognitionCognitive rehabilitation therapyPsychologyVideoconferencingThematic analysisTelehealthClinical psychologyPhysical medicine and rehabilitationPhysical therapyMedicineTelemedicinePsychiatryDiseaseQualitative researchHealth careMultimedia

Abstract

fetched live from OpenAlex

BACKGROUND: Goal oriented cognitive rehabilitation is a promising intervention for individuals diagnosed with mild cognitive impairment (MCI) or dementia due to Alzheimer Disease (AD). Videoconferencing delivered cognitive rehabilitation is a potential avenue for increasing accessibility for rural patients and their families. OBJECTIVE: First, we were concerned with the accessibility of the treatment for individuals in rural and remote areas. Second, client-centered goal setting was explored by asking this sample about their goals for cognitive rehabilitation. METHOD: We mailed questions to all active patients with diagnoses of MCI or dementia due to AD of a rural memory clinic and compare features of the responders versus the non-responders. We asked about interest in videoconferencing delivered treatment and about goals for cognitive rehabilitation, which were thematically analyzed. RESULTS: The responders (N = 25) were similar to non-responders in severity, depression, and caregiver burden. Of the responders, 80% were interested in videoconferencing developed treatment. A thematic analysis coded 95% of responses as amenable to cognitive rehabilitation. Participants' goals were focused on memory, household activities, other cognitive domains, recreation, and higher order tasks. CONCLUSIONS: This work informs the development of both in-person and videoconferencing delivered cognitive rehabilitation for individuals diagnosed with MCI or dementia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.325
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2016
Admission routes2
Has abstractyes

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