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Record W2064800055 · doi:10.1136/ebmh.5.1.32

Caregivers described how an Alzheimer's disease respite programme gave them time to attend to their own needs

2002· article· en· W2064800055 on OpenAlexaffabout
E. Ann Mohide

Bibliographic record

VenueEvidence-Based Mental Health · 2002
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRespite careMedicinePsychologyGerontologyNursing

Abstract

fetched live from OpenAlex

Perry J, Bontinen K. Evaluation of a weekend respite program for persons with Alzheimer Disease. Can J Nurs Res2001 Jun; 33 : 81 –95 [OpenUrl][1][PubMed][2] QUESTION: In caregivers for family members with Alzheimer's disease (AD), what are their experiences of a respite programme? Qualitative study using semistructured interviews. An overnight weekend respite programme in Vancouver, British Columbia, Canada. 19 caregivers (11 caregivers were 28–80 years of age, median age 65 y) who used the respite service for family members who had AD. Participants were wives (n=8), daughters (n=3), sons (n=3), husbands (n=2), sisters (n=2), and 1 granddaughter. Participants were interviewed by telephone. Questions included “How did you spend the time while [your family member] was attending the programme?” and “How do you think [your family member] experienced the programme?” Interviews were audiotaped and transcribed. Content analysis was used to identify themes and ideas. Constant comparative analysis was used until consensus was reached on categories and themes. 3 categories were identified. (1) … [1]: {openurl}?query=rft.jtitle%253DCanadian%2BJournal%2Bof%2BNursing%2BResearch%26rft.stitle%253DCan%2BJ%2BNurs%2BRes%26rft.aulast%253DHeaman%26rft.auinit1%253DM.%26rft.volume%253D33%26rft.issue%253D3%26rft.spage%253D81%26rft.epage%253D86%26rft.atitle%253DConducting%2Bhealth%2Bresearch%2Bwith%2Bvulnerable%2Bwomen%253A%2Bissues%2Band%2Bstrategies.%26rft_id%253Dinfo%253Apmid%252F11845625%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=11845625&link_type=MED&atom=%2Febmental%2F5%2F1%2F32.1.atom

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)0.002
metaresearch head score (Gemma)0.007
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.140
GPT teacher head0.344
Teacher spread0.203 · 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

Citations12
Published2002
Admission routes2
Has abstractyes

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