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Record W2087563698 · doi:10.1177/1533317506298548

Perceptions of the Process of Care Among Caregivers and Care Recipients in Dementia Care Networks

2007· article· en· W2087563698 on OpenAlexaffabout
Susan Jaglal, Rhonda Cockerill, Louise Lemieux‐Charles, Larry W. Chambers, Kevin Brazil, Carole Cohen

Bibliographic record

VenueAmerican Journal of Alzheimer s Disease & Other Dementias® · 2007
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreSt. Joseph’s Healthcare HamiltonÉlisabeth Bruyère HospitalUniversity of OttawaMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsDyadDementiaPerceptionNursingSocial supportFamily caregiversHealth carePsychologySocial workMedicineDiseaseSocial psychology

Abstract

fetched live from OpenAlex

The Dementia Care Networks Study investigated 4 community-based, not-for-profit dementia care networks in Ontario, Canada. Investigators examined whether sociodemographic and health characteristics, type of support network, and amount of service use among care recipients and caregivers (n = 267 dyads) were associated with experiences with care processes. The process-of-care constructs were: family physicians' awareness of services; experiences with health care workers, and assessment and placement activities. The findings highlighted that family physicians' understanding of dementia and their ability to work with the dyad to become aware of and accept services, was an important component in the dyad's satisfaction. If caregivers received home support and the care recipients received emotional support from their social support network, they were more likely to be satisfied with their experiences with health care workers. In summary, increased awareness and provision of services were associated with more positive perceptions of network effectiveness.

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)0.003
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.336
Teacher spread0.324 · 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

Citations9
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Alzheimer s Disease & Other Dementias®Same topicGeriatric Care and Nursing HomesFrench-language works237,207