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Record W2009486881 · doi:10.1207/s15327655jchn2004_02

The Impact of Adult Day Programs on Family Caregivers of Elderly Relatives

2003· article· en· W2009486881 on OpenAlexaffabout
Sharon Warren, Janet Ross Kerr, Donna L. Smith, Dianne Godkin, Corinne Schalm

Bibliographic record

VenueJournal of Community Health Nursing · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRespite careInstitutionalisationFamily caregiversCaregiver burdenMedicineQuality of life (healthcare)GerontologyFamily medicineNursingDementiaPsychiatryDisease

Abstract

fetched live from OpenAlex

Adult day programs for elderly people have been implemented throughout North America but not widely evaluated for their impact on family caregivers. This study examined caregiver outcomes at 14 programs in Alberta, Canada. Caregivers were measured on burden, quality of life, perceived health, opinion on institutionalization at 4 time points (just prior to client admission, 2 weeks, 2 months, and 6 months after admission), and satisfaction with the program at 3 points after client admission. Caregiver status on burden, quality of life, and perceived health status remained stable over time. In addition, caregivers' opinion on institutionalization remained negative and satisfaction with the programs high. Caregivers reported that client socializing and improved health were what they liked best about the programs, followed by respite for themselves. Time conflicts-limits and transportation were identified as problems. The results suggest that adult day programs may help caregivers to continue in their caregiving role and to keep clients in the community longer.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.385
Teacher spread0.350 · 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 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

Citations49
Published2003
Admission routes2
Has abstractyes

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