MétaCan
Menu
Back to cohort
Record W2885619310 · doi:10.1177/1471301218793477

Co-creation of a family-focused service model living with younger onset dementia

2018· article· en· W2885619310 on OpenAlexaff
Karen Hutchinson, Chris Roberts, Pamela Roach, Susan Kurrle

Bibliographic record

VenueDementia · 2018
Typearticle
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDementiaThematic analysisSpouseService providerContext (archaeology)PsychologyFamily caregiversGerontologyQualitative researchSocial supportService (business)MedicineNursingSociologySocial psychologyBusinessDisease

Abstract

fetched live from OpenAlex

Families living with younger onset dementia face unique social challenges, which services do not currently address. There is a gap in understanding the experiences of families affected by younger onset dementia, including the interactions and relationships within the family units, and with existing services and supports. In this qualitative research study, semi-structured interviews were conducted across Australia with seven health and social care providers, five persons living with younger onset dementia, six spouse/carers, and 17 children. A thematic analysis was conducted using a theoretical lens drawn from the combined perspectives of the social model of disability and family systems-illness model. Two central themes emerged in the data: (1) Understanding the social demands on the family – lifecycle challenges living with younger onset dementia from a social and family context; and (2) Interactions of health and social care providers with families living with younger onset dementia – opportunities and challenges in providing support and services geared to a whole family approach. In order to provide families for those living with younger onset dementia with optimal assistance and support, co-creation of a family-focused services model is proposed. Its purpose is to support effective therapeutic interactions and service development among service users, service providers, and stakeholders.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.315
Teacher spread0.289 · 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.

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

Citations16
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueDementiaSame topicFamily Caregiving in Mental IllnessFrench-language works237,207