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Record W3197814425 · doi:10.1177/14713012211041259

Usefulness and acceptability of an animation to raise awareness to grief experienced by carers of individuals with dementia

2021· article· en· W3197814425 on OpenAlexfundno aff
Clara Scher, Sophie Crawley, Claudia Cooper, Elizabeth L Sampson, Kirsten Moore

Bibliographic record

VenueDementia · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersEconomic and Social Research CouncilMarie CurieAlzheimer Society
KeywordsDementiaGriefPsychologyClinical psychologyTraumatic griefPsychotherapistDevelopmental psychologyMedicineDisease

Abstract

fetched live from OpenAlex

AIM: Many carers of individuals with dementia experience high levels of grief before and after the death of the person with dementia. This study aimed to determine the usefulness, acceptability, and relevance of an animation developed to raise awareness to grief experienced by carers of people with dementia. METHODS: This research had a cross-sectional survey design. We contacted carers of people with dementia over the phone or email. Participants evaluated the animation through an online or paper-based survey. We used descriptive statistics and analysed qualitative data using thematic analysis. We required a sample of 40 carers to adequately power the study with a target of 75% of carers finding the animation useful, acceptable, and relevant. RESULTS: 31/78 carers approached evaluated the animation. Ninety-four percent of participants found the animation relevant to their situation, meeting our target. However, we fell short of this target for usefulness (68%) and acceptability (73%). The qualitative responses suggested that participants felt the animation could help improve the understanding of grief among carers, family, friends, and healthcare professionals. Carers also shared that the animation would be most useful for carers of newly diagnosed people with dementia. CONCLUSION: Most carers of people with dementia in this study reported that the animation was useful, acceptable, and relevant. Dissemination of the resource may be useful for the majority of carers, with the caveat that a few carers may find it distressing and need to be referred for further support.

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 score0.348
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
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.328
Teacher spread0.308 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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