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Record W2295941378 · doi:10.1111/opn.12102

Living with dementia in hospital wards: a comparative study of staff perceptions of practice and observed patient experience

2016· article· en· W2295941378 on OpenAlexaff
Anthea Innes, Fiona Kelly, Charles Scerri, Stephen Abela

Bibliographic record

VenueInternational Journal of Older People Nursing · 2016
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsHamilton Health Sciences
FundersUniversità ta' Malta
KeywordsDementiaPsychosocialNursingMedicineWorkforceObservational studyPerceptionPsychologyFamily medicinePsychiatryDisease

Abstract

fetched live from OpenAlex

AIMS AND OBJECTIVES: To ascertain the experiences, attitudes and knowledge of staff working in two Maltese hospital wards and the observed experiences of people with dementia living there. To examine the impact of recommendations made in October 2011 for improving the psychosocial and physical environments of the wards 1 year later. BACKGROUND: There is an increasing policy recognition of the need for a better trained and educated dementia care workforce and of ensuring that the environmental design of care settings meets the needs of people with dementia. DESIGN AND METHODS: At both time points, three established and validated data-collection methods evaluated (i) staff/patient interaction and patient experience, (ii) the extent to which the wards met dementia friendly principles and (iii) staff views about their work environment and their perceptions about their practice. Sixteen (five male and 11 female) patients with dementia and 69 staff in the two wards participated in the study. RESULTS: We noted small but important changes; however, the physical and psychosocial environments of the wards did not always align to current recommendations for dementia care, with staff perceptions of care delivery not always reflecting the observed experiences of care of those living with dementia. CONCLUSIONS: Comparing staff questionnaire data with observational methods offered a unique opportunity to understand multiple perspectives in a complex hospital setting. Incorporating these perspectives into staff and management feedback allowed for recommendations that recognised both patient-centred values and staff constraints.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.255

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)0.0000.000

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 head0.037
GPT teacher head0.400
Teacher spread0.363 · 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.

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

Citations32
Published2016
Admission routes1
Has abstractyes

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