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Record W3005478400 · doi:10.1093/ageing/afz186.11

57 Improving Patient Centred Care On An Acute Older Persons Unit: A Quality Improvement Project

2020· article· en· W3005478400 on OpenAlexaboutno aff
T Meldrum

Bibliographic record

VenueAge and Ageing · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyMedicineIntervention (counseling)Multidisciplinary approachNursingSession (web analytics)Collaborative modelQuality managementPhysical therapy

Abstract

fetched live from OpenAlex

Abstract Topic Improving patient centred care through the implementation of an occupational therapy assessment that is framed by ‘gold standard’ intervention of comprehensive geriatric assessment (CGA) and Canadian Model of Occupational Performance and Engagement (CMOP-E). Occupational therapy staff had limited knowledge of the CGA process. Intervention Implementation of an adapted occupational therapy assessment form that reflects the CMOP-E and addresses the domains of the CGA; using the Plan, Do, Study, Act methodology to support a sequential cycle of change over a three month period (Dec 2019 – Feb 2019). The form also addresses patient centred care and personalised care planning. An education session was undertaken with occupational therapy staff to increase the knowledge and understanding of the CGA process resulting in more effective participation in multidisciplinary team (MDT) meetings. Improvement The above intervention resulted in successful implementation of an adapted occupational therapy assessment form for older people addressing the domains of the CGA within the CMOP-E framework and encompassing patient centred care. Occupational therapy staff had increased confidence with their knowledge of the CGA and participation in MDT meetings and patients felt more involved in their care. Discussion It is possible to have both an evidenced MDT model of practice and a uni-professional occupational therapy model working alongside each other to provide patient centred care and effectively address the complex needs of frail, older people.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.998

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 studies0.0010.000
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 head0.130
GPT teacher head0.423
Teacher spread0.293 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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