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Record W2032777431 · doi:10.1192/pb.30.11.415

Auditing the care programme approach for people with learning disability: a 4-year audit cycle

2006· article· en· W2032777431 on OpenAlex
Afia Ali, Ian Hall, Claire Taylor, Stephen Attard, Angela Hassiotis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychiatric Bulletin · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsAuditDocumentationLearning disabilityService (business)NursingGoal Attainment ScalingData collectionMedicineBusinessPsychologyMedical educationOperations managementAccountingEngineeringComputer sciencePsychiatryIntervention (counseling)

Abstract

fetched live from OpenAlex

Aims and Method Annual audits of the enhanced care programme approach (CPA) were conducted from 2002 to 2005 to evaluate and improve the implementation of CPA in two inner-London community learning disability services. The CPA standards included those stipulated by the Department of Health. The notes of all patients on enhanced CPA were analysed using a structured data collection form. Results There was a gradual improvement in the attainment of targets by both services. Areas of strength included allocating a date for the next CPA review, crisis plans and documentation of service users' comments. Areas of weakness included completion and review of risk assessments and the availability of a care plan for the previous 6 months. Clinical Implications Completing the audit cycle and reauditing improves attainment of targets and encourages service development, but further progress is required.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.284
Teacher spread0.267 · 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