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Record W2125084376 · doi:10.5334/ijic.73

PRISMA: a new model of integrated service delivery for the frail older people in Canada

2003· article· en· W2125084376 on OpenAlexafffundabout
Réjean Hébert, Pierre Durand, Nicole Dubuc, André Tourigny

Bibliographic record

VenueInternational Journal of Integrated Care · 2003
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsInstitute of AgingHealth and Social Services Centre University Institute of Geriatrics of SherbrookeUniversité de Sherbrooke
FundersCanadian Health Services Research FoundationCanadian Institutes of Health ResearchUniversité Laval
KeywordsService (business)Service delivery frameworkOlder peopleIntegrated careAutonomyProcess managementMedicineOperations managementProcess (computing)NursingBusinessGerontologyComputer scienceEngineeringHealth careMarketing

Abstract

fetched live from OpenAlex

PURPOSE: PRISMA is an innovative co-ordination-type Integrated Service Delivery System developed to improve continuity and increase the efficacy and efficiency of services, especially for older and disabled populations. DESCRIPTION: The mechanisms and tools developed and implemented by PRISMA include: (1) co-ordination between decision-makers and managers, (2) a single entry point, (3) a case management process, (4) individualised service plans, (5) a single assessment instrument based on the clients' functional autonomy, and (6) a computerised clinical chart for communicating between institutions for client monitoring purposes. PRELIMINARY RESULTS: The efficacy of this model has been tested in a pilot project that showed a decreased incidence of functional decline, a decreased burden for caregivers and a smaller proportion of older people wishing to be institutionalised. CONCLUSION: The on-going implementation and effectiveness study will show evidence of its real value and its impact on clienteles and cost.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.441

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0040.002
Scholarly communication0.0050.003
Open science0.0040.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.027
GPT teacher head0.325
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations158
Published2003
Admission routes3
Has abstractyes

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