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Record W2097444698 · doi:10.1002/14651858.cd010097

Community-based self-management programs for improving participation in life activities in older adults with chronic conditions

2012· article· en· W2097444698 on OpenAlexaff
Grace Warner, Lara Killian, Susan E. Doble, Joanne E. McKenzie, Joan Versnel, Tanya Packer

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2012
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsIntervention (counseling)Psychological interventionSelf-managementGerontologyChronic diseaseMedicinePhysical therapyPsychologyNursingFamily medicineComputer science

Abstract

fetched live from OpenAlex

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: Our primary objective is to assess the effects of professional‐led and mixed‐led (combining both professional and lay input) community‐based chronic disease self‐management (CDSM) interventions compared with usual care, for increasing participation in life activities for adults 65 years of age and older who have at least one chronic condition. Our secondary objective is to examine factors which could modify the effects of the CDSM intervention such as the following intervention characteristics: whether the program is (a) generic versus disease‐specific, (b) specific to older adults or not, (c) professionally‐led or mixed. In addition to these objectives, we also intend to communicate implementation and evaluation information to practitioners and healthcare decision makers.

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)0.026
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.049
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0070.009
Bibliometrics0.0080.008
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0460.003

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 head0.058
GPT teacher head0.353
Teacher spread0.295 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations9
Published2012
Admission routes1
Has abstractyes

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