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Record W2318168626 · doi:10.3109/13561820.2015.1123233

A review of instruments to measure interprofessional collaboration for chronic disease management for community-living older adults

2016· review· en· W2318168626 on OpenAlexaff
Sue Bookey‐Bassett, Maureen Markle‐Reid, Colleen McKey, Noori Akhtar‐Danesh

Bibliographic record

VenueJournal of Interprofessional Care · 2016
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConcordancePsychologyReliability (semiconductor)Applied psychologySalientHealth careGerontologyMedicineNursingMedical educationComputer science

Abstract

fetched live from OpenAlex

It is acknowledged internationally that chronic disease management (CDM) for community-living older adults (CLOA) is an increasingly complex process. CDM for older adults, who are often living with multiple chronic conditions, requires coordination of various health and social services. Coordination is enabled through interprofessional collaboration (IPC) among individual providers, community organizations, and health sectors. Measuring IPC is complicated given there are multiple conceptualisations and measures of IPC. A literature review of several healthcare, psychological, and social science electronic databases was conducted to locate instruments that measure IPC at the team level and have published evidence of their reliability and validity. Five instruments met the criteria and were critically reviewed to determine their strengths and limitations as they relate to CDM for CLOA. A comparison of the characteristics, psychometric properties, and overall concordance of each instrument with salient attributes of IPC found the Collaborative Practice Assessment Tool to be the most appropriate instrument for measuring IPC for CDM in CLOA.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.487
Teacher spread0.437 · 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.

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

Citations28
Published2016
Admission routes1
Has abstractyes

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