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Record W2102404336 · doi:10.1177/0002716205274576

Cluster Randomized Trials of Professional and Organizational Behavior Change Interventions in Health Care Settings

2005· article· en· W2102404336 on OpenAlex

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

VenueThe Annals of the American Academy of Political and Social Science · 2005
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRandomized controlled trialPsychological interventionHealth careNursingCluster (spacecraft)Behavior changePsychologyCluster randomised controlled trialMedicineApplied psychologySocial psychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Individual patient randomized trials are the gold standard for assessing the effects of health care evaluations. However, individual randomization may not be possible for practical, logistical, ethical, or political reasons, for example, when evaluating health care professional and organizational behavior change interventions. Under such circumstances, cluster randomized trials are commonly used. This article discusses the practical and ethical issues in the design, conduct, and analysis of cluster randomized trials of professional behavior and organizational change strategies using examples from two primary studies evaluating health care provider behavior change strategies. Cluster randomized trials are commonly used in health care. They raise distinct ethical and methodological issues that have rarely been adequately addressed in studies to date.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
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 head0.243
GPT teacher head0.561
Teacher spread0.317 · 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