MétaCan
Menu
Back to cohort
Record W2050835672 · doi:10.1002/nur.10086

An alternative paradigm for clinical nursing research: An exemplar

2003· article· en· W2050835672 on OpenAlexaff
Souraya Sidani, Dana R. Epstein, Patricia Moritz

Bibliographic record

VenueResearch in Nursing & Health · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
FundersNational Institute of Nursing Research
KeywordsGeneralizability theoryIntervention (counseling)Psychological interventionParadigm shiftRandomized controlled trialClinical trialResearch designNursing researchPerspective (graphical)Outcome (game theory)Management scienceConceptual frameworkMedicinePsychologyNursingComputer scienceSociologyEpistemologyArtificial intelligence

Abstract

fetched live from OpenAlex

Effectiveness research is undertaken to evaluate the effects of interventions in achieving desired outcomes when tested in the real-world conditions of everyday practice. Although the randomized clinical trial (RCT) is considered the gold standard for effectiveness research, its feasibility, generalizability, and the clinical utility of its results are being questioned. This state of the science prompted the call for a paradigm shift, characterized by alternative methods for clinical research. The alternative methods attempt to account for clinical realities when conducting research, with the goal of minimizing discrepancies in the perspective and assumptions underlying practice and research. In this article a theory-driven approach to intervention evaluation is presented as a viable alternative paradigm for clinical research. The application of this approach demands changes in four aspects of research: participant selection criteria, assignment to treatment options, delivery of the intervention, and selection of outcome measures. The changes are discussed at the conceptual level and illustrated with examples from an ongoing multisite study aimed at determining the usefulness of this theory-driven approach to intervention evaluation.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptMetaresearch
Domain: Methods · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.148
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.148
Threshold uncertainty score0.785

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1480.111
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.005
Science and technology studies0.0070.051
Scholarly communication0.0160.016
Open science0.0040.012
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0040.001

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 head0.940
GPT teacher head0.849
Teacher spread0.092 · 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

Labeled directly by 2 models reading the full record.

Metaresearch

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Theoretical or conceptual
DomainMethods
GenreMethods

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

Citations38
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueResearch in Nursing & HealthSame topicHealth Policy Implementation ScienceCategoryMetaresearchFrench-language works237,207