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Record W4281810873 · doi:10.3233/shti220251

Web-Based Nursing Intervention to Promote Healthy Lifestyle of Older Adults Living with Coronary Artery Disease: Protocol for a Mixed Method Pilot Study

2022· article· en· W4281810873 on OpenAlexafffund
Audrey Lavoie, Véronique Dubé

Bibliographic record

VenueStudies in health technology and informatics · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health ResearchUniversité de Montréal
KeywordsIntervention (counseling)Psychological interventionCoronary artery diseaseMedicineDiseaseProtocol (science)Web applicationNursing Interventions ClassificationPopulationGerontologyPhysical therapyNursingAlternative medicineComputer scienceWorld Wide WebPathologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

To promote healthy lifestyles in the aging population living with coronary artery disease, interventions must be developed. This study aims to develop and evaluate a web-based nursing intervention to support older adult in adopting healthy lifestyles. The intervention will be developed according to the Intervention Mapping framework. A mixed method pilot study will be performed to evaluate the intervention. This study will contribute to knowledge of web-based interventions for growing populations living with cardiovascular disease.

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)0.019
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.013
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0310.006

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 head0.038
GPT teacher head0.423
Teacher spread0.385 · 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
GenreProtocol

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

Citations2
Published2022
Admission routes2
Has abstractyes

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