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Record W4206859052

The Methodological Quality Assessment of Published Papers based on Family-Centered Empowerment Model: A Scientometric Study

2020· article· en· W4206859052 on OpenAlexaboutno aff
Amir Vahedian‐Azimi, Fatemeh Alhani

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentQuality (philosophy)PsychologyManagement scienceEngineeringPolitical scienceEpistemologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Background: According to the widespread prevalence of different chronic diseases, nurses need to know the choices, necessities, and abilities of patients. The study purpose was to investigate the methodological quality of published papers based on Family-Centered Empowerment Model (FCEM). Methods: This study was a systematic review. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used to retrieve all national and international studies in the field of FCEM. The final papers were reviewed for different methodological dimensions using three quantitative scales: Jadad, Consolidated Standards of Reporting Trials (CONSORT) 2010, and Newcastle-Ottawa, and qualitative scale of Cochrane risk of bias. Findings: In the initial search, 644 papers were retrieved; following PRISMA screening guideline, 47 relevant papers were recognized. Jadad scale scores showed that one study received a score of 5 and 33 received a score of less than 3. Consort scale scores indicated that four studies were scored 7 and the same number were scored less than 5. The Newcastle-Ottawa scale scores showed that 13 studies were scored 8, and 4 were scored less than 4. The five dimensions of Cochrane's risk of bias scale are detailed in the paper. Conclusion: The methodological quality of applied studies based on the FCEM was relatively good, but their reporting style and quality were inadequate.

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)0.024
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.834
GPT teacher head0.731
Teacher spread0.103 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2020
Admission routes1
Has abstractyes

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