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Children’s and parents’ perceptions concerning surgical attire: a systematic review

2021· review· en· W3211337236 on OpenAlexaff
Luciana Butini Oliveira, Carla Massignan, Isabel Cristina Quaresma Rêgo, Maria Marlene de Souza Pires, Bruce Dick, Michele Bolan, Graziela De Luca Canto

Bibliographic record

VenueRevista Paulista de Pediatria · 2021
Typereview
Languageen
FieldPsychology
TopicBody Image and Dysmorphia Studies
Canadian institutionsUniversity of Alberta
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPsycINFOScopusGrey literatureMedicineMEDLINEWeb of scienceFamily medicinePsychologyPediatricsMeta-analysisPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the literature about children's and parent's perceptions on surgical attire. DATA SOURCE: A systematic search was conducted in the databases EMBASE, Latin American and Caribbean Health Sciences (LILACS), PubMed, PsycINFO, Scopus and Web of Science. Grey literature was searched on Google Scholar, Open Grey and ProQuest Dissertations, and Theses Database. DATA SYNTHESIS: A total of 2,567 papers were identified. After a two-phase selection, 15 studies were included in narrative synthesis. Children favored wearing white coats in five of the nine included studies (55.5% [95%CI 48.3-62.7]; p=1.00). With respect to parents' preferences, results of vote counting showed that in 11 of 15 included studies, they favored physicians wearing white coats (73.3% [95%CI 67.9-78.6]; p=0.11). CONCLUSIONS: Children and parents have preferred physicians to wear a white coat with a very low certainty of evidence.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.551
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.043
GPT teacher head0.378
Teacher spread0.334 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

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