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Record W3038445109 · doi:10.3390/children7070073

Children’s Drawing as a Projective Measure to Understand Their Experiences of Dental Treatment under General Anesthesia

2020· article· en· W3038445109 on OpenAlexaff
Ziad D. Baghdadı, Saffana Jbara, Nazeem Muhajarine

Bibliographic record

VenueChildren · 2020
Typearticle
Languageen
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsUniversity of SaskatchewanUniversity of Manitoba
Fundersnot available
KeywordsContext (archaeology)AnxietyMedicinePsychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Purpose: The overall aim of the study was to gain a deeper understanding of 3 to 10 year-old children’s experiences, main concerns, and how they manage attending hospital for dental treatment under general anesthesia (DTGA). Methods: Twelve children aged 3–10 who were scheduled for DTGA were interviewed. In addition to tape-recorded interviews, data were collected using video diaries, participant observations, and pre-, peri-, and postoperative drawings. The children’s drawings (n = 43) were analyzed using the Child Drawing: Hospital Manual (CD:H) and Vygotsky postulations for context readings, with the aim to explore what it means for children to undergo DTGA. Results: The analysis found that the main concern for children during the pre-operative period was that they were forced to prepare for an unknown experience, which elicited stress. This situation was handled during the peri-operative period by trying to recover control and to cooperate despite fear, stress, and anxiety. Drawings completed post-operatively showed the surgical mask, “stinky” smell of the anesthetic gas, and multiple extraction of teeth were the main troubling experiences for children. Several weeks after DTGA, children tried to regain normalcy in their lives again. Conclusion: This study contributed to a deeper understanding of how children as young as 3 years undergoing DTGA experience and express their lived experiences: emotional, psychological, physiological, or physical stress in the context of DTGA.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.024
GPT teacher head0.259
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations23
Published2020
Admission routes1
Has abstractyes

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