MétaCan
Menu
Back to cohort

Experiences of Children Undergoing Dental Treatment under General Anesthesia: A Qualitative Study in Canada

2019· article· en· W2969741185 on OpenAlexaffabout
Ziadeddin Al Baghdadi, Nazeem Muhajarine, Carol Lynn Nagle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDentistry
TopicDental Anxiety and Anesthesia Techniques
Canadian institutionsUniversity of SaskatchewanUniversity of Manitoba
Fundersnot available
KeywordsMedicinePerspective (graphical)Qualitative researchFocus groupDental careDental healthMEDLINEFamily medicineNursing

Abstract

fetched live from OpenAlex

With the current move in childhood medicine away from a disease-centered approach to a child-centered approach, an interest in involving children in all aspects of their medical care has emerged. This requires healthcare providers to listen to children’s (and families’) opinions regarding illness, treatment, and health services. Dental treatment under general anesthesia (DTGA) is a common yet problematic approach due to cost and safety concerns for managing severe dental caries in children. The purpose of this qualitative inquiry was to explore children’s and parents’ experiences of DTGA, focusing on the emotional and psychological effects. Semi-structured, in-person interviews, telephone interviews, video diaries, drawings, and a family background information form were used to collect data to gain further understanding of child patients’ experiences of DTGA as they move through the stages of health, illness, treatment, and recovery. A qualitative descriptive design is the methodology of choice when a researcher seeks rich description of a phenomenon about which little is known. The study was designed from a qualitative perspective and thematic analysis was used to analyze data. Brief narrative accounts of the experience of DTGA from the perspective of child patients (children’s drawings, video diaries, and selected parts of the interviews) and their parents (selected parts of the interviews) were constructed. The findings from 12 children (mean age 6.1 years) and their parents (12 mothers and one father, mean age 33.6 years) indicated DTGA is a frightening procedure from the perspectives of both children and parents: parents wished that their children could avoid this “hard route,” and children found the use of the anesthetic gas and balloon procedure “stinky” and “weird.” Parental guilt and the desire of both parents and children to not have to go through the experience again fueled at least short-term compliance with brushing, flossing, and changes in dietary habits such “cutting down on” the consumption of sugar, "pop" and “junk” food. The parents appreciated managing the child’s whole dental problem in a single visit, the humane nature of the surgical staff, and the short wait times to get an appointment for the dental surgery. Since the study revealed that DTGA can have negative emotional impacts for both children and parents, it is imperative to explore ways to improve the GA experience. Specific recommendations were provided by participants for optimizing dental and health services for the children and their families. The children participants provided valuable information to augment that gathered from parents. As children provided insights about dental and medical experiences have scarcely been previously described, future research should fully incorporate children’s perspectives in the evaluation of dental and medical services. Creative activities used here with children as research tools, such as drawings and video or audio diaries, could be included in future research.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0220.010
Scholarly communication0.0060.002
Open science0.0030.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.292
Teacher spread0.276 · 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 designQualitative
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

Citations2
Published2019
Admission routes2
Has abstractyes

Explore more

Same topicDental Anxiety and Anesthesia TechniquesFrench-language works237,207