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Record W2964084421 · doi:10.12956/tchd.518412

A Study on the Psychological Status of Hospitalized Children and Their Perceptions of Hospital and Sickness Through Drawings

2019· article· en· W2964084421 on OpenAlexaff
İrem Erdem Atak, Utku Beyazıt, Gönül Taşçıoğlu, Aynur Bütün Ayhan

Bibliographic record

VenueTurkish Journal of Pediatric Disease · 2019
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPerspective (graphical)PerceptionMedicinePsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Objective: Sickness and hospitalization may have negative influences on the development and psychological status of children. It is important to understand children’s perceptions of sickness and hospital in order to reduce and eliminate the negative effects of hospitalization experiences on the psychological well-being of the children. From this perspective, the aim of this study was to examine the hospitalized children’s psychological status and their perceptions of hospital and sickness.Material and Methods: The study was based on a both descriptive and content analysis approach. The study group consisted of 31 children between the ages of 5 and 16 years who were recruited from a public hospital in North Cyprus. The children’s experiences were examined through their family and hospital drawings and draw-and-tell interviews.Results: Anxiety, depression, and the representation of the hospital as unsafe, need for a well-structured environment, problems with social relations, difficulties with holding onto life and lack of quality in the drawings were found to be the common findings in the drawings. When the drawings of each child were evaluated individually, it was found that regression increases in the hospital drawings. Conclusion: The findings of this study may be helpful in understanding the hospitalization experiences from the children’s perspective and might have clinical implications for practice in terms of supporting children in the hospitalization process.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.472

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 head0.013
GPT teacher head0.296
Teacher spread0.283 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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