Determining Reasons Affecting the Late Treatment of Congenital Talipes Equinovarus: A Qualitative Study
Bibliographic record
Abstract
BACKGROUND: Neglected congenital talipes equinovarus (CTEV) is a serious problem commonly found in developing countries. This deformity has fatal impacts, including disabilities and educational limitations. Moreover, cases of neglected CTEV are still frequent in Indonesia as one of the developing countries. Thus, this study aims to investigate the reasons behind the late treatment of CTEV. METHODS: This is a qualitative study conducted throughout September 2019. The subjects are six parents of patients with neglected CTEV who are currently being treated in our hospital. The study was conducted by performing an in-depth interview with the patient’s parents to analyze why they delay checking their child to an orthopaedic surgeon. The results were then grouped into themes. RESULTS: The reasons for the delay were multifactorial. Four subjects had more than one reason why they delayed checking their child to an orthopaedic surgeon. The reason for the delay were socioeconomic factors (3 subjects), medical-related problems (3 subjects), intentionally delayed or refused to seek medical care (2 subjects), and misinformation from the previous physician (3 subjects). CONCLUSIONS: The reasons for the late treatment of CTEV were socioeconomic factors, medical-related problems, intentional factors, and misinformation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".