Perceptions of New Graduate Chiropractors in Their Management of Paediatric Patients in the eThekwini Municipality
Bibliographic record
Abstract
The aim of the study was to assess the perceptions of new graduate chiropractors in their management of paediatric patients in the eThekwini Municipality. A qualitative, explorative, descriptive research design was utilised for this study. A purposive sample of 10 new graduate chiropractors in the eThekwini Municipality were interviewed. Data was collected utilising semi-structured interviews. The collected data was then stored electronically and transcribed. The transcripts were then coded and analysed by the researcher to identify categories and subcategories. The coded data was thereafter interpreted, using the themes and sub-themes identified. Four main themes were identified in the study, namely self-perception of confidence, knowledge and skill in paediatric patient management; exposure and training received in the chiropractic course; challenges encountered in paediatric patient management; and further enhancement of paediatric patient management. New graduate chiropractors expressed a lack of confidence and competence with regards to their management of the paediatric population, which was found to correlate with their lack of exposure to paediatric patients during the chiropractic paediatric curriculum in the course. Participants stated that their lack of exposure to this patient group negatively impacted on their diagnostic ability, orthopaedic assessment and treatment of paediatric patients. Participants identified areas of improvement in the chiropractic paediatric curriculum. Methods to enhance paediatric assessment and management were then discussed further. The findings of this study indicate that lack of exposure to paediatric patients prior to private practice was a key factor that negatively impacted on a new graduate’s confidence to assess, treat and manage paediatrics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".