Children’s and adolescents’ experiences of healthcare professionals: scoping review protocol
Bibliographic record
Abstract
BACKGROUND: Children and adolescents form a distinct patient group, whose experiences are relatively under-represented in research. Surveys have shown that healthcare professionals (HCPs) do not always communicate with them well, leaving children and adolescents under-involved and unsure who to ask when concerned. Recent qualitative studies have recognised that HCPs have a major influence on children's and adolescents' experiences, where poorer interactions can lead to fear, missed appointments and potentially a worse clinical outcome. Little is known about how children and adolescents experience the HCPs who play such an integral role in their healthcare. This review aims to explore children's and adolescents' lived experience of HCPs, so that a deeper understanding of the interactions between them can equip HCPs to provide care that better aligns with patients' needs. METHOD: This study will use scoping review methodology to map the existing published literature comprehensively and systematically, following a six-step framework. It will extract children's and adolescents' experiences, in the form of direct quotations, and thematically analyse them. The consultation exercise with children and adolescents will gather additional insights. Findings will consist of descriptions of each theme along with exemplar quotations and consultation comments. DISCUSSION: This scoping review is unique, as it will present children's and adolescents' lived experiences of HCPs, from synthesis of their direct quotations. Findings will assist HCPs to tailor their interpersonal skills to meet patients' needs so that better healthcare can be provided. This study will have implications for clinical educators, policy makers and guideline developers and provide suggestions for further research. SYSTEMATIC REVIEW REGISTRATION: Not registered.
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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 | 0.114 | 0.093 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.023 | 0.018 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.053 | 0.011 |
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".