Identifying Common Patient‐Oriented Priorities for Child and Adolescent Health Research and Care: A Systematic Review of Priority Setting Partnerships
Bibliographic record
Abstract
CONTEXT: James Lind Alliance (JLA) Priority Setting Partnerships (PSPs) bring together patients, clinicians and carers (e.g., parents, guardians or family members) to identify the most important questions in specific areas of health research. The inclusion of diverse perspectives in PSPs can inform priority-guided investment in child health. OBJECTIVE: The objective of this study is to explore top priority areas identified in JLA PSPs across a range of child health conditions. EVIDENCE REVIEW: This systematic review was designed to capture JLA PSPs conducted on health topics relevant to children and youth. Database searches were run in MEDLINE, CINAHL, Embase and APA PsycINFO, and a grey literature search was conducted on the JLA's official website for reports published up to 1 August 2023. English-language articles adhering to, or adapting from, the JLA PSP methodology were eligible for inclusion if they focused on child and youth health, development and well-being. A thematic synthesis was conducted to explore common themes amongst all the top 10 lists. MAIN RESULTS: The systematic review identified 42 unique PSPs focused on child and youth health published from 2010 onwards. A total of 578 priorities were analysed across the top 10 priority lists. While the identified PSPs were conducted over a broad range of child health topic areas (e.g., general well-being, mental health, neurodevelopmental, and acute and chronic conditions), 18 common themes were identified across the top 10 priority lists. CONCLUSIONS AND RELEVANCE: Our findings provide an overview of the JLA PSP process and common areas of interest in child health research. This study can guide health research funding, health system responsiveness and policymakers' actions for widescale improvement in child and youth health. PATIENT OR PUBLIC CONTRIBUTION: A person with lived experience who is also an expert in patient partnership and has been involved in multiple JLA PSPs was engaged as a compensated member of the project team. They were involved in the initial idea for the review, the design of the review question and methodology, the analysis and interpretation of the review findings, and co-authorship of the manuscript.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".