Current Status and Challenges of Planetary Health Education: Protocol for a Scoping Review
Bibliographic record
Abstract
BACKGROUND: The impacts of climate change, such as air pollution and abnormal weather, are becoming more apparent and threatening to human health. In response, the concept of planetary health was proposed in 2015 based on the recognition that human and earth health are closely related and that the general public needs to improve the health and sustainability of the ecosystems through a comprehensive approach. As economic development and human longevity progress, the burden on the earth's environment will increase; however, systematic methods for education and planetary health practices have not yet been established. OBJECTIVE: This study aims to clarify the current status and challenges of planetary health-related education. Specifically, it seeks to identify and analyze both existing educational programs that have already been implemented and evaluated, as well as those that have not yet been systematically assessed, providing insights for future curriculum development. METHODS: A scoping review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines will be conducted using the Population-Concept-Context framework. Without a defined target period, original papers and conference proceedings published in PubMed, CINAHL, EMBASE, Web of Science, Scopus, Google Scholar, and the Cochrane Central Register of Controlled Trials will be searched, and the findings will be disseminated through peer-reviewed publications and conference presentations. Studies with descriptions of planetary health education are included, while review papers and studies published in languages other than English or Japanese are excluded. RESULTS: As of August 2025, 28 studies had been selected. Data collection was carried out between May 2024 and July 2025. Preliminary data analysis will be conducted again in September 2025. The results are currently being prepared for publication and are expected to be published by October 2025. CONCLUSIONS: This study will identify the current status and challenges of planetary health education. The findings will contribute to developing future curricula that promote ecosystem health and sustainability. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/70910.
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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 | 0.100 | 0.101 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.013 | 0.017 |
| Bibliometrics | 0.020 | 0.017 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.075 | 0.014 |
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".