Japanese health and safety information for overseas visitors: protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Before the COVID-19 pandemic occurred in January 2020, the number of overseas visitors to Japan had increased threefold over the last decade. To minimize the risk of health problems, visitors should be able to access information on the health care systems of the places they visit. Most short-term overseas visitors are young adults. Although they are not very likely to get sick from noncommunicable diseases, they are at high risk for injury and often experience stomach ailments, fever, or nausea when travelling. The objective of this study is to evaluate culturally and linguistically appropriate health information on preventive health behaviours and the health care system in Japan. We will examine the level of satisfaction of overseas visitors to Japan with health care-related educational materials using a five-minute digital game named Sa-Chan Japan. METHODS: Our study is a randomized controlled trial (RCT). We will assess both satisfaction and motivation before, during, and after the interventions and examine the changes over time. The intervention group will comprise overseas visitors who will view and answer questions in an animation named Sa-Chan Japan. The control group will comprise overseas visitors who will watch an English digital animation named Mari Info Japan. We will recruit 1002 participants through the Macromill Internet portal. We will contact overseas visitors who have either visited or wish to visit Japan from the United Kingdom, United States, and Australia. The participants will fill out a self-administered questionnaire online in the first quarter of 2021. We will determine the participants' levels of satisfaction with the CSQ-8 (8-item Client Satisfaction Questionnaire). We will analyse the median score of the overseas visitors with both the Wilcoxon rank-sum and the Wilcoxon signed-rank tests. Our protocol of randomized controlled trials follows the SPIRIT guidelines. DISCUSSION: Our research will utilize unique digital education strategies in a game that promotes health and safety among overseas visitors to Japan. We believe the results of this study will be useful in overcoming the current challenges regarding pretravel health requirements for overseas visitors worldwide. TRIAL REGISTRATION: Version 1 of this trial was registered in the UMIN-CTR (University Hospital Medical Information Network Center Clinical Trials Registry), and the trial registration data are available on UMIN000042483 , November 17, 2020.
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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 | 0.033 | 0.028 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.015 | 0.006 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.093 | 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".