Evidence map›Paper›PMID 42026618›Full record

ArticleBMC medical education2026

Evaluation of the effectiveness of outdoor field-based teaching in training allergy specialists to identify allergenic plants.

Lisha Li, Kai Guan, Gan Xie, Jing Xuan, Min Li, Zixi Wang, Le Cui

Abstract readEvaluation Study
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lisha LiDepartment of Allergy, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment On Allergic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Kai GuanDepartment of Allergy, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment On Allergic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. dr_guankai@126.com.
Gan XieBig Data and AI Biodiversity Conservation Research Center, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Jing XuanBig Data and AI Biodiversity Conservation Research Center, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Min LiBig Data and AI Biodiversity Conservation Research Center, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zixi WangDepartment of Allergy, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment On Allergic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Le CuiDepartment of Allergy, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment On Allergic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project 2025ZD0548700Peking Union Medical College Hospital Talent Cultivation Program (Category B) UGG06079Peking Union Medical College Hospital Talent Cultivation Program (Category C) UBJ10654
6 · The paper itself

Abstract

objectiveTo evaluate the effectiveness of outdoor field-based teaching in improving the ability of clinical medical postgraduates and visiting trainees to identify allergenic plants, and to provide evidence for optimizing standardized training curricula for allergy specialists.

methodsA single-group pre- and post-test design was employed. A two-hour outdoor practical teaching session was conducted at the National Botanical Garden for clinical medical postgraduates and visiting trainees from Peking Union Medical College Hospital. The course was jointly delivered by instructors in botany and allergy, using on-site explanations of representative plant species, analysis of key morphological features, real-time question-and-answer interactions, and guided discussions. Participants completed plant identification tests before and after the course, and a post-course questionnaire was administered to collect student feedback on learning experience and satisfaction.

resultsSixteen students participated in the course. Post-course test scores 90.0 (80.0, 100.0) were significantly higher than pre-course scores 60.0 (42.5, 70.0), with a median improvement of 30 points (P < 0.001). The magnitude of score improvement was negatively correlated with baseline knowledge (ρ = -0.674, P = 0.004). After the course, plant identification accuracy exceeded 80% for most species, with Chinese ash and sycamore achieving 100% recognition. Summer solstice grass, pine, and Chinese ash showed the greatest improvement (all increased by 50%). All participants reported overall satisfaction with the course, and more than 90% considered outdoor practical teaching to be more engaging and effective than traditional slide-based lectures.

conclusionOutdoor field-based teaching significantly enhances trainees’ ability to identify allergenic plants and is associated with high learner satisfaction. Increasing course duration and further integrating theoretical instruction with practical field experience may further improve the quality of allergy specialist training.

Indexed as

AllergensAllergy and ImmunologyBotanyPlantsCurriculumEducational MeasurementHumansTeachingAllergensAllergenic plant identificationAllergy specialist trainingEducational effectivenessField-based teachingHay fever

Identifiers

PMID42026618
PMCPMC13237984

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.