ArticleMedical science educator2023
Mapping Health Professions Education: Using Complexity Science to Make Sense of Learning Through Electronic Consultations.
Article in Medical science educator, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
- Exploring Complexity in Out-of-Hospital Clinical Supervision Using Rich Pictures.Perspectives on medical education · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenomena studied within health professions education are often complex and multifaceted. This article describes a complexity science-informed theoretical framework that was developed for exploring how electronic consultations support learning among primary care providers, as well as within the larger organizations or systems in which they practice. This framework enables researchers to investigate learning occurring simultaneously at multiple levels (including individuals and social groups), without simplistically conflating levels or theories. The various levels of learning and associated theories are illustrated using examples from electronic consultations. This complexity science-inspired framework can be used for studying learning in complex, multilayered systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.