Open Access
CC BY 4.0 · Gesundheitswesen
DOI: 10.1055/a-2750-5002
Original Article

Medical Training on Climate Change and Health: Evaluation of an Online Learning Format for Outpatient Care

Article in several languages: English | deutsch

Authors

  • Stefanie Stark

    1   Allgemeinmedizinisches Institut, Universitätsklinikum Erlangen, Erlangen, Germany
  • Merle Klanke

    1   Allgemeinmedizinisches Institut, Universitätsklinikum Erlangen, Erlangen, Germany
  • Claudia Quitmann

    2   Institute of Global Health (HIGH), Universitätsklinikum Heidelberg, Heidelberg, Germany
  • Jessica Nieder

    2   Institute of Global Health (HIGH), Universitätsklinikum Heidelberg, Heidelberg, Germany
  • Alina Herrmann

    2   Institute of Global Health (HIGH), Universitätsklinikum Heidelberg, Heidelberg, Germany
    3   Institut für Allgemeinmedizin, Uniklinik Köln, Köln, Germany
  • Jörg Lindenthal

    4   QuE, Gesundheitsnetz Qualität und Effizienz, Nürnberg, Germany
  • David Shimada

    4   QuE, Gesundheitsnetz Qualität und Effizienz, Nürnberg, Germany
  • Veit Wambach

    4   QuE, Gesundheitsnetz Qualität und Effizienz, Nürnberg, Germany
  • Fabio Alvarez

    5   Lehrstuhl für Regionalen Klimawandel und Gesundheit, Universität Augsburg, Augsburg, Germany
  • Irena Kaspar-Ott

    5   Lehrstuhl für Regionalen Klimawandel und Gesundheit, Universität Augsburg, Augsburg, Germany
  • Elke Hertig

    5   Lehrstuhl für Regionalen Klimawandel und Gesundheit, Universität Augsburg, Augsburg, Germany
  • Susann Hueber

    1   Allgemeinmedizinisches Institut, Universitätsklinikum Erlangen, Erlangen, Germany

Abstract

Background

Climate change increasingly affects public health and presents new challenges for outpatient care. Physicians require specific training opportunities to address these developments. As part of the project AdaptNet (“Adapting primary and specialised outpatient care to the health impacts of climate change”), an online training course on climate change and health was developed to provide essential foundational knowledge on climate-related health risks and adaptation strategies for medical practice. The aim of this study was to evaluate the training in terms of comprehensibility, applicability, and its relevance to medical practice.

Methods

The training was provided as an online learning format. The evaluation followed a mixed-methods approach involving 23 general practitioners and specialised physicians from the Northern Bavaria region (Germany). Data collection included a standardised online questionnaire as well as structured group discussions. The analysis was guided by the Consolidated Framework for Implementation Research, with data being evaluated using qualitative content analysis and quantitative descriptive methods.

Results

The quantitative analysis showed that the training was perceived as comprehensible, practically relevant, and well-structured. Participants considered the scope and duration of the training to be appropriate. The multimedia design was particularly positively highlighted. The qualitative results indicated increased awareness of climate-related health risks and a high perceived added value for medical practice. The training generated great interest among participants and was considered relevant for outpatient care. The flexible integration of the online format into daily work routines was seen as advantageous. Critical feedback referred to the lack of opportunities for interactive exchange and a desire for additional regional adaptation of the training content.

Conclusion

Climate change and adaptation are recognised as relevant topics in medical practice and can be effectively and practically communicated in the outpatient sector through the online training developed specially for this purpose. Regional customisation of the training content appears sensible in order to address climate and health challenges more specifically. Online formats may prove to be suitable tools for effective knowledge transfer.



Publication History

Received: 25 June 2025

Accepted after revision: 20 October 2025

Accepted Manuscript online:
18 November 2025

Article published online:
23 February 2026

© 2026. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).

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