Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Oct 30;10(21):e39968.
doi: 10.1016/j.heliyon.2024.e39968. eCollection 2024 Nov 15.

Evaluating a German learning disorders platform using the RE-AIM framework

Affiliations

Evaluating a German learning disorders platform using the RE-AIM framework

Lior Weinreich et al. Heliyon. .

Abstract

In recent years, online platforms have made educational, medical, and other professional content easily accessible, but research evaluating such platforms is still scarce. The purpose of the current study is to evaluate LONDI, a German learning disorders platform. The platform offers scientifically based information for different user groups, and an algorithm-based help system that professionals can use to facilitate diagnosing and planning interventions. The evaluation is focused on the user group of learning therapists using the platform and its help system. It is theoretically grounded on the RE-AIM framework and assesses four of its dimensions: Reach, Adoption, Implementation and Maintenance. Results from an online questionnaire (N = 496) showed that the platform reaches a large proportion of learning therapists. Another online questionnaire (N = 150) revealed that most users say they would adopt the help system, and this is predicted by its pragmatic qualities. Data from the Matomo web analytics software (N = 8,459 online visits) displayed diverse patterns in the platform's implementation. Future research is needed to further examine their meaning in the context of health-related education. Web analytics also revealed that usage patterns are not maintained. Rather, there is an increase in the number of users and in smartphone usage over time, coinciding with a decrease in the average time spent on the platform. Consequently, future efforts will be dedicated to optimizing smartphone compatibility. This study is the first to utilize the RE-AIM framework with web analytics, paving the way for further theory-grounded platform evaluations.

Keywords: Learning disorders; Matomo analytics; Online platform evaluation; User experience.

PubMed Disclaimer

Conflict of interest statement

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Gerd Schulte-Koerne reports financial support was provided by 10.13039/501100002347Federal Ministry of Education and Research Bonn Office. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Image 1
Graphical abstract
Fig. 1
Fig. 1
Screenshot of the demographic pop-up questionnaire appearing in the front page. Note. The demographic pop-up questionnaire and the front page that appear in this screenshot were translated from German to English for the benefit of non-German speaking readers.

Similar articles

References

    1. Lang V. In: Digital Fluency. Lang V., editor. Apress; Berkeley, CA: 2021. Digitalization and digital transformation; pp. 1–50.
    1. Reyes-Millán M., Villareal-Rodríguez M., Murrieta-Flores M.E., Bedolla-Cornejo L., Vázquez-Villegas P., Membrillo-Hernández J. Evaluation of online learning readiness in the new distance learning normality. Heliyon. 2023;9(11) 1-14. - PMC - PubMed
    1. Salameh A.A., Al Mamun A., Hayat N., Ali M.H. Modelling the significance of website quality and online reviews to predict the intention and usage of online hotel booking platforms. Heliyon. 2022;8(9) - PMC - PubMed
    1. American Psychiatric Association . fifth ed. 2013. Diagnostic and Statistical Manual of Mental Disorders. Washington, DC.
    1. Moll K., Snowling M.J., Hulme C. Introduction to the special issue “comorbidities between reading disorders and other developmental disorders”. Sci. Stud. Read. 2020;24(1):1–6.

LinkOut - more resources