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Revista Latinoamericana de Simulación Clínica

ISSN 2683-2348 (Electronic)
Federación Latinoamericana de Simulación Clínica y Seguridad del Paciente
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2022, Number 3

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Simulación Clínica 2022; 4 (3)

Establishing impact for accreditation and social accountability

Leppink J, Pérez-Fuster P
Full text How to cite this article 10.35366/109712

DOI

DOI: 10.35366/109712
URL: https://dx.doi.org/10.35366/109712

Language: Spanish
References: 6
Page: 112-114
PDF size: 126.59 Kb.


Key words:

impact, accreditation, social accountability.

ABSTRACT

Accreditation and social accountability are key concepts in the world of healthcare. Universities and other centers offering programs of medicine and/or other healthcare-oriented programs must demonstrate that their activities of education, training and assessment contribute to a better practice in their local context. This article presents a type of research design with two types of metrics that facilitate the process of establishing impact of activities organized at the level of the individual. The methodology proposed in this article focusses on series of repeated measurements of the same variables of interest, such as individual performance or the perception of relations between two or more people, and works regardless of the number of people included in the study.


REFERENCES

  1. Prideaux D. The global local tension in medical education: Turning 'think global, act local' on its head? Med Educ. 2019; 53 (1): 25-31. Available in: https://doi.org/10.1111/medu.13630

  2. Barber C, Van der Vleuten CPM, Leppink J, Chahine S. Social accountability frameworks and their implications for medical education and program evaluation: a narrative review. Acad Med. 2020; 95 (12): 1945-1954. Available in: https://doi.org/10.1097/ACM.0000000000003731

  3. Leppink J. Bridging research and practice in health professions education: single case designs. Asia Pac Scholar. 2022; 7 (1): 109-111. Available in: https://doi.org/10.29060/TAPS.2022-7-1/PV2558

  4. Leppink J. Small numbers are an opportunity, not a problem. Sci Med. 2021; 31 (1): e40128. Available in: https://doi.org/10.15448/1980-6108.2021.1.40128

  5. Leppink J. A bayesian model for qualitative data in simulation. Rev Lat Sim Clin. 2021; 3 (3): 117-119. Available in: https://doi.org/10.35366/103188

  6. Leppink J. Single case designs in simulation. Rev Lat Sim Clin. 2021; 3 (2): 80-82. Available in: https://doi.org/10.35366/101432




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C?MO CITAR (Vancouver)

Simulación Clínica. 2022;4