Applied Research in Clinical Physiology I

Statistics;

Core areas of Clinical Physiology.

Teaching in the theoretical-practical matrix is ​​expository in nature with the use of audiovisual media that promote the active participation of students. The use of computer material using data processing software as well as their interpretation.

The student must acquire:

 knowledge

 • research methodologies applied to the health sciences, including the organization and analysis and interpretation of data.

• On the importance of clinical audit and evidence-based practice, including conducting research, with associated ethical principles.

 Aptitudes

 • carry out a research project adopting the adequate methodologies, employing proper statistical procedures being able to make decisions.

• critically evaluating scientific literature and developing a logic thinking about how to conduct competitive research.

Skills

• integrate in professional practice the results published in scientific literature

• translate scientific knowledge to clinical practice, assuring the best practices to patients

• present and publish the results obtained in the context of clinical audits and/or multidisciplinary applied research.

Stages of an investigation: formulation of the research question or problem, exploration, the problem, construction of an analysis model, observation, analysis of results, discussion,

limitations and conclusions;

How to communicate scientific findings; Critical analysis of scientific articles;

Internal structure of a scientific work suited to each research methodology;

Research Ethics;

Statistics applied to research in Clinical Physiology.

NAO

Primary references:

Pocinho, M. (2012) Metodologia de Investigação e Comunicação do Conhecimento Científico, 1a Edição LIDEL,ISBN: 9789727579167
Pádua, E. M. M. Metodologia da pesquisa: Abordagem teórico-prática. 13a edição, São Paulo: Papirus Editora; 2007.
Streiner, D. L. e Norman, G. R. Health measurement scales: A practical guide to their development and use. 4th edition, 2008.
William R. Shadish, T. D. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin.