Integrated Care Workshop 2: Oncological Diseases

A.Y. 2026/2027
2
Max ECTS
36
Overall hours
SSD
NN
Language
Italian
Learning objectives
The course aims to provide students with practical knowledge of data collection methods, observation, and interviewing, consistent with the approach of complexity science and integrated PNEI care in oncology from a biophysiological, psychological, and sociocultural perspective.
The educational objectives of the course are:
- to provide knowledge of the various data collection tools
- to provide knowledge for the correct identification of health objectives in a preventive context
- to provide knowledge for the correct identification of health objectives in a disease context
- to provide knowledge on the use of integrated care models and techniques for health gain
- to provide knowledge on planning methods according to priority criteria and continuous evaluation of the interventions carried out and the results obtained
Expected learning outcomes
At the end of the course, students will:
- have acquired knowledge of the main data collection tools and be able to apply them in their clinical practice;
- have developed the ability to reason based on the data collected in order to identify priorities for psychological care and integrated care;
- have acquired the ability to interact with other healthcare professionals to interpret data and define a care plan within integrated models;
- be able to design preventive psychological care interventions in the context of cancer, always providing a residual health approach;
- be able to apply integrated science theory in the analysis and evaluation of cases.
Single course

This course can be attended as a single course.

Course syllabus and organization

Single session

Course syllabus
The first part of the teaching will be devoted to the study of the main data collection systems such as observation and interview with practice in simulated settings.
In the second part, care design will be addressed by applying the integrated health and disease analysis model.
In the third part, the interdisciplinary approach in data collection and intervention design for the application of integrated care models in health gain in preventive and cancer disease settings will be addressed.
Prerequisites for admission
None
Teaching methods
The course consists of lectures and supplementary teaching activities such as exercises, problem-based learning, group work, case analysis, and simulation.
Teaching Resources
Papers discussed during lesson
Assessment methods and Criteria
The final assessment of the knowledge and skills acquired consists of drawing up an integrated care plan based on a clinical case in the field of oncology.
The final assessment will determine suitability.
- University credits: 2
Laboratories: 36 hours
Shifts:
Turno
Professor: Masiero Marianna Agnese