Physiotherapy - Course D - Roma Azienda S.Camillo Forlanini

Activity type

Scienze propedeutiche, Altre attività quali l'informatica, attività seminariali ecc.

SSD

INF/01, INF/01

Year

N/D

Semester

N/D

CFU

2

Hours distribution

20 classroom hours

Lecturers

Flavio Marti

Activity type

Scienze propedeutiche

SSD

MED/01

Year

N/D

Semester

N/D

CFU

2

Hours distribution

20 classroom hours

Lecturers

GIANNI CARBONE

Activity type

Scienze della prevenzione dei servizi sanitari

SSD

MED/42

Year

N/D

Semester

N/D

CFU

1

Hours distribution

10 classroom hours

Lecturers

Francesco Medici

Activity type

Scienze della fisioterapia

SSD

MED/48

Year

N/D

Semester

N/D

CFU

2

Hours distribution

20 classroom hours

Lecturers

Claudia Scalmana

Upon completion of the course, students will be able to:
1. Clinical Question Formulation: Structure well-defined clinical questions using the PICO format (Patient, Intervention, Comparison, Outcome) for physiotherapy practice.
2. Evidence Search and Selection: Efficiently search, identify, and select the most appropriate and high-quality scientific evidence (such as systematic reviews and randomized clinical trials) using biomedical databases (e.g., PubMed, Cochrane).
3. Critical Appraisal: Critically appraise the internal and external validity, reliability, and clinical applicability of scientific literature, using specific critical appraisal tools for different study designs.
4. Application and Implementation: Integrate the best available scientific evidence with clinical expertise and patient values/preferences to make informed therapeutic decisions (Evidence-Based Practice - EBP).
5. Efficacy Evaluation: Measure and evaluate the effectiveness of adopted rehabilitation interventions based on evidence, contributing to the continuous quality improvement cycle of care.

The student must possess a solid foundational knowledge of: * Anatomy and Physiology: To understand the biological basis of pathologies and interventions. * Pathology and Medical/Surgical Clinics: To identify relevant clinical conditions. * Fundamentals of Physiotherapy Assessment: To formulate diagnostic and treatment hypotheses. * Basic Medical Statistics: Understanding of concepts such as mean, standard deviation, and basic principles of probability and hypothesis testing.

Module: COMPUTER TECHNOLOGY
At the end of the course the student must be able to express some general concepts of computer science, understand the potential that Information Technology can offer in the diagnosis, care and assistance to the patient as well as in the hospital organization; it must also be able to use the most common software applications in clinical practice, in nursing research and in the preparation of the degree thesis.
The AGREE system and the evaluation of the guidelines


Module: MEDICAL STATISTICS
Aims and methods of statistical analysis; statistical characters and classification
• Statistical sampling and main sampling techniques.
• Data synthesis tools: Absolute, relative, cumulative frequencies; arrangement and organization of data in tables; frequency distributions.
• Main graphic representations: orthograms, circular sector diagrams, histograms, frequency polygons, scatter diagrams.
• Central trend indices: arithmetic mean and its properties, mode and median, tertiles, quartiles and percentiles.
• Variability indices: range, deviance, variance, standard deviation and coefficient of variation. Box-plot.
• Frequency distribution curves. Symmetry indices.
• The Normal Distribution, the standardized normal distribution.
• Elements of Probability. Definition of probability. Calculation of the probabilities of mutually exclusive, independent and conditional events
• aspects of descriptive statistics,
• elements of probability,
• statistical inference,
• statistical methods for qualitative and quantitative data,
• multivariate analysis,
• sensitivity, specificity, predictive value.



Module: GENERAL AND APPLIED HYGIENE
N/D
Module: TECHNICAL NURSING AND REHABILITATION SCIENCES


The course aims to develop in the learner:

- Knowledge and skills to search for scientific informations, through the use of the main scientific search engines
- Ability to read and critically evaluate clinical trials, according to the principlkes of methodological quality
- Ability to use the main checklists for drawing up a scientific research protocol

Module: COMPUTER TECHNOLOGY
Legislazione e organizzazione del servizio sanitario (R. Giorgetti), Maggioli Editore, ISBN: 9788838770859
Utilizzo Pacchetto Office available at https://support.office.com/it-it (free access)



Module: MEDICAL STATISTICS
materials of the teacher


Module: GENERAL AND APPLIED HYGIENE
N/D
Module: TECHNICAL NURSING AND REHABILITATION SCIENCES


N/D

Module: COMPUTER TECHNOLOGY
N/D
Module: MEDICAL STATISTICS
indicated during the lessons


Module: GENERAL AND APPLIED HYGIENE
N/D
Module: TECHNICAL NURSING AND REHABILITATION SCIENCES


N/D

IN CLASSROOM

LESSON IN CLASROOM

SINGLE OR INTEGRATED TESTS ARE GRADED OUT OF THIRTIES

Describe the difference between the internal validity and the external validity of a Randomized Clinical Trial (RCT). Provide two specific examples of bias (e.g., selection bias or performance bias) that can compromise internal validity and explain how a researcher can mitigate them during the study design phase.

Explain in detail how you manage this situation by applying the principle of Evidence-Based Practice (EBP), highlighting the role of clinical expertise and patient preferences in the final therapeutic decision.

Module: COMPUTER TECHNOLOGY

• Information technology
  • Books: Hoyt, R. E., Yoshihashi, A. K., & Hersh, W. R. (2022). Health informatics: Practical guide (8th ed.). Informatics Education.


• Electronic Health Record 
  • Books: Hoyt, R. E., Yoshihashi, A. K., & Hersh, W. R. (2022). Health informatics: Practical guide (8th ed.). Informatics Education.


• Evidence based clinical Practice
  • Books: Chiari, Paolo – Mosci, Daniela – Naldi, Enrico. Evidence Based Clinical Practice (2ª ed.). Milano: McGraw-Hill, 2011. ISBN 978-88-386-3673-8


• Clinical Guidelines
  • Books: https://www.gimbe.org/pubblicazioni/traduzioni/AGREE_IT.pdf?utm_source=chatgpt.com


• Use of Citation Manager software
  • Books: https://www.zotero.org/support/?utm_source=chatgpt.com

• Evidence-based Physioterapy: definition, rationale, historical development. The integrated framework of EBM
  • Books: Textbook: chapters 1,2,3. Teaching materials provided by instructor (slides, handouts)


• The GIMBE Foundation, scientific Guidelines and Evidence-based Practice
  • Books: Textbook: chapters 6,7,8,9. Teaching materials provided by instructor (slides, handouts)


•  The formulation of clinical questions using PICO model. Building the scientific search-string through Mesh terms and boolean operators. Introduction to the main scientific search-engines
  • Books: Textbook: chapter 4. Teaching materials provided by instructor (slides, handouts)


• The main experimental study design and their corresponding Reporting Guidelines
  • Books: Teaching materials provided by instructor (slides, handouts)


• Practical digital classroom exercises using open-access scientific search-engines and istitutional databases
  • Books: Teaching materials provided by instructor (slides, handouts).Digital learning resource


• Methodological quality of scientific studies and evaluation scale for RCTs: Jadad Scale and PEDro Scale. Practical digital classroom exercises.
  • Books: Textbook: Chapter 5. Teaching materials provided by instructor (slides, handouts).Digital learning resource


• How to write a Thesis: reporting guidelines, metodology and drafting, bibliografy
  • Books: Teaching materials provided by instructor (slides, handouts).