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

3rd year

Semester

2nd semester

CFU

2

Hours distribution

20 classroom hours

Lecturers

FLAVIO BORRECA

Activity type

Scienze propedeutiche

SSD

MED/01

Year

3rd year

Semester

2nd semester

CFU

2

Hours distribution

20 classroom hours

Lecturers

GIANNI CARBONE

Activity type

Scienze della prevenzione dei servizi sanitari

SSD

MED/42

Year

3rd year

Semester

2nd semester

CFU

1

Hours distribution

10 classroom hours

Lecturers

Francesco Medici

Activity type

Scienze della fisioterapia

SSD

MED/48

Year

3rd year

Semester

2nd semester

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 guidelin


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
Hygiene
Definitions. Descriptive and Analytical Epidemiology.
Rome: 14/04/2025
Descriptive Epidemiology: Incidence rate, prevalence, and mortality rate. Standardization techniques.
Analytical Epidemiology: Case-control studies. Cohort studies. Risk measures.
Clinical Trials (Randomized Controlled Trials – RCTs)
Cause–Effect Relationships
Systematic Reviews, Meta-analyses, and Guidelines
Primary, Secondary, and Tertiary Prevention
Prevention of Infectious and Non-Infectious Diseases
Risk Factors, Causal Factors, and Natural History of Disease
Infectious Diseases: Risk factors, sources, reservoirs of infection, modes of transmission, and host–pathogen relationships
Sterilization, Disinfection, and Disinfestation
Diagnosis and Prevention of Infectious Diseases
Epidemiology of Healthcare-Associated Infections
Vaccination Strategies, Passive Immunoprophylaxis, and Chemoprophylaxis
Epidemiology and Prevention of Non-Infectious Diseases


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

Healthcare Legislation and Organization of the Healthcare System (R. Giorgetti), Maggioli Editore, ISBN: 9788838770859
Use of the Microsoft Office suite: available at https://support.office.com/it-it (free access)

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

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.

• The schedule of activities is planned flexibly, taking into account the availability of the teaching staff and the facilities.