Unit METHODOLOGY OF NURSING AND MIDWIVES RESEARCH

NURSING APPLIED TO RESEARCH

Code	50A00027
CFU	1
Teacher	Palmiro Riganelli
Teachers	Palmiro Riganelli
Hours	9 ore - Palmiro Riganelli
Learning activities	Caratterizzante
Area	* scienze infermieristiche
Sector	MED/45
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	The socio-health context and its organization. Valued based decision making Sustainability and resources The clinical government Evidence Based Practice (EBP) Innovation and technological development New welfare paradigms The main biomedical databases The methodology of researching scientific information
Reference texts	- W. Ricciradi, V. Atella, C. Cricelli, F. .Serra. La tempesta perfetta. Ilpossibile naufragio del servizio sanitario nazionale: come evitarlo. ED. Vita e Pensiero 2015 - P. Chiari, D. Mosci, E. Naldi, Edidence Based Practice. La pratica clinico assistenziale basata su prove di efficacia. 2^ Ed. Mc. Graw Hill. Milano 2011
Educational objectives	At the end of the course the participants will be able to: - know the socio-health system and its organization - know the importance of making decisions based on scientific evidence - know the fundamental principles for a correct management of the hysteresis and for the sustainability of the system know principles and objectives of the Clinical Government know the fundamental principles of practice based on scientific evidence know the main elements of technological development in the health sector Know the basic principles of the new care paradigms Know and use the main biomedical databases for scientific information.
Prerequisites	Basic knowledge of the main institutional rules of the NHS and its organization. Basic knowledge of the basic principles of health economics. Basic knowledge of English in science basic knowledge of the main multimedia search engines
Teaching methods	Interactive frontal lessons Case discussion Practical exercises / demonstrations
Learning verification modality	Open stimulus interview test with open answer
Extended program	The socio-health system and its organization Waste, appropriateness, defensive medicine and medicine value Health policies Valued based decision making Sustainability and resources in times of globalization Disinvenstiment and reallocation of resouces The Clinical Governance Evidence Based Practice (EBP) Innovation and technological development HTA- telemedina and teleassistance New care paradigms main sources of scientific information Main biomedical databases The methodology of researching scientific information Formulate an assistance / organizational management question The PICO definition of a scientific information research strategy evaluation of the internal and external quality of a scientific document

MIDWIVES APPLIED TO RESEARCH

Code	50A00028
CFU	1
Teacher	Elisa Rosi
Teachers	Elisa Rosi
Hours	9 ore - Elisa Rosi
Learning activities	Caratterizzante
Area	* scienze ostetriche
Sector	MED/47
Type of study-unit	Obbligatorio (Required)

INFORMATION PROCESSING SYSTEMS

Code	50A00029
CFU	3
Teacher	Carla Binucci
Teachers	Carla Binucci
Hours	27 ore - Carla Binucci
Learning activities	Caratterizzante
Area	Scienze informatiche applicate alla gestione sanitaria
Sector	ING-INF/05
Type of study-unit	Obbligatorio (Required)
Language of instruction	Italian
Contents	The course addresses the following topics: managing and processing of information with particular reference to healthcare. The features provided by spreadsheet and DBMS will be examined in depth also referring to an open-source model.
Reference texts	Slides provided by the teacher.
Educational objectives	The main aim of this teaching is to provide students the following knowledge: managing and processing of information. The main skills will be: apply the acquired knowledge to the managing and processing of information in healthcare.
Prerequisites	No prerequisites required.
Teaching methods	- Theoretical lessons and exercises.
Other information
Learning verification modality	Written exam with open questions and exercises. The results of the exam are presented by the teacher to the student during a short discussion. Objective: evaluating the knowledge of theoretical concepts and the ability of apply them to practical cases.
Extended program	Introduction - Definition and information coding Systems to process and store information - Computers Architecture - Networks and ICT Technologies - Local and cloud storage Databases - Definitions and Representations - The Entity-Relationship Model E / R - Examples of healthcare databases Tools to acquire and process information - Spreadsheets - DBMS - Case examples in healthcare - Practical training

MEDICAL STATISTICS

Code	50A00030
CFU	1
Teacher	Lucio Patoia
Teachers	Lucio Patoia
Hours	9 ore - Lucio Patoia
Learning activities	Caratterizzante
Area	Statistica ed epidemiologia
Sector	MED/01
Type of study-unit	Obbligatorio (Required)
Contents	ELEMENTI DI METODOLOGIA DELLA RICERCA CLINICA ED ELEMENTI DI EPIDEMIOLOGIA E STATISTICA MEDICA
Reference texts	DIAPOSITIVE E TESTO GRATUITI PRODOTTI DA ME STESSO
Educational objectives	FORNIRE ELEMENTI DI METODOLOGIA DELLA RICERCA, DI EPIDEMIOLOGIA CLINICA E DI STATISTICA UTILI PER LA VALUTAZIONE CRITICA DEI VARI TIPI DI STUDI CLINICI E PER LA PIANIFICAZIONE DI RICERCHE CLINICHE
Prerequisites	CONOSCENZA DI BASE DELLE FONTI DI INFORMAZIONE IN AMBITO INFERMIERISTICO CLINICO E SANITARIO
Teaching methods	LEZIONI FRONTALI
Learning verification modality	DOMANDE A SCELTA MULTIPLA
Extended program	LA RICERCA BIOMEDICA: RICERCA DI BASE E RICERCA CLINICA. LA RICERCA CLINICA: VARI TIPI DI STUDI CLINICI. GLI STUDI CLINICI: • STUDI CONTROLLATI E RANDOMIZZATI; • REVISIONI SISTEMATICHE; • STUDI CASO-CONTROLLO; • STUDI DI COORTE; • STUDI DI SURVEY; • STUDI QUALITATIVI. I PRINCIPI DEL METODO SPERIMENTALE GLI STUDI CLINICI CONTROLLATI E RANDOMIZZATI: STRUTTURA E MOTIVO DI TALE STRUTTURA; • IL CONTROLLO; • IL RANDOM:VARI TIPI DI RANDOMIZZAZIONE; • IL CIECO; SINGOLO E DOPPIO; • I GRUPPI PARALLELI; • L’OGGETTIVITA’ DEGLI END POINT; • LA SIMMETRIA NELLA CONDUZONE DELL RICERCA; • LA COMPLETEZZA DEL FOLLOW UP; REVISIONI SISTEMATICHE: • LE TAPPE DI UNA REVISIONE SISTEMATICA: • ANALISI DELLA QUALITÀ METODOLOGICA DEGLI STUDI INCLUSI. • SINTESI QUANTITATIVA O QUALITATIVA DELLE INFORMAZIONI, A SECONDA DELLA NATURA E DELLA COMPLESSITÀ DEL QUESITO E DELLA DISPONIBILITÀ DI DATI: LE METANALISI, LA LOGICA DELLE METANALISI, IL RISCHIO RELATIVO E L’ODDS RATIO, L’INTERVALLO DI CONFIDENZA, L’INTERPRETAZIONE DI UN FOREST PLOT, IL PESO DEI SINGOLI STUDI NELLA METANALISI, L’ETEROGENEITA’ NELLE METANALISI. • DISCUSSIONE DELLE RAGIONI DI CONCORDANZA E DISCORDANZA TRA I RISULTATI DEI DIVERSI STUDI. LE MISURAZIONI IN BIOLOGIA • VARIABILITA’ DEI FENOMENI BIOLOGICI: LE VARIABILI E LE COSTANTI. • LE VARIABILI QUANTITATIVE E QUALITATIVE. • LE VARIABILI QUANTITATIVE CONTINUE E DISCRETE • LA MISURAZIONE DI UNA VARIABILE; • LE SCALE DI MISURAZIONE; • GLI ERRORI DI MISURAZIONE: CASUALI, SISTEMATICI. • LA VALIDITA’ DI UNA MISURAZIONE: ACCURATEZZA E PRECISIONE. • I TEST DIAGNOSTICI. • MISURARE L’EFFICIENZA DI UN TEST DIAGNOSTICO: SENSIBILITA’, SPECIFICITA’, VALORE PREDITTIVO POSITIVO, VALORE PREDITTIVO NEGATIVO. STATISTICA DESCRITTIVA: OBIETTIVI. MISURE DI TENDENZA CENTRALE MEDIA, MEDIANA, MODA. CURVA NORMALE. MISURE DI DISPERSIONE: RANGE, DEVIAZIONE MEDIA, VARIANZA, DEVIAZIONE STANDARD. STATISTICA INFERENZIALE: OBIETTIVI. IL MODELLO STATISTICO, IL TEST DI SIGNIFICATIVITA’STATISTICA, IPOTESI NULLA ED IPOTESI ALTERNATIVA, ERRORE DI PRIMO TIPO, ERRORE DI SECONDO TIPO, LA STIMA PUNTUALE E L’INTERVALLO DI CONFIDENZA. .