METHODS OFNURSING AND MIDWIFERY RESEARCH II
cod. 1005013

Academic year 2017/18
2° year of course - First semester
Professor responsible for the course unit
William CANTARELLI
integrated course unit
9 credits
hub:
course unit
in - - -

Learning objectives


The course aims to consolidate the methodological preparation of the students in view of the practical application of quantitative and qualitative research techniques. They will then be resumed and deepened, with a strong application cut, themes and methods introduced in the first year as well as teaching the main methods used in health research.
In particular, it will expand the ability to implement the critical analysis of national and international nursing and midwifery literature, and to develop and / or use research tools to study phenomena in the various areas of vocational training: this is facilitated by specific lessons Of English science.
It is also proposed to make students able to illustrate the main alternatives of setting up an empirical survey (drawing of research) based on the initial hypotheses and alternative theoretical approaches available.
Finally, the course aims to provide students with knowledge about theoretical concepts and tools for statistical analysis and the definition of indicators aimed at understanding and evaluating phenomena and social and health services. Thanks to a didactic based on exemplification, the student will develop the ability to apply the concepts learned, using methods for building indicators for citizen demand analysis at local level and for evaluating services and projects. At the end of the course, therefore, the student will be able to use integrated systems of indicators for the assessment of the social and health context.
The systematic approach to healthcare and socio-sanitary databases will help achieve these goals.

Prerequisites


The examination of "Methods of Nursing and Obstetrician Research 2" can only be supported after passing the exams of "Statistics and Methodology of Nursing and Obstetrics Research" and "Epidemiological Methods of Study, Programming and Evaluation of Health Services".

Course unit content


Acquisition of tools that enable analysis and evaluation of phenomena and social health services.
Data collection techniques: from writing the questionnaire to different types of interview.
Quantitative scales: Likert, semantic differential.
Construction and validation of stairs.
Official statistics sources. Writing a scientific article. Critical analysis of nursing-midwifery research articles in both Italian and English
Clinical Evidence, Clinical Practice.
Writing an original thesis: from problem to presentation of results.
Biomedical resources, online databases, pubmed, Cinahl.

Full programme


See: content, goals, and methods for verifying individual disciplinary modules

Bibliography


Bezzi C, Cannavò L, Palumbo M., Costruire e usare indicatori nella ricerca sociale e nella valutazione, FrancoAngeli, Milano, 2010

Colton T., Statistica in medicina, Piccin, Padova, 1991

Corsi M., Fabbris L., Franci A. La valutazione della qualità dei servizi socio-sanitari, CLEUP Padova; 1997.

Delvecchio F., Statistica per la ricerca sociale, Cacucci, Bari 2000

Doise W., Clemence A., Lorenzi Cioldi F., Rappresentazioni sociali e analisi dei dati, Il Mulino, Bologna, 1995

Donati P., Manuale di sociologia sanitaria, Carocci, Roma, 1987 (capp. 7, 12 e 13).
 Epidemiologia e Prevenzione, 19-20, 1983

Fabbris L., Statistica multivariata, McGraw-Hill, Milano 1997

Franci A., Bruscaglia G., La statistica e la gestione dei servizi socio-sanitari, Maggioli, Rimini, 1987

Franci A., Corsi M., Il gradimento per la medicina di famiglia, Edizioni Summa, Padova 2003
 Franci A., Corsi M.,, Distribuzione territoriale, costi e qualità in case per anziani, QuattroVenti, Urbino 2006

Franci A., ed altri, Strumenti operativi per la gestione delle USL, Edizioni Montefeltro, Urbino 2001

Lantieri, Risso, Ravera, Statistica medica per le professioni sanitarie, McGraw Hill, 2004
 Mrchioli R., Tognoni G., Cause ↔ effetti in medicina, Il Pensiero Scientifico, Roma, 1994
 Greene, D’Oliveira, Statistica per psicologi, McGraw-Hill, Milano, 2000

Guala C., Marra E., Indicatori sociali e territorio, Sagep, Genova, 1990

Stanton A. Glantz, Statistica per discipline biomediche, McGraw-Hill, Milano, 2003

Zajczyk F., Il mondo degli indicatori sociali, Carocci (ex NIS), Roma, 1997

Davini O., Il prezzo della salute, Nutrimenti, 2013.
James A. Fain, La ricerca infermieristica – leggerla, comprenderla e applicarla, Milano, McGraw-Hill Companies, srl Publishing Group Italia, 2004, trad. it. di: Reading, Understanding, and Applying Research. A test and Workbook, 2nd edition.
Kenneth D. Bailey, Metodi della ricerca sociale, Bologna, ed. Il Mulino, 1985, trad. it. di Methods of Social Research, New York, The Free Press, 1982. Edizione italiana a cura di Maurizio Rossi.
Marradi A., L'analisi monovariata, Collana di metodologia delle scienze umane, FrancoAngeli, 1998

Marradi A., Linee guida per l'analisi bivariata dei dati nelle scienze sociali, Volume 18 di Laboratorio sociologico: Teoria, epistemologia, metodo, FrancoAngeli, 2002

Marradi A., Gasperoni G. (a cura di), Costruire il dato 3: le scale Likert, Volume 390 di Collana di sociologia, FrancoAngeli, 2002

Monographic texts, indicated at the beginning of the lessons.

Teaching methods


Part of the lessons will be conducted through interactive front-end teaching, even with the use of audiovisual media. The discussion in the classroom with the students on the proposed topics will be encouraged and encouraged. The didactic methodology of the course also includes the development, on an individual basis and through a work group, of contextual data tutorials for the construction of evaluation systems. Particular attention will be given to the teaching of critical analysis of research articles.

Assessment methods and criteria


The degree of preparation achieved is verified by oral examination including the evaluation of the thesis project and the critical analysis of a research article.

Other information


Students must attend at least 50% of the lesson hours.

2030 agenda goals for sustainable development

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