NURSING AND MIDWIFERY APPLIED RESEARCH METHODOLOGY
cod. 1005002

Academic year 2024/25
2° year of course - First semester
Professor
William CANTARELLI
Academic discipline
Scienze infermieristiche generali, cliniche e pediatriche (MED/45)
Field
* scienze ostetriche
Type of training activity
Characterising
8 hours
of face-to-face activities
1 credits
hub: -
course unit
in ITALIAN

Integrated course unit module: METHODS OFNURSING AND MIDWIFERY RESEARCH II

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. In particular, it will expand the ability to implement the critical analysis of national and international nursing and midwifery literature, as well as develop and / or use survey tools to study phenomena in the various professional areas. 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, students will have to transfer the data from a collection tool to a statistical database by elaborating a few simple analyzes. Students will learn a research article’s structure according to the IMRAD structural reference (with direct address to their thesis) and reinforced their knowledge about the reference styles of the bibliography in particular on the APA and Vancouver styles; Finally, with regard to qualitative research, students will learn the methodological principles of conducting a focus group: types of focus groups, key roles of the figures involved and their main functions, data collection methods, their transcription and interpretation. Finally, regarding the qualitative research, students will learn the methodological principles of conducting a focus group: types of focus groups, key roles of the figures involved and their main functions, data collecting methods, their transcription and interpretation.

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

Data Collection Techniques: Interview: Definition and Limits; The semi-structured interview; The pilot survey; Structured interview; The post-survey. Building a questionnaire; The computerized questionnaire. Quantitative scales: Likert, semantic differential. Validation of stairs. Transfer the data of a questionnaire and / or observation board to a statistical analysis program as well as encode data and perform simple descriptive analyzes and cross-tabs. The qualitative interview: the focus group. Official statistics sources. Writing a scientific article. Critical analysis of nursing-midwifery research articles. Clinical Evidence, Clinical Practice. Writing an original thesis: from problem to presentation of results.

Full programme

See: Content, Objectives, Methods of Verification

Bibliography

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.
Testi monografici, indicati all'inizio delle lezioni.
A cura di A.Marradi e G.Gasperoni, Costruire il dato 3 – Le scale Likert, Collana di sociologia, Franco Ageli, 2002, Milano.
Wayne W. Daniel, Chad L. Cross. Biostatistica. Concetti di base per l'analisi statistica delle scienze dell'area medico-sanitaria (III ed.) 2019. Edises, Napoli.

Teaching methods

Frontal lesson with the use of audio-visual media, classroom discussion with students, group and individual elaborations. Critical analysis of research articles. Experiment individually, with personal PCs, the data analyzes described above.
“Lectures will be held on-site in compliance with safety standards, provided that further instructions on the ongoing health emergency are not implemented. Supporting material will be available on the specific, student-reserved platform (Elly) and will include slide presentations, audio-video aids or video-recording of the lectures.”

Assessment methods and criteria

Verification including the solution of a statistical question to be developed with the help of your PC through the SPSS application, presentation and related evaluation of the thesis project and critical analysis of a research article

Other information

Students are required to attend at least 60% of the total hours of the integrated course and at least 50% of the hours for each individual disciplinary module.

2030 agenda goals for sustainable development

4

Contacts

Toll-free number

800 904 084

Student registry office

E. segreteria.medicina@unipr.it
T. +39 0521 033700

Quality assurance office

Education manager:
Sandra Cavalca

T. +39 0521 034908
E. office didattica.dimec@unipr.it
E. manager sandra.cavalca@unipr.it

President of the degree course

Prof. Giuseppe Pedrazzi
E. giuseppe.pedrazzi@unipr.it

Director of Professionalising Teaching Activities (DADP)

Dott.ssa Emma Galante
E. emma.galante@unipr.it

Faculty advisor / Career guidance delegate

Dott.ssa Emma Galante
E. emma.galante@unipr.it
 

Tutor Professors

Dott. Luigi Baldini
E. lbaldini@ao.pr.it

Dott. Giuseppe Marletta
E. gmarletta@ao.pr.it

Erasmus delegates

Dott. Giuseppe Marletta
E. gmarletta@ao.pr.it

Dott. Luigi Baldini
E. lbaldini@ao.pr.it

Dott.ssa Emma Galante
E. emma.galante@unipr.it

 

Quality assurance manager

Dott.ssa Elisa Vetti
E. elisa.vetti@unipr.it 

Internships delegates

Dott.ssa Emma Galante
E. emma.galante@unipr.it
Dott. Giuseppe Marletta
E. gmarletta@ao.pr.it