RESEARCH METHODS AND EBN
cod. AZ1005098

Academic year 2021/22
3° year of course - First semester
Professor responsible for the course unit
PEDRAZZI Giuseppe
integrated course unit
3 credits
hub: Parma Azienda Ospedaliero-Universitaria
course unit
in ITALIAN

Course unit structured in the following modules:

Learning objectives

Unit of Information processing systems
The course aims to enable the student to know and to understand the essential elements of the epidemiology and of statistics useful for nursing research, also in order to achieve the ability to use the knowledge and understanding gained in planning a search for the preparation of the thesis and thereafter conducting a professional activity based on "Evidence-based nursing".
Learning Outcomes
The student at the end of the course, will have to demonstrate knowledge and understanding about: - basic concepts of epidemiology - basic principles of medical statistics The student also, applying the knowledge and understanding acquired, must be capable of set up the necessary steps of preparation of his/her thesis.

Laboratory of Research methodology
1) Acquire basic knowledge to move in bibliographic research.Know what it means for HBCP, EBM and EBN and what they are for2) Understand how to identify evidence based on clinical needsGet basic knowledge on using databasesOrganize evidence to answer clinical questions

Prerequisites

none

Course unit content

Unit of Information processing systems
The lessons deal with elements of epidemiology and statistics useful for the planning of scientific research also using the model of the thesis as an example of the thesis research.

Laboratory of Research methodology
1) The search for efficacy tests and recommendations of good clinical practice derived from primary studies, systematic reviews and guidelines.
2) Transfer of knowledge in clinical practice through the dissemination and implementation of scientific evidence.

Full programme

Unit of Information processing systems
Population and sample Introduction: medical statistics and related disciplines. Logic and statistical planning. Overview of combinatorial analysis: permutations, arrangements, combinations. Applications. Overview of probability calculations: simple and compound probability, Bayes theorem. Odds. Odds ratios. Likelihood ratios. applications. Probability distributions : binomial distribution, Poisson distribution, normal and standard normal distribution. Tables and their use.
Elements of descriptive statistics Summarising data. Units of measure. Measurements of position, order and variation. Indices of central tendency, mean median, mode. Indices of variability, variance, standard deviation, CV. Percentiles and their use. Elements of statistical inference (hypothesis testing) General principles of statistical inference. Sampling distribution. Hypothesis and hypothesis testing. Type 1 and type 2 error. Power of a test and operating curve. Parametric test : Student t-test, ANOVA with 1 and 2 classification criteria. Non-parametric test: Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Friedman test, median test, Chi-square test, Fisher exact test. Overview of linear regression and correlation.Power of the study and choice of the statistical test Introduction to Epidemiology

Laboratory of Research methodology
1) Sources of Information in MedicineScientific communicationScientific periodicalsReferee SystemImpact FactorStructure of a scientific articleThe bibliographical citation
2) Secondary sources of informationTools for access to primary documents: catalogs and bibliographic databasesWhat are they, what they are for
3) CatalogsResearch into OPACStructure of an OPACQuery mode
4) Electronic periodicalsWhat are they, how they are consultedThe SFX catalog of electronic periodicals

EXERCISES
1) Bibliographic databases
2) Philosophy and structure of a bibliographic database
3) Structure of the record
4) Indexing Mode
5) Research into bibliographic databases
6) Free term search
7) Thesaurus research
8) Boolean operators
9) Research Methods and Strategies
10) PubMed Query Software
11) Comparison between PubMed and Cinahl

Bibliography

lecture notes
M.M Triola, M.F. Triola : Fondamenti di Statistica, Ed. Pearson
C. Signorelli «Elementi di metodologia epidemiologica» Ed. Soc.Editrice Universo
E. Bottarelli «Quaderno di epidemiologia veterinaria» http://www.quadernodiepidemiologia.it/epi/HomePage.html
Fondamenti di Ricerca infermieristica Denise F. Polit e Cheryl Tatano BeckISBN:9788838646003 Pagine: 432
La ricerca bibliografica - Strumenti e metodi per trovare e utilizzare la letteratura sanitaria 2/ed
Ercole Vellone, Michela PireddaISBN:9788838636547 Pagine: 290

Teaching methods

The course will be held through lectures to Students either in the classroom (“in presenza”) or in synchronous-streaming (“in telepresenza”) on the Teams platform. Therefore, the opportunity of Student/Teacher interaction will be preserved both face to face and remotely, by the simultaneous use of the Teams platform.
Lectures will be supported by slide presentations, which will be available to students on the Elly platform (https://elly.medicina.unipr.it).

Assessment methods and criteria

Written Exam: Multiple Response Test

In case of the persistence of the health emergency, the exams will be conducted remotely, as follows:
structured written test conducted remotely (by Teams and Elly). The candidate will remain connected with microphone and video camera turned on and will carry out the test under the control of the commission.
The test consists of multiple choice questions on the course contents (reference texts + documents uploaded to Elly during the course). There is no penalty for incorrect answers. Consultation of the didactic material will be allowed.
The final mark, reported directly on Esse3, will correspond to the arithmetic average of the assessments obtained in the written test.
Students with SLD / BSE must first contact Le Eli-che: support for students with disabilities, D.S.A., B.E.S. (https://sea.unipr.it/it/servizi/le-eli-che-supporto-studenti-con-disabilita-dsa-bes

Other information

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