Ateneo - UPO

Health statistics applied on nursing

Lantieri et al - Statistica Medica per le professioni sanitarie (2° ed). McGraw-Hill 2004
Testo alternativo:
Fowler ed al - Statistica pratica per le professioni sanitarie. Edises

Testi utili per un approfondimento:
M. Pagano & K. Gauvreau, Biostatistica (II edizione italiana). Ed. Idelson Gnocchi, Napoli 2003
S.A. Glantz, Statistica per discipline biomediche. Mc Graw Hill, 2003

To be able and autonomous on the description of statistical data;
Understand the basic terms (population, sample, variable, etc.);
Calculation and presentation of frequency distributions;
Calculation of measures of central tendency and measures of variability;
Understand the fundamentals of event probability assessment.
In summary, we intend to provide the necessary basis to be able:
- to read scientific articles of nursing interest;
- to introduce simple data series.

Student needs knowledge from secondary school programs

Presentations with MS-WORD and MS-Power Point

Students with disabilities, DSA, BES, once they have contacted the University Staff, can contact the teacher in charge of the course in relation to the declination of the exam methods, regarding the teaching aspects.

The exam will consist in a written test, based from the summary of a scientific paper, translated into Italian, and complete with tables. The test will include 38 closed-ended questions: 7 Epidemiology and EBP, 12 Nursing Research Methodology and EBN, 7 Statistics, 12 Informatics. Type of questions, may include:
- checkboxes (more than one answer can be correct),
- true/false,
- of completion with omitted answers,
- of association.
In order to pass the test, 60% of the questions must be answered correctly. The 90-minute test will be processed and delivered via the DIR Examination system.
To achieve a 30/30 cum laude score, the student must demonstrate excellent knowledge of all topics covered in the course.
No penalization will be applied for incorrect/omitted. No oral tests will be held.

Quantitative and qualitative variables, frequency indexes; Qualitative and quantitative data represented in tables; Measures of central tendency: mean, median e modal values; Measures of variability: standard deviation, coefficient of variation, range and percentile; Basic introduction of sample and population; Probability: normal distribution – basic concepts. Introduction to hypothesis testing, comparison of averages and comparison of proportions.

Below are the expected results of this module:
Knowledge and understanding - At the end of this class, students are able:
-to define different types of variable; - to describe different types of descriptive index; - to define different hypothesis tests;
This knowledge is acquired during theoretical lessions and classroom exercises and is assessed with a written test.
Applying knowledge and understanding –At the end of this class, students are able:
-to use the correct index in relation to the type of variable and the needs of the study; - to use the correct statistical test in relation to the type of variable and the needs of the study.
This knowledge is acquired during theoretical lessions and classroom exercises and is assessed with a written test.