Ateneo - UPO

Concetti di statistica sanitaria applicata alla ricerca infermieristica

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 of mathematics from secondary school programs

Presentations in MS-Power Point format and exercises to check understanding of the topics covered in class.

The material used in class will be made available on the DIR platform

The final exam concerns: i) Computer science; ii) Epidemiology and EBP; iii) Nursing and EBN research methodology; iv) Health statistics The student's assessment includes a multiple choice written test (76 questions: 14 Epidemiology and EBP; 24 Nursing Research Methodology and EBN; 14 Health Statistics; 24 Computer Science). The questions will concern the topics present in the programs of the individual modules. The 90-minute test will be considered sufficient by correctly answering 60% of the proof and of each teaching (8 Epidemiology and EBP, 14 Nursing Research Methodology and EBN, 7 Health Statistics, and 14 Computer Science).. The student must demonstrate knowledge and ability to apply the nursing research process, the evidence based practice process and basic notions of computer science (types of computers, main hardware components, input-output peripherals, operating system and software used in the healthcare professional) and demonstrate that they are able to use the most common types of system software, word processing applications, spreadsheets, presentation tools, internet browsing programs and e-mail To achieve a 30/30 cum laude, the student must demonstrate that they have acquired an excellent knowledge of all the topics covered during the course. Students who, according to the instructions of the University, are considered fragile and / or in quarantine will take the long distance exam and the exam will be conducted orally. Those who find themselves in the conditions mentioned above are required to notify the coordinator of the integrated course who will arrange the oral exam in collaboration with the other teachers.

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: binomial distribution and 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.