Ateneo - UPO

Health statistics applied on nursing

Lantieri et al. - Medical Statistics for Health Professions (2nd ed). McGraw-Hill 2004Alternative textbook:Fowler et al. - Practical Statistics for the Health Sciences. EdisesUseful texts for further study:M. Pagano & K. Gauvreau, Biostatistics (2nd Italian edition). Idelson Gnocchi, Naples, 2003S.A. Glantz, Statistics for Biomedical Sciences. McGraw 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

Theoretical lectures and exercises, supported by PowerPoint slides, Word materials and interactive Wooclap tools, made available to students on the DIR platform

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.

Qualitative and quantitative variables, frequency indicators; Summary and presentation of qualitative and quantitative data in tables; Measures of central tendency: mean, median, mode; Measures of variability: standard deviation, coefficient of variation, range and percentiles; Introduction to the basic concepts of population and sample; Basics of probability; Gaussian probability distribution: basic concepts; Introduction to hypothesis testing: comparison between means and comparison between proportions

Knowledge and understanding
By the end of the course, students are able to:
- define the different types of variables
- describe the different descriptive indicators
- define the different hypothesis/statistical tests
Applying knowledge and understanding
By the end of the course, students are able to:
-apply the correct indicator in relation to the type of variable and the needs of the study
-apply the correct statistical test in relation to the type of variable and the needs of the study