OBSTETRIC - Nursing SEARCH AND INFORMATION MANAGEMENT

Midwifery OBSTETRIC - Nursing SEARCH AND INFORMATION MANAGEMENT

1012400029
DIPARTIMENTO DI MEDICINA, CHIRURGIA E ODONTOIATRIA "SCUOLA MEDICA SALERNITANA"
EQF6
MIDWIFERY
2022/2023

OBBLIGATORIO
YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2013
AUTUMN SEMESTER
CFUHOURSACTIVITY
1RICERCA OSTETRICO - INFERMIERISTICA: GESTIONE DELLE INFORMAZIONI - MOD. EPIDEMIOLOGIA
224LESSONS
2RICERCA OSTETRICO - INFERMIERISTICA: GESTIONE DELLE INFORMAZIONI - MOD. STATISTICA MEDICA
112LESSONS
3RICERCA OSTETRICO - INFERMIERISTICA: GESTIONE DELLE INFORMAZIONI - MOD. SISTEMA DI ELABORAZIONE DELLE INFORMAZIONI
224LESSONS
4RICERCA OSTETRICO - INFERMIERISTICA: GESTIONE DELLE INFORMAZIONI - MOD. SCIENZE INFERMIERISTICHE OSTETRICO-GINECOLOGICHE
224LESSONS
5RICERCA OSTETRICO - INFERMIERISTICA: GESTIONE DELLE INFORMAZIONI - MOD. INDICATORI SOCIO SANITARI
112LESSONS
Objectives
HE COURSE AIMS TO TEACH STUDENTS THE KNOWLEDGE, SKILLS AND ABILITIES FOR CRITICAL REFLECTION WITH RESPECT TO THE USE OF RESEARCH IN OBSTETRICAL NURSING.

THE COURSE AIMS TO SHOW STUDENTS THE PROCESS OF RESEARCH IN ALL PHASES THAT MAKE IT UP, HIGHLIGHTING THE DIFFERENCES INHERENT IN THE DIFFERENT TYPES AND METHODS OF RESEARCH: EXPERIMENTAL, QUASI-EXPERIMENTAL, OBSERVATIONAL (DESCRIPTIVE AND ANALYTICAL) - BASIC AND APPLIED RESEARCH - THE PHASES OF THE RESEARCH PROCESS - CLASSIFICATION OF THE SEARCH BASED ON TIME.
THE MODULE SOCIOLOGY AIMS TO MAKE THE STUDENTS THE MAIN TOOLS FOR THE PREPARATION OF A RESEARCH PROJECT QUALITY AND QUANTITY, APPLICABLE TO SPECIFIC AREAS OF EXPERTISE OBSTETRICAL NURSING, WITH A FOCUS ON METHOD OF NBM.

MODULE: DATA PROCESSING AND INFORMATION MANAGEMENT
THE STUDENT WILL ACQUIRE THE KNOWLEDGE OF THE BASES OF NURSING RESEARCH AND INFORMATION MANAGEMENT SYSTEMS.
FOR NURSING RESEARCH, HE WILL LEARN TO ANALYZE EXPERIMENTAL DATA SETS AND USE SOFTWARE TOOLS TO PROVIDE A QUANTITATIVE AND QUALITATIVE DESCRIPTION, IN THE FORM OF NUMBERS AND GRAPHICS, OF THE RESEARCH DATA.
FOR INFORMATION MANAGEMENT, THE STUDENT WILL LEARN THE ROLES AND FUNCTIONALITIES OF INFORMATION TECHNOLOGY TOOLS TO HANDLE THE INFORMATION FLOWS WITHIN HEALTH INFORMATION SYSTEMS.
AT THE END OF THE COURSE, THE STUDENT WILL BE ABLE TO INTEGRATE THE KNOWLEDGE REQUIRED TO MANAGE THE COMPLEXITY OF THE INFORMATION PRODUCED WITH THE AID OF COMPUTER INSTRUMENTS WITH THOSE OF BASIC NURSING EDUCATION IN ORDER TO MAKE CRITICAL ASSESSMENTS AND FORMULATE WORK HYPOTHESES (JUDGEMENT SKILS).
THE STUDENT'S ABILITIES TO EXPOSE THE ISSUES ADDRESSED IN THE COURSE WITH COMPLETENESS AND EASE OF LANGUAGE WILL ALLOW A CLEAR AND EFFECTIVE TRANSMISSION OF CONTENTS (COMMUNICATION SKILLS). THE STUDENT WILL FINALLY GAIN THE ABILITY TO EXTEND AND DEEPEN THE STUDIED TOPICS AND ADDRESS NOVEL APPLICATIONS INDEPENDENTLY (ABILITY TO LEARN).

Prerequisites
NONE
Contents
MEANING AND PROCESS STEPS;
RESEARCH OBSTETRICAL NURSING;
BASIC RESEARCH AND APPLIED RESEARCH IN HEALTH CARE SETTINGS; RESEARCH DESIGN;
HYPOTHESIS FORMULATION RESEARCH,
TOOLS QUALITATIVE AND QUANTITATIVE VERIFICATION OF THE HYPOTHESIS;
DEFINITION OF QUALITATIVE APPROACHES TO THE ANALYSIS OF INTERACTION;
MEASURING THE DYNAMICS OF COMMUNICATION;
METHODOLOGIES NARRATIVE;
EXPLANATION, INTERPRETATION, PROCESSING AND MANAGEMENT OF QUALITATIVE DATA IN EMPIRICAL EVIDENCE.

MODULE: DATA PROCESSING AND INFORMATION MANAGEMENT
NURSING RESEARCH: RESEARCH PHASES, STUDY HYPOTESES, POPULATION SAMPLING, MEASUREMENT AND VARIABLE TYPES, DATA ANALYSIS AND INTERPRETATION, DATA PUBLICATION.
ELECTRONIC SHEET (EXCEL): ADVANCED USE FOR DATA PROCESSING. INTRODUCTION TO R-STUDIO SOFTWARE FOR DATA ANALYSIS. VARIABLES, VECTORS AND MATRICES, FUNCTIONS. USE OF THE R-STUDIO LIBRARY FOR EXCEL DATA EXCHANGE.
DESCRIPTIVE DATA ANALYSIS: STATISTICAL INDICATORS AND FREQUENCY DISTRIBUTIONS, HISTOGRAMS, BOX-PLOTS IN EXCEL AND R-STUDIO.
INFERENTIAL DATA ANALYSIS: CONFIDENCE INTERVALS, T-TEST, ANOVA, WILCOXON SIGNED RANK TEST, CHI-SQUARED TEST IN EXCEL AND R-STUDIO.
INFORMATION MANAGEMENT: INFORMATION SYSTEMS AND DATABASES, DATA FLOWS IN HEALTH INFORMATION SYSTEMS, EXPERT SYSTEMS FOR DECISION MAKING PROCESS SUPPORT, CONCEPTUAL DESIGN OF DATABASES, EXAMPLES IN ACCESS.
Teaching Methods
LECTURES, EXERCISES IN CLASSROOM AND TEAM WORK
Verification of learning
ORAL EVALUATION WITH PRACTICAL TEST ON DATA PROCESSING
Texts
THE LIST OF READINGS WILL BE DISTRIBUTED AT THE BEGINNING OF THE COURSE. STUDY MATERIAL WILL BE PUT AT STUDENTS DISPOSAL FROM THE TEACHER DURING THE LESSONS.

MODULE: DATA PROCESSING AND INFORMATION MANAGEMENT
J.A. FAIN: READING, UNDERSTANDING, AND APPLYING NURSING RESEARCH, ED. F.A. DAVIS COMPANY – PHILADELPHIA
A. M. PAGANONI, L. PONTIGGIA. LABORATORIO DI STATISTICA CON EXCEL. ED. PEARSON EDUCATION
F. PIGNI, A. RAVARINI, D. SCIUTO. SISTEMI PER LA GESTIONE DELLE INFORMAZIONI, ED. APOGEO.


  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2023-01-23]