Universitat Internacional de Catalunya

Communication and Knowledge Management

Communication and Knowledge Management
6
7886
1
First semester
FB
Social Sciences Module
Communication
Main language of instruction: Spanish

Teaching staff


Dra. MONFORTE ROYO, Cristina - cmonforte@uic.es

Dr Cristina Monforte: After classes for quick themes or questions. For a more in-deep issues it will be compulsory to ask an appointment by e-mail: cmonforte@uic.es

Mrs. Sonia de Paz: After classes for quick themes or questions. For a more in-deep issues it will be compulsory to ask an appointment by e-mail: sdepaz@uic.es

 

Introduction

Information systems are tools that allow an acquisition, storage and exploitation of knowledge, facilitate the conduct of research, the consolidation of the progress and provide the information necessary for sound management. Information systems, databases and bibliographic managers in general allow us to develop tasks and save time.

The scientific method is an important tool for the development of discipline for the nurse, which powers the generation of new knowledge.

The main objective of nursing research is improving health care outcomes and advancing knowledge and practice as a nurse.

 

Pre-course requirements

At the beginning of the course the students must meet the following requisites

  • Ability to work in a group
  • Motivation for learning and active listening
 

Objectives

  1. Understand the usefulness of statistics in the field of health, notably in the infirmary.
  2. Calculate and interpret the measurements of central tendencies, dispersion and relative position appropriate to the scale of measurement. In particular: the arithmetic mean, variance and median.
  3. Use graphical representations to present and discuss the data.
  4. Know some basic statistical methods to analyze data and express correctly your analysis.
  5. Select the appropriate test statistics to the type of hypothesis and variables to reach a statistical decision.
  6. Be able to read articles of scientific journals in the area of nursing from a statistical point of view.
  7. Student will correctly use an operating system, text editor, a database and create presentations.
  8. Students will be able to discuss the application of research results in daily practice
  9. The student will demonstrate a responsible and professional conduct in accordance with the standards of nursing practice.
  10. Develop commitment to values
  11. Develop their ability to make ethically informed choices
  12. Cultivate their sense of responsibility for their own conduct and behaviour
  13. Develop their ability to think for themselves
  14. Improve their ability to communicate, with special emphasis on listening
  15. Improve their abilities to organize and use time effectively
  16. Develop their commitment to exercise their rights and responsibilities as a citizen, contributing actively and voluntarily to the social, economic and environmental improvement.

Competences/Learning outcomes of the degree programme

  • 16. G - Know the health information systems.
  • 22. G - Use and management of information and research
  • 23. B - Ability to analyze and synthesize.
  • 24. G - Ability to work autonomously.
  • 25. E - Knowledge of the field of study
  • 6. E - Base nursing care on scientific evidence and available resources.

Learning outcomes of the subject

At the end of this course, Students will be capable of:

  • Explaining the basic elements and the steps of the scientific process.
  • Using the process of investigation as the basis for the expansion of knowledge.
  • Discussing the application of research results in daily practice.
  • Criticizing studies of nursing by applying the scientific process.
  • Students will know and learn how to use software applications that facilitate their access to training and research, as well as resources for conducting presentations of their work and scientific communications.
  • Correctly using the operating system, text editor, spreadsheet and creating multimedia presentations.
  • Setting the methodological and analytical procedure in order to respond to concrete objectives that are posed in a clinical study

Syllabus

Unit 1. Introduction to scientific methodology. Scientific concepts. Applied research in the health sciences. 

Unit 2. Scientific method. Phases of the research. Research objectives and hypotheses.

Unit 3. Databases. Bibliographic search strategies. Rules of citation and referencing.

Unit 4. Introduction to statistics. Definition of statistics. Some basic concepts.

Unit 5. Scientific communication. Structure of an article and/or oral and written scientific communication. Protocol research vs. article research. Ethical aspects linked to research. 

Unit 6. Bibliographic managers. Use of the library mega searches.

Unit 7. Evidence-based practice. Importance of research in the disciplines of nursing. 

Unit 8. Descriptive statistics. Descriptive one-dimensional: tables of frequencies, statistical measures, graphical representation. Descriptive two-dimensional. Covariance, correlation, graphical representation and contingency tables.

Unit 9. Probability. Basic concepts of probability.

Unit 10. introduction to statistical inference. Sampling. Estimates point. Confidence intervals. Test of hypothesis: null and alternative hypothesis, type of error, and significance.

Unit 11. Bivariate statistical inference. Comparison of proportions. Comparison of means. Correlation.

Unit 12. Critical reading of research with quantitative methods articles. Analysis practice.

Teaching and learning activities

In person



Teaching methodology of the theoretical part will be based on lectures, learning based problems, critical reading and group tutoring. The practical part will work through the virtual/online learning.

Classes will be attained through the following activities:

  • Face-to-face practice 
  • Project presentations
  • Organization of information: schemes, synthesis, etc.
  • Discussion
  • Critical reading
  • Bibliographic research
  • Exercises and online questionnaires 

Evaluation systems and criteria

In person



Evaluation of this course shall be carried out using the following rating system:

  • EVALUATIVE ACTIVITY 1. Group work: delivery of a search history to Pubmed. Delivery of a URL from the group work RefWorks database itself. Everything will have a total weight of 5%. Evaluates 16G, 24G, 25E and 22G competences
  • EVALUATIVE ACTIVITY 2. Group work: analysis of an article. It will have a total weight of 10%. Evaluates 16G, 24G, 25E and 22G competences
  • EVALUATIVE ACTIVITY 3. Group work: Practical exercise of statistical analysis and presentation to the classroom. Total 15%. Evaluates 16G, 24G, 25E and 22G competences
  • EVALUATIVE ACTIVITY 4. Final multiple-choice exam. It has a weight of 70% of the total grade for the course. Evaluates 16G, 24G, 25E, 22G, 23G and 6E competences.
  In addition, compulsory questionnaires will be carried out during classes that will help to modulate the grade. It will be necessary to have completed 5 of the 7 questionnaires. If the number of correct questions is greater than the incorrect ones, the final grade for the course will rise 0.5 points. In the case of not having done the 5 questionnaires, the grade will drop 1 point of the total of the subject. The associated competencies are: 16G, 24G, 25E, 22G, 23G and 6E   To pass the course it will be necessary to meet the following requirements: The average between the different percentages of the evaluative activities and the exam must provide a minimum grade of 5 out of 10. A minimum grade of 4.5 must be obtained in the final exam to be able to average with the rest of the grades.

First Resit (2ond call)

The notes of the evaluative tests 1, 2 and 3 will be saved, which will have the 15% weight of the 2ond call; in addition there will be a final exam that will have a weight of 85%.

No Honor registrations will be awarded in the first make up exam.

The points added or subtracted as a result of the completion of the questionnaires will not be applied in the 2nd call.

Third and fourth resits; and fifth and sixth (extraordinary) in the rare case they are granted:

The same requirements as in the first and second call will be followed. 

 

Honor Matrix Assignment Procedure (MH)

  1. The criterion for assigning Honorary Enrolments (MH) is based on the Excellent (9.0).
  2. The assignment is solely for the teacher and does not have to give it, even if the student has obtained a mark above 9.0.
  3. In case the teacher decides to award MH, he will not take into account the numerical mark and the highest, but will evaluate other factors. The HM might not match the highest numeric score.

Procedure for Non-presented Assignment (NP)

  1. To register an NP in the student's file, it must not have been submitted to any of the evaluation tests throughout the assignment.
  2. If a student has submitted to one of the evaluation tests, the corresponding percentages in the teaching guide will be applied, with a 0 in those not presented.
 

Procedure for plagiarism or academic fraud

Any assignment or activity (including exams) in which plagiarism, falsification or academic fraud is detected, will result in a failure of the activity and an academic sanction that will entail from the loss of enrolment rights in this subject, to the opening of a file process.

Bibliography and resources

The support material will be provided in English

Llibres de text

1. Argimón, JM, Jiménez J. Métodos de investigación clínica y epidemiológica. 3a ed. Madrid: Elsevier; 2004.

2. Armitage P, Berry G. Estadística para la investigación biomédica. 3a ed. Barcelona: Harcourt Brace; 1997.

3. Burgos R. Metodología de investigación y escritura científica en clínica. 3ª ed. Granada: Escuela Andaluza de Salud Pública; 1998.

4. Burns N, Grove SK. Investigación en Enfermería. 3ª ed.  Madrid: Elsevier; 2004.

5. Cobo E, Muñoz P, González JA, Bogorra J. Bioestadística para no estadísticos: principios para interpretar un estudio científico. Barcelona: Elsevier Masson; 2007.

6. Norman GR, Streiner DL. Bioestadística. Madrid: Mosby/Doyma; 1996.

7. Sentís J, Pardell H, Alentà H, Cobo Valeri E, Canela i Soler J. Manual de bioestadística. 3a ed. Barcelona: Masson; 2003.
  
8. Tomás-Sábado J. Fundamentos de Bioestadística y análisis de datos para enfermería. Bellaterra: Servei de publicacions de la Universitat Autònoma de Barcelona; 2009.

9. Investigación enfermería http://www.doc6.es/

10. Consorci de Biblioteques Universitàries de Catalunya http://www.cbuc.cat/

11. Base de datos de enfermería http://teledoc.urv.es/cuidatge/

12. Búsquedas http://www.ncbi.nlm.nih.gov/pubmed/

Evaluation period

E: exam date | R: revision date | 1: first session | 2: second session:
  • E1 13/01/2025 10:00h
  • E2 14/07/2025 08:00h

Teaching and learning material


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