Communication and Knowledge Management

  • code 07886
  • course 1
  • term Semester 1
  • type FB
  • credits 6

Module: Social Sciences Module

Matter: Communication

Main language of instruction: Spanish

 Sem.1  MO 08:00 10:00 
 Sem.1  TH 08:00 10:00 
 Sem.1  FR 10:00 12:00 

Teaching staff

Head instructor

Dra. Cristina MONFORTE -

Office hours

Dr. Cristina Monforte: After classes for specific issues. Quotes on request by e-mail and confirmation teacher.

Dr. Jose Mª Martínez: After classes for specific issues. Quotes on request by e-mail and confirmation teacher.


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.

In addition, in this course students will have the possibility of doing residence practicum projects in NGOs or foundations (the places are limited. At the beginning of the year you will receive information about the process of selection and the different possibilities).

The solidary project of the UIC is a formative experience of integral character, promoting skills for personal development (such as responsibility, social commitment, the ability of service to society, etc.).

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


  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.


  • 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

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


Introduction to Scientific Knowledge

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

Unit 4. Databases. Bibliographic search strategies. Rules of citation and referencing.

Unit 5. Bibliographic managers. Use of the library mega searches.

Unit 6. Evidence-based practice. Importance of research in the disciplines of nursing. 


Unit 7. Introduction to statistics. Definition of statistics. Some basic concepts.

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. Concepts of probability: Bayes theorem. Probability functions. Density functions. The binomial distribution. The normal distribution. Standardization.

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

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 as well as virtual 
  • Project presentations
  • Organization of information: schemes, synthesis, etc.
  • Discussion
  • Critical reading
  • Bibliographic research
Problem Based Learning
Mater Class
Critical Reading
Group Tutorials
Virtual Learning
16. G 22. G 23. B 24. G 25. E 4. B 5. G 6. E 6

Evaluation systems and criteria

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

  • EVALUATIVE ACTIVITY 1. Test with multiple choice questionnaire. It counts as 10% of the total mark. Assesses competencies 16G, 24G, 25E, 22G, 23G and 6E
  • EVALUATIVE ACTIVITY 2. Delivery of a history of search in Pubmed and a URL of the RefWorks database. Each of the exercises counts as 5% of the total mark of the course. Total 10%. It assesses competencies 16 G, 24 G, 25E i 22 G
  • EVALUATIVE ACTIVITY 3. Statistical and analytical practice. Each of the exercises counts as 10% of the total mark of the course. Total 20%. It assesses skills 16 G, 24 G, 25E and 22 G
  • EVALUATIVE ACTIVITY 4. Final multiple-choice exam. It counts 60% of the total mark of the course. Assesses competencies 25E, 16G, 24G, 22G, 23G and 6E. To pass the course you will need to meet the following requirements: the average between the different percentages of evaluative activities and a mark of 5 out of 10 on the final exam. It is compulsory to obtain a mark of at least 4 in the final exam, in order to apply the mean with the other activities.

First Resit (2ond call)

To pass the course in the first make up exam the marks from the evaluative tests 2 and 3 will count as 10% each, the same as in the first examination. In addition there will be a final exam that counts 80%. No Honor registrations will be awarded in the first make up exam.


The final grade of this subject will be affected by the non-attendance to any of the 3 leadership tutorials of each semester in the following proportion: 0.5 points if missing in the 3 occasions; 0.4 points if you miss 2 tutorials and 0.3 if you miss 1 tutorial. This rule will apply to approved students and unca will be subject to suspension of the subject.

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. Students who wish to do so may agree with the professors the option not to do the works (activities 1 and 2) and only evaluate the subject through the partial exam (20% of the final grade) and the final exam (80% of the final grade). This option will be free decision of each student in 3rd-4th calls and students in 5th and 6th calls. They should talk with the teachers during the first two weeks of the start of the course. Once the decision has been made, there will be no change option throughout the course.


The final grade of this subject will be affected by the non-attendance to any of the 3 leadership tutorials of each semester in the following proportion: 0.5 points if missing in the 3 occasions; 0.4 points if you miss 2 tutorials and 0.3 if you miss 1 tutorial. This rule will apply to approved students and unca will be subject to suspension of the subject.

For students who perform residence practicums in this course:

The total evaluation mark of the course (mentioned above) will include 85% of the total and 15% for the residence practicum. It is an essential requirement to apply these percentages, having previously passed the total evaluation mark of the course. Students should inform Student Services of what courses you would like to apply for in their residence practicum at the beginning of the course. There are limited places of residence practicum in each course. Residence practicum information is held in Student Services.

Evaluation of the residence practicum is completed with an NGO or Foundation where the residency is carried out, and by means of a reflective journal. Students must attend training sessions prior to the completion of the residence practicum, which is led by Student Services

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. Bisquerra R, Echeverría B, Rodríguez M. Estadística Psicopedagógica. Barcelona: Promociones y Publicaciones Universitarias; 1987.

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

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

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

7. Daniel W. Bioestadística: base para el análisis de las ciencias de la salud. 4a ed. México D.F.: Limusa; 2002.

8. Dawson-Saunders E. Bioestadística médica. 4a ed. México D.F.: El Manual Moderno; 2005.

9. Manzano V, Varela J, García A, Pérez FJ. SPSS para Windows. Madrid: Ra-Ma; 1999.

10. Martínez MA, Faulín FJ, Sánchez A. Bioestadística amigable. 2ª Ed. Madrid: Díaz de Santos; 2006.

11. Mayan M. Una introducción a los métodos cualitativos. Módulo de entrenamiento para estudiantes y profesionales. México: Qual Institute Press. International Institute for Qualitative Methodology; 2001.

12. Milton JS. Estadística para biología y ciencias de la salud. 2a ed. Madrid: McGraw-Hill Interamericana; 1994.

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

14. Peña D, Romo J. Introducción a la Estadística para las Ciencias Sociales. Madrid: McGraw Hill; 1997.
15. Sánchez Carrión JJ. Manual de análisis estadístico de los datos. Madrid: Alianza Editorial; 1999.
16. Sentís J, Pardell H, Alentà H, Cobo Valeri E, Canela i Soler J. Manual de bioestadística. 3a ed. Barcelona: Masson; 2003.
17. Tomás-Sábado J. Fundamentos de Bioestadística y análisis de datos para enfermería. Bellaterra: Servei de publicacions de la Universitat Autònoma de Barcelona; 2009.

18. Investigación enfermería

19. Consorci de Biblioteques Universitàries de Catalunya

20. Base de datos de enfermería

21. Búsquedas

Evaluation period

E: exam date | R: revision date | 1: first session | 2: second session:

  • E1 13/01/2020 08:00h
  • R1 20/01/2020 14:00h
  • E2 01/07/2020 12:00h
  • R2 15/07/2020 10:00h

Teaching and learning material

            Tutorial Ofimática 
            Tutoriales Office 
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