XSL Content

Information Systems and Data Analysis26443

Centre
Faculty of Medicine and Nursing. Gipuzkoa Department
Degree
Bachelor's Degree in Nursing
Academic course
2023/24
Academic year
1
No. of credits
6
Languages
Spanish
Basque
Code
26443

TeachingToggle Navigation

Distribution of hours by type of teaching
Study typeHours of face-to-face teachingHours of non classroom-based work by the student
Lecture-based4050
Seminar1020
Applied computer-based groups1020

Teaching guideToggle Navigation

Description and Contextualization of the SubjectToggle Navigation

The subject Information Systems and Data Analysis is a basic subject of the academic fields. The curricular Decree for bachelor of the Basque Autonomous Community is the starting point. Therefore, previously, students must have the following knowledge:

- Use of new technologies (operating systems, extension of files, email managers, management of files in the cloud, etc.)

- Use of word processors (formats and styles of the document, header and footer, indexes, etc)

- Use of spreadsheets (organization by cells, rows and columns, functions and basic operations, creation and modification of graphics, etc.).

- Basic mathematical concepts (basic operations, absolute values, relative, natural numbers, integers, rational, irrational, etc.).

- Creation of a technical text (Using reliable information sources and their corresponding bibliographic references).



As the expert Miguel Angel Zabalza indicates, evidence-based science is basic in the development of the academic curriculum, since it is transversal and must be systematized. The first steps in order to achieve it will be taken in this subject.



Throughout the semester students will work on the methodological basis of qualitative and quantitative research, information searches, the use of bibliographic references, the organization of information systems in the field of health sciences, the synthesis of information, data organization and its presentation, basic concepts of demography and biostatistics, care based on scientific evidence and critical reading.

Skills/Learning outcomes of the subjectToggle Navigation

E.1.- To Develop a process of search, selection, recovery, management and use of the literature generated from a research question, demonstrating skill in the management of databases and basic information of the social health field.

E.2.- To analyze the data used for scientific production in the health sciences by interpreting its adequacy and meaning.

E.3.- To perform a critical reading of research articles in Health Sciences, analyzing the methodological quality and the adequacy and interpretation of the statistics in order to assess the quality of the scientific literature.

Theoretical and practical contentToggle Navigation

Unit 1.- INTRODUCTION TO THE INVESTIGATION

1.1.- Types of research. Introduction to quantitative and qualitative research. Professional secrecy and Data Protection Law.

1.2.- Information systems in the field of health. CMBD. EDO.

1.3.- Search for information. Data sources in the field of health.

1.4.- Search and bibliographic management: scientific databases and bibliographic management programs.

1.5.- Use of bibliographical references. Vancouver Standards; APA; Harvard; ISO 690 and 690-2.



Unit 2.- DATA ANALYSIS

2.1. Descriptive statistics: variables, scales, measures of central tendency and measures of dispersion. Organization of the data and graphic representation.

2.2.- Frequency indicators of the disease.

2.3.- Distributions. Standardized normal curve. Proportions.

2.4.- Inferential statistics. Sampling techniques Law on equality between women and men and sampling. Inference techniques.

2.5.- Statistical tests of contrast.



Unit 3- SCIENTIFIC EVIDENCE

3.1.- Introduction to care based on scientific evidence.

3.2.- Critical reading of a clinical trial.

3.3.- Critical reading of a systematic review





MethodologyToggle Navigation

Active methodologies and the flipped classromm model (inverted class) will be used, that is, the students will be responsible for their own learning process, working on all the skills through exercises and activities. For this, students must see and prepare the theoretical-practical content at home, to work on the practical content in class and in the seminars.

* The students will analyze, understand, summarize and internalize the theoretical concepts.

* Outside of class hours, you will work on the theoretical concepts and the computer tools to be used for their application.

* In the master classes, visual maps will be made in groups using Visual Thinking.

* The seminars will be held in small groups in the computer room. In these seminars, students will work on bibliographic search and management, organization of information, statistical treatment of data and critical reading. In all the seminars, the first part will be guided by the teaching staff and the second part the students will have to carry out the exercises arranged autonomously.

* Self-assessment: students will self-assess all their exercises, to be aware of their achievements in the learning process.

* Documentation will be made available to students on the eGela digital platform for monitoring the theoretical-practical part of the subject, such as the exercises carried out.

* Tutorials: to solve doubts, make recommendations to prepare the subject or help in the learning process.

Assessment systemsToggle Navigation

  • Continuous Assessment System
  • Final Assessment System
  • Tools and qualification percentages:
    • Multiple-Choice Test (%): 40
    • Realization of Practical Work (exercises, cases or problems) (%): 60

Ordinary Call: Orientations and DisclaimerToggle Navigation

In accordance with the Protocol on academic ethics and prevention of dishonest or fraudulent practices in the evaluation tests and in the academic work of the UPV / EHU, the subject's lecturers on the first day of class, in the presentation of the student's guide, will specify as clearly as possible the materials, resources and technological resources, or otherwise, whose use is allowed in the development of the evaluation tests of the subject.



Assessment will be continuous. In order to pass this subject, it is necessary to pass all the competences. The mark will be the weighted average mark obtained in the three competences of the subject. If a competency is not passed, the grade will be given for the failed competency. If two or all three competences are not passed, the weighted average mark for the failed competences will be awarded.

The mark for each competency is summative and weighted for each exercise. In order for the marks obtained in any exercise to be added together, at least 30% of the maximum mark for that exercise must be obtained. The value assigned to each competency is as follows:



Translated with www.DeepL.com/Translator (free version)



E.1 Carry out a process of bibliographic search, selection, retrieval and management, demonstrating ability in the use of basic databases in the field of health. Assessment in the final mark 30% (questionnaires, seminars... [60%] + exam [40%]).

E.2.- Analyse the data used in scientific production, interpreting their adequacy and significance, in order to assess the quality of the literature and their applicability in practice. Assessment in the final mark 40% (questionnaires, seminars... [60%] + exam [40%]).

E.3.- Perform a critical reading of research articles in Health Sciences, in order to discern the quality of scientific production and apply it in clinical practice if appropriate. Assessment in the final mark 30% (questionnaires, seminars... [60%] + exam [40%]).



Translated with www.DeepL.com/Translator (free version)



FINAL EVALUATION SYSTEM:

Students will have the right to be evaluated through the final evaluation system. To this end, students must submit a written opt-out to the course teaching staff. The deadline for submitting this request is November 10th.

Through this final test it will be verified that the student has overcome the knowledge and competences of the subject. This final test will consist of 3 exercises to evaluate the competencies E1, E2, E3.

E1: To complete a questionnaire on the use of bibliographic and data sources and carry out a bibliographic search in the most important databases of the health system, managing this information with computer tools and using bibliographic references in a text + questionnaire. Value in the mark: 30%.



E2: To perform a search of quantitative data in health science data sources. Use data for the calculation of basic statistics and prepare a graph of them. With a given data series, differentiate the variables, identify the hypotheses, choose the appropriate statistical tests of contrast, obtain the results of them and interpret them + questionnaire. Value in the mark: 40%.



E3. To complete a questionnaire about care based on scientific evidence and perform a critical reading of an article + questionnaire. Value in the mark: 30%.

If a competence is not passed, the qualification of the competence will be suspended. If two or all three competences are not passed, the average mark of suspended competences will be set.



RESIGNATION TO THE ORDINARY EVALUATION CALL:

In the case of continuous evaluation, in accordance with the article 12.2 of the regulations of the evaluation of students in the official degrees, if the weight of the final test is equal to or less than 40% of the grade of the subject, students may renounce the call. At least, the resignation must be communicated in a period that will be up to one month before the end date of the teaching period of the subject. This resignation must be submitted written to the responsible of the subject.

In the case of the final evaluation, the failure to show up on the test on the official exam date will automatically cancel will resing the corresponding call.

Extraordinary Call: Orientations and DisclaimerToggle Navigation

In order to pass the subject, it is necessary to pass all the competences.

The evaluation of the subjects in the extraordinary calls will be made exclusively through the final evaluation system.

The positive results obtained by the students during the course may be retained. So, the students that in the ordinary call have followed the continuous evaluation, in the extraordinary call must perform the tests corresponding to the competences that have not been passed.

Through this final test it will be verified that the students have passed the knowledge and competences of the subject. This final test will consist of 3 exercises to evaluate the competences E1, E2, E3.To overcome this subject it is necessary to pass all the competences.



E1: To complete a questionnaire on the use of bibliographic and data sources and carry out a bibliographic search in the most important databases of the health system, managing this information with computer tools and using bibliographic references in a text + questionnaire. Value in the mark: 30%.



E2: To perform a search of quantitative data in health science data sources. Use data for the calculation of basic statistics and make a graph with them. With a given data series, differentiate the variables, identify the hypotheses, choose the appropriate statistical tests of contrast, obtain the results of them and interpret them + questionnaire. Value in the mark: 40%.



E3. To complete a questionnaire about care based on scientific evidence and perform a critical reading of an article + questionnaire. Value in the mark: 30%.

If a competence is not passed, the qualification of that competence will be suspended. If two or all three competences are not passed, the average mark of the suspended competences will be set.



RESIGNATION TO THE EXTRAORDINARY CALL:

Failure to submit to the test set on the official exam date will automatically waive the corresponding call.



Compulsory materialsToggle Navigation

-Processor of texts (Word)
-Sheet calculation (Excel)
-Statistical program (SPSS)
-Bibliographic manager on-line (Refworks)
-Databases common in the field of health sciences

BibliographyToggle Navigation

Basic bibliography

-Hernández R, Fernández-Collado C, Baptista P. Fundamentos de metodología de la Investigación. 4ª Ed. Madrid: McGraw Hill; 2007.



-Iñesta A. Webs y buscadores en ciencias de la salud [Internet]. 2ª Ed.Madrid: Escuela Nacional de Sanidad-Instituto de Salud Carlos III; 2012 [acceso: 05/05/2015] Disponible: http://gesdoc.isciii.es/gesdoccontroller?action=download&id=20/12/2012-c4cf662b7d



-Fresquet J.L. Internet para profesionales de la salud[Internet]. Barcelona: Fundación Uriach; 2008 [acceso: 05/05/2015]. Disponible: http://issuu.com/fundacionuriach/docs/monograficos1].



-Argimon, J.M.; Jiménez, J.; Martín Zurro, A. y Vilardell, M. Publicación científica biomédica. Como escribir y publicar un artículo de investigación. Madrid: Elsevier. 2010.



-Comité Internacional de Editores* de Revistas Médicas (ICMJE). Requisitos de uniformidad para manuscritos enviados a revistas biomédicas: Redacción y preparación de la edición de una publicación biomédica. [Última actualización: marzo



2007; acceso 05/05/2015].]. Disponible: http://www.metodo.uab.es/enlaces/2006%20Requisitos%20de%20Uniformidad.pdf



-American Psychological Association. Manual de Estilo de Publicaciones de la APA: Versión Abreviada. 2ªEd. Mexico DF: El Manual Moderno: 2010.



-Pastor-Barriuso R. Bioestadística[Internet]. Madrid: Escuela Nacional de Sanidad y Centro de Epidemiologica, Instituto de Salud Carlos III; 2012 [acceso: 05/05/2014]. Disponible en: http://gesdoc.isciii.es/gesdoccontroller?action=download&id=03/06/2013-7dd67975c5



-Cobo E. Bioestadística para no estadísticos. Bases para interpretar artículos científicos. Madrid: Elsevier; 2007.



-Zupiria X. Estatistika[Internet]. 4. Ed. Bilbao: UPV/EHU; 2009 [acceso: 05/05/2015]. Disponible:

http://www.ehu.es/xabier.zupiria/liburuak/ESTATISTIKA/4edizioa/



-Arostegui I, Urkaregi A. Bioestatistika: Oinarrizko ikastaroa[Internet]. Leioa: UPV/EHU. 2014 [Acceso: 05/05/2015]. Disponible: http://testubiltegia.ehu.es/Bioestatistika-oinarrizko-ikastaroa/bioestatistika-oinarrizko-ikastaroa.pdf



-Barandiaran M; Orueta MI. Estatistika deskribatzailea excel-en bidez. [Internet]. Leioa: UPV/EHU. 2009 [acceso: 05/05/2014]. Disponible: http://testubiltegia.ehu.es/Estatistika-Deskribatzailea/estatistika-deskribatzailea-excel-bidez.pdf



-Merino M. Estatistika: SPSS praktikak. [Internet]. Leioa: UPV/EHU. 2011 [acceso: 05/05/2014]. dispoible: http://testubiltegia.ehu.es/Estatistika-spss-praktikak/deskarga



-Juaristi P. Aldagai bakarreko estatistika deskribatzailea eta inferentziala gizarte zientzietan: Teoria eta adibideak. [Internet]. Leioa: UPV/EHU. 2013 [acceso: 05/05/2014]. Disponible: http://testubiltegia.ehu.es/Datuen-kudeaketa



-Latasa I. Estatistikaren zergatiak eta nolakoak: aldakortasun analisiari buruzko gidaliburua. [Internet]. Leioa: UPV/EHU. 2009 [acceso: 05/05/2014]. Disponible: http://testubiltegia.ehu.es/Estatistikaren-zergatiak/deskarga



-Pearson, A. Field, J. Jordan, Zoe. Práctica clínica basada en la evidencia en enfermería y cuidados de la salud. Madrid: Mc Graw Hill; 2008.



-Vallin J. La Demografía. Alianza editorial. Madrid 1996.



-Alonso P; Ezquerro O; Farques I; Garcia JM; Marzo M; Navarra M; et als. Enfermería basada en la evidencia. Hacia la excelencia en los cuidados. Madrid: Difusión Avances de Enfermería; 2004[Acceso: 05/05/2015]. Disponible: http://cuidados20.san.gva.es/documents/16554/0/Enfermer%C3%ADa+Basada+en+la+Evidencia.pdf



-Díaz J. Guía práctica de lectura crítica de artículos científicos originales en ciencias de la salud. Madrid: Instituto Nacional de Gestión Sanitaria; 2010 [acceso: 05/05/2015]. Disponible: http://www.ingesa.msssi.gob.es/estadEstudios/documPublica/internet/pdf/Guia_practica_de_lectura.pdf

In-depth bibliography

-Gerrish K, Lacey A. Investigación en enfermería. 5ª Ed. Madrid: Mc Graw Hill; 2008.

-HunglerBP. Polit D. Investigación científica en ciencias de la salud. 6ªed. México: Mc. Graw-Hill; 2000

-Pineda EB; Alvarado E L; Canales F. Metodología de la investigación. Manual para el desarrollo de personal de salud. 2ªed. Washington DC: OPS. 1994

-Rodigou M; Paulín H (Cords). Coloquios de investigación cualitativa. Subjetividades y procesos sociales. Cordoba: Universidad Nacional de Córdoba 2011

-Díaz VP. Metodología de la investigación científica y bioestadística para profesionales y estudiantes de Ciencias de la Salud. 2ª ed. Santiago de Chile: RIL. 2009

-Santos FX, Rodríguez CA, Rodríguez R. Metodología Básica de investigación en Enfermería. Madrid: Díaz de Santos; 2004

-Cabrero J, Richart M. Investigar en enfermería. Concepto y estado actual de la investigación en enfermería. Alicante: Universidad de Alicante; 2001

-Burns N; Grove SK. Investigación en Enfermería. Madrid:Elsevier; 2004

-Fortín MF. El proceso de Investigación: de la concepción a la realización. Mexico D.F: McGraw-Hill. Interamericana; 1999

-Prieto L.; Herranz I. ¿Qué significa estadísticamente significativo?: La falacia del criterio del 5% en la investigación científica. Madrid: DíazSantos; 2005

-Barandiaran M; Orueta MI. Estatistika deskribatzailea excel-en bidez. Leioa: EHU. 2009. Disponible en: http://testubiltegia.ehu.es/Estatistika-Deskribatzailea/estatistika-deskribatzailea-excel-bidez.pdf

-Merino M. Estatistika: SPSS praktikak. Leioa: EHU. 2011. En: http://testubiltegia.ehu.es/Estatistika-spss-praktikak/deskarga

-Juaristi P. Aldagai bakarreko estatistika deskribatzailea eta inferentziala gizarte zientzietan: Teoria eta adibideak.. Leioa: EHU. 2013. En: http://testubiltegia.ehu.es/Datuen-kudeaketa

-Martín A; Luna del Castillo JD. Bioestadística para las ciencias de la salud. Madrid: Norma; 2004

-Livi M. Introducción a la demografía. Barcelona: Ariel; 2000

Journals

-MESH: http://www.ncbi.nlm.nih.gov/mesh
-DECS: http://decs.bvs.br/E/homepagee.htmm
-RefWorks: https://www.refworks.com/; https://www.refworks.com/es/
UPV/EHUko Datu baseak http://www.ehu.eus/es/web/biblioteka/datu-baseen-aurkibide-alfabetikoa
-PubMed: http://www.ncbi.nlm.nih.gov/pubmed
-Tripdatabase: http://www.tripdatabase.com/
-Biblioteca Virtual de la Salud (Metabuscador): http://regional.bvsalud.org/php/index.php?lang=es
-EMBASE: http://www.elsevier.com/online-tools/embase
-NHS Evidence: http://www.evidence.nhs.uk/
Proquest central: http://search.proquest.com/index?accountid=17248OVID: http://ovidmd.ovid.com/Home
-Scopus: http://www.scopus.com/
-CINAHL (EBSCOhost): http://web.b.ebscohost.com/ehost/search/advanced?sid=206218cb-26bc-4738-882c-
804eb206aa86%40sessionmgr111&vid=3&hid=125
-Up To Date: http://www.uptodate.com/home
-Joanna Briggs Institute: http://es.connect.jbiconnectplus.org/ Dialnet: http://dialnet.unirioja.es/
-CSIC: http://bddoc.csic.es:8085/index.jsp
-IBECS-SCIELO: http://www.scielo.org/php/index.php?lang=es
-Cochrane Plus: http://www.bibliotecacochrane.com/ Cuiden: http://www.index-f.com/new/cuiden/
-EnFisPo: http://alfama.sim.ucm.es/isishtm/enfispo/
-DOCUMED: http://www.uv.es/~docmed/documed/documed.html
-MEDES: https://medes.com/Public/Home.aspx
-MEDICAL IMAGING: http://www.medicalimaging.org/about-mita/medical-imaging-primer/
-IKERE: https://10.ikere.net/Osakidetza/HospitalDonostia/Ikere.php
-PREEVID: https://www.murciasalud.es/preevid.php
-Visible body: http://www.visiblebody.com/index.html
-Banco de Imágenes de la Medicina Española: http://www.bancodeimagenesmedicina.es/ SPRINGER- Imágenes: http://www.springerimages.com/
-BIOMED: http://www.biomed-search.com/
-UCSD. Catalog of clinical images: http://meded.ucsd.edu/clinicalimg/ Biology image library: http://www.biologyimagelibrary.com/sub

Web addresses

-BEHAGI: Gipuzkoako gizarte behatokia: http://www.behagi.net/
-GAINDEGIA: Observatorio para el desarrollo socio-económico de Euskal-Herria: http://www.gaindegia.eus/
-EUSTAT: www.eustat.es
-INE: http://www.ine.es/
-EUROSTAT: http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/
-OSAKIDETZA: www.osakidetza.net
-MINISTERIO DE SANIDAD http://www.msssi.gob.es/
-Instituto de Salud Carlos III : http://www.isciii.es/
-Guías clínicas del Sistema Sanitario de España: http://portal.guiasalud.es/web/guest/home
-Unión Europea. Salud: http://ec.europa.eu/dgs/health_consumer/index_es.htm
-Organización Mundial de la Salud: http://www.who.int/es/
-Centers for Disease Control and Prevention: http://www.cdc.gov/
-SIIS: http://www.siis.net/es/
-SPSS programa: http://www-01.ibm.com/software/analytics/spss/
-FISTERRA: http://www.fisterra.com/formacion/metodologia-investigacion/
http://www.hrc.es/bioest/M_docente.html
NANDA: http://nanda.es/
-NNT: http://www.nnnconsult.com/index
-International Committee of Medical Journal Editors: http://www.icmje.org/
-APA: http://www.apastyle.org/
-CASPe: http://www.redcaspe.org/
-Investigación en cuidados: http://www.investigacionencuidados.es/bibliotecametodologica/
-Observatorio de desigualdades sociales en salud: http://www.ods-ciberesp.org/
-Bioestadística para no estadísticos: http://bioestadistica.upc.edu/MaterialDocente
-Salud conectada: http://saludconectada.com/
-Ebevidencia: http://ebevidencia.com/
-Unidad de Bioestadística. Hospital Universitario Ramón y Cajal. http://www.hrc.es/investigacion/unidadbio_enlaces.htm
-Apuntes de demografía: http://apuntesdedemografia.com/

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  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (2)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (3)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (4)

32 Teórico (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
2-2

12:00-13:00 (1)

2-5

12:00-14:00 (2)

2-16

11:00-12:00 (3)

7-13

12:00-14:00 (4)

15-15

12:00-14:00 (5)

Teaching staff

Classroom(s)

  • AULA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)
  • AULA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (2)
  • AULA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (3)
  • AULA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (4)
  • AULA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (5)

32 Seminar-1 (Basque - Mañana)Show/hide subpages

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5-5

08:00-09:00 (1)

7-13

08:00-09:00 (2)

15-16

08:00-09:00 (3)

Teaching staff

Classroom(s)

  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (2)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (3)

32 Seminar-2 (Basque - Mañana)Show/hide subpages

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WeeksMondayTuesdayWednesdayThursdayFriday
5-14

09:00-10:00 (1)

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Classroom(s)

  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)

32 Seminar-3 (Basque - Mañana)Show/hide subpages

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WeeksMondayTuesdayWednesdayThursdayFriday
5-14

15:00-16:00 (1)

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Classroom(s)

  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)

32 Applied computer-based groups-1 (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
5-5

09:00-10:00 (1)

7-13

09:00-10:00 (2)

15-16

09:00-10:00 (3)

Teaching staff

Classroom(s)

  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (2)
  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (3)

32 Applied computer-based groups-2 (Basque - Mañana)Show/hide subpages

Calendar
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5-14

10:00-11:00 (1)

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Classroom(s)

  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)

32 Applied computer-based groups-3 (Basque - Mañana)Show/hide subpages

Calendar
WeeksMondayTuesdayWednesdayThursdayFriday
5-14

16:00-17:00 (1)

Teaching staff

Classroom(s)

  • AULA DE INFORMATICA - FACULTAD DE MEDICINA Y ENFERMERIA-SECCION GIPUZKOA (1)