BPVZ031c Research in midwifery - practice

Faculty of Medicine
autumn 2023
Extent and Intensity
0/1/0. 1 credit(s). Type of Completion: z (credit).
Teacher(s)
Mgr. Dana Dolanová, Ph.D. (seminar tutor)
Mgr. Bc. Iva Korábová (seminar tutor)
Guaranteed by
prof. PhDr. Andrea Pokorná, Ph.D.
Department of Health Sciences – Departments of Non-medical Branches – Faculty of Medicine
Contact Person: PhDr. Radka Wilhelmová, Ph.D.
Supplier department: Department of Health Sciences – Departments of Non-medical Branches – Faculty of Medicine
Timetable
Mon 18. 9. 8:00–10:30 A21/107, Mon 25. 9. 8:00–10:30 A21/107, Mon 2. 10. 8:00–10:30 A21/107, Mon 9. 10. 8:00–10:30 A21/107, Mon 16. 10. 8:00–10:30 A21/107, Mon 23. 10. 8:00–10:30 A21/107, Mon 30. 10. 8:00–10:30 A21/107, Mon 6. 11. 8:00–10:30 A21/107, Mon 13. 11. 8:00–10:30 A21/107, Mon 20. 11. 8:00–10:30 A21/107
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
Learning outcomes of the course unit The aim of the course is to acquire knowledge of fundamentals of scientific research and fundamentals of statistical data processing so as to create a general basis for processing and realization of the topic of midwifery research in the preparation of the bachelor thesis. Students will get an idea about the basics of research and scientific work, they will acquire basic concepts of probability and statistics and basic skills of statistical data processing. He / she will be able to perform basic research and process the obtained data and correctly interpret the acquired knowledge. All the acquired knowledge, including the basics of typography, is then practically applied to the preparation of the bachelor thesis.
Learning outcomes
Upon graduation, the student should: - know the basic forms of research, their use and benefits; - define basic research tools (questionnaire, record sheet, interview); - identify appropriate tools for basic data analysis; - list the risks of misinterpretation of the data obtained; After graduation, the student should in the field of psychomotor: - to formulate the research problem, the research question and the assumptions of the findings; - apply appropriate decision-making processes in the selection of the appropriate form of research and research instrument according to the identified problem; - interpret the basic overview of the data; - constructively critically evaluate the scientific text presented; Upon graduation, the student should have affective: - understand the principles of an ethical approach in research; - to appreciate the importance of research in midwifery.
Syllabus
  • LSeminars: Research work preparation - research, public databases, problem formulation and research questions;
  • Preparation of research work schedule, setting goals;
  • Construction of data collection tool (form: questionnaire, interview);
  • Interpretation and presentation of data;
Literature
  • CHRÁSKA, Miroslav. Metody pedagogického výzkumu : základy kvantitativního výzkumu. 2., aktualizované vydání. Praha: Grada, 2016, 254 stran. ISBN 9788024753263. URL info
  • KUTNOHORSKÁ, Jana. Výzkum v ošetřovatelství. 1. vyd. Praha: Grada, 2009, 175 s. ISBN 9788024727134. info
  • BÁRTLOVÁ, Sylva, Petr SADÍLEK and Valérie TÓTHOVÁ. Výzkum a ošetřovatelství. Vydání druhé, přepracova. Brno: Národní centrum ošetřovatelství a nelékařských zdravotnických oborů, 2008, 185 stran. ISBN 9788070134672. info
Teaching methods
class discussion, readings, writting preparations
Assessment methods
Evaluation: credit - presence
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: 10.
The course is also listed under the following terms Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, autumn 2018, autumn 2019, autumn 2020, autumn 2021, autumn 2022, autumn 2024.
  • Enrolment Statistics (autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/med/autumn2023/BPVZ031c