SYKKPRA60B Nursing for Patients with Complex Health Challenges Course description

In this course, nursing of patients in the context of care and rehabilitation is a key area. The course covers the nursing of patients with complex health challenges on short-term or long-term stays in different institutions. Students will gain experience of communicating and interacting with patients and next-of-kin related to long-term health challenges. Mapping of loss of function, challenges related to key patient phenomena and cognitive deficits will be part of the course. Emphasis is also placed on attention to the patients’ background as a basis for nursing. Management, organisational competence, ethics and work on the nurse's pedagogical function are also included.

Passed course:

• SYKP/SYKP1000 Theoretical Foundations of Nursing/Fundamentals of Nursing 1, 13 credits
• SYKK/SYKP1100 Anatomy, Physiology and Biochemistry, 12 credits
• SYKK/SYKP1200 Microbiology and Infection Control, 5 credits
• SYKK/SYKP1300 Pharmacology and Drug Administration, 5 credits
• SYKK/SYKP1400 Diseases and Health Deficits, 10 credits
• SYKK/SYKPPRA10 The Fundamentals of Nursing/2, 15 credits
• SYKK/SYKPPRA20 Nursing Patients with Acute, Critical and Chronic Diseases/1, 20 credits
• SYKK/SYKPPRA30K Decision-making in Nursing and Patient Safety/Nursing Patients with Acute, Critical and Chronic Diseases 2, 10 credits

or equivalent

The course builds on a course in social science research methods at bachelor's degree level and a foundation course in statistical methodology. The course provides in-depth knowledge of key quantitative analysis methods in economics and social science.

The course covers the following topics: the research proces (use of models, forms of validity, causality, reporting and presentation), quantitative data (different data sources: experiment, survey, naturally occurring data and register data; multi-item measures: formative and reflective measurement models), analyses (multippel regression analysis (OLS), logistic regression analysis, factor analysis, reliability analysis).

Through a series of exercises, students develop their skills in practical use of quantitative data. Knowledge of spreadsheets (such as Excel) or statistical software (like SPSS, Jamovi, Stata or R) is an advantage.

This course is a compulsory common course that students are recommended to take in the first semester of the programme.

Language of instruction is English.

None

After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

• in-depth knowledge of relevant analysis methods
• insight into the use of quantitative data in academic work and professional life
• an understanding of how models are used in social sciences
• an understanding of the importance of relating the research question, context and data to the choice of method

Skills

The student is capable of

• analyzing quantitative data to answer research questions
• relating research questions, context and data to the choice of method
• planning own quantitative research and assess the results of others

General competence

The student can

• assess relevant issues related to quantitative research methods
• apply knowledge and skills in obtaining and analyzing relevant data sources
• interpret and communicate results from quantitative empirical investigations
• communicate about quantitative issues with specialists and to the general public

Combined assessment and examination

Part 1 Assessment of practical training.

The assessment takes its point of departure in given criteria based on learning outcomes for the course, assessment criteria, the continuous assessment, the suitability assessment and compulsory activities carried throughout the practical training. Students’ practical training can only be assessed if their attendance is sufficiently high (90%). For more information, see the general part of the programme description about the assessment of practical training.

If the student has failed the practical training, the whole practical training course must be retaken. This includes associated requirements.

Part 2 Individual home examination

• Three days
• Scope: 2,500 words (+/- 10 %)

Part 1 and part 2 can be taken independently of each other. The student must have obtained a pass on both parts in order to pass the course as a whole and earn the credits.

The following coursework requirements must have been approved in order for the student to take the exam:

• Coursework 1: Five written assignments with a scope of 4-7 pages each. The assignments are distributed throughout the semester. Each coursework requirement involves carrying out and interpreting quantitative analyses in line with topics discussed at the lectures. The coursework requirements must be submitted in groups of 5-6 participants.

All required coursework must be completed and approved by the given deadline in order for the student to take the exam. If one or more coursework requirements have not been approved, the student will be given one opportunity to submit an improved version by the given deadline.

The exam in the course is a supervised exam of 4 hours.

The following aids are permitted:

• Calculator (see regulations for the use of calculators in the programme description)

Grade scale A-F