MABIOD4600 Statistics, Quality Control and Quality Assurance Course description

In this course, students will learn about the key theories, concepts and values of nursing, and what defines nursing as an independent profession. Human beings’ fundamental needs and resources, and what promotes, impedes and maintains balance in people's fundamental needs are central aspects of the course. This forms the basis for the nurse’s duties both in the municipal and specialist health service. Furthermore, ethical perspectives and assessment, action and decision-making processes in nursing will be studied, as well as the relational responsibility of the nurse.

Admission to the programme.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

• has advanced knowledge of the selection and use of statistical methods in research and method validation
• has in-depth knowledge of systems and procedures for monitoring quality and quality assurance of analysis processes
• is capable of describing systems and processes related to the accreditation and certification of medical laboratories
• has advanced knowledge of the assessments that form the basis for the establishment of a reference area
• has advanced knowledge of how analysis methods’ specificity, sensitivity and test accuracy are decided and evaluated
• is capable of explaining the concepts predictive value, odds ratio, and ROC curves
• is capable of explaining the laws and regulations that regulate medical laboratory activities
• has advanced knowledge of how to carry out durability tests of sample material
• has advanced knowledge of analytical variation in terms of repeatability and reproducibility

Skills

The student is capable of

• applying statistical methods and tools, such as table analysis, variance analysis, correlation, and simple and multiple, linear and logistic regression
• carrying out and explaining hypothesis testing, parametric and non-parametric methods, as well as correlation and regression analysis
• using one and two-way variance analysis for repeated measurements
• assessing and discussing the importance of pre-analytical, analytical, and post-analytical sources of error related to the result/quality of the analysis
• choosing and applying statistical methods used to quality assure medical laboratories
• planning and carrying out comparisons of analysis methods and assessing measures

Competence

The student is capable of

• discussing and analysing relevant issues and actively contribute to the execution of advanced work tasks related to quality control and quality assurance in laboratories

Self-study, lectures, digital learning resources, group work, seminars with presentations, skills training and simulation.

The flipped classroom is used as a teaching method for part of the course. Digital learning resources will be made available in advance.

The following must have been completed and approved in order for a student to take the exam:

• Reflection assignment, individual assignment about expectations of own and others’ participation in group work, scope of 1,000 words (+/- 10%)
• Participation in communication training
• Participation in seminars, compulsory attendance of 80% in seminars
• Inspirational practical training, one week of practical training focusing on the nurse’s role and responsibilities. Supervised by third year students.

Home exam in groups

• Carried out in groups of 3–5 students.
• Three days
• Scope: 2,500 words (+/- 10 %).
• Individual description of own contribution to the group is attached to the assignment, max. 350 words (+/- 10%)

Resit exam: A student who fails the ordinary exam may nevertheless submit a reworked version as a resit.

All aids are permitted, as long as the rules for source referencing are complied with.

Grade scale A–F.

Two examiners will assess the exams. At least 10% of the exam papers will be assessed by an external examiner. The external examiner’s assessment shall benefit all students.