Programplaner og emneplaner - Student
MAVIT5700 Pain - Multidimensional Assessment and Health Professional Interventions Course description
- Course name in Norwegian
- Smerte - multidimensjonal vurdering og helsefaglige tiltak
- Study programme
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Master's Programme in Health Sciences - specialisation in Physiotherapy for Children and AdolescentsMaster's Programme in Health Sciences - specialisation in Physiotherapy for the older adultMaster's Programme in Health Sciences - specialisation in Rehabilitation and HabilitationMaster's Programme in Health Sciences - specialisation in Nursing; Clinical Research and Professional DevelopmentMaster's Programme in Health Sciences - specialisation in Physiotherapy for Musculoskeletal HealthMaster's Programme in Health Sciences - specialisation in Psychomotor PhysiotherapyMaster's Programme in Health SciencesMaster's Programme in Health Sciences - specialisation in Occupational Therapy
- Weight
- 10.0 ECTS
- Year of study
- 2025/2026
- Programme description
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- Course history
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Introduction
Language of instruction: Norwegian
This course covers theories and models used to understand the neurophysiological basis of pain and how physiological and sociocultural factors affect the experience of pain. It has a focus on how acute pain conditions can develop into persistent and long-term pain, and on how to carry out a multidimensional assessment, implement treatment measures and/or preventive interventions and evaluation.
Recommended preliminary courses
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 has
- a theoretical understanding of quantitative methods for analyzing data
- an understanding of the role of empirical evidence in evaluating economic, managerial, and business problems
- an understanding of the strengths and weaknesses of different statistical methods
Skills
The student can
- formulate empirical questions
- gather, obtain, and organize quantitative data
- conduct statistical analysis using software
- interpret statistical results
General competence
The student can
- think critically and understand the role of assumptions in arguments
- communicate effectively about economic, managerial, and business issues
- develop a well-organized argument that states assumptions and hypothesis, which are supported by evidence
- use and appropriately cite different data sources
Required preliminary courses
The student must have been admitted to the Master’s Programme in Health Sciences.
Learning outcomes
After completing the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student
- can assess key theories related to pain in young people, adults and the older adults
- can discuss approaches to assessing pain and appropriate interventions provided by healthcare professions
- can critically assess theories on motivation and coping with respect to long-term pain conditions
- can assess the significance of a culture and gender perspective in relation to pain
Skills
The student
- can apply relevant theories and models on pain
- can interpret the results of multidimensional assessments of people with pain
- can critically reflect on different interventions for long-term pain conditions
General competence
The student
- can describe key aspects of pain theories
- can implement knowledge about multidimensional assessments of pain conditions
- can disseminate research-based knowledge on the examination and treatment of pain
Teaching and learning methods
The course will use varied, student-active work methods. Work methods comprise lectures, flipped classroom, seminars, presentations, group work and self-study. Presentations at the seminars are important to support the continued learning process and communication skills after the course.
Teaching is organised as two one-week sessions on campus.
Course requirements
None.
Assessment
Individual home examination over 14 days. Scope: 3,000 words (+/- 10%).
If the course is taught in English, students can also choose to write/conduct the examination in a Scandinavian language (Norwegian, Swedish or Danish).
Permitted exam materials and equipment
All aids are permitted, as long as the rules for source referencing are complied with.
Grading scale
This course aims to provide students with an understanding of how data and statistical analysis can improve economic, managerial and business decision making. Students will learn how to develop empirical questions, collect and organize relevant quantitative data, apply appropriate statistical methods, and ultimately, make better business and policy decisions. The course will draw on a wide range of business and economic applications, such as finance, advertising, internet retailing, and human resources.
Language of instruction is English.
Examiners
All answers are assessed by one examiner.
An external examiner is used regularly, at a minimum of every third completion of the course. When selecting answers for external evaluation, a minimum of 10 percent of the answers shall be included, with no fewer than 5 answers. The external examiner’s assessment of the selected answers shall benefit all students.
Overlapping courses
The course will be taught through lectures and in-class exercises. The course will also make use of software for data analysis.