Introduction to priority setting in health

Ph.D. -course

Course description

Course content

This course introduces participants to the core methods of priority setting in health. Emphasis is placed on evaluating efficiency and equity in health, assessing fairness in process and distribution of health outcomes, and applying standard methods and practical tools that balance equity concerns with health maximization.

The course is organised into ten modules:

1. Priority setting at national and global levels

2. Clinical health priorities

3. Ethical theory – substantive fairness

4. Ethical theory – procedural fairness

5. Climate change and health priorities

6. Demography and epidemiology

7. Health financing

8. Health economics

9. Equity analyses

10. FairChoices: DCP Analytical Tool

Format and Workload: This is an asynchronous digital course with instruction delivered over a ten week period. Each module spans over one week and requires approximately 7.5 hours of student work. Learning activities include a combination of video lectures, readings, exercises and group work, and discussions. Students are expected to engage actively online and participate in weekly “Priority Talks” with experts, followed by collaborative group work in all modules.

Learning outcomes

Upon completing this course the candidate will have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

  1. understands the ethical, clinical, economic, and policy foundations of health priority setting at national and global levels.
  2. has knowledge of how clinical priorities at the individual and service level relate to population-level decisions and Essential Health Service Package (EHSP) design.
  3. has insight into how global challenges such as climate change, demographic and epidemiological transitions, and health financing structures shape health priorities.

Skills

The student

  1. can apply ethical theories, epidemiological and economic evidence, and equity analyses to evaluate and compare health interventions and policies.
  2. can critically analyze clinical evidence and integrate it with population-level data to inform priority setting.
  3. is able to use analytic tools (including FairChoices) and health financing concepts to support the design and revision of national essential health care packages and health technology assesments.
  4. can write a critical analysis on a chosen topic within health priority settings

General competence

The student

  1. can critically reflect on trade-offs between health maximization, fairness, sustainability, and responsiveness to clinical needs in priority setting.
  2. is capable of integrating clinical, ethical, economic, and epidemiological perspectives across layers (from bedside to policy) to contribute to fair, transparent, and legitimate processes of health priority setting in practice.

Study period

Spring

Credits (ECTS)

5 ECTS

Course location

Online (mostly asyncronized but with syncronized weekly “Priority Talks” with experts, followed by collaborative group work)
Language of instruction
English
Pre-requirements

Required previous knowledge: Basic skills in Excel software. Good working knowledge of English (TOEFL score of at least 550 points paper-based or 213 points computer-based, or an equivalent approved test). Economists, other social scientists, medical doctors, ethicists, psychologists, nurses, dentists and others with training at the MSc level can be admitted to the PhD level course.

Recommended previous knowledge: Experience with priority setting in health. Basic understanding of theories of distributive justice. Basic skills in R software.

Part of training component
Yes, the course might be part of training components
Form of assessment

Assessment format consists of:

• Three portfolio assessments worth 3 ECTS credits

• One essay worth 2 ECTS credits

Students will be assessed through, and must pass, three portfolio assignments, in addition to submitting an essay on a self-chosen topic that the student finds particularly difficult (or challenging?), with relevance to priority setting in health care. The essay must be based on literature and methodology relevant to the chosen topic, and should be between 3,000 and 4,000 words (approximately 8–11 pages). It must be submitted within four weeks after the course has ended.

Who may participate
PhD students at UiB will be given priority, as will PhD students from other institutions when they are part of programs where UiB has formalized educational cooperation.
Programme
The course instruction spans over 10 weeks. It is fully digital and primarily asynchronous, with some synchronous joint sessions. Each module is designed to be completed within one week, and you must finish one module before progressing to the next. The learning experience combines video lectures, reading materials, active participation in discussions and group work, as well as hands-on data analysis using computers. Participants are required to use their own laptops with R and RStudio pre-installed.
Academic responsible
Kjell Arne Johansson and others
Reading list
Reading list in Mitt UiB