Doctoral Studies: Health and Welfare with Focus on Evidence-Based Practice

Contribute to the development of healthcare and ensure that the results of research serve to benefit society at large. You can graduate with either a licentiate degree or a doctoral degree in care sciences.

The field of study Health and Welfare with Focus on Evidence-Based Practice concerns the work being done at both individual and societal levels to promote people's health and social well-being. It involves the development of knowledge, the summary and critical awareness of knowledge, the implementation of evidence-based knowledge, and the process evaluation of evidence-based practice.

The aim of the doctoral studies programme is to develop the competence of doctoral students so that they can build on the foundations for evidence-based knowledge and fill identified knowledge gaps. The research is primarily oriented towards the research conducted in our four research centres:

The degree awarded is in Health Sciences.

The focus of studies is on complex processes in health care and the welfare sector involving various perspectives on health. Care sciences is inter-disciplinary by nature, and grounded on knowledge and methods from several academic disciplines. Doctoral students in this field of study can have a range of professional backgrounds: for example, nurse, midwife, physiotherapist, occupational therapist, doctor, and social worker.

Evidence-based health and welfare practice involves the application of the best available scientific knowledge together with professional experience and an understanding of the individual client's situation, experience, and preferences so that care decisions can be reached. To meet the complex needs within the health and welfare sector, knowledge needs to be developed, assessed, and implemented to enhance health and prevent illness.

Doctoral Programme Objectives

Doctoral studies in this field aim to develop the ability and skills of doctoral students to build on the foundations for evidence-based knowledge through original studies; systematic literature searches; synthesis and critical review of identified scientific knowledge; the way in which evidence-based knowledge can be implemented in the health and welfare sector; and the way in which its applications can be evaluated. The programme will support doctoral students in such a way that they are able to apply scientific theory, design, methods, and analysis with consideration given to quantitative and qualitative aspects, research ethics, and scientific presentation and communication.

Process and Application for Admission

Doctoral Courses

Autumn 2023 (week 35), 50%
Distance, Flexible (Falun), in English
Autumn 2023 (week 35), 50%
Distance, Flexible (Falun), in English
Semester:
Autumn 2023
Start week:
Start: week beginning 28 Aug 2023
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
HTVV3DHF
Entry Qualifications:
  • To be admitted, applicants must meet the general entry requirements for doctoral studies. Persons who have not been admitted to a doctoral programme at Dalarna University are admitted to the course depending on space availability.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

The course has no instances planned right now.
Spring 2023 (week 13), 50%
Distance, Flexible (Falun), in English
Spring 2024 (week 13), 50%
Distance, Flexible (Falun), in English
Spring 2023 (week 13), 50%
Distance, Flexible (Falun), in English
Semester:
Spring 2023
Start week:
Start: week beginning 27 Mar 2023
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
VTVV3A2R
Entry Qualifications:
  • Eligible students are those who fulfil the general requirements for PhD studies. Students must be familiar with the basics of qualitative and quantitative research before joining the course.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

Spring 2024 (week 13), 50%
Distance, Flexible (Falun), in English
Semester:
Spring 2024
Start week:
Start: week beginning 25 Mar 2024
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
VTVV3D5V
Entry Qualifications:
  • Eligible students are those who fulfil the general requirements for PhD studies. Students must be familiar with the basics of qualitative and quantitative research before joining the course.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

7,5 Credits, Third Cycle
Spring 2023 (week 3), 50%
Distance, Flexible (Falun), in English
Spring 2024 (week 3), 50%
Distance, Flexible (Falun), in English
Spring 2023 (week 3), 50%
Distance, Flexible (Falun), in English
Semester:
Spring 2023
Start week:
Start: week beginning 16 Jan 2023
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
VTPA3A2Q
Entry Qualifications:
  • General entry requirements for postgraduate studies.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

Spring 2024 (week 3), 50%
Distance, Flexible (Falun), in English
Semester:
Spring 2024
Start week:
Start: week beginning 15 Jan 2024
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
VTPA3D5U
Entry Qualifications:
  • General entry requirements for postgraduate studies.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

Autumn 2023 (week 45), 50%
Distance, Flexible (Falun), in English
Autumn 2024 (week 46), 50%
Distance, Flexible (Falun), in English
Autumn 2023 (week 45), 50%
Distance, Flexible (Falun), in English
Semester:
Autumn 2023
Start week:
Start: week beginning 6 Nov 2023
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
HTVV3D5Y
Entry Qualifications:
  • Eligible students are those who fulfil the general requirements for PhD studies. Students must be familiar with the basics of qualitative and quantitative research before joining the course.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

Autumn 2024 (week 46), 50%
Distance, Flexible (Falun), in English
Semester:
Autumn 2024
Start week:
Start: week beginning 11 Nov 2024
Study Rate:
50%
Location:
Flexible (Falun)
Time of Day:
Day
Teaching form:
Distance
Language:
English
Application Code:
HTVV3D5Z
Entry Qualifications:
  • Eligible students are those who fulfil the general requirements for PhD studies. Students must be familiar with the basics of qualitative and quantitative research before joining the course.
Online Education
Computer Skills:

Surf on the Internet, read and send emails, make use of a word-processing programme (e.g. Word).

Computer Capacity:

Access to a computer (Not a mini pc, tablet or similar) with broadband connection, at least 0.5 Mbit/s both directions.

Means of Education:

Various communication, e.g. e-mail, and use of basic functions in our learning platform (Learn), such as finding information and being able to submit files.

 

A doctoral degree comprises a course component of 45 credits, of which the following 30 credits are for compulsory courses:

  • General Principles of Scientific Work: Introductory Course, 7.5 Credits
  • Scientific Methods, 7.5 Credits
  • Systematic Review, Meta-Synthesis and Meta-Analysis, 7.5 Credits
  • Implementation Research in Health and Welfare Practice, 7.5 Credits

The licentiate degree comprises a course component of 30 credits, of which the following 20 credits are for compulsory courses:

  • General Principles of Scientific Work: Introductory Course, 7.5 Credits
  • Scientific Methods, 7.5 Credits
  • Systematic Review, Meta-Synthesis and Meta-Analysis, 5.0 Credits

All Doctoral Courses at Dalarna University

Last reviewed:
Contacts
Renée Flacking
Professor Paediatric Nursing
Doctoral Programmes Coordinator
Fatumo Osman
Associate Professor
Programme Room in Learn

In Learn, you can access the information you need to proceed with your doctoral studies. Here you can also access The PhD-courses syllabi.

Visit the Learn Room

Last reviewed: