Back
| Semester | fall semester 2019 |
| Course frequency | Annual course |
| Lecturers |
Sabina M. De Geest (sabina.degeest@unibas.ch, Assessor)
Olivia Yip (olivia.yip@unibas.ch) |
| Content | Autumn semester -Introduction to Implementation Science -Implementation Research Designs and Implementation Outcomes -Contextual Analysis -Implementation Strategies Spring semester -Evaluation of High Quality Evidence / Meta-analysis -Intervention Development -Methods for Patient and Public Involvement -Reporting of Implementation Science Studies and implementation science research infrastructure |
| Learning objectives | Learning Objectives: 1. Position implementation science in the research pipeline and identify different terminology used to describe implementation science internationally. 2. Recognize and critically evaluate common implementation science study designs and methods for addressing implementation research aims. 3. Distinguish implementation outcomes from efficacy, service, and summative outcomes. 4. Apply key implementation science constructs and theories in developing an implementation science project. 5. Argue the need for contextual analysis in implementation science and describe how to perform a contextual analysis methodologically. 6. Understand the evidence base of implementation strategies and discuss their difference with evidence-based interventions. 7. Participate in discussion on ongoing implementation science projects and apply learned theoretical knowledge in the discussions. Learning Objectives FS 2020: 8. Understand the role of meta-analysis in evaluating the strength of evidence of interventions and assessing the quality of evidence. 9. Argue the need for a multi-phase approach in intervention development and provide an example of intervention development in implementation science. 10. Discuss patient and public involvement (PPI) in the whole research cycle and argue the role of PPI in implementation science. 12. Apply the reporting guidelines for implementation science research studies in reviewing an implementation science paper. 13. Provide examples of elements that need to be put into place to develop an implementation science research infrastructure. |
| Bibliography | Required and optional readings on implementation science research papers are assigned in preparation for each lecture. |
| Weblink | ADAM |
| Admission requirements | Studierende im Studiengang Pflegewissenschaft Vertiefung Research; PhD students involved in Implementation Science projects |
| Course application | Belegen |
| Language of instruction | English |
| Use of digital media | Online, optional |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul Vertiefung Research (Master's Studies: Nursing) |
| Assessment format | continuous assessment |
| Assessment details | Written exam 60% The content of the course will be tested in two written exams (at the end of both semesters) where students have to apply the learned content. This will be primarily using examples from the implementation science literature. Active participation and presence in course 40% Students need to be present in at least 80% of the lectures – participation in whole day session is optional for Master’s students and obliged for PhD students. |
| Assessment registration/deregistration | Registration: course registration: deregistration: institute |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | one repetition |
| Responsible faculty | Faculty of Medicine |
| Offered by | Institut für Pflegewissenschaft |