Course catalogue doctoral education - VT24
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Title | Developing and Evaluating Complex Interventions: Effective implementation |
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Course number | 3232 |
Programme | Vårdvetenskap (PUF-V) |
Language | English |
Credits | 3.0 |
Date | 2022-05-23 -- 2022-06-10 | Responsible KI department | Institutionen för neurobiologi, vårdvetenskap och samhälle |
Specific entry requirements | No specific entry requirements. |
Purpose of the course | The aim of this course is to introduce the theory and practice of developing and evaluating complex interventions, or interventions in complex systems to facilitate effective implementation. This will include different implementation research methods used for developing new interventions, how to develop an intervention ‘logic model’, and examples how to work with policy-makers, health professionals and the public to co-produce interventions. It will also provide a working knowledge of the key implementation frameworks and methodologies currently used to evaluate complex interventions, including feasibility studies, process evaluations and a range of outcome evaluation designs. |
Intended learning outcomes | After the course, the participants should be able to:
• Critically compare the strengths and limitations of different methodologies for intervention development and implementation • Identify appropriate methods for co-producing interventions involving policy makers, practitioners and the public • Understand the value of feasibility studies prior to effectiveness evaluation and considerations for using these to decide if and how to proceed to full evaluation • Understand a range of different approaches for effective implementation that is evaluating complex interventions, in terms of process and outcomes, and the types of interventions they are suited to |
Contents of the course | The course will address the central aspects of complex intervention development and evaluation, including:
• The intervention development process, including frameworks for intervention development and the role of existing evidence in intervention development • Issues to think about when planning a feasibility study and consideration of progression from feasibility testing to effectiveness testing • An introduction to Randomised Controlled Trials (RCT), challenges and limitations of large-scale RCTs and how they can sometimes be addressed • Evaluation options when randomisation isn’t possible, including examples of natural experimental methods for evaluating policy interventions • Understanding intervention process, including key issues to think about when planning a process evaluation |
Teaching and learning activities | The course will include a mix of web-based and in-person taught sessions, and group work activities in which knowledge from the taught sessions can be applied to real-life examples of the participants’ work. Taught sessions include various examples of studies that have been carried out from a public health perspective, while group work activities will support students in applying their methodological principles to other health research contexts. |
Compulsory elements | The participants are expected to participate in all course sessions. Absence will be compensated in agreement with the course director. |
Examination | Examination will involve an oral presentation and a written assignment. The oral presentation will focus on the development of an intervention logic model and its rationale. The written assignment will then focus on developing a plan for evaluating this hypothetical intervention, including assessment of effectiveness and process. |
Literature and other teaching material | Recommended literature:
Craig, P. et al. (2008) Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ 337: a1655. McLeroy, K.R., et al. (1988) An ecological perspective on health promotion programs. Health Behaviour and Education, 15: 351. Moore, G. F., Evans, R. E., Hawkins, J., Littlecott, H., Melendez-Torres, G. J., Bonell, C., & Murphy, S. (2019). From complex social interventions to interventions in complex social systems: Future directions and unresolved questions for intervention development and evaluation. Evaluation, 25(1), 23-45. Mills, T., Lawton, R., & Sheard, L. (2019). Advancing complexity science in healthcare research: the logic of logic models. BMC medical research methodology, 19(1), 55. Hawkins, J., Madden, K., Fletcher, A., Midgley, L., Grant, A., Cox, G., ... & White, J. (2017). Development of a framework for the co-production and prototyping of public health interventions. BMC Public Health, 17(1), 689. Moore G.F. et al. (2015) Process evaluation of complex interventions: Medical Research Council guidance. BMJ 350:h1258. Hallingberg, B., Turley, R., Segrott, J. et al. (2018). Exploratory studies to decide whether and how to proceed with full-scale evaluations of public health interventions: a systematic review of guidance. Pilot and Feasibility Studies, 4(1), 104. Bonell, C.P., et al. (2011). Alternatives to randomisation in the evaluation of public health interventions: design challenges and solutions. Journal of Epidemiology & Community Health, 65(7), pp.582-587. Bonell, C., Moore, G., Warren, E. and Moore, L., (2018). Are randomised controlled trials positivist? Reviewing the social science and philosophy literature to assess positivist tendencies of trials of social interventions in public health and health services. Trials, 19(1), p.238. Moore, L., & Moore, G. F. (2011). Public health evaluation: which designs work, for whom and under what circumstances?. Journal of Epidemiology & Community Health, 65(7), 596-597. |
Number of students | 8 - 20 |
Selection of students | Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date) |
More information | |
Additional course leader | Jemma Hawkins, Graham Moore |
Latest course evaluation | Course evaluation report |
Course responsible |
Ann Rudman Institutionen för klinisk neurovetenskap 073-9343478 Ann.Rudman@ki.se |
Contact person |
Susanne Guidetti Institutionen för neurobiologi, vårdvetenskap och samhälle Susanne.Guidetti@ki.se |
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