Accessibility statement

Advancing Evidence-Based Practice: Implementing Research into Practice - HEA00115M

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  • Department: Health Sciences
  • Module co-ordinator: Prof. Paul Galdas
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2022-23

Module will run

Occurrence Teaching period
C Summer Term 2022-23

Module aims

Enable students to appraise and evaluate a range of factors which influence the way research and research findings can be implemented in practice and policy, in order to develop graduate-level skills of dissemination and implementation and thereby enhancing the development of nursing knowledge.

Module learning outcomes

By the end of the module, students will be able to:

  1. Evaluate a range of approaches to support the implementation of research and research findings.
  2. Analyse the range of factors that require consideration when implementing research findings.
  3. Formulate a plan for implementation of research findings.
  4. Justify the implementation approach recommended.

Indicative assessment

Task Length % of module mark
Essay/coursework
Essay 3000 words
N/A 100

Special assessment rules

Non-compensatable

Additional assessment information

 

 

Indicative reassessment

Task Length % of module mark
Essay/coursework
Essay 3000 words
N/A 100

Module feedback

Written feedback for the summative assessment is provided on the standard proforma, within the timescale specified in the programme handbook.

Indicative reading

Cargo, M, Harris, J., Pantoja, Tomas et al. (2018) Cochrane Qualitative and Implementation Methods Group Guidance Paper 3: Methods for Assessing Evidence on Intervention Implementation. Journal of Clinical Epidemiology. 97:59-69

Craig J & Dowding D (2019) Evidence based practice in nursing 4th Ed. London, Elsevier

Curtis, K., Fry, M., Shaban, R.Z. and Considine, J., 2017. Translating research findings to clinical nursing practice. Journal of Clinical Nursing, 26(5-6), pp.862-872.

Nilsen, P., 2015. Making sense of implementation theories, models and frameworks. Implementation Science, 10(1), p.53.



The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.