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PU5031: EVIDENCE-BASED HEALTH (2021-2022)

Last modified: 16 Aug 2021 13:44


Course Overview

This course aims to enable the fundamental understanding and application of evidence based health at an individual- and population-level, focusing on the use of systematic reviews to synthesise evidence as well as methods to translate and implement evidence to inform health practice and policy. Students on this course will work through the stages of a systematic review unit by unit, completing interactive and practical exercises to develop the skills required to conduct a review. They will then study how the evidence produced from systematic reviews is used to shape health policy and practice, at the level of organisations and individual clinical encounters.  

 

 

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Mairead Black

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

The course will cover the following broad areas

Principle of systematic reviewing
Searching – sensitivity and precision, working with databases, building and running search strategies, managing search results
Data extraction – types of data to extract, methods and tools for extraction, minimising bias
Quality assessment – determining quality RCTs, case-controls, cohorts, cross-sectional, tools and checklists for quality assessment
Data synthesis and interpretation – meta-analysis, qualitative synthesis
Using evidence through guidelines and policy
Using evidence in clinical practice and shared decision making


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Exam

Assessment Type Summative Weighting 30
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Data extraction, quality assessment

Assessment Type Summative Weighting 40
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Marked Case Study

Assessment Type Summative Weighting 30
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Formative Assessment

Exam - Multiple Choice Questions

Assessment Type Formative Weighting 0
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Immediate on completion of test

Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Class Test

Assessment Type Formative Weighting 0
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandDescribe and differentiate between methods of data synthesis
ConceptualUnderstandIllustrate the barriers and facilitators of different methods for the translation of evidence at an individual and population level
ProceduralEvaluateIdentify and critically appraise different types of evidence
ProceduralEvaluateRecognise the role of critical appraisal tools and their appropriate application
ReflectionCreateIntegrate quality assessment findings into data synthesis

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