2021/22 Taught Postgraduate Module Catalogue

PSYC5902M Systematic Review

25 creditsClass Size: 80

Module manager: Dr Ian Kellar
Email: i.kellar@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2021/22

Pre-requisite qualifications

At least an upper second class honours degree in Psychology or a discipline containing a substantial amount of psychology and research

Module replaces

PSYC5320M Systematic Research Review (15 credits)

This module is not approved as an Elective

Module summary

This course is designed to ensure that MSc graduates are able to undertake narrative systematic reviews that meet the standard laid out in the PRISMA statement (http://www.prisma-statement.org/)

Objectives

Students should be confident in managing the systematic review process, extracting data, and narratively synthesising evidence from academic journals.

Learning outcomes
On completion of this module, students should be able to:

- Formulate a question and develop search terms based on the PICOS framework
- Retrieve, manage and screen references and full-texts in a database
- Undertake data-extraction and make risk-of-bias judgements reliably
- Follow PRISMA guidelines and narratively synthesise evidence.

Skills outcomes
Ability to undertake narrative systematic reviews that meet the standard laid out in the PRISMA statement (http://www.prisma-statement.org/)

Syllabus

Week 1
Introduction to systematic reviewing
Formulating a question
PICOS
Developing a rationale
Searching for systematic reviews
Intro to The Cochrane Library

Week 2
Developing search terms
Building a modular strategy
Utilising established terms
Adding methodological filters
Intro to Ovid SP / Medline
Intro to Endnote

Week 3
Multiple data sources
Portals versus databases
OvidSP
Exporting from Medline
Intro to PsychInfo
Intro to Embase
Intro to CINAHL
Web of Science / Knowledge

Week 4
Intro to PRISMA
Abstract screening
Exclusion criteria
Database for results
Intro to full text screening
Exclusion criteria
Database for results
Managing research libraries (Endnote)
Merging libraries / removing duplicates
Develop a screening workflow (use of output styles)

Week 5
Screening workshop
Troubleshooting full-text screening process
Need to revisit PICOS or criteria
Managing additional sources (PRISMA flow chart)

Week 6
Data extraction & risk of bias
Intro to risk of bias
Creating a data extraction tool
Data items
PICOS
Risk of Bias
Results

Week 7
Data extraction & risk of bias workshop
Troubleshoot data extraction
Troubleshoot risk of bias

Week 8
PRISMA checklist
Examples of good practice
Data synthesis
Using PICOS as framework for tabulating results and narrative synthesis

Week 9
PRISMA checklist & write-up workshop
Troubleshooting reporting of methods
Troubleshooting synthesis (inc risk of bias)
Troubleshooting conclusions

Supervisors will be informed of the formal SRR process to ensure parity of student experience independent of supervisor. Supervisors will normally take between 2 and 4 students. Supervisors may attend sessions or meet with their supervisees in weeks 1, 2, 4, 6 & 8.
The module leader will be assisted by two PhD students with experience of conducting systematic reviews that meet the standards of the
PRISMA statement.
The module leader will be assisted by an additional lecturer experienced in systematic review methods during workshops in weeks 5, 7 & 9.
Supervision will include consideration of:
Context appropriate formulation of the research question based on the PICOS framework, drawing on the supervisors' knowledge.
Development of a modular search strategy utilising existing terms that fits the supervisor's expectations regarding retrieval sensitivity /specificity from their knowledge of the literature.
Development of screening criteria that affords sufficient sensitivity / specificity to complete the review in the allotted time.
Development of a data extraction tool that enables the student to answer questions that are relevant to the context of the research area.
Monitoring of the students’ progress towards making recommendations about future research.
Monitoring of report writing.

Teaching methods

Delivery type	Number	Length hours	Student hours
Practical	3	2.00	6.00
Seminar	6	2.00	12.00
Private study hours			232.00
Total Contact hours			18.00
Total hours (100hr per 10 credits)			250.00

Private study

Students will develop tasks that they begin during seminars, and receive support on this during later seminars and workshops. These
tasks will include:
- Formulating a PICOS question (20hrs)
- Developing search terms using a modular approach based on PICOS (14hrs)
- Running searches, exporting references and managing databases 30hrs)
- Develop screening criteria (8hrs)
- Undertake screening (55hrs)
- Develop a data extraction tool (8hrs)
- Undertake data extraction (35hrs)
- Write up the systematic review report (62hrs)

Opportunities for Formative Feedback

Students will develop tasks that they begin during seminars, and receive support on this during later seminars and workshops. These tasks will include:
- Formulating a PICOS question (20hrs)
- Developing search terms using a modular approach based on PICOS (14hrs)
- Running searches, exporting references and managing databases 30hrs)
- Develop screening criteria (8hrs)
- Undertake screening (55hrs)
- Develop a data extraction tool (8hrs)
- Undertake data extraction (35hrs)
- Write up the systematic review report (62hrs)
Private Study :
Students will have access to the module leader, assisted by two PhD students experienced in systematic review methods, on a weekly basis from weeks 1-9. Students will have access to an additional lecturer experienced in systematic review methods during workshop weeks 5, 7 & 9. Students will meet regularly with their supervisors to ensure that progress is satisfactory.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Literature Review	5000 words + table(s)	100.00
Total percentage (Assessment Coursework)		100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

There is no reading list for this module

Last updated: 27/09/2021 12:22:06

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