What do we already know? Harnessing existing research
Systematic Review for Policy Evaluation
'Systematic reviews contribute to evidence-based policy and practice
by identifying the accumulated research evidence on a topic or question'.
Davies, P T (2003)
'Systematic reviews attempt to discover the consistencies and account
for the variability in similar-appearing studies' Cooper and Hedges
(1994)
Systematic Review provides a tool to help access, harness and use the best
available research evidence for effective policy making. This chapter describes
and explains the main principles.
More detailed guidance is contained in the Background
Document (pdf - 231kb)
What are Systematic Reviews?
Systematic reviews
- are overviews of the existing research literature
on a topic based upon comprehensive searching of print, electronic, and
unpublished sources.
- Distinguish between high and low
quality research studies.
- Have explicit inclusion and exclusion
criteria for deciding which primary studies to review.
- Critically appraise studies for their validity, reliability
and relevance.
Meta-analysis is one type of systematic review that aggregates
the samples of different primary studies and provides a cumulative estimate
of the likely effect size of a policy intervention. Meta-analysis can only
be undertaken on primary studies that are genuinely comparable (see sections
4.0-5.6 of The Magenta Book background paper 'What
Do We Already Know?')
Why do we Need Systematic Reviews?
Systematic reviews are necessary because:-
- Single studies can misrepresent the balance of available research evidence
on a topic or question.
- Single studies are often also of variable quality in terms of their
design, execution, analysis and reporting.
- Single studies can be biased.
- The sheer volume of new studies presents a major knowledge management
problem for analysts and policy makers.
Common Principles of Systematic Reviews
There are some basic principles of systematic reviewing.
These are presented in Figure 2.1 below.
Figure 2.1
Common Principles of Systematic Review
- Defining an Answerable Question
- Systematic Searching for Studies
- Obtaining and Reading Studies
- Organising/Mapping Studies by Methodology
- Critical Appraisal and Sifting of Studies
- Data Extraction and Organisation
- Analysis of Data from Sifted Studies
- Summary Answer(s) to the Question(s) Asked
- Implications for Policy and/or Practice
- Implication for Further Research
- Conclusions
- Date of Review/Latest Update
|
Defining an Answerable Question
A systematic review should address a question that has the following
four components:
- A clear specification of the interventions, factors
or processes in question
- A clear specification of the population and/or sub-groups
in question
- A clear specification of the outcomes that are of
interest to the user of the review
- A clear specification of the contexts in which the
question is set.
An example of an answerable question about a policy intervention
might be:
| What is the effect of a personal
adviser service (intervention) in terms of retaining (outcome 1) and
advancing (outcome 2) lone parents (population) in the UK workforce
(context)? |
An example of an answerable question about the implementation
of a policy might be:-
| What are the barriers (factor/process
1) and facilitating factors (factor/process 2) to getting lone parents
(population) to participate (outcome 1) and advance (outcome 2) in the
UK workforce (context)? |
- Questions such as these are preferable to general questions such as
'does a personal advisor service work?'. Such questions beg the further
questions: for whom? (population), in what ways
(outcomes), and under what circumstances? (context)
- The framing of a question in these ways also helps identify studies
that have used the most appropriate methodology.
- Intervention questions are usually best answered using experimental
or quasi-experimental designs. Implementation questions
are usually best answered using social surveys, qualitative
methods and consultative techniques
- All identified studies must be subjected to critical
appraisal
Systematic Searching for Studies
- One of the ways in which systematic reviews are different from traditional
reviews is the comprehensiveness of searching for all
of the available research evidence
- Systematic searching helps avoid problems of selection bias
that come from only identifying studies that are readily accessible, or
that are already published and indexed in major databases
- Systematic searching also helps to deal with publication bias,
which comes from the tendency of some journals to overly publish findings
from studies that report positive (or in some cases negative) results
- Systematic searching involves electronic sources,
print sources, and the 'grey' literature.
Figure 2.2. presents what is involved
in systematic searching
- Systematic searching of the existing literature is a highly skilled
task for which qualified librarians and information
specialists should always be consulted.

Electronic Searching
- Includes a wide range of databases, electronic libraries, and high quality
internet sources, see
Annex A
- A selective (i.e not comprehensive) list of electronic libraries that
are relevant for policy evaluation purposes is listed at Annex
B
- Searching internet sites requires a greater degree of caution and critical
appraisal because of the lack of quality control mechanisms.
Print Sources
- Includes journals, textbooks, and published research reports (preferably
peer reviewed)
- Handsearching of print sources can be useful for identifying relevant
studies that are not indexed in electronic sources
- Guidance on handsearching can be found in the Cochrane
Collaboration Reviewer's Handbook
Grey Literature
- Is work in progress or not yet published
- Can be identified by:
- searching databases of unpublished research such as SIGLE and DISSABS
(dissertation abstracts);
- searching conference proceedings, abstracts and papers;
- searching the registers of research funders and institutions that
undertake research in the policy area in question.
Methods of Systematic Searching
- There are at least two methods of systematically searching for potential
studies for a review:
- by all types of methodology and research design;
- by specific methodologies and research designs
- Searching by all types of methodology yields studies that are more sensitive
to the overall literature on the topic in question. However, this method
of searching may identify studies that have less relevance (i.e. low specificity).
- Searching by specific methodologies yields fewer studies
but these may be more relevant. (i.e. less sensitivity).
- The danger of deciding a priori to search by specific
methodologies only is that this introduces the chance of selection
bias into the review.
Obtaining and Reading Primary Studies
- Obtaining and reading identified studies is essential. Relying on abstracts
alone is unsatisfactory. The advice and assistance of a qualified information
specialist is invaluable for obtaining primary studies.
Organising/Mapping Studies by Methodology
The literature on a topic needs to be mapped. Studies
should be organised and critically appraised according to the criteria that
are relevant to the methodology or research design that has been used.
Critical Appraisal
- is an essential part of a systematic review.
- uses explicit and transparent criteria to determine the quality and
strength of the studies that have been identified.
- separates studies that are of sufficiently high quality from those
that are not.
- An example of a set of criteria that are used to appraise studies using
experimental designs is given in Figure 2.3
- Criteria for appraising studies that use other methodologies are currently
being developed (See References).
Figure 2.3
Typical Criteria Used to Critically Appraise Experimental
Studies
Question Focus
- Was a clear and answerable question asked?
Population/Groups Studied
- Were the populations and subgroups studied clearly reported?
Sample Size
- Was the sample size adequate?
Quality of Randomisation
- Was the randomisation undertaken properly?
Selection Bias
- Was there any selection bias in the achieved sample?
Performance Bias
- Were the trial and control groups treated similarly other than
the intervention?
Attrition Bias
- Was the sample lost-to-follow-up in the trial groups and control
groups significant?
Publication Bias
- Does the journal in which this study was published have any
known publication bias?
Statistics Used
- Were the statistical tests used appropriate to the questions
beings asked?
Statistical Reporting
- Were the statistics that were used adequately reported?
Other Criteria?
- Are there other relevant criteria for assessing the quality
of the primary studies?
|
Data Extraction and Organisation
- A data collection form should be developed recording how, and why, data
are to be extracted from included studies. Figure
2.4 presents an example of what to record.
- The list in Figure 2.4 is neither prescriptive nor exhaustive. Anyone
undertaking a systematic review must determine what data are relevant
to the policy question being asked, and develop a data extraction and
organisation form to capture this.
Figure 2.4
Details to be recorded on a Data Collection Form
- the studies' characteristics
- the methods used
- the participants (populations and sub-groups) included and
excluded
- the nature of the interventions or processes studied
- the outcomes or processes measured/observed
- the main and subsidiary findings of the different studies
|
Analysis of Data from Sifted Studies
- The analysis of data from sifted studies will depend on the policy question(s)
being asked, the type of methodology used in the primary studies, and
the likely use to which the findings are to be put.
- Some issues to be considered in the analysis of included studies are
presented in Figure 2.5
Figure 2.5
Issues to be Considered in the Analysis of Included Studies
- the appropriate comparisons (if any) to be
made by the analysis
- the study results that are needed for each
comparison
- the assessments of validity to be used in
the analysis
- any other data or information
needed from authors of studies included
- the transformation or manipulation
of data for analysis
- the heterogeneity/homogeneity of included
studies
- the possibility of meta-analysis (see sections
4.0-5.6 of The Magenta Book background paper 'What
Do We Already Know?')
- the likely effect sizes of the proposed policy intervention
- the main findings of the review
- the main caveats associated with the findings
|
Summary Answers to the Question(s) Asked
- A systematic review should provide summary answers, as well as detailed
analysis and conclusions, to the policy question(s) being addressed.
The review should be as clear as possible as to what it is saying about
the policy issue in question.
Implications for Policy and/or Practice
- A systematic review may offer suggestions about the implications of
the review for policy and/or practice, with the proviso that this
is the opinion of the authors of the review and is not self-evident
from the evidence itself.
Implications for Further Research
- A systematic review should identify any weaknesses or limitations in
the existing evidence on the topic in question, and suggest how future
research might be focussed to improve the evidence base in this area.
Conclusions
- A systematic review should end with as clear a message as is possible
as to what the review has and has not concluded.
Date of the Review
- A systematic review is only as good as its most recent update of the
available evidence. Hence, any review should be dated and its most recent
update noted.
Analysts' Checklist for Undertaking a Systematic Review
- The Government Social Research Unit has compiled a checklist
for analysts to use to ensure that the key methodological issues and questions
governing systematic reviews have been addressed.
Policy Makers' Checklist for Undertaking a Systematic Review
- The Government Social Research Unit has compiled a checklist
for policy makers which addresses some of the questions they should ask
when reading a systematic review.
References
- GCSRO, Cabinet Office Strategy Unit, 2003. Quality in Qualitative Evaluation:
A Framework for Assessing Research Evidence.
- Nutley, S., Davies, H.T., and Walter, I, 2002. What is a Conceptual
Synthesis? ESRC Research Unit on Research Utilisation, (www.evidencenetwork.org).
- Oakley, A., Gough, D., Harden, A., 2002. Quality Standards for Systematic
Synthesis of Qualitative Research', Research project, EPPI-Centre, Institute
of Education, University of London.
- Pawson, R. 2002. Evidence-based policy: the promise of 'realist synthesis',
ESRC Evidence Network, Queen Mary College, London
- Popay, J (Ed), 2006. Moving beyond effectiveness: Methodological issues
in the synthesis of diverse sources of evidence. National Institute for Health and Clinical Excellence, London.
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