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Dissertation Subject Guide

including systematic reviews, literature reviews and scoping reviews

What is data synthesis?

Synthesis is a stage in the systematic review process where extracted data (findings of individual studies) are combined and evaluated. The synthesis part of a systematic review will determine the outcomes of the review. Data synthesis summarises and/or present the charting results (from data extraction) as they relate to the review questions and objectives

There are two commonly accepted methods of synthesis in systematic reviews:

  • Quantitative data synthesis
  • Qualitative data synthesis

The way the data is extracted from your studies and synthesised and presented depends on the type of data being handled.

If you have quantitative information, some of the more common tools used to summarise data include:

  • grouping of similar data, i.e. presenting the results in tables
  • charts, e.g. pie-charts
  • graphical displays such as forest plots

If you have qualitative information, some of the more common tools used to summarise data include:

  • textual descriptions, i.e. written words
  • thematic or content analysis

Whatever tool/s you use, the general purpose of extracting and synthesising data is to show the outcomes and effects of various studies and identify issues with methodology and quality. This means that your synthesis might reveal a number of elements, including:

  • overall level of evidence
  • the degree of consistency in the findings
  • what the positive effects of a drug or treatment are, and what these effects are based on
  • how many studies found a relationship or association between two things

Quantitative Synthesis

In a quantitative systematic review, data is presented statistically. Typically, this is referred to as a meta-analysis

The usual method is to combine and evaluate data from multiple studies. This is normally done in order to draw conclusions about outcomes, effects, shortcomings of studies and/or applicability of findings.

Remember, the data you synthesise should relate to your research question and protocol (plan). In the case of quantitative analysis, the data extracted and synthesised will relate to whatever method was used to generate the research question (e.g. PICO method), and whatever quality appraisals were undertaken in the analysis stage.

One way of accurately representing all of your data is in the form of a forest plot. A forest plot is a way of combining results of multiple clinical trials in order to show point estimates arising from different studies of the same condition or treatment. 

It is comprised of a graphical representation and often also a table. The graphical display shows the mean value for each trial and often with a confidence interval (the horizontal bars). Each mean is plotted relative to the vertical line of no difference.

Qualitative Synthesis

In a qualitative systematic review, data can be presented in a number of different ways. A typical procedure in the health sciences is thematic analysis.

Thematic synthesis has three stages:

  1. the coding of text 'line-by-line'
  2. the development of 'descriptive themes'
  3. and the generation of 'analytical themes'