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Scoping Reviews for Health Sciences and Medicine

An introduction to Scoping Reviews, with examples from Health Sciences and Medicine

Data Extraction

Data extraction and analysis

Data extraction or ‘charting the data’ is the process of extracting the relevant data from the included studies in a standardised manner. The ultimate purpose of charting the data is to identify, characterize, and summarize research evidence on a topic, including identification of research gaps (Aromataris, et al 2020).
 

Colquhoun and Levac update 2014 make the following recommendations for charting the data 

  • The research team should collectively determine which variables to extract in order to answer the research question. 
  • Charting should be considered an iterative process in which reviewers continually extract data and update the data charting form. 
  • Reviewers should pilot the charting form on five to ten studies to determine whether their approach to data extraction is consistent with the research question and purpose. 
  • Contextual or process-oriented data may require a qualitative content analysis approach.

 

A  comprehensive data charting form or table should be used to extract relevant information and JBI Reviewer’s Manual suggests this should be piloted at the protocol stage to record the key information such as the examples below.

  • Author(s) 
  • Year of publication 
  • Origin/country of origin (where the source was published or conducted) 
  • Aims/purpose 
  • Population and sample size within the source of evidence (if applicable) 
  • Methodology / methods 
  • Intervention type, comparator and details of these (e.g. duration of the intervention) (if applicable). Duration of the intervention (if applicable) 
  • Outcomes and details of these (e.g. how measured) (if applicable) 
  • Key findings that relate to the scoping review question/s. 
 

Resources and further reading

JBI template source of evidence details, characteristics and results extraction instrument Full Text

Pollock, D., Peters, M. D., Khalil, H., McInerney, P., Alexander, L., Tricco, A. C., ... & Munn, Z. (2023). Recommendations for the extraction, analysis, and presentation of results in scoping reviews. JBI evidence synthesis, 21(3), 520-532. Full Text

PRISMA ScR - Data Charting Process - Tip Sheet PDF

Aromataris E, Munn Z (Editors). JBI Manual for Evidence Synthesis. JBI, 2020. Full Text 

Colquhoun, H. L., Levac, D., O’Brien, K. K., Straus, S., Tricco, A. C., Perrier, L., … & Moher, D. (2014). Scoping reviews: time for clarity in definition, methods, and reporting. Journal of clinical epidemiology, 67(12), 1291-1294. Full Text

Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., ... & Straus, S. E. (2018). PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Annals of internal medicine, 169(7), 467-473. Full Text

Peters, M. D. (2017). Managing and coding references for systematic reviews and scoping reviews in EndNote. Medical Reference Services Quarterly, 36(1), 19-31. Full Text PDF

RevMan

RevMan facilitates preparation of protocols and full reviews, including text, characteristics of studies, comparison tables, and study data. It can perform meta-analysis of the data entered, and present results graphically.

 

Covidence

Covidence includes customisable data extraction forms and automatically populates the Risk of Bias tables and Prisma Flow Chart.

Other tools for data extraction

Word Processors

Microsoft Word

Google Docs

Spreadsheets

Microsoft Excel

Google Sheets

Apple Numbers

Survey forms

Qualtrics (UniMelb staff only)

Google Forms

Other tools

Systematic Review Data Repository (SRDR+)

Presentation of results

Results may be presented in your final scoping review paper in a variety of ways including diagrammatic or tabular form or in a descriptive format that aligns with the objective of the review. The JBI Manual for Evidence Synthesis (11.2.9) recommends that authors plan carefully how they intend to present the extracted data and ensure the method aligns with the scoping review's objective and question/s.

 

Data visualisation tools

VOSViewer is a tool for constructing and visualising bibliometric networks based on journals, researchers or individual publications

The Data Viz Project and The Data Visualization Catalogue are websites that present a wide range of data visualization, chart or diagram options and explain their functions. These sites allow you to browse or sort examples to match your data set.

RAW Graphs Insert your data into RAWgraphs and choose from the wide range of visual models

Icon Array Online Icon Array Generator. Preview, save, download or embed your icon array

Chart Chooser is another resource to choose the type of chart you need for your visualisation and then download Excel or PowerPoint templates
 

Further reading

South, E., & Rodgers, M. (2023). Data visualisation in scoping reviews and evidence maps on health topics: a cross-sectional analysis. Systematic Reviews, 12(1), 1-11. Full Text