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Integrative Review Capstone Toolkit

This guide is designed for nursing students who are completing an integrative review as their capstone assignment.

Data Extraction / Abstraction

Data extraction or abstraction refers to the process of reading each paper that is included in the review and identifying ("extracting") the study characteristics and findings that are important for addressing the overall review question.

Data is typically collected from each paper in a systematic way, using a data collection form and/or organizing the extracted data into an evidence matrix.  

What information gets extracted from each study depends largely on the question(s) that the review is attempting to address - you should plan to extract the data that is relevant for answer the question(s) posed by your review.

Commonly extracted information may include:

  • Information about the article
    • author(s), year of publication, title, DOI
  • Information about the study
    • study type, participant recruitment / selection / allocation, level of evidence, study quality
  • Participant demographics
    • age, sex, ethnicity, diseases / conditions, other characteristics related to the intervention / outcome / phenomenon of interest
  • Intervention/Phenomenon of Interest
    • for review of interventions: quantity, dosage, route of administration, format, duration, time frame, setting
  • Outcomes
    • quantitative and or qualitative
  • Any key findings or results, relative to the review question

For additional information about data extraction for qualitative studies, see:

For a template for a data collection / extraction form to be used in reviews of interventions, see:

Example Review Matrices & Templates

Below you'll see examples of what data was extracted from studies in a few different examples of integrative reviews.  Beyond the bibliographic information (e.g., author and year) notice how the extracted information relates to the review question.

For a summary of the common matrix formats found in recently published integrative reviews, see:

Younas, A., Shahzad, S., & Inayat, S. (2021). Data analysis and presentation in integrative reviews: A narrative review. Western Journal of Nursing Research, 01939459211030344. https://doi.org/10.1177/01939459211030344

Examples from Integrative Reviews

Example 1

Summers, J. A. (2017). Developing competencies in the novice nurse educator: An integrative review. Teaching and Learning in Nursing, 12(4), 263-276.

Review Question/Objective

"The purpose of this integrative review is to report on research that addresses the development of teaching competencies in novice nurse educators." (p. 264)

Evidence Matrix
Format of evidence matrix from Summers (2017) - see appendices F & G
Study Context Aim of study Mechanism to improve quality How was success measured? Detail on change process Main findings

Example 2 

Brown Tyo, M., & McCurry, M. K. (2019). An integrative review of clinical reasoning teaching strategies and outcome evaluation in nursing education. Nursing Education Perspectives, 40(1), 11–17. https://doi.org/10.1097/01.NEP.0000000000000375
 

Review Question/Objective

"to explore the teaching strategies commonly used to promote clinical reasoning in nursing students and identify the outcomes or methods used to evaluate their effectiveness." (p. 12)

Evidence Matrix

Format of evidence matrix from Brown & McCurry (2019) - see Supplemental Digital Content 2, Table A

Study and Country Population and Setting Educational Strategy Methodology Instruments and Outcome Measures Results Quality Score

Data/Evidence Matrix Template

This template for an evidence matrix spreadsheet can be copied and modified to suit your specific review aims.

Data Collection Tools

When reading studies that are included in your review, it may be helpful to extract the data from each paper using a form or a tool, and then compiling the results into a table, rather than writing information directly into a spreadsheet.  

Tools for Creating Electronic Forms