---
title: "10.2.9 Extracting the evidence"
canonical: "https://jbi-global-wiki.refined.site/space/MANUAL/355862811/10.2.9%20Extracting%20the%20evidence"
format: markdown
---
Principles of data extraction The question framework, objectives and eligibility criteria will guide what data should be extracted. There are broad principles of data extraction that should be followed within a scoping review to ensure its conduct is transparent and rigorous (Pollock et al. 2023). These principles are as follows: Create a standardised data extraction form and guidance for the form, which describes each point that will be extracted. The development of the initial data extraction form is guided by the review question and usually includes the population, concept and context. It is recommended that extraction guidance be developed and accompany the extraction form, detailing each item to be extracted and shared with each scoping reviewer Describe the planned data extraction approach in an  a priori  protocol and include a draft data extraction form. This draft extraction form is usually formatted as a table and should be developed specifically for the review topic at hand, be detailed and include more than a basic plan (i.e. more than just the population, concept and context) for the items that will be extracted. If equity-related issues are being extracted, clarify what framework will be used (e.g. PROGRESS-PLUS, where PROGRESS stands for Place of residence, Religion, Occupation, Gender, Race, Education, Socioeconomic status and Social capital, and PLUS refers to  personal characteristics  associated with discrimination (e.g. age, disability);  features of relationships  (e.g. smoking parents, excluded from school); and  time-dependent relationships  (e.g. leaving the hospital, respite care, other instances where a person may be temporarily at a disadvantage; Hollands et al. 2024) Pilot the data extraction form with all individuals who will be extracting. If you are including multiple types of evidence sources, pilot each type in the data extraction form Best practice is to have at least two scoping review authors extracting data independently from each evidence source. However, if this is not possible, one scoping reviewer should be extracting data per evidence source, with another person reviewing either all or a proportion of the extraction to ensure it is accurate and complete Plan for and ensure regular team meetings and/or communication are upheld during the extraction process, to discuss progress and assess if the data extraction form is capturing the necessary information to answer the review questions.