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Presented by: Brie McConnell, Research Librarian, Health Sciences
This workshop picks up after your literature search and planning are complete. The focus is on managing and organizing your search results using Covidence and Zotero—two powerful tools for streamlining your structured review process, both available through University of Waterloo’s institutional access.
We’ll work with practice files to walk through key workflows for organizing, screening, and reviewing references within a sample scoping review on “Vision screening programs in Canada for preschool children.” The search strategies we’ve provided are intentionally narrow to keep the practice datasets manageable, but remember that effective searching takes careful planning—always record your methods and allow plenty of time for each stage.
You are invited to explore this LibGuide at your own pace or use your own examples—there is no marking for this session. Our workflow will be demonstrated in seven steps, each using Covidence and/or Zotero:
| Steps | Tools used |
|---|---|
| (Step 1) Creating a new review in covidence, and a new Group Library in Zotero | Covidence, Zotero |
| (Step 2) Review and team settings in Covidence | Covidence |
| (Step 3) Importing your literature search results | Covidence |
| (Step 4) Title/abstract screening in Covidence | Covidence |
| (Step 5) Full-text review in Covidence, and full-text gathering in Zotero | Covidence, Zotero |
| (Step 6) Data extraction | Covidence |
| (Step 7) Exporting and writing about your results | Covidence, Zotero |
Covidence is a web-based platform, and no additional software installation is required.There is no desktop version of Covidence, it is web-based only.Covidence is very specific to the workflow of a review article, and it is currently for screening and reviewing journals articles only. Covidence does not take the place of other important tools that researchers may need during the compilation of a review, such as a reference manager (Zotero or Endnote) or the statistical software necessary for meta-analysis such as RevMan Web (Cochrane).
Zotero is an open-access, easy-to-use reference management tool that helps you collect, organize, cite, and share your research sources.Zotero allows you to save references from library catalogs, research databases, and the Web; upload and organize PDFs, images, audio and video files, snapshots of web pages, and more; write annotations and attach them to citations; and create bibliographies using most major citation styles.
Login to Covidence online; prior registration and sign-in required. Registering with your uWaterloo email will ensure that you will be able to access our institutional license, which allows for unlimited reviews.
Don't stress when selecting any of the above settings - all of these can be easily updated and changed once the review is created. The most important step on this screen is going to be, Which account would you like to use? The default will be your personal registration, however you must select the UWaterloo institutional account in order to access the full license.

Designating a unique group library in Zotero for each review project helps you keep your references organized, share materials efficiently with your team, and maintain clear sets for duplicates and items moved to trash. This approach ensures each review is self-contained, supports collaboration, and makes it easier to track sources and decisions throughout your project
You can now minimize Zotero and return to Covidence for the next steps
Connect your team: send out and manage invitationsYou can return to this screen at any time and issue or cancel invitations. The University of Waterloo Institutional CRKN License allows for unlimited reviewers. With this license you are also able to invite colleagues to your review from outside the University of Waterloo.
Creating a new review and inviting people, video
Learn more about the Institutional CRKN License for the University of Waterloo, article.
Team SettingsOn the Team Settings screen, you can view your team’s progress and set rules for screening and reviewing. Data extraction currently has no team settings.
The default is “Everyone can do everything,” meaning all members can review, screen, extract data, and resolve consensus. For large or multi-site reviews, you can assign different groups to specific tasks, like screening or extraction, which helps manage workflow as data extraction can take a long time.
Click “Manage rules” to decide which team members do each step of the review. The “All studies must be screened by” option lets you specify who screens each study, helpful to ensure experienced reviewers look at every study. The “Conflicts can be resolved by” option controls who can resolve disagreements; assigned members will have this permission, otherwise anyone on the team can do it.
How to oversee a review and setup who does what, video and article.
Covidence reworked this section for a major software update in July 2023. The PICO structure is now explicit and you can use it to organize your inclusion and exclusion criteria. However, if you aren't using a PICO structure or aren't sure where to enter a term, you can always use the Other Inclusion and Exclusion field. To learn more about PICO, visit the page for Asking and Answering Clinical Questions.
For this review, we are going to be using the PCC (Population, Concept, Context) framework as oppose to the PICO (Population, Intervention, Comparison, Outcome) framework, which is traditionally used for systematic reviews. Learn more about PCC from the JBI Manual for Evidence Synthesis.
| PCC Element | Description |
|---|---|
| Population | Preschool children (typically ages 3-5) in Canada |
| Concept | Vision screening programs (including methods, frequency, referral pathways, outcomes, barriers, and facilitators) |
| Context | Canadian public health, educational, or primary care settings delivering preschool vision screening (province-specific programs, community clinics, schools, etc.) |
PCC is designed to structure broader, exploratory questions where explicit interventions and outcomes may not be defined. In contrast, PICO supports focused clinical questions by specifying interventions and outcomes to facilitate targeted evidence synthesis and analysis. PCC is better suited for research questions that seek to map the extent and nature of literature, particularly outside strictly clinical areas, whereas PICO is structured for assessing effectiveness or impacts of specific interventions in clinical context.
Covidence allows you to input certain keywords that might indicate inclusion or exclusion for reviewers. Inclusion key words or phrases will be highlighted in green, and exclusion key words or phrases will be highlighted in red. This section is incredibly useful for larger teams as all of the key words and phrases can be customized for your review.
Let's ADD+ some highlights for our practice review:
|
Inclusion highlights |
Exclusion highlights |
|---|---|
|
|
These exclusion criteria are going to be more specific as they will be used for the full-text review. Covidence pre-populates the list of exclusion reasons with popular options, such as wrong does, paediatric population, wrong setting, wrong study design, wrong intervention etc. If you like, you can add your own exclusion reasons as well as delete those that there by default.
Inclusion reasons are not used in full-text review; you have already indicated in the Title and Abstract screening that you are including the article for further review of the full-text, so the full-text review is just going to be a matter of excluding the article from the final data extraction.
| Exclusion criteria |
|---|
|
ADD +
|
|
REMOVE - Give yourself a tidier list of criteria by removing default fields unnecessary to your review. For example for this Practice Review:
|
Always SAVE before leaving the settings page!
Creating and managing eligibility criteria, article and video
In Covidence, Study Tags are an effective way to identify and organize important studies, such as references that provide excellent background for your introduction or discussion, even if they don’t meet inclusion criteria for your results. Custom tags help you quickly add notes, track the status of articles, or flag items for specific use by the review team.
Some tags, such as “Ongoing Study” and “Awaiting Classification,” are built into Covidence by default—these cannot be deleted, as they are automatically counted in your PRISMA chart for tracking review flow. Custom tags (e.g., “pending review,” “full-text on order,” “Background/context information,” or “Covidence support”) can be added and filtered to manage your references efficiently.
To create or manage tags, go to the ‘Study tags’ page in Covidence settings where you can add new tags or delete custom tags. Tags are visible to all reviewers and are included when exporting lists of references to Excel/CSV, making it easier to collaborate and track study status throughout your project.
| + ADD | |
|---|---|
| pending review | |
| full-text on order | |
| Background/context information |
How to create and manage study tags, article.
The Review Settings screen lets you change your review’s name and type (like scoping, umbrella, or narrative review). You can update details such as your search strategy, which is helpful for team projects.
By default, Covidence requires two reviewers to screen each study to minimize bias. However, with Extraction 2.0, you can change this to just one reviewer, which can be useful for solo projects. Extraction 1.0 (mainly used for classic systematic reviews of interventional studies and Cochrane reviews) requires two reviewers.
It’s best practice to have at least two reviewers for structured reviews, including scoping and literature reviews. This is essential for minimizing bias and you should ideally be working on a review with a team.
For our practice review let's add our search strategy details:
((((vision[Title/Abstract] OR eye[Title/Abstract]) AND (screen*[Title/Abstract] OR exam*[Title/Abstract])) AND (pre?school*[Title/Abstract] OR kindergarten[Title/Abstract] OR toddler*[Title/Abstract] OR p?ediatric[Title/Abstract])) AND (Canada[Title/Abstract] OR Alberta[Title/Abstract] OR Ontario[Title/Abstract] OR Quebec[Title/Abstract])) OR ((("Vision Screening"[Mesh]) AND "Child, Preschool"[Mesh]) AND "Canada"[Mesh])
How to configure settings, article and video
Learn more about using Covidence for a Cochrane Review, article and video
Researchers can import reference files directly into Covidence from databases like PubMed and Web of Science or from reference managers such as Zotero and EndNote. Supported formats include EndNote XML, PubMed, and RIS text.
Search strategy (example):
((((vision[Title/Abstract] OR eye[Title/Abstract]) AND (screen*[Title/Abstract] OR exam*[Title/Abstract])) AND (pre?school*[Title/Abstract] OR kindergarten[Title/Abstract] OR toddler*[Title/Abstract] OR p?ediatric[Title/Abstract])) AND (Canada[Title/Abstract] OR Alberta[Title/Abstract] OR Ontario[Title/Abstract] OR Quebec[Title/Abstract])) OR ((("Vision Screening"[Mesh]) AND "Child, Preschool"[Mesh]) AND "Canada"[Mesh])
This search is as example of balancing indexing lanaguage (MeSH) with natural language. The scope for this term is deliberately narrow and this example is for practice only.
Search strategy (example):
( TITLE-ABS-KEY ( vision OR eye W/2 ( screen* OR exam* OR test* ) ) AND TITLE-ABS-KEY ( pre?school* OR kindergarten OR toddler* OR p?ediatric ) AND TITLE-ABS-KEY ( canada OR ontario OR alberta OR quebec ) )
Peer-reviewed literature from scientific journals, books and conference proceedings, covering the fields of science, technology, medicine, social sciences, and arts and humanities.
Coverage: 1966 - present
The title and abstract screening stage is essential for quickly narrowing down large sets of search results to those studies that are most relevant to your review question. By applying your inclusion and exclusion criteria at this stage, you efficiently filter out the “noise” of irrelevant references, allowing the review team to focus efforts on a manageable number of potentially relevant studies for full-text review. This step saves time and resources by reducing the workload later in the review process and helps maintain focus on high-quality, pertinent evidence. Ideally, this screening is done independently by two reviewers to minimize bias and ensure consistent application of criteria, with disagreements resolved through discussion or by a third reviewer.
Vote NO, Maybe, or Yes on an abstract. At the title and abstract screening stage you have the option to vote either "yes", "no" or "maybe".
A "Maybe" vote is treated the same way as a "Yes" vote, meaning that it will move that citation forward in your review.
If in dual reviewer mode, you can filter those citations that you have cast one "Maybe" vote on by using the filter function at the top of your 'Awaiting other reviewer' list. If in dual reviewer mode and a citation receives two "Yes"/"Maybe"votes it will move forward in your review and you'll be able to see those votes cast by clicking on "History" underneath each citation.
If the second vote is a "No" then that citation will move to your 'Resolve conflicts' list. Here you won't be able to see those "Maybe" votes unless they were cast by you, as seeing your co-reviewer's previous votes can lend itself to biasing the adjudicating vote.
You won't be able to generate your list of citations that received a "Maybe" vote during title and abstract screening. All voting is blinded meaning that if you are in dual reviewer mode, your co-reviewer won't be able to see which citations you voted "maybe" on until they have cast their vote, and if this vote is also a "Yes" or a "Maybe".
You can start Full text review as soon as there are studies available in the Full text review class. Errors or corrections can be moved back to screening for review.
Covidence automatically adds the full text of open access articles when a study moves into Full text review. The rest can be added either individually or in bulk.
Features:
Filter by full-text is a useful feature as the full-text review can proceed while some articles are still awaiting full-text.
Added notes are visible to the entire team.
History: see the voting history of the record.
During the full-text review stage in Covidence, you can streamline access to articles and maintain thorough review documentation by integrating with Zotero. Here’s how the process works:
This workflow lets you take advantage of Zotero’s full-text retrieval and reference management, ensures you are using the most accurate records, and provides a reliable way to track full-text acquisition and keep your review materials organized
Extraction 2.0 for Covidence is their most current tool and it's suited to data extraction from a variety of review types (scoping, etc), as well as quality assessment. Extraction 1.0 is designed specifically for interventional Cochrane Reviews. For our practice review, we will be using Extraction 2.0
Extraction 2.0 makes use of two fully customizable templates:
The data extraction template is pre-populated with common data options for interventional, randomized controlled trials which is designed for a systematic review. However, we are going top publish a customised template to account for our scoping review protocol. Every data extraction template can be fully customised to meet the needs of your team.
This is also where you can publish instructions for reviewers, so that everyone is on the same page. You must publish the template in order to utilize your extraction fields.
Sample data extraction template, for set up in Covidence:
|
Field |
Data field |
|---|---|
|
Heading |
Citation details |
|
Text field |
Study title |
|
Text field |
Authors |
|
Text field |
Corresponding author e-mail |
|
Text field |
Journal/source |
|
Heading |
Study characteristics |
|
Checkboxes |
Geographic location (Province, Territories, Canada) |
|
Single choice |
Study Design (cohort, cross-sectional, etc) |
|
Text field |
Setting (preschool, community centre, etc) |
|
Heading |
Population |
|
Text field |
Age range |
|
Text field |
Population description (general preschool, or specific subgroups) |
|
Heading |
Program characteristics |
|
Text field |
Program name (if applicable) |
|
Text field |
Screening methods/technologies used |
|
Text field |
Screening personnel (who did the screening?) |
|
Text field |
Frequency and timing of screening |
|
Heading |
Outcomes |
|
Text field |
Numbers screened |
|
Text field |
Referral criteria |
|
Text field |
Follow-up procedures |
|
Text field |
Key results (e.g., rates of detection, follow-up rates) |
|
Text field |
Barriers or facilitators described |
|
Heading |
Author notes and comments |
|
Text field |
Other notes and comments |
Covidence’s quality assessment template is designed to capture risk of bias (ROB) directly within your review workflow. When you reach the quality assessment stage, Covidence offers a built-in template based on the Cochrane Risk of Bias (RoB) tool, which is widely recognized for evaluating randomized controlled trials.
Risk of bias assessments are not typically performed in scoping reviews because the purpose of a scoping review is to provide an overview of the breadth of available evidence, without critically appraising or judging the quality or validity of individual studies. Scoping reviews aim to map the literature broadly, including studies regardless of methodological rigor or risk of bias.
In contrast, risk of bias assessment is a key component of systematic reviews, where the goal is to synthesize high-quality evidence and make clinical or policy recommendations. Systematic reviews must evaluate the internal validity of each included study to identify potential sources of bias that could affect the results and conclusions; this step is essential to ensure transparency and reliability in the final recommendations
How to start a quality assessment, video and articles
Data can be exported from Covidence in a variety of formats. References or bibliographic records can be exported at any point from Covidence in CSV format, or formatted for reference managers like Zotero, Endnote and Mendeley.

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses. PRISMA statements are often required with protocol manuscript submissions in the health sciences. Covidence will automatically generate a PRISMA statement for each review.
You can access your review’s PRISMA flowchart at any time from your Review Summary page. When you import references, they will immediately be displayed in your PRISMA flowchart. As you progress through your review, each stage of the PRISMA will continuously update to reflect your completed work. The PRISMA statement should be included in the Methods section of your manuscript.
Zotero can be used to insert in-text citations directly into your document while you write. By using the Zotero plugin for Word, Google Docs, or LibreOffice, you can quickly add citations from your Zotero library in any major citation style. Zotero automatically builds your bibliography as you go, ensuring in-text citations and the reference list stay perfectly matched and formatted

Library instruction sessions are meant to strengthen information literacy skills and offer patrons guided direction and hands-on practice with the Library’s resources and services. Today's library session will focus on utilizing two critical research tools for streamlining your structured reviews, and working with your references: Covidence, and Zotero. There are no marks or prerequisites for today's session, and all members of the University of Waterloo community are welcome.


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