Qualitative research is key in understanding complex health issues for doctors, healthcare workers, policy makers, and patients. But, bad study designs and poor reporting can lead to wrong use of these studies in making decisions and health policies. This guide will help you understand COREQ, a detailed checklist for reporting health research studies, like in-depth interviews and focus groups.
Components of COREQ
The COREQ checklist consists of 32 items organized into three domains:
- Domain 1: Research team and reflexivity (8 items)
- Domain 2: Study design (15 items)
- Domain 3: Analysis and findings (9 items)
Each domain addresses specific aspects of qualitative research that should be reported transparently.
Technical Details
Domain | Focus Areas |
---|---|
Research team & reflexivity | Personal characteristics, relationship with participants |
Study design | Theoretical framework, participant selection, setting, data collection |
Analysis & findings | Data analysis, reporting, clarity of themes |
Key Specifications
- Publication Year: 2007
- Developers: Tong, Sainsbury, and Craig
- Original Journal: International Journal of Qualitative in Health Care
- Purpose: Improve the explicit and comprehensive reporting of qualitative studies
- Application: Interviews and focus groups (primarily)
- Citation: Over 17,000 citations (as of 2023)
Operating Principles
The COREQ guidelines operate on several key principles:
- Transparency: Full disclosure of research processes
- Reflexivity: Acknowledging researcher perspective and influence
- Methodological Rigor: Detailed reporting of study design choices
- Contextual Clarity: Clear description of study settings and participants
- Analytical Thoroughness: Explicit description of analysis procedures
Best Practices
- Use COREQ early in the research planning stage, not just during manuscript preparation
- Address all 32 items comprehensively or provide justification for omissions
- Include a completed COREQ checklist as supplementary material with manuscript submissions
- Cross-reference COREQ items with manuscript sections for ease of review
- Review the checklist collaboratively with all members of the research team
- Update the checklist if research protocols change during the study
Implementation Guide
Follow these steps to effectively implement COREQ in your research:
- Download the official COREQ checklist from the EQUATOR Network
- Review each item and identify how it applies to your specific study
- Create a documentation system to track compliance with each item
- Integrate COREQ requirements into your research protocol
- Use the checklist during team meetings to ensure comprehensive reporting
- Complete the checklist when drafting your manuscript
- Include the completed checklist when submitting to journals
Quality Assurance Procedures
Initial Planning
- Review COREQ before designing study
- Identify items requiring special attention
- Create tracking document
During Data Collection
- Document participant selection process
- Track non-participation and dropouts
- Record interview/focus group details
During Analysis
- Document coding procedures
- Track theme development
- Record analytical decisions
Manuscript Preparation
- Verify all 32 items are addressed
- Cross-check with journal requirements
- Prepare supplementary checklist
Troubleshooting Common COREQ Challenges
Common Issue | Cause | Solution |
---|---|---|
Word count limitations | Journal restrictions on manuscript length | Prioritize essential items in main text; provide complete checklist as supplementary material |
Unclear reflexivity reporting | Difficulty articulating researcher position | Use structured approach to document personal characteristics and relationship to research topic |
Inadequate participant selection details | Insufficient documentation during recruitment | Create recruitment log tracking approach method, response rate, and selection criteria |
Missing methodological orientation | Lack of clarity about theoretical framework | Explicitly state qualitative approach (e.g., grounded theory, phenomenology) and underlying philosophy |
Vague data analysis description | Complex analytical process difficult to describe concisely | Create step-by-step description with examples of coding process and theme development |