I'm conducting a qualitative systematic review or meta-ethnography. Help me: 1) Search systematically for qualitative studies on topic
Guide to Systematically Searching for Qualitative Studies
I'll help you develop a comprehensive search strategy for your meta-ethnography. Here's a step-by-step approach:
1. DEFINE YOUR RESEARCH QUESTION
First, clarify your focus using a framework like:
- PICo: Population, Phenomenon of Interest, Context
- SPIDER: Sample, Phenomenon of Interest, Design, Evaluation, Research type
Example: If studying patient experiences of chronic pain:
- Population: Adults with chronic pain
- Interest: Lived experiences, coping strategies
- Context: Primary care settings
2. IDENTIFY KEY CONCEPTS & SEARCH TERMS
Create a term list for each concept:
Concept terms (your topic):
- Main terms + synonyms
- Lay terms + professional terms
Qualitative methodology filters:
- interview, focus group, qualitative, ethnograph, phenomenolog, grounded theory, lived experience, narrative, thematic analysis
3. SELECT DATABASES
Essential databases:
- MEDLINE (PubMed/Ovid)
- CINAHL (nursing/allied health)
- PsycINFO (psychology)
- Scopus or Web of Science
Discipline-specific options:
- ERIC (education)
- Sociological Abstracts
- ASSIA (social sciences)
- Anthropology Plus
4. BUILD YOUR SEARCH STRATEGY
Structure using Boolean operators:
(Concept 1 terms) AND (Concept 2 terms) AND (Qualitative filter)
Example search (PubMed):
("chronic pain"[Title/Abstract] OR "persistent pain"[Title/Abstract])
AND
("patient experience*"[Title/Abstract] OR "lived experience*"[Title/Abstract])
AND
(qualitative[Title/Abstract] OR interview*[Title/Abstract] OR
"focus group*"[Title/Abstract])
Tips:
- Use truncation (*) for word variations
- Use phrase searching (" ") for exact phrases
- Adapt syntax for each database
- Don't over-restrict - qualitative studies may not use methods terms consistently
5. SUPPLEMENTARY SEARCH METHODS
Citation searching:
- Forward citation tracking (who cited key papers?)
- Backward citation tracking (reference lists)
- Use Google Scholar, Web of Science, or Scopus
Hand searching:
- Key journals in your field
- Recent issues not yet indexed
Grey literature:
- OpenGrey, ProQuest Dissertations
- Organizational/government reports
- Conference proceedings
Contact experts:
- Authors of key studies
- Professional networks
6. DOCUMENT YOUR PROCESS
Create a search log recording:
- Date of search
- Database and platform used
- Complete search string
- Number of results
- Any filters applied (date, language)
Use PRISMA flowchart to track:
- Records identified
- Duplicates removed
- Records screened
- Studies included/excluded with reasons
7. QUALITATIVE-SPECIFIC QUALITY FILTERS
Consider validated filters like:
- PubMed qualitative filter (Hedges filter)
- CINAHL qualitative limit (built-in limiters)
But be cautious - these may exclude relevant studies.
8. MANAGE YOUR RESULTS
- Use reference management software (Zotero, EndNote, Mendeley)
- Export results with full details
- Remove duplicates systematically
- Consider using Covidence or Rayyan for screening
SAMPLE SEARCH STRATEGY TEMPLATE
Database: CINAHL (EBSCO)
Date: [Date]
Results: [Number]
# | Search Terms | Results |
---|---|---|
S1 | (MH "Chronic Pain") | |
S2 | TI/AB ("chronic pain" OR "persistent pain") | |
S3 | S1 OR S2 | |
S4 | (MH "Qualitative Studies+") | |
S5 | TI/AB (qualitative OR interview OR ethnograph) | |
S6 | S4 OR S5 | |
S7 | S3 AND S6 |
Limits applied: English language, 2010-2024
That's an excellent project! Searching systematically for qualitative studies presents unique challenges compared to quantitative studies, primarily because:
- Terminology: Qualitative research methods and reporting styles are diverse, and studies may not explicitly use the term "qualitative."
- Indexing: Database indexing for qualitative studies isn't as robust or standardized as for clinical trials.
- Recall vs. Precision: For qualitative synthesis, you often prioritize recall (finding as many relevant studies as possible) over precision (minimizing irrelevant hits), meaning your initial searches might yield many non-qualitative studies.
Here's a comprehensive, step-by-step guide to systematically search for qualitative studies for your review or meta-ethnography:
Step 1: Planning and Preparation – Laying the Groundwork
Before you even touch a database, thorough planning is crucial.
- Clearly Define Your Research Question:
- Qualitative questions often focus on experiences, perceptions, meanings, or processes. Use frameworks like SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) or ECLIPSE (Expectation, Client Group, Location, Impact, Professionals, Service) to structure your question.
- Example (SPIDER): What are the experiences (Phenomenon) of young adults (18-25) living with Type 1 Diabetes (Sample) regarding self-management (Evaluation) as explored through qualitative research (Design, Research Type)?
- Develop a Comprehensive List of Keywords and Synonyms:
- Concept 1: Your Topic/Phenomenon: Brainstorm all possible terms, jargon, and lay language related to your core topic.
- Example: "Type 1 Diabetes," "T1D," "juvenile diabetes," "insulin-dependent diabetes."
- Example: "Self-management," "self-care," "adherence," "coping," "daily life," "routine," "treatment burden."
- Concept 2: Population/Sample (if applicable):
- Example: "Young adult," "adolescent," "youth," "emerging adult," "student."
- Concept 3: Qualitative Methodology Terms: This is critical! Think broadly.
- Methods: "qualitative research," "interview," "focus group," "discourse analysis," "narrative analysis," "thematic analysis," "content analysis (if qualitative)," "ethnography," "phenomenology," "grounded theory," "case study (if qualitative)," "action research."
- Outcomes/Experiences: "experience," "perception," "perspective," "view," "attitude," "belief," "meaning," "understanding," "feeling," "lived experience," "journey," "story."
- Context: "social," "cultural," "contextual."
- Use Boolean Operators:
OR
to combine synonyms (e.g.,(Type 1 Diabetes OR T1D OR juvenile diabetes)
).AND
to combine different concepts (e.g.,(Diabetes terms) AND (Self-management terms) AND (Qualitative terms)
).NOT
(use with extreme caution) to exclude highly irrelevant terms.- **Use Truncation (
*
) and Wildcards (?
):** experienc*
will find "experience," "experiences," "experiencing."wom?n
will find "woman," "women."- Identify Key Databases:
- Biomedical/Health Sciences:
- PubMed/MEDLINE: Essential for health topics. Use MeSH (Medical Subject Headings).
- CINAHL (Cumulative Index to Nursing and Allied Health Literature): Excellent for qualitative health research, often has good qualitative filters.
- PsycINFO: For psychological and behavioral aspects.
- Embase: Broad biomedical coverage, strong for drug research.
- Web of Science (Core Collection): Multi-disciplinary, strong for citation tracking.
- Scopus: Broad scientific, technical, medical, and social science coverage, good for citation tracking.
- Social Sciences/Education:
- Sociological Abstracts: For sociological perspectives.
- ERIC (Education Resources Information Center): If your topic has an educational component.
- Dissertations & Theses:
- ProQuest Dissertations & Theses Global: Crucial for identifying unpublished qualitative research.
- Google Scholar: Use with caution for initial broad searches, but it's less systematic for tracking. Useful for finding grey literature and forward citation searching.
- Develop a Search Protocol:
- Document your research question, inclusion/exclusion criteria, planned databases, keywords, and search strategy. This ensures transparency and reproducibility.
- Consider using a template like the PRISMA-S (PRISMA for Search Strategies) extension.
Step 2: Executing the Search – Iterative and Comprehensive
This phase involves running your searches and adapting as you go.
- Perform Pilot Searches:
- Start with one database (e.g., CINAHL or PubMed) and a core set of terms.
- Evaluate the results: Are you getting relevant studies? Are you missing obvious ones?
- Refine your keywords and operators based on the pilot's findings. This is an iterative process.
- Build Your Search Strategy for Each Database:
- Concept-by-Concept Approach:
- List all search terms for your first concept (e.g., Topic). Combine them with
OR
. - List all search terms for your second concept (e.g., Population). Combine them with
OR
. - List all search terms for your third concept (e.g., Qualitative Methodology). Combine them with
OR
. - Combine all three sets using
AND
. - Utilize Subject Headings (Thesaurus Terms):
- MeSH (Medical Subject Headings) in PubMed/MEDLINE: Search for your topic and qualitative terms within the MeSH database. Use "Explode" to include narrower terms.
- CINAHL Headings in CINAHL: Similar to MeSH, very helpful for nursing and allied health.
- Thesaurus in PsycINFO: For psychological terms.
- Key Tip: Don't only rely on subject headings. Always combine them with free-text keyword searching in titles and abstracts (
[tiab]
) to capture newer articles or those not perfectly indexed. - Incorporate Qualitative Filters/Limiters (with caution):
- Some databases (e.g., CINAHL, PsycINFO) have specific "Qualitative Study" limiters.
- Caution: These limiters are often not comprehensive and can exclude relevant studies. Use them as an additional search string rather than a sole filter, or use them and then run a separate, broader search without them to compare results.
- Best Practice: Rely more heavily on your comprehensive list of qualitative keywords (e.g.,
(qualitative OR interview OR grounded theory OR phenomenology OR experience OR perception)
) combined with your topic terms. - Adapt to Each Database's Syntax:
- Each database has slightly different syntax for Boolean operators, truncation, and field codes (e.g.,
[tiab]
for PubMed,TI,AB
for Embase). Consult their help sections. - Save and Document Your Search Strings:
- Record the full search string for each database, along with the date of the search and the number of results found. This is vital for your methodology section and PRISMA flow diagram.
Step 3: Expanding and Refining – Beyond Initial Database Searches
Qualitative research often requires more expansive searching beyond standard databases.
- Reference List Checking (Citation Chasing/Snowballing - Backward):
- Once you've identified initial highly relevant studies, meticulously check their reference lists for other pertinent articles. This is often one of the most fruitful strategies for qualitative reviews.
- Forward Citation Searching:
- Use databases like Web of Science, Scopus, and Google Scholar to find articles that have cited your key relevant papers. This helps identify newer research that built upon or responded to the foundational work.
- Grey Literature Search:
- Qualitative research may be published in non-peer-reviewed sources due to its nature (e.g., dissertations, government reports, conference proceedings).
- Databases: ProQuest Dissertations & Theses Global, OpenGrey, specific organizational websites (e.g., WHO, CDC, national health bodies, charities relevant to your topic).
- Google Scholar/Advanced Google Search: Can be useful here, but results require more critical appraisal.
- Hand Searching Key Journals:
- Identify 3-5 core qualitative research journals or journals highly relevant to your topic that frequently publish qualitative work. Manually browse their tables of contents for the last 5-10 years.
- Examples of qualitative journals: Qualitative Health Research, Qualitative Research, Journal of Advanced Nursing (often publishes qualitative work), Social Science & Medicine.
- Contact Experts:
- Reach out to researchers prominent in your field and ask if they know of any relevant unpublished work, ongoing studies, or studies you might have missed.
Step 4: Managing and Documenting Your Results
- Import Results into Reference Management Software:
- Use tools like EndNote, Zotero, Mendeley, or Rayyan (specifically designed for systematic reviews).
- This allows for easy deduplication, screening, and organization of articles.
- Deduplicate Records:
- After importing from all databases, remove duplicate entries. Reference managers have built-in functions for this.
- Screening:
- Title/Abstract Screening: Go through all unique records, first by title and abstract, to identify potentially relevant studies. Have at least two reviewers screen independently to reduce bias and ensure accuracy.
- Full-Text Screening: Retrieve the full text for all studies that pass title/abstract screening. Again, have two reviewers independently assess eligibility against your inclusion/exclusion criteria. Resolve any discrepancies through discussion or a third reviewer.
- Create a PRISMA Flow Diagram:
- Document the number of records identified, duplicates removed, records screened, excluded (with reasons), and finally, the number of studies included in your review. This is a standard requirement for systematic reviews.
- Maintain a Detailed Search Log:
- Keep a record of every database searched, the exact search strings used, the date of the search, and the number of results obtained. This is crucial for transparency and reproducibility in your methods section.
Key Takeaways for Qualitative Systematic Searching:
- Be Comprehensive: Use a wide range of keywords for both your topic and qualitative methodology.
- Be Iterative: Your search strategy will evolve as you discover new terms and find relevant studies.
- Go Beyond Standard Databases: Grey literature, citation chaining, and hand-searching are vital.
- Document Everything: Transparency is paramount for a systematic review.
- Two Reviewers: For screening, this significantly enhances rigor and reduces bias.
This detailed approach should set you up for a robust and systematic search for your qualitative review or meta-ethnography. Good luck!
Conducting a qualitative systematic review or meta-ethnography involves a systematic and rigorous approach to searching for and synthesizing qualitative studies on a specific topic. Here are the steps to help you search systematically for qualitative studies:
1. Define Your Research Question
- Clarify the Topic: Clearly define the research question or topic you are interested in. This will guide your search strategy.
- PICO Framework: Although traditionally used for quantitative reviews, the PICO framework (Population, Intervention, Comparison, Outcome) can be adapted for qualitative research. For qualitative studies, you might focus on Population, Phenomenon of Interest, and Context.
2. Develop a Search Strategy
- Keywords and Search Terms: Identify key concepts and terms related to your topic. Use a combination of keywords, synonyms, and related terms.
- Boolean Operators: Use Boolean operators (AND, OR, NOT) to combine search terms effectively.
- Truncation and Wildcards: Use truncation (*) and wildcards (?) to capture variations of terms.
3. Select Databases
- Electronic Databases: Use a variety of databases to ensure comprehensive coverage. Common databases for qualitative research include:
- PubMed/MEDLINE
- CINAHL
- PsycINFO
- Embase
- Scopus
- Web of Science
- Sociological Abstracts
- Google Scholar
- Grey Literature: Include sources like dissertations, conference proceedings, and reports from organizations.
4. Conduct the Search
- Initial Search: Perform an initial search using your keywords and search terms.
- Refine Search: Review the initial results and refine your search strategy as needed. This might involve adding or removing search terms, adjusting Boolean operators, or using filters.
- Documentation: Keep a detailed record of your search strategy, including the databases searched, search terms used, and the number of results retrieved.
5. Screen and Select Studies
- Title and Abstract Screening: Review the titles and abstracts of the retrieved studies to determine their relevance to your research question.
- Full-Text Review: Obtain and review the full texts of potentially relevant studies to assess their eligibility.
- Inclusion and Exclusion Criteria: Develop clear inclusion and exclusion criteria to guide your selection process. Criteria might include study design, population, context, and relevance to the research question.
6. Quality Appraisal
- Critical Appraisal Tools: Use established tools to assess the quality of the qualitative studies. Common tools include:
- Critical Appraisal Skills Programme (CASP)
- Consolidated Criteria for Reporting Qualitative Research (COREQ)
- Standards for Reporting Qualitative Research (SRQR)
- Exclusion Based on Quality: Decide whether to exclude studies based on quality. This decision should be transparent and justified.
7. Data Extraction
- Data Extraction Form: Develop a data extraction form to systematically extract relevant information from each study. This might include study characteristics, methodology, findings, and quotes.
- Consistency: Ensure consistency in data extraction by having multiple reviewers and resolving discrepancies through discussion.
8. Synthesis
- Thematic Analysis: Use thematic analysis to identify, analyze, and report patterns (themes) within the data.
- Meta-Ethnography: If conducting a meta-ethnography, follow the seven-step process outlined by Noblit and Hare:
- Getting started
- Deciding what is relevant to the initial interest
- Reading the studies
- Determining how the studies are related
- Translating the studies into one another
- Synthesizing translations
- Expressing the synthesis
9. Reporting
- Transparent Reporting: Ensure transparent reporting of your methods and findings. Use guidelines such as the Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) statement.
- Publication: Consider publishing your systematic review or meta-ethnography in a relevant journal to contribute to the body of knowledge.
Tools and Resources
- Reference Management Software: Use tools like EndNote, Zotero, or Mendeley to manage your references and citations.
- Search Alerts: Set up search alerts in databases to stay updated on new publications related to your topic.
By following these steps, you can systematically search for and synthesize qualitative studies on your topic, ensuring a rigorous and comprehensive approach to your qualitative systematic review or meta-ethnography.
💡 Try this comparison yourself:Compare AI models side-by-side on SNEOS
Analysis
This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:
Response Characteristics
Claude: Provides a detailed response with 11 sentences.
Gemini: Provides a direct response with 147 sentences.
Mistral: Provides a direct response with 49 sentences.
Key Takeaways
- Each model brings unique strengths to this type of query
- Response styles vary significantly between models
- Consider your specific use case when choosing between these models
Try This Comparison Yourself
Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.
This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: Claude, Gemini, Mistral