Here is a broad set of study design ideas for a review article on self-medication, organized by review type and research angle. I've grounded these in current literature patterns from recent systematic reviews and meta-analyses.
The choice of review type shapes everything else. Here are the main options with their tradeoffs:
Be precise in your inclusion criteria. You can focus on:
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Prevalence question: "What is the global/regional prevalence of self-medication among [population]?"
- Design: systematic review + meta-analysis using random-effects model
- Output: pooled prevalence with 95% CI, subgroup analyses by region/age/drug class
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Determinants/predictors question: "What individual, social, and health-system factors are associated with self-medication?"
- Design: systematic review + meta-analysis of observational studies
- Output: pooled OR/RR for each predictor (cost of healthcare, education, knowledge, access, etc.)
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Outcomes question: "What are the adverse outcomes (drug interactions, resistance, delays in diagnosis) of self-medication?"
- Design: systematic review (meta-analysis may not be feasible due to outcome heterogeneity)
- Output: thematic synthesis, risk narrative
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Knowledge, Attitudes, and Practices (KAP) question: "What do people know about risks of self-medication, and how does knowledge relate to behavior?"
- Design: scoping review or systematic review with narrative synthesis
- Output: KAP framework, educational gaps
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Intervention question: "What interventions are effective in reducing inappropriate self-medication?"
- Design: systematic review of RCTs and quasi-experimental studies
- Output: GRADE evidence table, policy recommendations
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AMR-specific question: "What is the role of antibiotic self-medication in driving antimicrobial resistance?"
- Design: systematic review linking self-medication prevalence data to resistance surveillance data
- Very publishable, high impact - see Gashaw et al. 2025, PMID 40012022
If you share more details about your specific focus or target journal, I can narrow these ideas down and suggest a more tailored design approach.