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Synthesize research literature using systematic evidence mapping. Scope definition: 1. Broad research question suitable for mapping rather than systematic review. 2. Conceptual framework: logic model or theory of change. 3. Inclusion criteria: population, interventions, outcomes, study designs. Search strategy: 1. Comprehensive database searches: PubMed, EMBASE, PsycINFO, ERIC. 2. Grey literature: conference abstracts, government reports, organizational websites. 3. Citation chasing: reference lists of included studies. Screening and data extraction: 1. Title/abstract screening: liberal inclusion at this stage. 2. Full-text screening: apply inclusion criteria strictly. 3. Data extraction: study characteristics, interventions, outcomes, findings. Evidence map creation: 1. Visual representation: heat maps, bubble plots, network diagrams. 2. Dimensions: populations (x-axis) by interventions (y-axis), bubble size=number of studies. 3. Quality assessment: traffic light system for study quality. Gap identification: empty cells indicate research gaps, areas with low-quality evidence need better studies.
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This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.