PRISMA flow diagram and Data extraction Matrix

Appendix 2: Data Extraction Template A2.1 Overview The data extraction (or data charting) process was designed to systematically capture, summarise, and organise information from each of the 29 included studies and policy documents on climate change and health in Kenya (2010–2025). Extraction focused on key variables reflecting study characteristics, methodological design, thematic focus, and principal findings. This structured process ensured that evidence could be synthesised thematically in Chapter 3 (Results) and interpreted within the adaptive-governance framework in Chapter 4 (Discussion). The template follows best-practice guidance from Arksey & O’Malley (2005), Levac et al. (2010), and the PRISMA-ScR checklist (Tricco et al., 2018). 🔹 Summary Interpretation The extracted dataset reveals Kenya’s evolution from broad climate policy formulation (2010–2016) to integrated climate–health adaptation (2020–2025). Empirical studies increasingly address mental health, air pollution, and nutrition, though infectious disease and governance themes remain dominant. The 29 records span policy, academic, and institutional literature, reflecting both Kenya’s leadership in Africa’s climate–health agenda and persistent data gaps in subnational adaptation metrics. A2.4 Extraction and Validation Procedure 1.      Tool Used: Zotero reference manager and Microsoft Excel were used to manage citations and populate the data-charting table. 2.      Dual Coding: Two independent reviewers extracted data for cross-validation of inclusion and coding accuracy. 3.      Harmonisation: Discrepancies were discussed and reconciled before final synthesis. 4.      Quality Check: Each entry verified for consistency with PRISMA-ScR checklist. 5.      Cross-Referencing: Extracted studies mapped to PRISMA flow counts (Appendix 1) and to geographic map locations (Appendix 3). A2.5 Summary Interpretation The data extraction exercise yielded a structured dataset enabling both descriptive mapping and thematic synthesis of climate–health research in Kenya. Most included items were policy or framework documents (≈ 60 %), while peer-reviewed empirical studies accounted for ≈ 40 %. Commonly captured health outcomes included vector-borne and waterborne diseases, food insecurity, respiratory illnesses, and mental-health effects. Gaps were consistent across studies: limited longitudinal surveillance, sparse county-level data, and under-representation of non-communicable diseases and occupational heat exposure. A2.6 Compliance Statement PRISMA-ScR Element Compliance Evidence in Appendix 2 Clear extraction framework ✅ Variables table (A2.2) Example charted records ✅ Sample entries (A2.3) Description of validation process ✅ Section A2.4 Link to synthesis approach ✅ Section A2.5 Alignment with scoping-review objectives ✅ Entire appendix