Convergent parallel mixed-methods design in health policy analysis: A worked example from South Africa’s non-communicable disease policies

Background Health policy problems such as the rising burden of non-communicable diseases (NCDs) in South Africa are complex and cross-sectoral. Methodological approaches that integrate policy content, context, actors, and system capacities can yield more actionable insights for implementation than single-method designs. Methods This article presents a worked example of a convergent parallel mixed-methods design for health policy analysis, combining (i) qualitative document analysis of three purposively selected health policies and a quantitative provincial-level survey of policy-relevant health officials (n = 57) from seven provinces in South Africa. Analyses were conducted independently and integrated at the interpretation stage to develop and validate policy-improvement strategies through a Delphi process. The design was theoretically anchored in Stages Heuristics and the WHO Analytical Framework for Social Determinants of Health (SDH). Results The qualitative strand identified strong multi-stakeholder involvement in policy formulation with limited operationalisation of critical SDH domains such as socio-economic position, gender, race, and education. The quantitative strand revealed capacity constraints: human resources, financing, technology, and infrastructure that limit implementation readiness at provincial level and crowd out NCD activities relative to other priorities. Integrated interpretation produced six Delphi-validated strategies. Conclusions Convergent parallel mixed-methods design is feasible, informative, and well-suited to health policy analysis where actionable guidance requires the triangulation of policy content with system capacities and governance realities. The worked example demonstrates how to specify strands, preserve independence, integrate findings, and move from evidence to implementable strategies and indicators.