IS4NCDs Implementation Roadmap for NCD Programmes: Parts A & B – Intermediate Modules in Quality, Mixed-Methods Research, and Participatory Action Research

The IS4NCDs consortium's implementation science roadmap for non-communicable disease (NCD) programmes – currently under development – recognises that bridging the 'know-do' gap requires more than just effective interventions. Practical expertise is needed to deploy them reliably, equitably, and with consistent quality across diverse settings and populations. Despite solid clinical protocols for prevention, screening, diagnosis, treatment initiation, adherence support, and sustained follow-up, NCD outcomes frequently disappoint owing to patchy delivery and health systems unprepared for reliable, ongoing care. NCDs' chronic, multimorbid profile – requiring persistent self-management, interdisciplinary teamwork, and regular system touchpoints – allows even minor procedural slips to compound over time, jeopardising results. A structured suite of modules is thus vital to empower the workforce in translating evidence into routine NCD practice through measurable, collaborative, and viable means.

The programme fosters progressive skill-building. Foundational implementation science modules cover essential concepts, theories, frameworks, and outcomes (including acceptability, feasibility, fidelity, adoption, reach, equity, and sustainment), alongside skills for pinpointing contextual drivers and adapting strategies. Subsequent intermediate modules in quality improvement, mixed-methods research, and participatory action research (PAR) supply practical tools for service deployment. The quality module enables learners to build dependable learning systems, curb unjustified variation, and leverage metrics for advancement (via process/balancing measures, run charts, and time-series tracking), all while balancing fidelity against necessary adaptations in multifaceted NCD pathways. Mixed-methods approaches are indispensable, since NCD issues rarely trace to singular causes: quantitative data highlights gaps (e.g., in treatment starts, retention, or control rates), while qualitative insights reveal root explanations (e.g., workflow bottlenecks, patient challenges, team interplay, or cultural norms). In tandem, they bolster causal understanding, strategy refinement, and rigorous evaluations – even hybrid types. PAR stands out for NCD contexts, where enduring shifts rely on co-design with service users and providers: patients, communities, frontline workers, and managers. It cultivates expertise in joint problem identification, ethical collaboration, cyclical co-development, and shared review, enhancing strategy legitimacy, adoption, and endurance – particularly for self-care and care continuity.

Participating higher education institutions gain curriculum renewal attuned to national imperatives for chronic disease control, primary healthcare bolstering, and universal coverage. The programme equips graduates to champion hands-on implementation, quality drives, and inquiry partnerships; ignites inter-field education and research across public health, clinical practice, management, and data expertise; and forges avenues for scholarly work like implementation reviews, mixed-methods analyses, and PAR learning collaborations. It further casts institutions as leaders in learning health systems that yield practice-derived evidence to guide redesign and scaling.

Nationally, this IS4NCDs consortium initiative – actively being shaped – elevates NCD performance by fortifying evidence-based intervention delivery with reliability, efficiency, equity, and durability. Graduates emerge equipped to narrow care inconsistencies, reinforce referral/follow-up networks, uphold clinical protocols, and weave continuous measurement and adaptation into everyday services. Integrating implementation science with quality, mixed-methods, and PAR not only hones strategy decisions but cultivates grassroots commitment, astute modifications, and compelling scale-up evidence – yielding better control, fewer complications and avoidable admissions, enhanced patient journeys, and resource efficiencies over time.