From Evidence to Action: Securing Lasting Delivery Networks for NCD Care

From Evidence to Action: Securing Lasting Delivery Networks for NCD Care

21 September 2026

Translating clinical guidelines for non-communicable diseases (NCDs) into real-world practice requires a systematic approach to implementation science. To successfully scale up care, health systems must move beyond general public health frameworks and master the practical tools needed to turn an implementation diagnosis into a fully specified, costed, and evaluable programme, aligning strategy design with robust monitoring.

The Challenge of NCD Scale-Up in Resource-Constrained Environments

Non-communicable diseases represent a rapidly rising burden on health systems already stretched by historic infectious disease priorities. Yet, the implementation of proven NCD interventions remains slow and fragmented. Traditional public health approaches often overlook how an intervention is delivered within complex district health systems, leading to a failure to sustain or scale up effective care. Implementation science addresses this bottleneck by focusing explicitly on the methods used to promote the systematic uptake of research findings into routine practice. However, designing a delivery framework that is both theoretically sound and operationally viable requires specialised competencies that move beyond clinical expertise.

From Diagnosis to Strategy: Matching Barriers with the ERIC Taxonomy

An effective programme begins with a rigorous implementation diagnosis within the local clinic or community context. Rather than guessing why a clinical guideline—such as routine hypertension screening or diabetes follow-up—is not being adhered to, implementers must systematically identify specific institutional, behavioural, and resource-driven barriers.

A structured approach requires systematically matching these diagnosed barriers to evidence-based implementation strategies. Utilising the Expert Recommendations for Implementing Change (ERIC) taxonomy, professionals learn to use a standardised language to select from dozens of discrete strategies—such as task-shifting, educational outreach, or appointing local clinical champions. This shifts health systems away from ad-hoc solutions and toward reproducible, targeted interventions suited to local realities.

IRLM: Integrating Theory of Change and Logframes

While many health professionals are familiar with traditional planning tools like Theories of Change and Logical Frameworks (logframes) often required by external funders, these models can fail to capture the complex, non-linear mechanisms of implementation science.

The core planning instrument for complex interventions is the Implementation Research Logic Model (IRLM). Understanding the distinct roles of these three frameworks allows implementers to master the IRLM to explicitly link selected strategies to their specific psychological or structural mechanisms, and finally to their downstream outcomes. The result is a fully specified, costed, and highly visual roadmap that provides absolute clarity on how and why an initiative is expected to succeed before capital is deployed.

Smart Data Systems Without the Frontline Burden

A well-designed strategy is meaningless without an evaluable framework that works in the real world. Monitoring and evaluation (M&E) must be specialised for NCD environments where electronic registries may be nascent or fragmented. This requires meticulous indicator selection across three distinct dimensions: implementation outcomes (e.g., acceptability, feasibility), service outcomes (e.g., efficiency, equity), and client outcomes (e.g., clinical health status).

Crucially, health leaders must address the data requirements these indicators impose. This involves critically appraising what routine health information systems can realistically answer and knowing how to judge data quality. A major priority must be placed on balancing the need for robust scientific evaluation with the operational reality of the healthcare workforce, ensuring that data collection does not place an unsustainable burden on already strained frontline clinical staff.

Developing Local Expertise

For health systems grappling with a dual burden of disease, acquiring these precise technical toolkits is essential to transform clinical evidence into lasting impact. To help health professionals move from conceptual problem-solving to holding a concrete, costed, and rigorously structured delivery plan ready for real-world deployment, our Core training module, Designing, Monitoring & Evaluating Implementation Programmes, has been developed around these exact methodology steps. This upcoming training module guides participants through the practical application of the ERIC taxonomy and the IRLM to align strategy design with robust monitoring.

The IS4NCDs project has received funding from the European Union's Erasmus+ programme under Grant Agreement no. 101179511

The IS4NCDs project has received funding from the European Union's Erasmus+ programme under Grant Agreement no. 101179511