Evidence to implementation continuum for universal health coverage

Appraising and addressing design and implementation failure in global health: A pragmatic framework

There have been recent concerns about the failure of several global health interventions. Interventions are considered to have failed when they are unable to achieve the intended results. Failure may be linked to how the intervention was designed (design failure) or how it was implemented (implementation failure). Recently, substantial efforts have been employed to improve the outcomes of health interventions. These efforts have led to the development of several theories, models, and frameworks in implementation science to improve the quality of implementation, bridging the divide between evidence and practice. But significant gaps still exist. Whereas much work has been done to develop frameworks and approaches to improve implementation fidelity, not as much effort has been done to guide the adherence of interventions to program theory during the design of the programs. Further, there have been concerns about the applicability of these frameworks in the real-world. This article uses examples to illustrate these gaps and further proposes a pragmatic framework to address identified gaps, thus aiding evidence-informed program design and implementation. The proposed Theory-Design-Implementation (TyDI) framework will support policymakers, program planners and implementers to address potential design and implementation failure, thus improving the fidelity of interventions.

Primary healthcare planning, bottleneck analysis and performance improvement: An evaluation of processes and outcomes in a Nigerian context

Operational planning of interventions defines roadmaps, timelines and resources necessary for translating policies into expected health outcomes along the evidence-policy-implementation continuum. However, bottlenecks often hinder the attainment of objectives and the timely delivery of intervention packages leading to sub-optimal performance of health systems. Bottleneck identification, analysis and removal approaches to planning, which requires key stakeholders' participation, have been recommended to improve health system outcomes in LMICs. This study demonstrates how integration of participatory action research (PAR) within a quality improvement model can help navigate the complexities of health system bottleneck analyses, planning and performance improvement in a Nigerian sub-national context. The study is based on data collected between June 2016 and June 2017, from Chikun LGA in Kaduna State Nigeria. PAR was integrated into a quality improvement model called DIVA (Diagnose-Intervene-Verify-Adjust) applied across selected interventions (eMTCT, Antenatal care, skilled birth attendance, immunization and Integrated Management of Childhood Illnesses). PAR was used to identify and analyse health system bottlenecks, as well as develop, monitor implementation and follow-up on action plans to address them. Evaluations were conducted involving 2 cycles of DIVA. The outputs (bottleneck analysis charts, driver diagrams, operational plans, M/E reports, etc.) from each cycle of the DIVA process were collated and analysed. Bottlenecks identified include availability of human resources for health, availability of health commodities as well as geographical accessibility. These had implications on acceptability and quality of services. Mean Improvements recorded were 20.4%, 14.0% and 10.8% and 11.2%, 7.5%; 5.5% (across eMTCT, maternal health and child health interventions) in the 1 st and 2nd DIVA cycles respectively. This study highlights processes and outcomes of integrating PAR in quality improvement design and operations in health intervention programmes with a focus on health systems strengthening in a Nigerian context. Implementing the DIVA model using a PAR approach may be considered an effective strategy for planning and implementing health interventions in comparable settings.