The current trend in structural intervention and external control is to develop new methods to reduce their computational complexity and to define the optimal control problems and find the corresponding optimal policies for specific therapies.
Given the nature of reinforcing effects, the dynamics that create adverse effects will accelerate as scale-up, the number of disease-specific interventions, structures and external actors increase.
We compared the difference between the mean difference in change in scores for the corresponding pairwise comparisons between intervention, control and external control groups to eliminate any variation at baseline.
Several reasons may explain the lack of policy relevant research summaries for health systems: first, research on health systems interventions with internal and external validity is difficult to undertake and the methods to conduct this type of research are not well established.
However, in some kebeles, such as Kota Kombola there are large areas, with serious degradation problems that will require long-term intervention and probably external support (Figure 4).
There are many sources of structural transformation, but they can be grouped into two broad categories: (1) state intervention and (2) external shocks.
Such features of previous studies limit the reproducibility of the intervention and decrease external validity.
It provides insights into the interaction between components of the intervention and the external context in which it operates.
The overall total PACIC score change between the intervention and the external control group was 0.11 [95% CI: 0.01 0.22], (p = 0.038) (data not shown but available).
Employment outcomes (including progression towards work) and how they differ by client characteristics (including health), intervention components received and external factors will be investigated.
