A conjunctural road to low DTP3

By the end of this module you will be able to

Frame a low-DTP3 question for CNA.
Read a single-pathway (conjunctural) solution.
Explain why no one condition in the bundle is enough alone.

Suppose you study low DTP3 coverage with four gap conditions: untrained staff, recent stockout, broken cold chain, and no supervision. A common CNA result is a single bundle, where low coverage needs several gaps to gang up at once.

dtp3.R

library(cna)

# columns: NoTrain, Stockout, NoCold, NoSuper, LowDTP3 (all 0/1)
m_dtp3 <- cna(dtp3_data, outcome = "LowDTP3")
m_dtp3

Illustrative solutioncondition: Stockout*NoCold*NoSuper <-> LowDTP3

Interpretation: DTP3 collapses where a stockout, a broken cold chain, and absent supervision all land in the same place. No single gap is the villain. This is conjunctivity, the gangs-up idea, showing its face in a real coverage indicator. It also tells you that fixing only one of the three may not be enough on its own.

Reflect

Apply it to your own DTP3 numbers.

Which gaps would you put on the list of candidate conditions?
If the result is a bundle, what does that imply for what you fund?