Adapting an Indicator

WHO HIV DAK → Ethiopia · authored in Annex C (indicators & performance metrics)
INDICATOR
The adaptation loop: locate, read WHO logic, find national divergences, author, check, record provenance

The 6 steps

  1. Locate & check computable. In Annex A, filter by Linkages to aggregate indicators. Numerator and denominator must come from routine data elements — if it needs a survey or external source, STOP (not a DAK indicator).
  2. Read the WHO logic. The numerator and denominator definitions, and which data elements they use.
  3. Find national divergences. Disaggregations and the exact national definitions of the counts. [confirm: ETH]
  4. Author. Fill the Annex C template fields (format →).
  5. Check. Numerator & denominator come only from Annex A elements; reconcile against a known total (e.g. last quarter).
  6. Record provenance. Divergence from the WHO definition + national reference; track the version.

Worked shape — HIV testing positivity

HIV positivity = positives over tested, both from data-dictionary elements, disaggregated

Format (Annex C)

  • short name · definition · category · what it measures · rationale
  • numerator definition + calculation
  • denominator definition + calculation
  • disaggregation · reference (+ DAK ID, SI ref)
  • Pattern: COUNT of clients where [element]=value AND [date] in period

Don't break it

  • Not computable from routine DAK data (survey / supply / multi-source) — measured elsewhere, not authored as DAK logic: condoms distributed, needles/syringes, condom use, KP know-status, KP on ART
  • Every element must already exist in Annex A
  • Changed a DD element? Update every linked indicator (Annex A Linkage columns)
  • Mind operator precedence; keep population names consistent

Done?

  • Computable from routine data
  • Num & denom are Annex A elements
  • Disaggregation matches national reporting
  • Reconciled to a known total
  • Provenance recorded; ground-truthed