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Use of Xpert consumable is not correctly logged #1602

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sakshimohan opened this issue Mar 4, 2025 · 1 comment
Open

Use of Xpert consumable is not correctly logged #1602

sakshimohan opened this issue Mar 4, 2025 · 1 comment
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@sakshimohan
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The use of Xpert consumable (item_code 187) is currently logged as 0 across all scenarios generated by job_id htm_and_hss_runs-2025-01-16T135243Z comparing horizontal versus vertical investments.

The tb module seems to request the use of Xpert correctly because it is logged as Not_Available under tlo.methods.healthsystem.summary, and the quantity not available correctly increases under TB scale up scenarios.

Xpert is delivered at level 2 facilities, with an average consumable availability recorded at 31%. The availability is 0% at level 1b facilities. The healthsystems.py module takes the average availability across levels 1b and level 2 (by district and month), so this is likely to bring the average availability down for the merged level 1b and 2 facilities used in the simulation, but not down to 0. So it's not clear what's happening here.

Additionally, there are major challenges with the disaggregated estimates of availability by month. For all districts, for 7 months, the availability recorded is close to 0 as per LMIS data. This is probably an artefact of OpenLMIS errors and needs to be corrected. See attached the availability at level 2 facilities by District (rows) and month (columns).

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sakshimohan pushed a commit that referenced this issue Mar 6, 2025
- this is a temporary fix while issue #1602 gets sorted
@tdm32
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tdm32 commented Mar 12, 2025

I have a couple of first suggestions:

  • set the availability of xpert to 1 and double-check that it is being recorded as Item_Used in the consumables log
  • check the dates that xpert is being requested (Tara) to make sure the requests are not all clumping in the first half of the year
  • simplify the tb diagnostic algorithm to make the debugging process more straightforward (Tara)
  • check the NTP reports to see how many xpert tests are being administered and over-write the availability to match with the reports

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