pepfar-datim / Data-Pack-Feedback

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HTS Tab calculations #13

Closed CharlottePCOMOZ closed 5 years ago

CharlottePCOMOZ commented 5 years ago

The way the HTS tab is programmed will require people to re-enter distributions every time the separately targeted modalities are updated (PMTCT, VMMC, index, and TB). In the HTS tab, the calculations of numbers of positives needed are based on the product of total positives needed (column R) and the % of all positives from that modality (columns AB-AK). This has the problem that you will have to update the % coming from each modality (columns AB-AK) every time the separately targeted modalities are updated (PMTCT, VMMC, index, and TB) so that the modalities all add up to 100%.

It would be better if the calculations were driven off of the Remaining HTS_TST_POS to identify (column Q) and the distributions (columns AB-AK) that are entered refer to the proportion of remaining modalities that come from each column.

jacksonsj commented 5 years ago

@CharlottePCOMOZ - Would it be helpful if the Other PITC column functioned as a "catch-all", with a function that fills in the difference between the sum of all other modalities and 100%?

This would only work if the sum of all other modalities is <100% (can't have negative shares in a modality to bring back down to 100%), but so long as you can get everything else down to under 100%, this would take care of the rest.

The other feature we're exploring is a table on the Summary tab where you could initially set modality shares by Prioritization type and Age/Sex (similar to TX_CURR growth rates), and then make finer changes in HTS tab later.

Would those two changes address the concern here?

WilliamShiflett commented 5 years ago

Issue moved to pepfar-datim/COP-19-Target-Setting #240 via ZenHub

WilliamShiflett commented 5 years ago

Issue moved to pepfar-datim/COP-19-Target-Setting #241 via ZenHub