Closed jb3436 closed 4 years ago
[ ] DREAMS: make sure values for PMTCT_STAT targets in dreams dossier are correct.
[ ] CC Dossiers: Add a note for what the age/sex charts are visualizing - to QC the HTS TST POS visual you have to filter to 15+ and take out N/A facilities need to add a note to all visuals that do this iin the CC dossiers so it is easily replicable and transparent what we are viewing
[ ] HSS Dossier:
[x] PreP Dossier - "Pg 3: Prep Use Segmented by..."Suggestion - remove KP_PREV from the chart on the right and put it with the other "context setting indicators/denominators on the left - so the left chart will show the breakdown by HTS and KP, then the chart on the right, we will be able to see the distribution in PrEP CURR and NEW, which are obscured by the large volumne of KP PREV at the moment. (Janice was able to do this already!)
Genie Related Comment - Not Pano related - will move to DAQ
Need to make sure they are 100% for the fast follow
Email Subject: FYI.. this is just from the overview page in the single OU CC Clinical Cascade:
1) Overview:
A) For the top left graphic the results are missing unknown age and aggregated age for HTS_TST (likely for all indicators) but its represent as HTS_TST – N. Why not just use the Total Numerator disag here?
B) Yield in index testing proxy cascade appears to be for all modalities not just for index testing
2) Overview cascade, totals sum Fine/Coarse/Retired age bands together. Technically correct, but confusing user interface, suggest N/A be used instead (often used in MSD since its the Total Numerator if you exclude KP data)
2) Disag completeness: Highlighted previously
Now that the org level selectors work well and we have Partner IM filters on each dossier, can we deprecate the "agency and Geography" versions of the clinical cascade?
I think we should keep the below three and refine them and deprecate the rest:
Deprecate
Rationale:
Data Tables in General Age and Sex Disaggregates Table Secifically Single OU pepfar-datim/Analytics#2205 Global pepfar-datim/Analytics#2206
Cross Cutting Issues
FY19Q3 Clean
FY19Q4