X
Why wait? - Print EID and Viral load results now!
EID and Viral Load results can be printed real time from the Viral load and EID dashboards by the Electronic results printing (e-RD).
  • Advantages/Benefits
      • Instant access to completed results
      Continuous access to old results
      Ability to store electronic copy of results
  • What you need to print
      • Computer
      Printer
      Paper, A4
      Envelopes
      Internet Access
  • How to enroll for e-RD
      • We call upon all facilities with capacity to print to contact our customer care on 0800221100 or send email to customercare@cphl.go.ug for enrollment.
<% data_date %>
FILTERS:
<% filter_duration[0] |d_format %> - <% filter_duration[filter_duration.length-1] | d_format %>   <% filtered_age_range_instance.from_age %> - <% filtered_age_range_instance.to_age %> (months) x <% g_name %> (g) <% r_name %> (r) <% hub_name %> (h) <% d_name %> (d) <% cl_name %> (a) <% pcr_name %> (p) <% mother_prophylaxis_name %> (mp) reset all
processing


  DISTRICTS     FACILITIES   
District Total Tests Total 1st PCR Positive 1st PCR Total 2nd PCR Positive 2nd PCR Total 3rd PCR Positive 3rd PCR Total R1 Positive R1 Total R2 Positive R2 Total R3 Positive R3 % of Positives in 1st PCR
<% districts_lables[d._id] %> <% d.total_tests|number %> <% d.pcr_one|number %> <% d.pcr_one_hiv_positive_infants|number %> <% d.pcr_two|number %> <% d.pcr_two_hiv_positive_infants|number %> <% d.pcr_three|number %> <% d.pcr_three_hiv_positive_infants|number %> <% d.pcr_R1|number %> <% d.pcr_hiv_positive_infants_R1|number %> <% d.pcr_R2|number %> <% d.pcr_hiv_positive_infants_R2|number %> <% d.pcr_R3|number %> <% d.pcr_hiv_positive_infants_R3|number %> <% (d.pcr_one_hiv_positive_infants > 0? (d.pcr_one_hiv_positive_infants/d.pcr_one)*100:0)|number:1 %>%
Facility Total Tests Total 1st PCR Positive 1st PCR Total 2nd PCR Positive 2nd PCR Total 3rd PCR Positive 3rd PCR Total R1 Positive R1 Total R2 Positive R2 Total R3 Positive R3 % of Positives in 1st PCR
<% facilities_lables[f._id] %> <% f.total_tests|number %> <% f.pcr_one|number %> <% f.pcr_one_hiv_positive_infants|number %> <% f.pcr_two|number %> <% f.pcr_two_hiv_positive_infants|number %> <% f.pcr_three|number %> <% f.pcr_three_hiv_positive_infants|number %> <% f.pcr_R1|number %> <% f.pcr_hiv_positive_infants_R1|number %> <% f.pcr_R2|number %> <% f.pcr_hiv_positive_infants_R2|number %> <% f.pcr_R3|number %> <% f.pcr_hiv_positive_infants_R3|number %> <% (f.pcr_one_hiv_positive_infants > 0? (f.pcr_one_hiv_positive_infants/f.pcr_one)*100:0)|number:1 %>%




  DISTRICTS     FACILITIES   
District Absolute Positives Total Tests
<% districts_lables[d._id] %> <% d.hiv_positive_infants|number %> <% d.total_tests|number %>
Facility Absolute Positives Total Tests
<% facilities_lables[f._id]%> <% f.hiv_positive_infants|number %> <% f.total_tests|number %>




  DISTRICTS     FACILITIES   
District Positivity Rate Absolute Positives Total Tests
<% districts_lables[d._id] %> <% ((d.hiv_positive_infants/d.total_tests)*100)|number:1 %>% <% d.hiv_positive_infants|number %> <% d.total_tests|number %>
Facility Positivity Rate Absolute Positives Total Tests
<% facilities_lables[f._id] %> <% ((f.hiv_positive_infants/f.total_tests)*100)|number:1 %>% <% f.hiv_positive_infants|number %> <% f.total_tests|number %>






Facility Hub Implementing Partner # Pending Results Last Printed on Oldest Result Pending Printing(in Days)
<% f.facility %> <% f.hub %> <% f.ip %> <%f.pending_results%> <%f.last_printed_on %> <% generateDaysDifference(f.oldest_result_pending_printing) %>

<% pcr_one|number %>
TOTAL 1ST PCR
<% pcr_two|number %>
TOTAL 2ND PCR
<% pcr_three|number %>
TOTAL 3RD PCR
<% repeat_one|number %>
TOTAL R1
<% repeat_two|number %>
TOTAL R2
<% repeat_three|number %>
TOTAL R3
<% initiated|number %>
TOTAL ART INITIATED CHILDREN