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National Panel Survey 2019-2020

Uganda, 2019 - 2020
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Reference ID
UGA_2019_UNPS_v03_M
Producer(s)
Uganda Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Sep 07, 2022
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86. Comments (s4hq86)

Data file: CSEC4H_1

Overview

Valid: 1752
Invalid: 0
Type: Discrete
Width: 84
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
##N/A## 554
31.6%
0 2
0.1%
1 DELIVERY NOT RECORDED IN THE REGISTER 1
0.1%
Both the HIMS and the registers missing 1
0.1%
DELIVERIES ARE NOT CONDUCTED IN THIS COMMUNITY. 1
0.1%
DELIVERIES ARE NOT CONDUCTED IN THIS HEALTH CENTRE. 1
0.1%
DOUBLE COUNTING 1
0.1%
DURING THIS MONTH THE FACILITY HAD NO DELIVERIES 1
0.1%
Delay of tally sheets by vaccinaters 1
0.1%
FACILITY DOES NOT DO DELIVERIES 1
0.1%
GOOD 34
1.9%
GOOD RECORDS 2
0.1%
Good 25
1.4%
HIMS and the registers missing 1
0.1%
HIMS missing 1
0.1%
HMIS and register missing 3
0.2%
HMIS and registers missing 1
0.1%
HMIS missing 1
0.1%
HMIS register missing 1
0.1%
MALARIA WAS HIGH 1
0.1%
MATCHING 40
2.3%
MISSING RECORDS 3
0.2%
Matching 47
2.7%
Miss tallying 1
0.1%
Missing tally sheets 1
0.1%
Missing OPD REGISTER 2
0.1%
Missing records 13
0.7%
Missing register 4
0.2%
Missing tally sheets 7
0.4%
Missing tally sheets during report making 3
0.2%
Missing tally sheets during report making. 1
0.1%
Missing tally sheets 4
0.2%
NO 1
0.1%
NO DELIVERIES 9
0.5%
NO DELIVERIES CARRIED OUT BY THE FACILITY 3
0.2%
NO DELIVERIES IN THIS HEALTH CENTRE II 1
0.1%
NO MATERNITY SERVICES AT THE MOMENT 1
0.1%
NO MISMATCH 328
18.7%
NO RECORDS FOUND. 1
0.1%
NO VARIATION 14
0.8%
NOBE 1
0.1%
NONE 198
11.3%
No deliveries in this unit 1
0.1%
No deliveries in this month 2
0.1%
No deliveries in this unit 1
0.1%
No mismatch 129
7.4%
None 2
0.1%
OK 1
0.1%
OPD TOO LOW DUE TO LOW MALARIA CASES IN THE AREA 1
0.1%
POOR NUMBERING 1
0.1%
Page removed from HMIS 105 form 1
0.1%
Pages of deliveries and immunization were plucked off in the HIMS 1
0.1%
Part of the register torn 1
0.1%
Poor serialization 1
0.1%
Poor tally 1
0.1%
Poor tallying 1
0.1%
RECORDS MISSING IN THE HEALTH FACILITY. 1
0.1%
Register for children were missing OPD 1
0.1%
Registers for under 5 missing 1
0.1%
Registers missing 2
0.1%
SKIP DURING TYPING. 1
0.1%
SKIPPING ERROR DURING TYPING 1
0.1%
Some OPD Patients seen in maternity and not reflected in OPD registers 1
0.1%
Some of the tally sheets were missing 1
0.1%
Some registers missing 3
0.2%
TALLYING 2
0.1%
THE DOESN'T DO DELIVERIES 1
0.1%
THE FACILITY DIDN'T DO IMMUNIZATION BECAUSE THERE WAS ONLY ONE STAFF 2
0.1%
THE FACILITY DOESN'T OFFER DELIVERIES 5
0.3%
THE FIGURES WERE MISS REPORTED 1
0.1%
THE INFORMATION WAS NOT RECORDED 1
0.1%
THERE ARE NO DELIVERIES IN THIS HEALTH CENTRE II 1
0.1%
THERE IS A MISMATCH 3
0.2%
THERE WAS MISMATCH DURING TALLYING 2
0.1%
THERE WERE NO DELIVERIES IN THIS HEALTH CENTRE II IN JUNE 1
0.1%
THERE WERE NO VACCINES AT THE FACILITY 1
0.1%
THEY DON'T DO DELIVERIES IN THIS HEALTH CENTRE 2
0.1%
THEY HADN'T YET STARTED DELIVERIES 2
0.1%
THIS UNIT HAS NO DELIVERIES 1
0.1%
Tally Sheets missing 2
0.1%
Tally Sheets of static missing 1
0.1%
Tallying 2
0.1%
Tallying sheets for out reach missing 1
0.1%
The facility doesn't do deliveries 2
0.1%
They don't do deliveries 2
0.1%
They had included admissions not deliveries during report making 1
0.1%
WRONG 1
0.1%
WRONG NUMBERING 6
0.3%
WRONG TALLYING 2
0.1%
WRONG NUMBERING 2
0.1%
WRONG RECORDING BY THE RECORDS OFFICER 1
0.1%
WRONG RECORDING BY THE RECORDS OFFICER. 2
0.1%
WRONG REPORTING/ TALLYING, THE RESULTS IN THE REGISTER ARE ACCURATE. 2
0.1%
Wrong numbering 4
0.2%
Wrong numbering in register 1
0.1%
Wrong recording in the register 1
0.1%
Wrong tallying 2
0.1%
Wrong numbering 2
0.1%
good 6
0.3%
matching 70
4%
missing tally sheets 6
0.3%
missing tally sheets when report is being made 1
0.1%
no deliveries in this unit 2
0.1%
no variation 6
0.3%
none 73
4.2%
poor tallying 23
1.3%
registers missing 3
0.2%
some people are seen in maternity and not reflected in OPD registers 1
0.1%
some registers missing 2
0.1%
wrong numbering 15
0.9%
wrong numbering but the gap is not so big since they attend to many patients 1
0.1%
wrong numbering but the gap is very small 1
0.1%
wrong recording 1
0.1%
wrong recordings 1
0.1%
wrong reporting 1
0.1%
wrong tallying 4
0.2%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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