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MINISTRY OF HEALTH
RESOURCE CENTRE
QUARTERLY REPORT
JULY – SEPTEMBER 2011
Q1 Financial year 2011/12
Compiled: 29th
November 2011
Ministry of Health Resource Centre
2
Table of contents
1.0 Introduction .............................................................................................................................. 3
2.0 HMIS Reporting ......................................................................................................................... 4
2.1 Completeness ........................................................................................................................ 4
2.2 Timeliness .............................................................................................................................. 7
3.0 Section Analysis ......................................................................................................................... 8
3.1 Maternal and Perinatal conditions........................................................................................ 8
3.2 Antenatal ............................................................................................................................... 8
3.3 Maternity ............................................................................................................................. 11
3.4 HIV/AIDS Counseling and Testing ........................................................................................ 13
3.5 Essential Drugs, Vaccines and Contraceptives .................................................................... 14
4.0 Quarterly League Table ........................................................................................................... 18
4.1 Sorted by district ................................................................................................................. 18
APPENDIX: ..................................................................................................................................... 25
Ministry of Health Resource Centre
3
1.0 Introduction
The Health Management Information System facilitates data collection during health service
delivery which is critical for tracking performance and trend analysis. The HMIS has the
following categories of information: data on individual clients, information on curative services,
information on preventive services, resource management e.g. inventories (staff list, health
facility, equipment), logistics and commodities, finance / user fees and Village Health Teams
(Integrated Community Case Management).
The Ministry of Health Resource Centre is responsible for the collection, processing, analysis,
and dissemination of national health data collected through the Health Management
Information System (HMIS). The MoH Resource Centre is ensuring that quality and timely data
is collected through the revised HMIS tools to facilitate decision making, policy formulation as
well as accountability. The roll out and utilization of the revised HMIS tools by all the health
facilities nationwide started in July 2011 and the process is still continuing. The Resource
Centre has provided support to the district health teams and the health facilities throughout
this reporting period to appreciate and correctly utilize these HMIS tools through trainings and
support supervisions.
This report gives an account of the reporting from the health facilities across the country for the
period July – September 2011. The activities from the functioning health units are reported
using HMIS 105 and 108 for Outpatient and Inpatient, respectively to the districts. The district
then aggregates the health unit reports within their respective districts into HMIS 123 and HMIS
124 for Outpatient and Inpatient data, respectively.
This report compares performance for the various indicators with previous quarterly
performance. Also provided is the Quarterly District League Table for Q1 of FY2011/12
Information in this report has been generated to reflect trends of certain diseases/ conditions
in specific thematic areas like Malaria, Antenatal, Maternity, HIV/AIDS counseling and testing
Maternal and perinatal conditions and Essential drugs, vaccines and contraceptives.
In order for us to comprehend and appreciate the reporting status from the different districts in
terms of completeness and timeliness, graphical presentations have been incorporated.
The Resource Centre however still has a challenge of limited personnel who are dedicated to
data entry, cleaning and supporting in the basic analysis. This has contributed to a backlog in
the databank for reports to be entered in the electronic system especially for Inpatient data.
Ministry of Health Resource Centre
4
2.0 HMIS Reporting
2.1 Completeness
Table 1 below shows the extent to which the HMIS reports are submitted and captured in MoH-
RC from the various districts across the country. The total number of districts as of Q1
FY2011/12 is 112. All these districts are supposed to receive HMIS 105 and HMIS 108 reports
from the various health units and aggregate them into HMIS 123 and HMIS 124, respectively.
The HMIS 123 and HMIS 124 reports constitute information collected from the Outpatient and
Inpatient sections of the health units, respectively. It can be observed from Table 1 below and
Figure 1 below that Inpatient completeness in reporting is low as compared to Outpatient
completeness in reporting with an average of 67% for inpatient and 87% for outpatient for this
reporting period
Table 1: Reporting Trends 2010/2011
Reporting Trends 2010/2011
Q1
2010/11
Q2
2010/11
Q3
2010/11
Q4
2010/11
Q1
2011/12
% OPD Completeness 90 86 96 94 85
% IPD Completeness 74 62 87 86 80
% of HFs Reporting OPD 94 94 92 94 91
% of HFs Reporting IPD 75 86 83 82 73
Ministry of Health Resource Centre
5
Figure 1: Reporting Trends FY2010/2011 and Q1 FY2011/12
74%
62%
86%80%
94% 94% 94%91%
86%83%
73%
92%
0%
20%
40%
60%
80%
100%
120%
Q1
2010/11
Q2
2010/11
Q3
2010/11
Q4
2010/11
Q1
2011/12
Quarters
Pe
rce
nta
ge
% OPD Completeness % IPD Completeness % of HFs Reporting
OPD
% of HFs Reporting
IPD
Furthermore on the results above, the proportion of health units reporting for Outpatient
(average=93%) is consistently higher that for Inpatient (average = 80%) as seen in Fig 1 above.
Ministry of Health Resource Centre
6
Figure 2: Outpatient Reporting per month
Figure 3: Inpatient Reporting per month
Ministry of Health Resource Centre
7
Figure 2 and 3 above show the trends in number of reports for Outpatient and Inpatient
respectively by month from July 2010 to September 2011 the end of this reporting period.
2.2 Timeliness
The timeliness of reporting in HMIS is derived from the reports received and compared to the
date at which the report was submitted and received at MoH-RC through any means (hand
copy, email/electronic, faxed/scanned, etc...) and the expected date for these reports to be
submitted that is 28th
of the following month for HMIS 123 and HMIS 124. The computation is
independent of the districts who never submitted reports but dependent on reports submitted.
Figure 4: Outpatient & Inpatient Reporting Timeliness FY 2010/11 and Q1 FY2011/12
All efforts have been undertaken by the MoH-RC team to encourage the District Heath Teams
through the DHOs and district biostatisticians to compile and submit these reports in a timely
manner.
From Figure 4 above, it can be seen that for Inpatient and Outpatient timelines, the trend
evolves almost similarly. This is expected because in most cases the district
biostatisticians/HMIS focal persons compile and submit these two reports together. It’s only in
a few cases where report submission for HMIS 123 and 124 are different in time. Furthermore,
Ministry of Health Resource Centre
8
for reports that have been submitted over time per month the trend shows an improvement in
timeliness reporting.
3.0 Section Analysis
3.1 Maternal and Perinatal conditions
In this section we present a view of the total cases reported from Q1-2010/11 to the current
quarter Q1-2011/12 for abortion and Malaria in pregnancy. There is decline in the number of
abortions reported from the previous quarter 67883 to the current quarter 51235. The malaria
cases in pregnancy have also reduced from an average of 13500 to 9880 in the current
reporting period.
Figure 4: Trends of Malaria in Pregnancy and abortion for the periods given below
3.2 Antenatal
This section present trends for the quarters below for ANC re-attendance, New ANC attendance
and postnatal visits. Figure 5 below shows a relatively stable trend in reporting for New ANC
attendance .There has been a reduction in Q1-2011/12 for new ANC attendance as well for the
ANC re-attendance (4th
visit). During this reporting period, the postnatal visits have also
reduced as compared to the 4 previous quarter national wide.
Ministry of Health Resource Centre
9
Figure 5: Trends in Antenatal ANC Attendance for the period 2010/11
Presented in Figure 6 below are the trends in the ANC referral from units and referrals to unit.
It can be envisaged that the total referrals from units have been remained stable. A trend line
inserted indicates a stable horizontal trend. On the other hand, the referrals to the units have
had an increasing trend though not significant.
Figure 6: Trends in Antenatal Referrals to and from unit for the period 2010/11
Ministry of Health Resource Centre
10
Figure 7 below shows the distribution of the IPT doses (IPT 1 and IPT 2) administered during the
antenatal sessions over the reported quarters. For both the 1st
and 2nd
IPT dose, there has been
a stable trend of the doses administered over time.
Figure 7: Distribution of the IPT doses over the reported quarters
Ministry of Health Resource Centre
11
3.3 Maternity
Maternity section of the HMIS 123 (OPD) has variables which are used to generate maternal
health indicators as specified in Table 2 below. This report presents the reported cases for each
variable over the different quarters. Furthermore, Figure 8 below shows selected maternity
variables (Deliveries HIV positive in unit, Babies born to HIV positive mothers given ARVs, and
Deliveries HIV positive who swallowed ARVs) over the quarters. Ideally, babies born to HIV
positive mothers should be followed up, monitored and given ARVs to prevent HIV
transmission. On average, 77% of the babies born to HIV positive mothers were given ARVs.
Additionally, an average of 89% of the HIV positive deliveries (mothers) swallowed ARVs.
Ministry of Health Resource Centre
12
Table 2: Cases of maternity indicators reported over the quarters specified
Diagnosis
Q1
2010/11
Q2
2010/11
Q3
2010/11
Q4
2010/11
Q1
2011/12
Admissions 176068 166337 166063 76019 18503
Babies (born to HIV positive mothers) given ARVs 5766 4783 5761 5554 5159
Babies born with low birth weight (<2.5kg) 7755 5509 7909 8630 5471
Birth Asphyxia 2915 2360 2039 2060 1497
Deliveries by private practitioners 1818 1812 1641 2236 2054
Deliveries HIV positive in unit 6825 6806 7430 7094 6712
Deliveries HIV positive who swallowed ARVs 6974 5574 6475 6310 5807
Deliveries in unit 138543 135437 137736 135927 113160
Deliveries with TBA 5811 5356 5468 4975 3702
Live birth to HIV positive mothers 7296 5532 7131 7622 5763
Live births in unit 129118 128647 128793 127758 104348
Maternal deaths 273 368 255 285 297
Referrals from unit 13452 9888 10364 10611 9456
Referrals to unit 11078 8853 9546 9480 8743
Still births in unit 3820 3083 3256 3027 2306
Ministry of Health Resource Centre
13
Figure 8: Selected maternity variables reported over the quarters
3.4 HIV/AIDS Counseling and Testing
The HMIS collects information on HIV/AIDS counseling and testing (HCT) aggregated by gender
and age. Figure 9 below shows the summary from the districts within this reporting period for
HIV tested in laboratory, those found HIV positive (Prevalence computed), and the individuals
found positive who started on Cotrimoxazole prophylaxis (CTX). National wide there has been
an increase in individuals who were offered a test in laboratory. This also can represent the
individuals who are seeking HCT on average. All Individuals who are found HIV positive are
supposed to be started on CTX prophylaxis and from the graph below an average proportion
87% HIV positive are started on CTX prophylaxis. The HIV prevalence in OPD attendance over
the quarters has an average of 7.5% slightly higher than the national average of 6.0%.
Ministry of Health Resource Centre
14
Figure 9: Individuals Tested from laboratory, those found HIV positive and those given CTX
prophylaxis
3.5 Essential Drugs, Vaccines and Contraceptives
The HMIS collects information regarding the number of health units for which the drugs,
vaccines or contraceptives (aligned to the HSSIP indicators) were out of stock at any one time
during the month preceding the month of reporting. Presented below is a trend of the quarterly
summary of the proportion of health facilities with no stock out for a selected HSSP tracer drug
items (First line drug for malaria, Measles vaccine, Fansidar, ORS sachets, Cotrimoxazole tabs
and Depo-Provera). The Objective of this indicator is to ensure “No Stockouts” of essential
medicines at all times in order to deliver the Uganda Minimum Healthcare Package. From Table
3 and Figure 10 below, it can be seen that there has been a substantial improvement of
reported no stock out in this reporting period as compared to the previous for essentially all the
items.
Ministry of Health Resource Centre
15
Table 3: Health Facilities with “No stock-out” of any of the tracer medicines FY 2010/11 and Q1
FY2011/12
Tracer Drugs
Percentage of HF with “NO STOCKOUT” by Quarter
Q1
2010/11
Q2
2010/11
Q3
2010/11
Q4
2010/11
Q1
2011/12
First line drug for
Malaria 84% 88% 87% 89% 93%
Measles vaccine 92% 93% 93% 94% 96%
Fansidar 86% 89% 89% 91% 93%
ORS Sachets 90% 91% 91% 92% 95%
Cotrimoxazole 85% 85% 80% 86% 92%
Depo-Provera 88% 88% 88% 92% 96%
Figure 10: Trend of percentage of Health facilities with no stock out over the quarter below
Additionally presented below is a table that shows the top 10 districts that reported more
health facilities with stock out for the above indicator items. As can be seen in Table 4 below,
the most recurrent districts in reporting health facilities with stock outs are GULU, MASINDI,
NAKAPIRIPIRIT, SIRONKO and SOROTI. MOROTO district only reported the highest and once in stock out
of Fansidar drugs during this reporting period.
Ministry of Health Resource Centre
16
Table 4: Top Ten districts reporting Stock out Health facilities for each indicator items
Cotrimoxazole Tabs Depo-Provera Fansidar
Rank District No. HFs
Stock out
Rank District No. HFs
Stock out
Rank District No. HFs
Stock out
1 GULU 50 1 GULU 50 1 MOROTO 100
2 MASINDI 49 2 MASINDI 47 2 GULU 50
3 NAKAPIRIPIRIT 40 3 NAKAPIRIPIRIT 40 3 MASINDI 47
4 SIRONKO 38 4 SIRONKO 36 4 MITYANA 45
5 KAMWENGE 35 5 SOROTI 32 5 TORORO 42
6 SOROTI 33 6 NAMAYINGO 21 6 NAKAPIRIPIRIT 40
7 TORORO 26 7 KAYUNGA 18 7 SOROTI 40
8 ISINGIRO 26 8 MITYANA 13 8 SIRONKO 34
9 KAYUNGA 25 9 MOYO 10 9 BUGIRI 33
10 BUNDIBUGYO 20 10 JINJA 9 10 MAYUGE 21
First Line drug for Malaria Measles Vaccine ORS Sachets
Rank District No. HFs
Stock out
Rank District No. HFs
Stock out
Rank District No. HFs
Stock out
1 GULU 50 1 GULU 49 1 GULU 50
2 MASINDI 48 2 MASINDI 48 2 MASINDI 47
3 NAKAPIRIPIRIT 40 3 NAKAPIRIPIRIT 40 3 NAKAPIRIPIRIT 40
4 SIRONKO 39 4 SOROTI 33 4 KAMWENGE 37
5 BUGIRI 39 5 SIRONKO 30 5 SOROTI 35
6 KAABONG 33 6 BUGIRI 30 6 SIRONKO 30
7 SOROTI 33 7 KAYUNGA 18 7 BUGIRI 28
8 KAYUNGA 22 8 BUNDIBUGYO 12 8 BUNDIBUGYO 25
9 MOYO 19 9 JINJA 10 9 KAYUNGA 19
10 NAKASONGOLA 17 10 MAYUGE 7 10 MAYUGE 9
Ministry of Health Resource Centre
17
4.0 Quarterly League Table
4.1 Sorted by Rank
Q1 2011/2012 LEAGUE TABLE D
IST
RIC
T
Po
pu
lati
on
Est
ima
te
Nu
mb
er
of
He
alt
h F
aci
lity
Re
po
rts
OP
D H
ea
lth
Un
it R
ep
ort
ing
OP
D R
ep
ort
ing
Tim
eli
ne
ss
DP
T3
fo
r <
1y
r o
n S
che
du
le
AN
C R
e-a
tte
nd
an
ce 4
th v
isit
% D
eli
ve
rie
s in
Go
vt
an
d N
GO
he
alt
h
faci
liti
es
% P
reg
na
nt
wo
me
n r
ece
ivin
g 2
nd
do
se
Fa
nsi
da
r fo
r IP
T
% P
lan
ne
d O
utr
ea
ch A
ctiv
itie
s
Co
nd
uct
ed
% P
reg
na
nt
Wo
me
n a
tte
nd
ing
An
ten
ata
l C
lin
ic.
(An
ten
ata
l C
ov
era
ge
)
% M
ala
ria
po
siti
vit
y r
ate
fo
r ch
ild
ren
un
de
r 5
ye
ars
TO
TA
L
RA
NK
ING
%
10
%
10
%
15 12.
5 %
12.
5 %
10
% 10
% 10
% 10
Sco
re
Sco
re
Sco
re
%
Sco
re
Sco
re
Sco
re
Sco
re
Sco
re
Sco
re
KALANGALA 58100 26 79 8
10
0 10
16
2 15
4
8 6 86 11 78 8 74 7
18
3 10 80 8 83 1
ISINGIRO 396700
16
0 90 9 67 7
98 15
8
5 11 46 6 56 6 80 8
12
5 10 47 5 75 2
BULIISA 76900 29 97 10 67 7
13
1 15
4
8 6 37 5 77 8 87 9
13
2 10 55 5 74 3
SERERE 128700 59 94 9 67 7
14
3 15
3
3 4 83 10
12
8 10 31 3
23
6 10 47 5 73 4
ZOMBO 208600 57 10 10 10 10 93 14 4 5 49 6 63 6 93 9 86 9 35 4 73 5
Ministry of Health Resource Centre
19
0 0 2
RUKUNGIRI 311600
22
7 99 10 33 3
98 15
7
0 9 71 9 64 6 75 8
23
9 10 32 3 73 6
LYANTONDE 77100 84
10
0 10 0 0
15
5 15
9
6 12 82 10
10
8 10 0 0
24
2 10 49 5 72 7
MPIGI 209400 83
10
0 10 67 7
96 14
3
4 4 44 6 71 7 90 9
13
0 10 43 4 71 8
MANAFWA 343200 68 99 10
10
0 10
14
5 15
3
1 4
15
1 13 42 4 0 0
14
8 10 55 6 71 9
MUKONO 522100
12
9
10
0 10
10
0 10
91 14
2
8 4 51 6 34 3 76 8
10
2 10 54 5 70 10
DOKOLO 171000 39
10
0 10
10
0 10
11
4 15
4
0 5 26 3 58 6 77 8 72 7 55 6 69 11
BUTALEJA 206200 72
10
0 10 33 3
10
3 15
1
8 2 54 7 80 8 76 8
11
6 10 64 6 69 12
KISORO 247300
10
5 95 10 67 7
11
0 15
3
9 5 72 9 32 3 88 9
14
1 10 21 2 69 13
BUIKWE 407100
12
1
10
0 10
10
0 10
83 13
4
0 5 40 5 48 5 62 6
10
6 10 54 5 69 14
KYENJOJO 356200 80 99 10 67 7
11
4 15
3
7 5 26 3 56 6 91 9
11
2 10 43 4 68 15
OTUKE 80600 30
10
0 10 67 7
13
0 15
2
2 3 28 4 58 6 81 8 90 9 66 7 68 16
MITYANA 301800
15
5 94 9 33 3
99 15
3
0 4 56 7 50 5 81 8 97 10 61 6 67 17
BUSHENYI 241500 96 87 9 33 3
10
7 15
4
3 5 72 9 37 4 99 10
10
3 10 23 2 67 18
MBARARA 427200
19
2 96 10 33 3
11
0 15
9
1 11 77 10 53 5 0 0
14
0 10 28 3 67 19
KYEGEGWA 148500 42
10
0 10
10
0 10
12
1 15
4
4 5 43 5 61 6 0 0
12
7 10 42 4 66 20
NAKAPIRIPIRIT 143800 51
10
0 10 67 7
10
3 15
4
2 5 14 2 52 5 72 7 82 8 63 6 66 21
Ministry of Health Resource Centre
20
MASAKA 247000 78 87 9 67 7
84 13
3
1 4 59 7 37 4 82 8 86 9 58 6 65 22
SIRONKO 227800 87
10
0 10 33 3
12
2 15
3
8 5 39 5 48 5 73 7
12
7 10 48 5 65 23
LAMWO 132300 60
10
0 10 67 7
98 15
2
3 3 48 6 60 6 77 8 84 8 15 1 64 24
NWOYA 51100 31 97 10 33 3
12
7 15
4
1 5 52 7 39 4 61 6
10
8 10 32 3 63 25
RUBIRIZI 119500 51
10
0 10 67 7
14
1 15
2
9 4 27 3 32 3 90 9 95 9 25 2 63 26
WAKISO
126090
0
29
3 96 10 67 7
10
5 15
3
2 4 35 4 38 4 76 8 79 8 36 4 63 27
OYAM 353700 72
10
0 10 67 7
79 12
3
5 4 41 5 63 6 70 7 90 9 23 2 63 28
KABAROLE 403200
16
1 96 10 67 7
13
8 15
4
3 5 70 9 36 4 0 0
11
5 10 34 3 62 29
MBALE 416600
11
7 98 10 33 3
10
1 15
3
4 4 27 3 46 5 77 8 84 8 43 4 61 30
PALLISA 337700 83 95 10 67 7
66 10
1
8 2 51 6 59 6 78 8 82 8 38 4 60 31
NAKASONGOL
A 150000 88 89 9 33 3
83 12
4
3 5 37 5 64 6 41 4
10
5 10 51 5 60 32
TORORO 463600
18
6
10
0 10
10
0 10
71 11
2
0 3 23 3 36 4 88 9 63 6 47 5 59 33
SEMBABULE 210900 69
10
0 10 33 3
10
3 15
2
0 3 17 2 33 3 77 8 90 9 62 6 59 34
BUDAKA 169300 49 86 9 67 7
68 10
2
7 3 33 4 48 5 74 7 79 8 55 6 59 35
AMOLATAR 120400 23
10
0 10 33 3
13
3 15
1
2 1 28 3 45 5 66 7
11
0 10 41 4 59 36
GOMBA 148700 54 95 9 67 7
10
0 15
1
2 2 17 2 28 3
10
3 10 62 6 46 5 59 37
MOROTO 121300 33 92 9 33 3
83 12
3
1 4 14 2 46 5 92 9 83 8 53 5 58 38
Ministry of Health Resource Centre
21
NAMUTUMBA 207300
10
2
10
0 10 0 0
85 13
1
5 2 30 4 43 4
10
0 10 90 9 62 6 58 39
IBANDA 242800 77 63 6 33 3
96 14
2
6 3 41 5 27 3 85 8
10
4 10 40 4 58 40
MASINDI 316800
10
8 97 10 33 3
60 9
4
2 5 29 4 45 4 83 8 90 9 47 5 57 41
KAMWENGE 317000 93 97 10 0 0
11
0 15
3
2 4 20 2 41 4 64 6 94 9 62 6 57 42
KAYUNGA 344600 72
10
0 10 67 7
66 10
1
7 2 27 3 36 4 84 8 78 8 52 5 57 43
APAC 326300 90
10
0 10 33 3
89 13
2
2 3 35 4 49 5 67 7 87 9 27 3 57 44
PADER 210100 78 96 10 67 7
88 13
2
0 3 16 2 38 4 85 9 75 8 30 3 57 45
KOLE 216900 21 95 10 67 7
56 8
1
9 2 19 2
23
3 10 79 8 55 5 41 4 57 46
SOROTI 426400 93 89 9 67 7
58 9
2
0 3 57 7 54 5 55 5 72 7 47 5 57 47
KABALE 490200
21
0 98 10 67 7
71 11
2
2 3 29 4 48 5 87 9 76 8 17 2 56 48
MAYUGE 429300
11
4 93 9 0 0
91 14
1
4 2 30 4 39 4 79 8
10
0 10 61 6 56 49
HOIMA 499100
21
0
10
0 10 0 0
79 12
2
7 3 40 5 55 6 55 5
10
4 10 50 5 56 50
BUHWEJU 97400 37 86 9 67 7
82 12
1
8 2 16 2 27 3
10
0 10
10
9 10 14 1 56 51
BUVUMA 52400 20 91 9 67 7
66 10
2
4 3 14 2 45 5 57 6
11
6 10 49 5 56 52
KANUNGU 241800
12
1 88 9 33 3
62 9
3
8 5 38 5 47 5 74 7 84 8 36 4 55 53
KAPCHORWA 104600 49 98 10 33 3
85 13
2
4 3 42 5 37 4 72 7 85 9 14 1 55 54
JINJA 475700
19
6 95 10 33 3
69 10
4
3 5 47 6 48 5 0 0
10
7 10 51 5 54 55
Ministry of Health Resource Centre
22
KIBAALE 613300
13
5 83 8
10
0 10
78 12
1
5 2 19 2 40 4 31 3 92 9 28 3 53 56
KALUNGU 173800 56 75 7 33 3
11
4 15
2
1 3 20 2 25 2 90 9 45 5 63 6 53 57
IGANGA 466200
10
3 99 10 33 3
66 10
1
6 2 34 4 28 3 80 8 74 7 57 6 53 58
NAPAK 176500 36
10
0 10 0 0
11
7 15
3
4 4 20 3 32 3 94 9 51 5 34 3 53 59
NTUNGAMO 458000 82 98 10 67 7
60 9
2
0 3 24 3 28 3 96 10 70 7 24 2 53 60
LWENGO 262000 49 98 10 67 7
62 9
1
1 1 11 1 22 2 86 9 76 8 56 6 53 61
BUDUDA 167000 42 93 9 33 3
16
2 15
3
6 5 36 5 41 4 0 0 86 9 22 2 52 62
LIRA 377800 47
10
0 10 33 3
72 11
2
2 3 30 4 26 3 62 6 76 8 40 4 51 63
BUGIRI 387800
11
1 86 9 0 0
11
1 15
1
6 2 27 3 36 4 39 4 79 8 65 7 51 64
YUMBE 466400 66
10
0 10
10
0 10
63 9
2
3 3 37 5 40 4 0 0 47 5 49 5 50 65
LUUKA 243200 74 80 8 33 3
10
2 15
8 1 17 2 18 2 67 7 54 5 64 6 50 66
KOTIDO 204600 51
10
0 10 33 3
96 14
2
0 2 29 4 37 4 0 0 66 7 48 5 49 67
RAKAI 466900
27
0 91 9 0 0
70 11
4
0 5 24 3 51 5 0 0
11
4 10 54 5 48 68
ABIM 55200 18
10
0 10 0 0
71 11
2
0 2 16 2 29 3 86 9 64 6 47 5 48 69
KIRUHURA 280200 76 96 10 67 7
78 12
1
9 2 19 2 36 4 0 0 59 6 36 4 46 70
KOBOKO 209600 26
10
0 10 0 0
69 10
1
4 2 19 2 19 2 89 9 49 5 52 5 45 71
BUNDIBUGYO 236500 50 94 9 67 7
65 10
2
5 3 29 4 24 2 0 0 63 6 42 4 45 72
Ministry of Health Resource Centre
23
BUYENDE 248000 39 85 8 0 0
41 6
1
9 2 42 5 33 3 63 6 85 9 31 3 43 73
MOYO 354300
11
4
10
0 10
10
0 10
31 5
1
6 2 22 3 21 2 45 4 25 2 50 5 43 74
KABERAMAIDO 183100 41 98 10 33 3
55 8
1
3 2 27 3 41 4 0 0 61 6 64 6 43 75
KAMULI 468700 98 92 9 0 0
84 13
1
5 2 28 4 33 3 0 0 80 8 44 4 43 76
KWEEN 94600 32
10
0 10 33 3
56 8
1
1 1 7 1 27 3 78 8 44 4 38 4 43 77
AMURU 169300 50 83 8 33 3
57 9
1
6 2 17 2 28 3 63 6 54 5 36 4 42 78
BUKOMANSIM
BI 150900 27 96 10 0 0
45 7
2
9 4 13 2 20 2 88 9 49 5 53 5 42 79
NAMAYINGO 211200 51 88 9 67 7
20 3
1
4 2 12 1 24 2 48 5 59 6 72 7 42 80
KITGUM 254800 39 93 9 0 0
46 7
2
1 3 45 6 32 3 79 8 48 5 12 1 42 81
MUBENDE 566600
11
0 93 9 33 3
60 9
1
8 2 16 2 36 4 0 0 75 7 45 5 42 82
KAMPALA
159780
0
29
6 49 5 33 3
10
3 15
3
9 5 17 2 18 2 0 0 41 4 40 4 40 83
KAABONG 345300 78
10
0 10 67 7
37 6
8 1 4 0 8.9 1 88 9 18 2 47 5 40 84
KATAKWI 163000 42
10
0 10 33 3
45 7
1
5 2 21 3 33 3 0 0 68 7 49 5 40 85
BUSIA 281200 50 93 9 33 3
55 8
1
3 2 26 3 33 3 0 0 62 6 40 4 39 86
AMURIA 344200 68
10
0 10 0 0
41 6
5 1 12 2 34 3 82 8 40 4 46 5 38 87
BUKWO 67500 13
10
0 10 0 0
41 6
9 1 9 1 24 2 79 8 43 4 44 4 38 88
BUKEDEA 171100 10 91 9 0 0 35 5 6 1 15 2 22 2 88 9 30 3 54 5 36 89
Ministry of Health Resource Centre
24
SHEEMA 211400 33
10
0 10 0 0
22 3
1
8 2 17 2 17 2
11
0 10 34 3 33 3 36 90
GULU 374700 68
10
0 10 0 0
26 4
7 1 18 2 17 2 68 7 43 4 41 4 34 91
KASESE 695500 72 85 8 0 0
33 5
1
4 2 14 2 18 2 87 9 38 4 22 2 33 92
NTOROKO 76000 15 83 8 67 7 36 5 9 1 12 1 19 2 0 0 38 4 35 3 32 93
KALIRO 202200 32 64 6 0 0 56 8 8 1 19 2 17 2 0 0 72 7 48 5 32 94
NAKASEKE 178600 21 95 10 33 3 0 0 0 0 0 0 0 0 80 8 0 0 97 10 31 95
KIBUKU 169200 13 87 9 0 0 25 4 4 0 14 2 18 2 60 6 32 3 31 3 29 96
AMUDAT 101100 4
10
0 10 33 3
9.5 1
2 0 3 0 2.7 0 65 7 10 1 20 2 25 97
LUWERO 418000 58 87 9 0 0
29 4
1
1 1 13 2 18 2 0 0 32 3 37 4 25 98
ADJUMANI 331600 30 88 9 0 0 10 2 9 1 6 1 7.5 1 55 5 14 1 20 2 22 99
AGAGO 271700 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
ALEBTONG 211500 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
ARUA 713700 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
BULAMBULI 118900 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
BUTAMBALA 96700 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
KIBOGA 185900 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
KIRYANDONG
O 285300 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
KUMI 233800 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
KYANKWANZI 133700 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
Ministry of Health Resource Centre
25
MITOOMA 188800 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
NEBBI 328600 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
NGORA 144100 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
NYADRI 200700 0 0 0 0 0
0 0
0 0 0 0 0 0 0 0 0 0 0 0 0
10
0
APPENDIX:
A: TIMELINESS PER DISTRICT
Ministry of Health Resource Centre
26
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect. Date for monthly
reports--->
Cod
e 28th Feb 28th Mar
28th
April 28th May 28th June
28th
July
28th
Aug.
28th
Sept.
28th
Oct. % T % C timely late
not
received reports
Abim
57
3 L T T T L L T N N
44
%
78
% 4 3 2 9
Adjumani
50
1 T N T T T T N L N
56
%
67
% 5 1 3 9
Agago T T T T T T L N T
78
%
89
% 7 1 1 9
Alebtong N N N N N N N N N 0% 0% 0 0 9 9
Amolatar
56
4 L T L L T T L L T
44
%
100
% 4 5 0 9
Amudat L T T T T T N N T
67
%
78
% 6 1 2 9
Amuria
56
5 T T T T L L L T N
56
%
89
% 5 3 1 9
AMURU
57
0 T T T T T T T T T
100
%
100
% 9 0 0 9
Apac
50
2 T T T T L T T T T
89
%
100
% 8 1 0 9
Arua
50
3 L T L T T T N N N
44
%
67
% 4 2 3 9
Budaka
57
1 T T T T T T T T T
100
%
100
% 9 0 0 9
Bududa
57
9 T T T T T T T T T
100
%
100
% 9 0 0 9
Bugiri
50
4 T T T T T T T L T
90
%
100
% 9 1 0 10
Buhweju L L T L N L L T T
33
%
89
% 3 5 1 9
Buikwe T T T T T T T T T
100
%
100
% 9 0 0 9
Bukedea
57
8 T T L L T T N T N
56
%
78
% 5 2 2 9
Bukomansim
bi N T T T T T T N T
78
%
78
% 7 0 2 9
Ministry of Health Resource Centre
27
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Bulambuli L L T L L N N N N
11
%
56
% 1 4 4 9
Bukwo
56
7 T L T T T T N T L
67
%
89
% 6 2 1 9
Buliisa
57
6 T T T T L T T T T
89
%
100
% 8 1 0 9
Bundibugyo
50
5 T T T T T T T N T
89
%
89
% 8 0 1 9
Bushenyi
50
6 T T T T T L T T T
89
%
100
% 8 1 0 9
Busia
50
7 T T N N T T T T T
78
%
78
% 7 0 2 9
Butaleja
55
7 T T T T T T T T T
100
%
100
% 9 0 0 9
Butambala L T L T T L N N T
44
%
78
% 4 3 2 9
Buvuma T T T T T T T T T
100
%
100
% 9 0 0 9
Buyende L L L L L T N L L
11
%
89
% 1 7 1 9
Dokolo
57
5 T T T T T T T T T
100
%
100
% 9 0 0 9
Gomba L T T T T T L T T
78
%
100
% 7 2 0 9
Gulu
50
8 T T T T T T T N T
89
%
89
% 8 0 1 9
Hoima
50
9 T T T T T T T T T
100
%
100
% 9 0 0 9
Ibanda
55
8 T T T T T T T T T
100
%
100
% 9 0 0 9
Iganga
51
0 T T T T T T T T T
100
%
100
% 9 0 0 9
Isingiro
56
0 T T T T T T L T T
89
%
100
% 8 1 0 9
Ministry of Health Resource Centre
28
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Jinja
51
1 T T L T T T T T T
89
%
100
% 8 1 0 9
Kaabong
55
9 T T T T L T T T T
89
%
100
% 8 1 0 9
Kabale
51
2 T T T T T T T T N
89
%
89
% 8 0 1 9
Kabarole
51
3 T T T T T T T T T
100
%
100
% 9 0 0 9
Kaberamaid
o
51
4 T L L T T T L T T
67
%
100
% 6 3 0 9
Kalangala
51
5 T T T T T T T T T
100
%
100
% 9 0 0 9
Kaliro
56
1 T L L L T L L T T
44
%
100
% 4 5 0 9
Kalungu L L T T T T T T T
78
%
100
% 7 2 0 9
Kampala
51
6 T T T T T T T T T
100
%
100
% 9 0 0 9
Kamuli
51
7 T T T T T T T L N
78
%
89
% 7 1 1 9
Kamwenge
51
8 T T T T T T L L T
78
%
100
% 7 2 0 9
Kanungu
51
9 T T T T T T T T T
100
%
100
% 10 0 0 10
Kapchorwa
52
0 T T T L N T T T T
80
%
90
% 8 1 1 10
Kasese
52
1 L T T T T T T N N
67
%
78
% 6 1 2 9
Katakwi
52
2 L T T T T T T N T
78
%
89
% 7 1 1 9
Kayunga
52
3 T T T T T T T T T
100
%
100
% 9 0 0 9
Kibaale
52
4 T T T T T T T T T
100
%
100
% 9 0 0 9
Ministry of Health Resource Centre
29
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Kibuku T T T L T N N T T
67
%
78
% 6 1 2 9
Kiboga
52
5 T T T T T T T T T
100
%
100
% 10 0 0 10
Kiruhura
56
2 T T T T T T T T L
89
%
100
% 8 1 0 9
Kiryandongo L L L L T L L T T
33
%
100
% 3 6 0 9
Kisoro
52
6 T T T T T T T T T
100
%
100
% 9 0 0 9
Kitgum
52
7 T T T N L T T N T
67
%
78
% 6 1 2 9
Koboko
56
3 T T T L L T L N T
56
%
89
% 5 3 1 9
Kole L T T T T N T T T
78
%
89
% 7 1 1 9
Kotido
52
8 T T T T T L T T T
89
%
100
% 8 1 0 9
Kumi
52
9 T T T T T T N T T
89
%
89
% 8 0 1 9
Kween L N T T T T N T T
67
%
78
% 6 1 2 9
Kyankwanzi L T T T T T N N T
67
%
78
% 6 1 2 9
Kyegegwa L L T T T T T T T
78
%
100
% 7 2 0 9
Kyenjojo
53
0 T T L T T T T T T
89
%
100
% 8 1 0 9
Lamwo T T L T T T T T T
89
%
100
% 8 1 0 9
Lira
53
1 T T T T T T T T T
100
%
100
% 9 0 0 9
Luuka T T T N T N T T T
78
%
78
% 7 0 2 9
Ministry of Health Resource Centre
30
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Luwero
53
2 T T L L T T T T T
78
%
100
% 7 2 0 9
Lwengo N N N N T T T N T
44
%
44
% 4 0 5 9
Lyantonde
58
0 T T T L L T L L T
56
%
100
% 5 4 0 9
Manafwa
56
6 T T T T T T T T T
100
%
100
% 9 0 0 9
Masaka
53
3 T T T T T T T T T
100
%
100
% 9 0 0 9
Masindi
53
4 T T T T T T T T N
89
%
89
% 8 0 1 9
Mayuge
53
5 T N T T L L T T L
56
%
89
% 5 3 1 9
Mbale
53
6 T T T T T T T T T
100
%
100
% 9 0 0 9
Mbarara
53
7 T T T L T T T T T
89
%
100
% 8 1 0 9
Mitooma T N N L T N T N N
40
%
50
% 4 1 5 10
Mityana
56
8 T T T T T T T T T
100
%
100
% 9 0 0 9
Moroto
53
8 T T T T T T T T T
100
%
100
% 9 0 0 9
Moyo
53
9 T T T T T T T T T
100
%
100
% 9 0 0 9
Mpigi
54
0 T T T T T T T T T
100
%
100
% 9 0 0 9
Mubende
54
1 T T T T T T T N T
89
%
89
% 8 0 1 9
Mukono
54
2 T T T T T T T T T
100
%
100
% 10 0 0 10
Nwoya N T T L N T N T T
56
%
67
% 5 1 3 9
Ministry of Health Resource Centre
31
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Nakapiripirit
54
3 T T T T T T T T T
100
%
100
% 9 0 0 9
Nakaseke
56
9 T T T T T T T T T
100
%
100
% 9 0 0 9
Nakasongola
54
4 T T T T T T L T T
89
%
100
% 8 1 0 9
Namayingo T L T T T T L L T
67
%
100
% 6 3 0 9
Namutumba
57
4 T T T T T T T T T
100
%
100
% 9 0 0 9
Napak T T T T T T L T T
89
%
100
% 8 1 0 9
Nebbi
54
5 T T T T T N L L T
67
%
89
% 6 2 1 9
Ngora L L T L L N N N N
11
%
56
% 1 4 4 9
Ntoroko T T T T T T N T T
89
%
89
% 8 0 1 9
Ntungamo
54
6 T T T T T T T T N
89
%
89
% 8 0 1 9
MARACHA
57
7 T T T T T T T T T
100
%
100
% 9 0 0 9
Otuke T N T L L T T L T
56
%
89
% 5 3 1 9
OYAM
57
2 T T T T T T T T T
100
%
100
% 9 0 0 9
Pader
54
7 T T T T L T T T T
89
%
100
% 8 1 0 9
Pallisa
54
8 T T T T T T L T L
78
%
100
% 7 2 0 9
Rakai
54
9 T T T T T T L L T
78
%
100
% 7 2 0 9
Rubirizi T T T T T T T T N
89
%
89
% 8 0 1 9
Ministry of Health Resource Centre
32
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Rukungiri
55
0 T T T T T T T T T
100
%
100
% 9 0 0 9
Serere L T T L T T T T T
78
%
100
% 7 2 0 9
Sheema L T T N T N L N N
33
%
56
% 3 2 4 9
Ssembabule
55
1 T T T T T T T T T
100
%
100
% 9 0 0 9
Sironko
55
2 T T T T T L T T T
89
%
100
% 8 1 0 9
Soroti
55
3 L T L L T L L T T
44
%
100
% 4 5 0 9
Tororo
55
4 T T T T T T T T T
100
%
100
% 10 0 0 10
Wakiso
55
5 T T T T T T T T T
100
%
100
% 9 0 0 9
Yumbe
55
6 T T T T T T T T T
100
%
100
% 10 0 0 10
Zombo T T T T T T T T T
100
%
100
% 9 0 0 9
T (Timely
report) 87 94 95 87 94 92 76 81 91
% timely
report 78% 84% 85% 78% 84% 82%
68
% 72% 81%
L (Late
report) 21 11 13 19 14 11 20 11 5
% late
report 19% 10% 12% 17% 13% 10%
18
% 10% 4%
N (No
report) 4 7 4 6 4 9 16 20 16
% not
reported 4% 6% 4% 5% 4% 8%
14
% 18% 14%
Ministry of Health Resource Centre
33
DistrictDistrictDistrictDistrict JANJANJANJAN FEBFEBFEBFEB MARMARMARMAR APRAPRAPRAPR MAYMAYMAYMAY JUNJUNJUNJUN JULJULJULJUL AUGAUGAUGAUG SEPSEPSEPSEP
Report
s on
time
Total
report
s
receiv
ed
Total
T
Total
L
Total
N
Total No
Expect.
Completen
ess 96% 94% 96% 95% 96% 92%
86
% 82% 86%
NATIONAL NATIONAL NATIONAL NATIONAL
TotalTotalTotalTotal
79797979
%%%%
92929292
%%%% 805805805805 125125125125 86868686 1016101610161016
- Target of reporting is the 28th of the next month
- A Timely report is having the report received at Central level within 1st to 28th of the next month
- Late is a report that was received at Central level after the 28th of the next month.