Data Tabulation of Service Statistics –Track 201. Anglophone African Countries (n=11)

2. Francophone African Countries (n=14)

3. Asian Countries (n=9)

34 CountriesAnglophone Africa Francophone Africa Asia

Kenya Benin Nepal

Malawi Burundi Phillipines

Nigeria Cameroon Indonesia

Tanzania Cote d'Ivoire India

Uganda DRC Lao

Zambia Guinee Myanmar

Zimbabwe Madagascar Pakistan

Somalia Mali Vietnam

Ethiopia Niger Afghanistan

Liberia Togo

Rwanda Sierra Leone

Mauritania

Senegal

Burkina Faso

11 Countries 14 Countries 9 Countries

Data collected/reported: Data regularly recorded and reported through the routine reporting system(s)

30

30

29

27

25

24

23

20

20

19

18

17

17

16

15

14

14

10

9

8

4

3

3

3

Implant Inserted (33)

IUDs Inserted (33)

New FP Acc By Method (33)

Commodities Distributed to Clients By Method (33)

Male Sterilization (33)

Female Sterilization (33)

Active User By Method (31)

IUDs Removed (32)

SDP stock-out, by method (29)

CPR = "coverage" rate (30)

Implant Removed (32)

CYP - Women-year protection rate (30)

FP Client Visit (32)

Primary-level Facilities offering >3 contraceptive methods (30)

Secondary-level Facilities offering >5 contraceptive methods (30)

DropOuts By Meth (32)

FP Client Visit By Method (31)

Post-partum women adopting FP method (29)

FP Method Changer, by new method accepted (31)

Post-partum women receiving counseling (29)

Visual cervix inspection (29)

PAP smear taken (29)

Women Left Facility with different method (30)

Women Left Facility with initial method (30)

# of countries reporting each indicator

Ind

icato

r (#

resp

on

ded

)

Recording and Reporting System1. Service data recorded at service delivery points (SDPs) in the

government system

97%

3%

Register

Other Paper

Electronic

Recording and Reporting System2. Frequency of reporting from SDPs

88%

12%

Monthly

Quarterly

Instantly-online

Other

Recording and Reporting System3. Media used for data reporting from SDPs to the next level up

(e.g. District Health Office)

64%

21%

15%

Paper

Electronic

Both

Recording and Reporting System4. Lowest level where data are entered into a database and reported

electronically

27%

12%

45%

9%

6%

SDPs

Sub-district

District/Municipality

Province/State

None

Data Dissemination1. Service Statistics data disseminated

64%12%

9%

15%

Printed reports

Printed tables

Posted on website(s)

Other

Data Dissemination2. Level of geographic detail

9%

13%

47%

31%

Region

Province/State

District/City

Lower level

Data Dissemination3. Frequency of Data Dissemination

45%

27%

24%

3%

Monthly

Quarterly

Annually

Semi-Annually

Other

Data Dissemination4. SS Platform

15

21

18

Dashboard (30)

Interactive Database (30)

FP SS on DHIS2 Platform (30)

Ind

icato

rs (

# r

esp

on

ded

)

# of countries

Data Quality

82.3

27.9

0

10

20

30

40

50

60

70

80

90

100

% of SDPs report during the typical reporting

period

% of SDP reports typically late

Reporting Coverage

Data Quality

1. Formal assessments done of SS data accuracy

Data Accuracy

66%

34%

Yes

No

Data Quality2. General perception of the quality of data coming from the service

statistics/routine data system(s)

66%

31%

3%

Relatively Accurate

Relatively Inaccurate

Highly inaccurate

Data Quality3. General perception as to the trend in SS system data quality among key

stakeholders

88%

12%

Improving

No change

Getting worse

Data Quality4. Countries that have the government made any meaningful efforts

to improve data quality in the past five years

94%

6%

Yes

No

Data QualityActions taken to mitigate data quality limitations

Countries use survey data to adjust SS

71%

29%

Yes

No

Data Use

Use SS data: 1-5 scale: 1 = for simply compiling data in reports (monthly, quarterly,

annual) that are not used, up to 5 = regularly used for program planning, monitoring

and/or making program improvements

Mean score: 3.625; min-max 1-5; Median 4

4

2

78

11

0

2

4

6

8

10

12

1 2 3 4 5

# o

f co

untr

ies

Use of SS Data Score (1-5)

Meaningful use of SS data

Private/NGO Sector

25 out of 34 countries that

responded distribute

contraceptive commodities to

the private/NGO sector

The private/NGO sector in 30

out of 34 countries that

responded report to

government

74%

26%Yes

No

88%

12%

Yes

No

Private/NGO Sector

32%

47%

21%

Private sector

orgs/NGOs receiving

govt. commodities

Others

Both

Countries report to government

All 34 countries responded to the level of private sector/NGO reporting coverage with an

average percentage of 46.2%

Private/NGO Sector

25

12

16

20

22

19

29

19

30

17

0 5 10 15 20 25 30 35

# Contraceptive Sold To Clients (33)

CYP - Couple-Years of Protection (30)

# Active Continuing Users (26)

# Client Visits (33)

Female Sterilizations (33)

Male Sterilizations (33)

# Implants Inserted (33)

# Implants Removed (33)

# IUDs Inserted (34)

# IUDs Removed (34)

# of countries

Ind

icato

rs (

# r

esp

on

ded

)

Indicators are reported by private sector/NGOs

Private/NGO Sector

71%

29%

Yes

No

24 countries (out of 34 countries

that responded) confirm that either

the private sector is integrated into

the government HIV/HMIS, or the

data are compiled separately and

added to government estimates and

reports.

Those 24 countries are: Malawi,

Nigeria, Uganda, Zambia, Ethiopia,

Rwanda, Benin, Burundi, Cameroon,

Cote d’Ivore, DRC, Guinea,

Madagascar, Mali, Niger, Togo,

Mauritania, Senegal, Burkina Faso,

Nepal, Indonesia, India, Pakistan, and

Vietnam

Measuring Stock-Outs

24 countries (out of 27 countries responding) measure contraceptive stock-out at SDP, by method:

• 13 countries using zero stock balances at end of reporting period, and

• 16 countries at any point/any day during a reporting period.

20 countries collect data on duration of stock-outs

Measuring Stock-Outs

15

16

15

15

15

16

SDP Head (19)

SDP Logistics Staff (18)

District and Provincial Program Manager (19)

District and Provincial Logistics Staff (19)

National Program Manager (19)

National Logistics Staff (19)

# of countries

Ind

icat

ors

(#

resp

on

de

d)

Who regularly reviews stock-out data?

Measuring Stock-Outs

13

15

9

15

Triggering new orders

(16)

Tracking Logistics

system performance

(17)

Triggering changes in

logistics system

operation (15)

Completing required

reports (17)

# o

f co

untr

ies

resp

ondin

g ye

s

Indicators (# responded)

What are the main uses of stock out data?

THANK YOU