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Promoting improved coverage of WASH in Schools through global monitoring Christie Chatterley amp Robert Bain 27 October 2015 UNC Water amp Health Conference Introduction Global progress on household water ID: 701215

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Slide1

Advancing WinS Monitoring

Promoting improved coverage of WASH in Schools through global monitoring

Christie Chatterley & Robert Bain

27 October, 2015

UNC Water & Health ConferenceSlide2

IntroductionGlobal progress on household water & sanitation has been tracked by JMP for 25 years, but…

Monitoring is included in the 6 points of action in the Global Call “Raising Even More Clean Hands”:

BACKGROUND

2

There

is no global monitoring and

reporting mechanism

for

WASH in Schools

“Advocate

for the inclusion of WASH in Schools indicators in EMIS….”

“Support the

compilation

of

data on coverage…at the global level…” Slide3

IntroductionIn response to the points of actions outlined in the Global Call to Action, this study:Presents the best reported WinS

coverage data availableGlobal, regional and national estimates based on 149 countriesCoverage trends

Review of data qualityExamines current national WinS monitoringWhat WinS indicators countries include in EMIS

Strengths and gaps of current WinS

monitoring

PURPOSE

3

Caveat: we present

WinS

coverage based on available data, but estimates are far from perfect due to data quality issues and varying indicators

→ similar to challenges faced by JMP 25yrs agoSlide4

Part 1: WinS coverageGlobally, both water & sanitation coverage in schools increased by 6% from 2008 to 2013Reported coverage is increasing more rapidly in LDCs: 9% over 5

yrs for both water and sanitationReported data on handwashing facility coverage are scarce: readily available from 11 countries (21%)

FINDINGS

4

Reported sanitation coverage in schools

Reported water coverage in schoolsSlide5

Where did these averages come from?Costa Rica

SANITATION

NATIONAL

URBAN

RURAL

Source

Year

Existence of Toilets

Improved

Adequate Quantity

Single-sex

Functional

Unknown/Other

Existence of Toilets

Improved

Adequate Quantity

Single-sex

Functional

Unknown/Other

Existence of Toilets

Improved

Adequate Quantity

Single-sex

Functional

Unknown/Other

SERCE 2008

2008

 

 

 

 

 

61

 

 

 

 

 

 

      UNICEF COAR 2009200997                 UNICEF COAR 2010201094                 UNICEF COAR 2011201199                 UNICEF COAR 2012201299                 EMIS 20132003    57             EMIS 20132004    55             EMIS 20132005    56             EMIS 20132006    55             EMIS 20132007    54             EMIS 20132008    52             EMIS 20132009    52             EMIS 20132010    54             Slope-0.23333Y-intercept522.9667functionalEMIS 20132011    57             Slope1.1Y-intercept-2114.3existenceNotes: We report the functional data since it's the most stringent indicator with data available. NATIONAL WATEREstimated 2008 and 2013 coverageYearExistence of ToiletsImprovedAdequate QuantitySingle-sexFunctionalUnknown/Other200895%   54% 2013100%   53%61%

5

Data were collected from multiple sources & analyzed using linear regression (JMP method)

Data sources: UNICEF COARs, UNESCO Education, WHO GLAAS, EMIS (small %, but unclear) Slide6

Part 1: WinS coverageThere are a number of data quality concerns

Unexplainable variation in data from different sourcesInconsistent, varying & often unknown indicators used

Same out-of-date data reported annually (skews trends)Decreasing trends may actually be better monitoring

DISCUSSION

6

Water indicators

Sanitation indicatorsSlide7

Part 1: WinS coverageAs a step toward addressing data quality concerns, the 2011 WinS

Monitoring Package provides guidance on how to improve WinS monitoring through EMIS

DISCUSSION

7

What is EMIS?

Education

Management Information System

:

A

national system to monitor school information, usually managed by the Ministry of

Education. Many countries already have an EMIS.Slide8

Part 2: Improving EMISWe assessed EMIS questionnaires from 54 countries for inclusion of the 13 parameters recommended in the WASH in Schools Monitoring Package

for EMIS 1 point was assigned for each parameter included

BACKGROUND

Component

Indicator

Parameters

Water

A

functional

water point is available

at or near

the school that provides a

sufficient quantity

of water for the needs of [the] school, is

safe

for drinking, and is

accessible

to

children

with

disabilities

Functionality

Proximity

Quantity

Quality

Accessibility

Sanitation

The

number

of

functional

toilets and urinals for

girls

,

boys

and teachers meet national standards, and are accessible to children with disabilitiesQuantity Functionality Gender Quality AccessibilityHygieneFunctional handwashing facilities and soap (or ash) are available for girls and boys in the school and hygiene is taughtFunctionality Soap Hygiene taught 8Slide9

Part 2: Improving EMISMany countries capture WinS in the

EMIS: 48 of 54 include water & sanitation; 17 include hygiene

Sanitation is the most comprehensively included; Hygiene is the leastFINDINGS

9

(47% of total score possible)

(36% of total score possible)

(33% of total score possible)

Sanitation is the most comprehensively monitored component in EMISSlide10

Part 2: Improving EMISFINDINGS

10

Quantity

is the most commonly monitored

sanitation parameter

Quality is the most commonly monitored water

parameter

Handwashing facility functionality is the most commonly monitored hygiene parameter; soap provision is the leastSlide11

ConclusionPart 1More countries are reporting WinS coverage data each year; about 50% more from 2008 to 2013There is an increasing trend for reported WinS coverage: 6% over 5

yearsHandwashing facility coverage is rarely reportedThe quality of WinS coverage data is questionable, including poorly defined and varying

indicatorsPart 2Many countries (48 of 54) solicit WinS information through their EMIS questionnaires

Sanitation is the most comprehensively monitored; hygiene is the leastWinS data captured in EMIS questionnaires are often underutilized (not

always

reported or accessible)

KEY POINTS

11Slide12

ConclusionRECOMMENDATIONS

Donors,

governments, and g

lobal monitoring mechanisms should

report and strengthen monitoring of

WinS

coverage

Utilize existing national EMIS data, where possible

Link to SDGs -

JMP proposes to report on

WinS

12Slide13

ConclusionRECOMMENDATIONS

Donors,

governments, and g

lobal monitoring mechanisms should

report and strengthen monitoring of

WinS

coverage

Utilize

existing national EMIS data, where possible

Link to SDGs -

JMP proposes to report on

WinS

Improve

the

quality & consistency

of national

WinS

monitoring and reporting

Agree

on clear definitions

and standards/guidelines for

WinS

, including hygiene

Expand or modify

indicators to include aspects

beyond existence of facilities, such

as

functionality

Simplify

or

reduce

the number of indicators if quantity or complexity is at the cost of quality

Build

capacity to improve data collection &

analysis

13

National adoption of the WinS Monitoring Package can supportAlign WinS guidelines & monitoring package to the extent possibleSlide14

AcknowledgementsThis study would not have been possible without the following contributors & peer reviewers: Christie Chatterley, Murat Sahin, Greg Keast, Robert Bain, Hiroyuki Hattori, Rolf Luyendijk, Lizette Burgers, Therese Dooley, Mac Glovinsky, Peter Harvey, Mathieu Brossard, and Louise Maule (UNICEF); and Fiona Gore (WHO).And the UNICEF country office staff who reviewed the data: Hendrik van Norden (Regional Office for South Asia), Jeremie Toubkiss (

Mali), Fiona Ward (Bangladesh), Suranga De Silva (Sri Lanka), Santepheap Heng

(Cambodia), Ian David Jones (Guyana and Suriname), Kiran Qazi (Pakistan), Zhenbo Yang (China), Mamita Bora Thakkar (India), Koenraad Vancraeynest

(Bolivia), Diego Fernando Lopez (Colombia), Jon Michael Villasenor (Philippines), Nana Pruidze (Georgia), Anu Paudyal

Gautam

(Nepal),

Shahula

Ahmed (Maldives),

Elnur

Aliyev (Azerbaijan), Douglas Abuuru (Zambia), Bishnu Timilsina (Lao PDR), Aidan Cronin (Indonesia),  John-Bosco Kimuli-Sempala (Uganda), Agnes Makanyi (Kenya), Kencho Namgyal (Bhutan), Brigitte Matchinda (Cameroon), and David Simon (Mauritania).Also the WHO GLAAS contributors, UNESCO education dataset contributors, UNICEF country offices, many national ministries of education, and the JMP for providing the data that serve as the basis of the estimates published in this report.This study

is a compilation of the efforts of many working to advance WinS around the globe.Thank you

Contact: Murat

Sahin (msahin@unicef.org)Slide15

Extra slidesSlide16

Overview Introduction: objective & rationalePart 1: Global WinS coveragePart 2: Monitoring WinS through national EMISConclusion: key points & recommendations

16Slide17

Where did these averages come from?Costa Rica

SANITATION

NATIONAL

URBAN

RURAL

Source

Year

Existence of Toilets

Improved

Adequate Quantity

Single-sex

Functional

Unknown/Other

Existence of Toilets

Improved

Adequate Quantity

Single-sex

Functional

Unknown/Other

Existence of Toilets

Improved

Adequate Quantity

Single-sex

Functional

Unknown/Other

SERCE 2008

2008

 

 

 

 

 

61

 

 

 

 

 

 

      UNICEF COAR 2009200997                 UNICEF COAR 2010201094                 UNICEF COAR 2011201199                 UNICEF COAR 2012201299                 EMIS 20132003    57             EMIS 20132004    55             EMIS 20132005    56             EMIS 20132006    55             EMIS 20132007    54             EMIS 20132008    52             EMIS 20132009    52             EMIS 20132010    54             Slope-0.23333Y-intercept522.9667functionalEMIS 20132011    57             Slope1.1Y-intercept-2114.3existenceNotes: We report the functional data since it's the most stringent indicator with data available. NATIONAL WATEREstimated 2008 and 2013 coverageYearExistence of ToiletsImprovedAdequate QuantitySingle-sexFunctionalUnknown/Other200895%   54% 2013100%   53%61%

17

Data were collected from multiple sources & analyzed using linear regression (JMP method)Slide18

Part 1: WinS coverageReporting of coverage data for water & sanitation in schools has increased by 49% and 64%, respectively, from 2008 to 2013

FINDINGS

More countries are reporting WinS coverage data each year

18Slide19

Part 1: WinS coverage2013 national estimates for water coverage in schoolsNote: use of different indicators limits cross-country comparison

Kiribati: 3% (min quantity from improved source per

student) Sierra Leone: 23% (improved source in working condition) Namibia: 81% (any water source exists)

FINDINGS

91-100%

76-90%

50-75%

< 50%

Not in study

Water coverage in schools is

less than 50% in 29 countries and over 90% in 51 countries (of 149 countries)

19Slide20

Part 1: WinS coverageRegionally, water coverage in schools is increasing in all but Southern Asia(note: data limitations are associated with these estimates)

FINDINGS

Water coverage in schools

is highest in Western Asia and lowest in Sub-Saharan Africa

20Slide21

Part 1: WinS coverage2013 national estimates for reported sanitation coverage in schoolsNote: use of different indicators limits cross-country comparison

Albania: 30% (gender-segregated functional toilets) Tanzania: 11% (at least one toilet per 20 girls & one per 25 boys)

Cambodia: 81% (existence of toilets) FINDINGS

Reported sanitation coverage in schools

is less than 50% in 36 countries and over 90% in 46 countries (of 147 countries)

91-100%

76-90%

50-75%

< 50%

Not in study

21Slide22

Part 1: WinS coverageRegionally, reported water coverage in schools is increasing in all but Northern Africa(note: data limitations are associated with these estimates)

FINDINGS

Reported sanitation coverage in schools is

highest in Western Asia and lowest in Sub-Saharan Africa

22Slide23

Part 2: Improving EMISOn average, 31% of the total recommended parameters are included in EMIS questionnaires

Average score of 4 out of 13 parametersNOTE: WinS

in EMIS questionnaires doesn’t necessarily mean data are analyzed and reportedFINDINGS

23Slide24

Part 2: Improving EMISFINDINGS

Parameter

Recommended questions

Examples of national EMIS questions

Quality

1:

What is the school’s main water source? (distinguishes improved vs unimproved)

4:

Do you treat water from the source you use at school in any way to make it safer to drink?

Bangladesh:

Potable water supply (select): public supply or tap/ tube well/ pond/ river; Is the water free from Arsenic?

Burundi:

Access to potable water: yes/no

Zimbabwe:

Water source, type of water treatment, type of water system/device

Proximity

1:

What is the school’s main water source? (

option:

“no

water available in or near school”)

Uganda:

Distance to nearest main water source (select one): <1km/ 1-2km/ 2.1-3km/ 3.1-4km/ 4.1-5km/ >5km)

Niger:

Does the school have a water point on premises?

Functionality

2:

How often is the water source functional?

Lao PDR:

Is

water

supply functional

throughout

year?

Guinea:

water source:

#

in good condition (in use__, not__);

# in poor condition (in use__, not__)Cote d’Ivoire: Does the school have a water point on premises? (select): running water tap/ well/ functional borehole/ no waterQuantity3: When the water source is functional does is provide enough water for the needs of the school, including water for drinking, handwashing, food preparation?Bhutan: sufficient water supply all year (yes/no); reason for insufficient water supply:____Belize: when the water source is functional, does it provide enough water for the needs of the school? (yes/no/not functional)Accessibility6: Are drinking water facilities accessible to children with physical disabilities?Myanmar: is there a functional water point accessible to children with disabilities?24Slide25

Part 2: Improving EMISFINDINGS

Parameter

Recommended questions

Examples of national EMIS questions

Quantity

2:

How many toilet compartments are there in the school for children?

3:

Does the school

have

urinals?

Cote d’Ivoire:

Number of holes: boys__, girls__, mixed__

Malawi:

Number of flush toilets in use, number of pit latrine drop holes in use (improved__, basic__), number of urinal blocks

Functionality

2:

(the request for number of toilets is separated by functional / not functional)

India:

Number of functional toilet seats (minimal odor, unbroken seat, regularly cleaned dry, working drainage system, accessible to users, closable door): boys only__, girls only__

Burundi:

State of latrines (functional/non-functional)

Gender

2:

(the request for number of toilets is separated by exclusively for girls / exclusively for boys / communal)

Burkina Faso:

Are the girls’ latrines separated from boys?

Chad:

#

of latrines/WCs: boys__, girls__, mixed__, all__

Gambia:

Number of girls’ toilets: __; distance (m) between boys’ and girls’ toilets

Accessibility

5:

Are toilets accessible to children with physical disabilities?

Iraq:

Seats and facilities for pupils with special needs are available

Bangladesh:

Number of usable latrines for disabledQuality1: Does the school have any toilet facilities? (the only options provided to check yes are “improved” facilities)Malawi: Number of pit latrine drop holes in use: improved__, basic__Lao PDR: What type of toilets are at the school?25Slide26

Part 2: Improving EMISFINDINGS

Parameter

Recommended

questions

Examples of national EMIS questions

Functionality

2:

(the request for number of handwashing stations is separated by functional / not)

Timor-Leste:

Number and condition of handwashing facilities: good__, bad__, urgent__

Togo:

Does the school have functional handwashing stations?

Hygiene taught

4:

Is hygiene taught in the school?

Swaziland:

Are you teaching health and hygiene as (select): a separate subject/ part of another subject/ no

Iraq:

Does the school arrange periodic awareness symposia about general and personal hygiene practices

Soap

3:

Is sufficient soap (or ash) available?

Myanmar:

Is there soap (or ash) available for students in the school?

Belize:

Is sufficient soap available? (always/ sometimes/ never)

26Slide27

Part 2: Improving EMISMore examples from the review of 3 education annual reports

FINDINGS

Report

WinS data reported

WinS data collected

Ethiopia

(2012/13)

Proportion of schools with access to water

Proportion of schools with a

tap

Proportion of schools with a well

Does the school have water supply? (y/n)

if yes (select): tap / well, drill / river, spring / other____

Uganda

(2011)

National and Regional ratios of number of students per toilet

(

averaged for the nation and regions)

Number of latrine blocks: In use:__; Not in use: __

Number of latrine stances (for all blocks in use)

with doors: teachers__, girls__, boys__, mixed__, total__;

with shutters: teachers_, girls_, boys__, mixed__, total__;

without doors/shutters: teachers_, g_, b_, mixed_, total__

Bhutan

(2013)

 

Number of permanent and semi-permanent (separately):

Flush-toilets (cubicles)___, ___ How many used___

Pit-toilets (holes)___, ___ How many used___

Aqua-privy toilets (cubicles)___, ___ How many used___

27Slide28

IntroductionWhy Monitor Globally?

RATIONALE

28

*Source:

http://www.wssinfo.org/about-the-jmp/monitoring/

Measure

global trends and identify major

challenges

Inform global processes for the allocation of aid

flows

Support awareness-raising and

advocacy

Help to identify countries without monitoring

frameworks

Provide a framework to determine how national monitoring can be

supportedSlide29

Part 1: WinS coverageReported WinS coverage data is currently scattered between multiple sources:

UNICEF: COARs and Regional Snapshots

UNESCO: Education dataset (Africa only) and SERCE data (Latin America only)WHO: GLAAS datasetOther sources (e.g. National education reports (EMIS),

the WinS mapping website, UNICEF WASH program officers, and surveys not captured

by

other

sources

)

Gap:

a study that compiles WinS coverage data from all available data sets to provide comprehensive global estimates and trends

BACKGROUND29Slide30

Part 1: WinS coverageNational data were gathered from available (accessible) sources; 149

countries in totalData were

reviewed for major inconsistenciesSecondary estimates were verified against primary data sources (e.g. EMIS) when possible Data were analyzed using linear

regression (method used by JMP)Similar indicators were grouped & analyzed separately

e.g. coverage of

functional

water source

in schools vs

. only the existence of a water source

Final estimates were shared with UNICEF Country Offices for their consent

METHODS30

* For more details on the data review process, see the spreadsheet at http://www.unicef.org/wash/schools/Slide31

Part 1: WinS coverageReported data on handwashing facility coverage in schools is scarce

FINDINGS

31

Country

Most

recent reported data (%)

Afghanistan

12

Angola

0

Botswana

13

Burundi

10

Ethiopia

7

Malawi

4

Rwanda

37

Tanzania

1

Uganda

37

India

42

Costa Rica

64

Average

21

Data on school handwashing facilities were available

(easily

accessible) for

11

countries

On average, reported coverage of handwashing facilities in schools is 21

%

some countries also consider soap availability

Of course, facilities are only one component of school hygieneSlide32

Part 1: WinS coverageOn average, reported water coverage in schools is lower than household coverage reported in the JMP, while reported

sanitation coverage in schools is higher than household coverage

FINDINGS

Region

Water

Sanitation

School coverage (%)

Household coverage

(%)

School coverage (%)

Household coverage

(%)

World

69

89

66

64

Developing countries

68

87

64

57

Least developed countries

51

65

47

36

Developed countries

89

99

90

96

*Household data from JMP

2013 update

32Slide33

Part 2: Improving EMISEMIS questionnaires were gathered from as many countries as possible

54 countries were included in the analysisQuestionnaires were compared to guidelines, assigning 1 point for each parameter included

The frequencies of each parameter were examined to identify gaps

METHODS

Note: Only questionnaires that included WASH were scored

N

o score =

WASH was not included in any way

Score of 0 =

WASH was included but none of the recommended parameters

(e.g. Does the school have water?)

33Slide34

Part 2: Improving EMISQuantity refers to the number of toilets

Functionality refers to functional/usable toilets24 countries ask the number of functional toilets

Gender refers to girls-only toilets24 countries ask the number of girls-only toiletsAccessibility refers to toilets for students with disabilities

2 countries ask the number of “accessible” toilets

Quality

refers to “improved” toilets (based on type)

surprisingly few countries capture considering JMP

FINDINGS

34

Quantity

is the most commonly monitored

sanitation parameterSlide35

Part 2: Improving EMISQuality refers to “improved, potable”

4 countries’ EMIS ask about treatment or actual qualityProximity refers to “at, near, within” the school

2 countries ask about actual distance to the water sourceFunctionality refers to “usable, good condition, functional”

Includes functionality throughout the year and/or current state Quantity refers to

“sufficient, adequate, satisfactory”

Doesn’t include number of water points only

Accessibility

is only captured by Myanmar and Yemen

FINDINGS

35

Quality is the most commonly monitored water

parameterSlide36

Part 2: Improving EMISFunctionality refers to functional handwashing facilities

5 countries ask the number of functional facilitiesHygiene taught questions range from if hygiene is taught as a separate subject to if the school arranges periodic hygiene symposia

Soap refers to if soap is available at the school2 of the countries also include ash as alternative

FINDINGS

36

Handwashing facility functionality is the most commonly monitored hygiene parameter; soap provision is the leastSlide37

Part 2: Improving EMISWinS in EMIS questionnaires doesn’t necessarily mean data are analyzed and reported

Information requested is not always reportedUnit of analysis is not always school-level

FINDINGS

Report

WinS data reported

WinS data collected

Uganda

(2011)

National and Regional ratios of number of students per toilet

(

averaged for the nation and regions)

Number of latrine blocks: In use:__; Not in use: __

Number of latrine stances (for all blocks in use)

with doors: teachers__, girls__, boys__, mixed__, total__;

with shutters: teachers_, girls_, boys__, mixed__, total__;

without doors/shutters: teachers_, g_, b_, mixed_, total__

37