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Local data needs for the Systemic Management and Mitigation of the Impact of HIVAIDS on Education

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Title: Local data needs for the Systemic Management and Mitigation of the Impact of HIVAIDS on Education


1
Local data needs for the Systemic Management and
Mitigation of the Impact of HIV/AIDS on Education
  • HIV/AIDS Education Seminar,
  • Mombasa, November 2002

2
HIV/AIDS Impact on Education
  • The primary impact of HIV/AIDS is to explode the
    scale of existing systemic and management
    problems in education
  • It will directly and indirectly affect
  • Labour attrition, recruitment training
  • Access, enrolment gender equity
  • Increase orphaning drop out rates
  • Reduce household/school fee income
  • Learner transition, graduation rates quality
  • Some geographic areas more than others

3
EMIS System Management
  • Conventional EMIS at best capture annual
    snapshots of the system
  • Generally these systems tend to be centralised
  • Often delays in providing information to
    different levels of education management
  • Few EMIS systematically deliver timeous or
    reliable data or provide basic decision support
    information
  • Result is failure to provide reliable evidence of
    HIV/AIDS impact or even regular system
    performance or crisis.

4
EMIS Management Demand
  • Information system failure stems from lack of
    management demand, yet, demand must be stimulated
    by sustained evidence of useful, value-added
    information and enhanced capacity
  • Improved EMIS and decision support information is
    good for education and for HIV/AIDS management
    and mitigation
  • HIV/AIDS managers need key indicators to inform
    system management and project implications over
    time
  • Relevant, consumable information will create
    political awareness and mobilise commitment and
    support for response.

5
HIV/AIDS Data Requirements
  • Key feature should be the capacity to capture
    time-series data.
  • Labour Establishment and temporary permanent
    loss by reason, age, gender, type and school (To
    inform recruitment training, loss of contact
    time/quality)
  • Enrolment Temporary permanent loss by reason,
    age, gender, grade and school (To inform access,
    gender equity, orphaning pregnancy rates)

6
HIV/AIDS Data Requirements (2)
  • Transition graduation rates Ex-EMIS (To
    project output tertiary supply)
  • Orphaning Incidence by month (trends)
  • Fees Loss through school exemptions
  • Geographic variation Analysis by school.

7
The Response
  • A decentralised local level data collection tool
    (DEMMIS) has been developed to test viability of
    monthly data capture
  • The pilot system has been designed to capture key
    indicators of HIV/AIDS impact on a monthly basis,
    to guide response at the school, circuit and
    district levels
  • The data captured reinforces school, circuit and
    district management systems and supplements
    annual EMIS data with time-series and trends.

8
The DEMMIS Pilot in KwaZulu-Natal
9
The Geography
  • KwaZulu Natal is South Africas most populous
    province at around 8.5 million
  • It has a school enrolment of almost 2,7 million,
    taught by about 76 000 teachers in almost 6 000
    schools
  • It is also the worst affected by HIV/AIDS with an
    antenatal HIV prevalence rate of over 36 in
    2002
  • HIV/AIDS impact varies dramatically over the
    province
  • Pilot districts were selected on the basis of
    their demographic mix.

10
Guiding Principles
  • Pilot was initiated in 95 schools in the
    Dannhauser District, in February 2001
  • This is the first known systematic time series of
    school data designed to capture indicators of
    HIV/ AIDS impact
  • Was not heavily managed or monitored by the
    regional and district officials
  • The role the system plays in HIV/AIDS impact and
    management issues were down played viewed
    rather as a general, local level management tool
  • Used the opportunity to provide other EMIS data
    and training in data capture management and
    utilisation to the District Office.

11
Guiding Principles (2)
  • Should not be duplicatory or onerous on
    Principals or District Officials
  • Should dovetail with existing functions
  • Must be available in average school
  • Must not be difficult to capture
  • Must have obvious management value
  • Must be simple as to obviate fabrication or
    falsification
  • It should be seen as an adjunct to EMIS with the
    capacity to link annual data with monthly time
    series and verify the reliability of conventional
    EMIS.

12
The DEMMIS system
  • Entails the collection of monthly statistics from
    schools - on teachers, learners, support staff
    and school governing bodies
  • School summary forms are submitted monthly and
    then captured at District Office Level
  • Data capture programme allows education managers
    to access specific reports generated per school,
    circuit and district
  • Monthly summary reports around management
    reporting requirements
  • Exception reports, built into the programme,
    identify trends that invites intervention from
    managers at all levels.

13
The DEMMIS System (2)
  • Provides time-series data on
  • enrolment, absenteeism, attrition, contact time,
    drop-out, pregnancy, orphaning and fees
  • The school, Circuit and District and Regional
    level all involved and informed
  • Indicators of HIV/AIDS impact can be quickly and
    easily derived from these.

DEMMIS development supported by DfID
14
(No Transcript)
15
Information flows
District Office Captures Form A and consider
reports generated
District Office provide forms and training
Schools submit Form A on monthly basis
Schools provided with feedback summary
analysis
Schools complete Form A and B on monthly basis
Summary data provided to the Regional Office
16
Reporting mechanisms
  • Some of the reports that are made available
  • Change in enrolment patterns
  • Temporary or permanent absence of teachers and
    pupils
  • Loss of contact time between pupil and teacher
  • Pregnancy rates
  • Orphaning issues
  • Reduction in school fee income
  • Change in composition of the School Governing
    Body
  • Others ..

17
Preliminary analysis-Findings within 32
schoolsFebruary to November 2001
18
Ladysmith Region, KwaZulu-Natal
Dannhauser District
Ladysmith Region
19
Normandien Circuit, Dannhauser District
Dannhauser District
Normandien Circuit
20
Profile of Dannhauser District
  • Circuit Schools Teachers Pupils
  • Buffalo Flats 20 342 12 261
  • Normandien 38 392 14 081
  • Osizweni East 23 475 18 229
  • Osizweni West 14 307 11 321
  • Total 95 1 516 55 892
  • Dannhauser District
  • as of Region 12 16 15

Snap 2001 figures, KZNDEC EMIS Unit
21
Profile of Dannhauser District
  • Circuit Schools Teachers Pupils
  • Buffalo Flats 20 342 12 261
  • Normandien 38 392 14 081
  • Osizweni East 23 475 18 229
  • Osizweni West 14 307 11 321
  • Total 95 1 516 55 892
  • Dannhauser District
  • as of Region 12 16 15

Snap 2001 figures, KZNDEC EMIS Unit
22
Return Rate of Forms
Focus on the 32 schools which submitted for the
period Feb to Nov
23
Pupil enrolment
  • Enrolment fluctuated significantly over the
    period
  • February 13 177 pupils
  • March peaked with 13 219 pupils
  • November12 910 pupils
  • A net cumulative decline of 2.2, equivalent to
    an annualized decline of 2.6

24
Change in enrolment figures
Net decline 2.2 over the period Annualised
2.6 decline
-21
-29
-13
-33
42
-35
-103
-43
-32
25
Absenteeism Rates
  • Absenteeism rates for pupils and teachers
    followed similar trends
  • Absenteeism rates peak in July and for teachers
    in October too
  • The net effect of educator absenteeism and leave
    was a loss of 7 of available contact time over
    the period

26
Absenteeism rates days lost as of available
time
27
Loss of contact time - teachers
Annualised loss of 8.4 time
28
Pupil attrition or drop-out
  • Over the 10 month period 517 pupils left school
  • More female pupils (51) left that males
  • Reason for loss
  • Drop-out (49)
  • Unknown reason (21)
  • Pregnancy was responsible for 5 of the total
    loss.
  • 26 pupils (5) cited orphaning
  • 3 loss due to death
  • 1loss indicated due to financial stress

29
Pupils that left the system
13 177 pupils in Feb 4 cumulative loss 5
annualised loss
30
Reported reasons for pupils leaving the system
31
Teacher attrition
  • Of the 371 teachers in the sample in February, 16
    left their school posts by end of November
  • Annualized rate of 5.1 loss
  • Reasons cited
  • Promotion 44
  • Leaving the ministry 13
  • Other 36 (includes illness and death)

32
Cumulative loss of teachers
371 teachers in Feb 4.3 cumulative loss
5 annualised loss
33
Teachers loss from the system, indicating reason
34
Teacher and pupil loss to the system
35
Number of pupils orphaned -reported month by
month
Schools 32 Enrolment 13 177 Annualised 1.5
36
Number of new orphans reported - cumulatively
37
Orphans at one school
Enrolment 684 Additional Orphans 13 School
leavers 29
38
School Fee exemptions
  • Useful indicator of economic impact
  • 3 categories of exemption provided
  • Full doubled to 203 granted
  • Partial trebled to 79 granted
  • Conditional grew from 0 to 37 granted
  • There is a correlation when comparing fee
    exemptions to the incidence of orphaning

39
Number of Orphans, Normandien Schools
Ladysmith Region
Urban Areas
Towns
No orphans
1 orphan
2 13 orphans
More than13 orphans
40
Cummulative number of school feeexemptions
granted, by category
41
Fee exemptions in relation to number of reported
orphans
42
School Governing Body Resignations
43
Data utilization
44
Data utilization illustrative examples
  • Strengthen links between the district office and
    schools district officials more empowered
  • Improved reporting on schools
  • more detail available, more complete picture
    sketched and tracking of changes within the
    academic year
  • Improving quality of data strengthening EMIS,
    information utilization and reporting
  • Tracking policy implementation
  • Prioritizing interventions and targeting
    programmes of intervention
  • Feedback to schools and sharing of information
    with regional office
  • Monitoring impact of HIV/AIDS on schools

45
Lessons Learnt
46
The Lessons
  • Confirms it is possible to identify and collect
    school-level indicators and analyse these at the
    district level
  • Confirms that a time series of monthly returns
    can provide unprecedented insights into impact
    and trends
  • Shows trends previously unseen in annual school
    census data and analysis
  • Confirms HIV/AIDS is exacerbating existing levels
    of dysfunction
  • Impact appears lower than some projections
    perhaps due to sample but confirms upward
    trends.

47
The Lessons (2)
  • Proves viability of systematising routine
    data/indicator collection to inform local level
    management response
  • Provides basis for regular monitoring and early
    warning of HIV/AIDS impact and generation of
    HIV/AIDS specific indicators
  • Pilot results suggest that DEMMIS provides an
    effective, complementary method of collecting and
    analysing key HIV/AIDS indicators
  • Alerts local officials to the relevance and
    importance of education data strengthens EMIS
    and informed decision making.

48
Conclusions
  • HIV/AIDS is a management issue and impact on
    every aspect of education system management
  • In order to manage and mitigate we need to be
    able to regularly measure and evaluate the
    situation
  • This can be achieved through the collection of
    simple, available indictors using existing
    structures and personnel
  • Monthly analysis empowers management reporting
    and focuses response and promotes HIV/AIDS
    awareness at all levels.
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