Poverty and Human Development Report 2009 - UNDP in Tanzania

Colleges in providing locally relevant skills, despite being under the auspices of a different
ministry, also needs to be captured. With respect to the tertiary sector, the indicator in
the MKUKUTA Monitoring Master Plan is the gross enrolment rate, but data are not yet
available to calculate the rate. Neither is it possible to disaggregate by full-time, part-time
and distance learning students, as required by the Master Plan.
ii) A wider range of indicators to assess the quality of education is required – current indicators
for completion rates, examination pass rates and teacher qualifications can all increase
without necessarily improving the uptake of skills and competencies of school leavers.
iii) Questions asked in routine administrative data about reasons why children drop-out of
school do not provide sufficient information, including gender-sensitive information, to
inform initiatives to keep children in school. The option of ‘truancy’ as reason for drop-out
needs to be replaced with a menu of different reasons for truancy.
iv) Greater congruence between routine and survey data on issues of enrolment / attendance
/ drop-out would generate better trend evidence.
v) Indicators to link planning, budgeting and performance would be extremely valuable to
decide future resource allocations. Results from public expenditure reviews and public
expenditure tracking processes could form the evidence base for these indicators.
Health
The following recommendations are made to strengthen the Monitoring System for health:
i)
Health-related indicators need to be harmonised between the new Health Sector Strategic
Plan (III) and the national indicator set for the next phase of MKUKUTA.
ii) The capacity of the Health Management Information System (HMIS) needs to be improved
to ensure reliable, timely, annual, service-based statistics are produced. An operational
plan and budget has been developed and approved. Implementation is expected to start
in late 2009 and will take three years.
iii)
CLUSTER II- CONCLUSIONS AND POLICY IMPLICATIONS
A sentinel panel of districts should be established to supplement and verify HMIS data.
iv) The (multiple) commissioned health surveys need to be rationalised and coordinated to
avoid duplication of data collection. All surveys require quality-assured sampling designs
to ensure that reliable data are produced to enable comparison with major populationbased
surveys, such as the TDHS.
v) HIV care and treatment targets need to be revised, and an effective means of tracking the
number of persons currently on treatment should be put in place following recommendations
from a recent review of the HIV information system
vi) The tracking and analysis of indicators at sub-national level needs to be upgraded to
enable planning and performance monitoring at local and health facility level.
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