Monitoring and Evaluation: Malaria-Control Programs.
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Transcript of Monitoring and Evaluation: Malaria-Control Programs.
Monitoring and Evaluation: Malaria-Control Programs
Learning Objectives
By the end of this session, participants will be able to:
• Realize why malaria is important
• Describe a conceptual framework for malaria
• Describe Roll Back Malaria technical strategies
• Design an M&E framework for national-level malaria-control programs
• Identify core population coverage indicators of the RBM strategy & recognize their strengths & limitations
Content Outline
1. Introduction
2. Current situation of malaria control
3. Conceptual framework for malaria control
4. RBM-control strategies
5. International and regional targets
6. Results and logical frameworks for malaria
7. Level and function of M&E indicators
8. M&E indicators for malaria
9. Strengths and limitations of indicators
Why is Malaria Important?Problem Statement
• 300-500 million cases and >1 million deaths annually
• Malaria during pregnancy in malaria-endemic settings
may account for:
• 2-15% of maternal anemia
• 5-14% of low birth-weight newborns
• 30% of “preventable” low birth-weight newborns
• 3-5% of newborn deaths
• Malaria accounts for one in five of all childhood deaths in Africa every year.
• Malaria epidemic causes >12 million malaria episodes & up to 310,000 deaths in Africa annually
• Drug resistance exacerbates the malaria problem
Introduction to MCP (1)
• Historical– 1950s Global malaria-eradication program– As a result, malaria was eradicated from many
countries– 1960s global eradication stopped
• Insecticide resistance• Drug resistance• Poor infrastructure, particularly in Africa
– Eradication program changed to malaria control– During 1970s and 1980s malaria received little
attention
Introduction to MCP (2)
• Current situation
– Malaria reemerged as a major international health
issue in the 1990s
– Global malaria control strategy adopted in 1992
– Roll Back Malaria 1998
– Abuja Declaration 2000
– Strong political commitment and partnership
Malaria mortality
Treatment:Early diagnosis& treatment
Health care system: Accessibility Affordability Quality of care Efficiency Demand/utilization
Program factors:• Health policy• Anti-malarial drug policy• Support/partnership• National MCP
Malaria knowledge:• Cause• Prevention methods• Early treatment• Cultural beliefs• Information
Prevention:• ITNs, IRS, IPT• Environmental mgt
External factors:• Environmental (ecological, climate)• Socio-economic (economic status, movement, occupation, housing condition, war, population displacement, etc)• Demographic ( age, immunity, gender)
Malaria infection
Malaria morbidity
Conceptual Framework (MCP)
Roll Back Malaria
• Partnership launched in 1998
to fight malaria
• WHO, UNDP, UNICEF and WB
• Mainly focuses on Africa
• Goal:
– Halve the burden of malaria by 2010
Millennium Development Goals
• Target 8: Have halted and begun to reverse the incidence of malaria and other major diseases by 2015
• Indicator 21. Prevalence and death rates associated with malaria
• Indicator 22. Proportion of population in malaria-risk areas using effective malaria prevention and treatment measures
African Summit on RBM
• Abuja summit 2000
• 44 heads of state or senior representatives from malaria-afflicted countries in Africa
• Endorsed the goal of RBM • Reflected high political commitment
Abuja Targets: By 2005
• At least 60% of those suffering from malaria should be able to access and use correct, affordable, and appropriate treatment within 24 hours of the onset of symptoms
• At least 60% of those at risk of malaria, particularly pregnant women and children under five years of age, should benefit from suitable personal and community protective measures such as ITNs
• At least 60% of all pregnant women who are at risk of malaria, especially those in their first pregnancies should receive IPT
RBM Strategies
1. Use of ITNs and other locally approved means of vector control
Children <5 (and pregnant women)
2. Prompt access to effective treatment Children <5
3. Prevention and control of malaria in pregnancy
Intermittent preventive treatment (IPT) & ITNs
4. Early detection of and response to malaria epidemics
Roll Back Malaria M&E• Extensive & systematic M&E relatively new
for national malaria control programs• M&E reference group (MERG) established• Objectives of national RBM M&E system
– Collect, process, analyze, and report malaria-relevant information
– Verify whether activities implemented as planned
– Provide feedback to relevant authorities– Document periodically whether planned
strategies have achieved expected outcomes & impact
Basic Malaria M&E Framework
Inputs Policies, guidelines, strategies for malaria control at national level; human resources; financing & disbursements
Processes Malaria-related commodity procurement (ACT, ITN); training; BCC
Outputs Services delivered (insecticides; drug-efficacy studies; ITNs sold, distributed; nets retreated; anti-malarial drugs distributed, etc.)
Outcomes Changed behaviors and coverage (anti-malarial treatment of children < 5; HH ITN possession & usage; IPT use by pregnant women; malaria epidemics detected & controlled
Impact Malaria-associated morbidity and mortality (childhood anemia; proportional outpatient; health facility visits, admissions, deaths due to malaria, etc.)
M&E Priorities in Limited Resource Settings
• Human & financial inputs
• Malaria control services delivered to those at risk of malaria
• Coverage of interventions
• Malaria-associated morbidity & mortality
SO1: Reduced Malaria Burden
IR1: Improved malaria prevention
IR2: Improved malariaepidemic prevention & management
IR3: Increased accessto early diagnosis & prompt treatment of malaria
IR3.1 Quality ofcare improved
IR3.2 Efficiency in service delivery improved
IR3.3 Utilization of care improved
IR1.1 Access to & coverage by ITNs increased
IR1.2 Improved access to IPT
IR1.3 IRS coverage increased in Epidemic-prone areas
IR1.4 Use of source reduction/ larvicidingincreased
IR2.1 Early detection & appropriate response
improved
IR2.3 Surveillance system improved
IR2.2 Epidemic preparedness improved
IR2.4 Early warning system strengthened
Results Frameworks (MCP)
IR3.4 Access to services improved
Logical Framework (MCP)
Performance indicators
Means of verification
Assumptions
Goal: Reduced malaria morbidity and mortality. • Malaria incidence and
prevalence rates
• Annual reports• Surveys• DSS (INDEPTH)• DHS
• Strong financial
support• Malaria control
capacity increased
Purpose: Strong and sustainable malaria prevention and control strategies to reduce morbidity and mortality will be implemented
• Coverage of control
interventions
• Annual reports• Surveys• Record reviews
• Problem of drug resistance will be reduced through effective and affordable drugs
Objectives:
1. Reduce malaria mortality
by 50% by the year 2010
2. Reduce malaria
morbidity by 50% by 2010
3. Reduce mortality due to
malaria epidemics by 50%
by 2010
• Malaria case-fatality rate• General crude death rate• Annual parasite incidence• # of cases of severe
malaria among target
groups• Malaria-specific death
rate
• Routine HIS• DSS • DHS• Health facility
surveys• Community
surveys
• Strong HIS• Availability and use
of DSS• Effective and
affordable drugs
available• Sustainable funding
and partnership
Logical Framework (MCP)
Performance indicators Means of verification
Assumptions
Outcome: Access to and utilization of ITNs increased
• % of households with at
least one ITN• % of under-5 who slept
under ITN the previous
night• % of pregnant women
slept under ITN the
previous night
•Community
surveys
• Availability of ITNs• Subsidies for ITNs• High community awareness and acceptance of ITN
Output: •Distribution of mosquito nets to the target population will be
improved• District health workers will be
trained for implementation of
ITNs strategy• Social marketing strengthened
• # of ITNs distributed to the
target population• # of health workers trained
on ITNs• # of CHWs trained
• Reports• Review document
• Fund available
InputIndicators
ProcessIndicators
OutputIndicators
Outcome Indicators
ImpactIndicators
Indicators for monitoring the performance of malaria programs / interventions,
measured at the program level
Indicators for evaluating results of malaria programs / interventions, measured at the population level
Core population coverage indicators for RBM
Level and function of M&E indicators
RBM Core Coverage Indicators
RBM Technical StrategiesRBM outcome indicators of
population coverage
Vector control- ITNs
1. % of households with at least one ITN
2. % of children <5 who slept under an ITN the previous night
Prompt access to effective treatment
3. % of children <5 with fever in last 2 weeks who received antimalarial treatment according to national policy within 24 hours of onset of fever
Prevention and control of malaria in pregnant women
4. % of pregnant women who slept under an ITN the previous night
5. % of women who received IPT for malaria during their last pregnancy
M&E Challenges of National MCPs: Measuring Impact
• Not routinely required…technical strategies already proven efficacious for these indicators of impact, so coverage should suffice
• debatable
• Requires rigorous experimental design
• Technical strategies intended to be full-coverage programs
• Costly
M&E Challenges of National MCPs
• Measuring malaria-specific morbidity & mortality
• Case definitions• Variations in completeness of reporting over
time and space• Selectivity• Time frame of survey estimates• Low coverage & quality of vital registration
M&E Challenges: Complexity of Malaria Epidemiology
• Not a linear relationship between transmission (immunity) and malaria-related mortality
• Severity and symptomology of malaria morbidity shifts with transmission (immunity)
• High transmission = chronic infections, severe anemia• Low transmission = higher life-threatening severe malaria
• Coverage is primary outcome indicator for national- level MCP
Class Activity
Malaria is the most frequent cause of morbidity and mortality in Malawian children under five years of age, and is the cause of over 40% of deaths in children under two. Children under five suffer on average 9.7 malaria episodes per year, while adults suffer 6.1 such episodes (Ettling et al., 1994a). The cost of malaria to the average Malawian household has been estimated to be 7.2% of average household income. PSI/Malawi is reducing malarial disease and death by increasing ownership and appropriate use of ITNs.
Q. Describe the various components of the PSI program that need to be monitored?
References
• World Health Organization and UNICEF. 2005. World Malaria Report 2005. Geneva: WHO.