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Monitoring and Evaluation of Malaria in
Pregnancy Programs

Reena Sethi
May 2, 2012
Why M&E is important

 Improve program implementation
   Data used to track program progress and
    implementation
   Improve program management and decision making
   Provide data for understanding future resource needs
 Provide data to stakeholders (including funders)
  on program
   Allow accountability for program
   Advocacy



                                                           2
WHO recommended indicators for M&E of
          MIP programs




                                        3
Output Indicators

1.   Percentage of antenatal clinic staff trained in control of malaria
     during pregnancy in the past 12 months (including
     IPT, counseling on ITN use and case management for
     pregnancy women).

2.   Percentage of health facilities reporting stock-out of the
     recommended drug for IPT in the past month.




                                                                          4
Outcome Indicators

3.   Percentage of pregnant
     women attending
     antenatal care who
     receive IPT under direct
     observation (first
     dose, second dose, third
     dose).

4.   Percentage of pregnant
     women who report having
     slept under an ITN the
                                Benguela Province, Angola
     previous night.


                                                            5
Impact Indicators


5. Percentage of low birth-weight singleton live
   births (< 2500 g), by parity.

6. Percentage of screened pregnant women with
   severe anaemia (haemoglobin 7 g/dl) in third
   trimester 7, by gravidity.




                                                   6
Data Sources

   Health Management Information System (HMIS)
   Health facility surveys
   Health facility sentinel sites
   Community surveys
   Document reviews
   Key informant interviews and FGDs
   Household surveys
   Community health worker registers/tally sheets

                                                     7
Key Dimensions of Data Quality

   Accuracy
   Reliability
   Precision
   Completeness
   Timeliness
   Integrity
   Confidentiality
    Source: MEASURE Evaluation Data Quality Audit Tool




                                                         8
How to Assess Data Quality

 Visual scanning, i.e. looking at
  registers, summaries, forms and printouts
 More formal tools
       M&E Systems Strengthening Tool
       On-site data verification
       Data quality assessment or audit



Tools available at http://www.cpc.unc.edu/measure




                                                    9
M&E of MIP at the Community Level

 Communities play an important role in
  encouraging use of IPTp, ITNs and ANC and in
  M&E
 Assemble an M&E team drawing from the
  Community Mobilization Team and other key
  community stakeholders, led by a person with
  M&E expertise
 Select indicators that are simple to collect and
  understood by the community; can be a subset of
  indicators discussed earlier
                                                     10
M&E of MIP at the Community Level

 Design an M&E plan including:
  indicators, baseline values and
  targets, responsible persons, data-based
  decision making process
 Implement M&E plan and share the results and
  proposed changes with the community, soliciting
  their feedback, prior to making any program
  changes



                                                    11
To Summarize


       A strong M&E system
        should be a core
        component of all MIP
        programs
       Evaluations should be
        conducted for better
        understanding of
        process/outcomes/
        impact
        http://www.pmi.gov/technical/mne/index.html



                                                      12
Next Steps

 Use of mobile technology to
  track MIP interventions?
    Community health
      workers
    Commodities
    Referrals
    Promote correct use of
      nets
 Electronic databases to track
  commodities (ITNs, IPTp)
 Other new or innovative         USAID | DELIVER PROJECT staff in Zambia use cell phones to
                                  collect data for malaria commodities. Photo courtesy of
  ideas?                          Photoshare.




                                                                                               13

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Malaria in Pregnancy-Strengthening Health Systems to Improve Outcomes for MIP_Sethi_5.2.12

  • 1. Monitoring and Evaluation of Malaria in Pregnancy Programs Reena Sethi May 2, 2012
  • 2. Why M&E is important  Improve program implementation  Data used to track program progress and implementation  Improve program management and decision making  Provide data for understanding future resource needs  Provide data to stakeholders (including funders) on program  Allow accountability for program  Advocacy 2
  • 3. WHO recommended indicators for M&E of MIP programs 3
  • 4. Output Indicators 1. Percentage of antenatal clinic staff trained in control of malaria during pregnancy in the past 12 months (including IPT, counseling on ITN use and case management for pregnancy women). 2. Percentage of health facilities reporting stock-out of the recommended drug for IPT in the past month. 4
  • 5. Outcome Indicators 3. Percentage of pregnant women attending antenatal care who receive IPT under direct observation (first dose, second dose, third dose). 4. Percentage of pregnant women who report having slept under an ITN the Benguela Province, Angola previous night. 5
  • 6. Impact Indicators 5. Percentage of low birth-weight singleton live births (< 2500 g), by parity. 6. Percentage of screened pregnant women with severe anaemia (haemoglobin 7 g/dl) in third trimester 7, by gravidity. 6
  • 7. Data Sources  Health Management Information System (HMIS)  Health facility surveys  Health facility sentinel sites  Community surveys  Document reviews  Key informant interviews and FGDs  Household surveys  Community health worker registers/tally sheets 7
  • 8. Key Dimensions of Data Quality  Accuracy  Reliability  Precision  Completeness  Timeliness  Integrity  Confidentiality Source: MEASURE Evaluation Data Quality Audit Tool 8
  • 9. How to Assess Data Quality  Visual scanning, i.e. looking at registers, summaries, forms and printouts  More formal tools  M&E Systems Strengthening Tool  On-site data verification  Data quality assessment or audit Tools available at http://www.cpc.unc.edu/measure 9
  • 10. M&E of MIP at the Community Level  Communities play an important role in encouraging use of IPTp, ITNs and ANC and in M&E  Assemble an M&E team drawing from the Community Mobilization Team and other key community stakeholders, led by a person with M&E expertise  Select indicators that are simple to collect and understood by the community; can be a subset of indicators discussed earlier 10
  • 11. M&E of MIP at the Community Level  Design an M&E plan including: indicators, baseline values and targets, responsible persons, data-based decision making process  Implement M&E plan and share the results and proposed changes with the community, soliciting their feedback, prior to making any program changes 11
  • 12. To Summarize  A strong M&E system should be a core component of all MIP programs  Evaluations should be conducted for better understanding of process/outcomes/ impact http://www.pmi.gov/technical/mne/index.html 12
  • 13. Next Steps  Use of mobile technology to track MIP interventions?  Community health workers  Commodities  Referrals  Promote correct use of nets  Electronic databases to track commodities (ITNs, IPTp)  Other new or innovative USAID | DELIVER PROJECT staff in Zambia use cell phones to collect data for malaria commodities. Photo courtesy of ideas? Photoshare. 13