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Promoting Methods for Using HIV/AIDS and Health Information for Decision Making

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Presented at the Nigeria MEASURE Evaluation End-of-Phase-III Event in June 2014.

Presented at the Nigeria MEASURE Evaluation End-of-Phase-III Event in June 2014.

Published in: Education, Health & Medicine
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  • You may want to explain a bit more about what you mean in this last bullet.
  • List the ‘other health-related agencies’
  • Explain in the presentation what the tool does:
    Assessment of Constraints to Data Use: Assessing the current situation of data use to identify capacity building and technical assistance areas
    Data Flow and Information Use Map: Provides a visual of the information system to allow the user to identify potential challenges and opportunities to information flow
    Stakeholder Engagement: Applies a systematic process to identify and engage the appropriate stakeholders for the data gathering or use activity. The tool assists in identifying and analyzing stakeholder needs, interests, and influences.
  • Performance of Routine Information Systems Management (PRISM) tools: PRISM is a set of four tools to assess the quality and use of routine health data.
    Framework for Linking Data with Action: This tool helps recognize and prioritize decision making by establishing a systematic process for evidence-based decision making by identifying: (i) questions that need to be answered, (ii) decisions that must be made, (iii) data needed to answer the questions, (iv) stakeholders that need to be involved in the process, and (v) date that the decisions need to be made.
    Include description of DDU coaching guide.
  • Put slide that shows breaks down who was coached during Phase 3 here
  • Establishment of M&E Unit:
    2011 DDU training sparked awareness for the need for M&E unit in Kano state Ministry of Women Affairs and Social Development; which led to approval and inclusion of establishing an M&E unit in the budget. Starting with one staff person, the M&E unit currently has three additional staff.
    System strengthened due to data review:
    Local Government Areas (LGA) M&E Review meeting was initiated by Primary Health Care Management Board, which prompted statewide monthly and quarterly M&E meetings.
    WHERE?
  • Put slide that shows breaks down who was coached during Phase 3 here
  • Decision made due to data sharing:
    During LGA M&E meetings, facility-level data are reviewed and challenges are discussed. Data sharing informs decision makers to visit affected LGAs to assess these challenges and implement interventions.
    Addressing Human Resource Gap in Murtala Mohammed Specialist Hospital Kano:
    SACA prevention of mother-to-child transmission (PMTCT) focal person Mandated to provide support for two days per week on antenatal (ANC) clinic days to address lack of HCT provision on clinic days due to non-reporting of originally deployed staff.
  • Also engage Nigerian Universities with in-service capacity building efforts.
    I list potential topics, but could be more after assess capacity needs.
  • It is necessary that State and LGA health agencies are given opportunities to provide constructive inputs into the design of the M&E system so that they are confident in providing data to a national system that serves their information needs. Direct service providers are in the best position to gauge the value of collected data, and whether data collection methods accurately reflect day-to-day health issues.
  • Transcript

    • 1. Promoting Methods for Using HIV/AIDS and Health Information for Decision Making End-of-Phase III Dissemination Meeting Sheraton Hotel & Towers June 18, 2014 Tessy Ochu and Mercy Morka
    • 2. Background Nigeria is committed to a strong health information system (HIS) as an integral part of the healthcare infrastructure:  Functional M&E system is necessary to generate quality health data;  Use of M&E data is essential to maintain effective service delivery, workforce, and leadership within the health system.
    • 3. Challenges in Nigeria  Limited skilled human resources;  Inadequate use of information by program sites and facilities;  Generally under-funded M&E systems and activities; and  Parallel M&E systems (e.g., tools, database, training curricula, information flow, and reporting) used by partners that are not compatible or linked with National data system: NNRIMS
    • 4. Project Aim Support Nigeria’s commitment to strengthening the Health Information System (HIS): Technical assistance and training on how to increase demand for quality data and facilitate use of information. Link health information at all levels, program managers, implementers, and decision makers to improved services
    • 5. Project Objectives  Strengthen knowledge and capacity of national, state, and local governments; sites and facilities; and implementing partners  Increase demand for quality data and facilitate information use for program improvement, policy- related decision making, and promote a data use culture.  Leverage existing relationships to champion new approaches that can overcome data use challenges.
    • 6. Target Groups  Ministry of Health (MOH),  State Agencies for the Control of AIDS (SACA),  and other health-related agencies at the national level and in its three states of operation (Anambra, Kano and Lagos) to increase DDU.
    • 7. Strategies  Conducted participatory assessments to identify barriers to data use; plan solutions; and develop action joint plans to strengthen DDU within organizations.  Conducted DDU/M&E training workshops for health professionals in target agencies
    • 8. Strategies contd.  Collaborated with partners to apply MEASURE Evaluation DDU tools: • Assessment of Constraints to Data Use • Data Flow and Information Use Map • Stakeholder Engagement
    • 9. Strategies contd. Data Demand and Use Tools  Performance of Routine Information Systems Management  Framework for Linking Data with Action  Data Demand and Use Coaching Guide
    • 10. Strategies contd.  Provided ongoing coaching to health professional teams from targeted agencies  Documented evidence of data use in decision- making among partners  Advised on DDU intervention strategies to enhance data-informed decision making at the state and organizational levels
    • 11. Accomplishments  Trained 55 people at a national level training in 2010  Trained 97 persons across 3 (Kano, Lagos & Anambra) states  Coaching sessions strengthened collaboration among partners  Contributed to establishment of M&E Unit in Kano State Ministry of Women’s Affairs and Social Development
    • 12. Accomplishments contd.  Strengthened Local Government Area M&E systems with regular data review sessions  Advocacy for data reviews led to additional funding for local data review meetings in Ikeja.  Greater local political support for Primary Health Care Center services in Ikeja and Ekpe
    • 13. Accomplishments contd. Role in establishment of National HIV/AIDS Resource Center at NACA. Served as a member of the NHRC Steering committee which led and coordinated the establishment of the NHRC Supported the development of the NHRC Operations manual
    • 14. Accomplishments contd.  Data sharing led to decision maker visits to affected Local Government Areas  Addressed Human Resource gaps in Murtala Mohammed Specialist Hospital in Kano.
    • 15. Future Data Use Needs  Develop joint-capacity building plans integrated with annual work plans for State/Local agencies  Provide collaborative capacity building of M&E professionals based on health program needs:  Data analysis  Communication strategy  Advocacy and engagement with data users
    • 16. Future Data Use Needs  Promote State and Local ownership of National data systems.  Advocate for resources to implement data- informed decisions at the State and Local level.  Facilitate National and State-level collaborations to promote improved health data system policy and a data use culture
    • 17. THANK YOU!
    • 18. MEASURE Evaluation is a MEASURE project funded by the U.S. Agency for International Development and implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill in partnership with Futures Group International, ICF Macro, John Snow, Inc., Management Sciences for Health, and Tulane University. Views expressed in this presentation do not necessarily reflect the views of USAID or the U.S. Government. MEASURE Evaluation is the USAID Global Health Bureau's primary vehicle for supporting improvements in monitoring and evaluation in population, health and nutrition worldwide. Visit us online at http://www.cpc.unc.edu/measure

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