1 / 45

Facilitating Use of Strategic Information

Facilitating Use of Strategic Information. Outline. Creating Data Demand and Use Analyzing and reporting results according to the target audience Data-utilization strategies Tools for facilitating use of M&E results for policy and program development. Information for Decision Making.

markku
Download Presentation

Facilitating Use of Strategic Information

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Facilitating Use of Strategic Information

  2. Outline • Creating Data Demand and Use • Analyzing and reporting results according to the target audience • Data-utilization strategies • Tools for facilitating use of M&E results for policy and program development

  3. Information for Decision Making • Information must be based on quality data in order to be useful • Information must be communicated effectively in order to be useful • Information must be used to be good M&E

  4. Information Needs • Different for different stakeholders • view activities from different perspectives • have different degrees of understanding of the program • need different information • want different information • need/want information at different levels of complexity • have different intensities of interest

  5. Rationale for Data Demand and Utilization • Central to achieving evidence-based decisions are: • Increasing user demand for quality information • Increasing availability of data and analysis methods • Increasing use of data and analysis methods

  6. Components of Strategic Information Designing & Implementing Intervention Measuring Outcome and Impact Identifying Needs

  7. The Big Picture –improved health outcomes

  8. Demand for Information Systems Approach Technical Approach Individual Behavior

  9. Organizational Approach Technical Approach Individual Behavior Data Demand and Use Political, Economic, Cultural, Social Environment Use of data, analyses, and other information for decision makingoccurs within a political context

  10. Information for Decision Making What information? Why? Who else? Decision makers Decisions How?

  11. Systems Approach to DDU • Look at: • Current practices • Organizational incentives and culture • Individual attitudes and motivation • Develop a Data Demand and Use Profile: • specify decision makers at various levels • data needed to make decisions • timing of data requirements • the format for data presentation

  12. Technical Approach Technical resources for transforming data into information • Data sources • Tools for data collection • Methodologies

  13. Analyzing M & E Data

  14. Focus on the main information the M&E data need to provide? • Process: • Was the program carried out as planned? • How well was it carried out? • Results: • Did the expected change occur? • How much change occurred? • Impact: • Is the change attributable to the program? • Does the change mean program “success”?

  15. Increase availability of data • Explain indicators • design • interpretation • significance • meaning of changes in value • Explain data • collection processes • calculation processes • quality

  16. Explain Changes • Meaning of changes in indicator values – what can explain the change • What other information should M&E communicate to help use this indicator to make program decisions?

  17. Explaining Contradictory Data and Results • Results from various data sources – are the sources providing complimentary information? • immunization rates for DPT-3 in children are very different between official government HMIS figures versus survey with verification of children’s immunization cards • Results at various times – are there unexpected changes over time?

  18. Clarify Analysis Steps • Data calculation processes • Percentage of population reporting any risky sexual behavior in last six months • Denominator could be (a) all; (b) all sexually active; (c) all within certain age groups; (d) all within defined “high risk” groups • Which calculation would you recommend? Why? What are key factors to consider? • How would you explain the significance and meaning of the different options to the program manager(s)?

  19. Data Quality • Data quality • a child-immunization survey, verifying with cards, provides data for several Child Survival indicators • you find out that the non-response rate on many key questions is 40 percent • What are the implications for data quality of this information? • How would you explain this to the program manager(s)? • What options could be recommended?

  20. Triangulation • “Short-hand term” for data synthesis and integrated data analysis for decision making • Originally coined by social scientists: basis for validity/truth/credibility • Process in which multiple data sources (quantitative or qualitative) are brought together and analyzed to better understand the same public health phenomenon

  21. Triangulation for HIV Programs Evaluation Core Consensus Indicators for all Initiatives Based on United Nations General Assembly Special Session (UNGASS) and Recent Meetings Input Process Output Outcome Impact Household Surveys, e.g. BSS Facility Surveys Coverage Surveys Programme Monitoring HIV/STI Surveillance Patients’ tracking/ARV resistance surveillance Second-Generation HIV Surveillance Reproductive Health Survey/ CDC, MICS/ UNICEF, MACRO/ DHS and AIDS Indicators Surveys, Service Availability Mapping (SAM), Health Facility Surveys (HSPA), Coverage Surveys HMIS in PEPFAR, CDC, MAP, GFATM

  22. Data Useand Communication

  23. Improve Data Use & Communication To increase use M&E Data must: • be manageable and timely • be presented according to the audience’s • interest • capacity to understand, analyze • time, competing demands on time • have transparent quality • focus on activities, results of interest • focus on meaning and direction for action

  24. Communicating M&E information Often hard to communicate, because: • Technical issues are important but boring • Decision makers are busy and distracted • Program managers have tunnel vision • Program implementers are too busy • Data experts/wizards have few communication skills • Communication experts/wizards have few data skills

  25. It’s complex! Support Services Quality assurance Information systems Resources Pharmacy Staff Care Process Supervision Triage Community input History Counseling Equipment and supplies Client Diagnostic services Examination Treatment Diagnosis Training and skills maintenance Financing Transport and communication Infrastructure Logistics Leadership and management

  26. Effective communication • Identify your audience and their needs. • Focus on what your audience needs to know, not what you know. • Consider your audience’s technical knowledge, motivations, and interests. Tailor the points accordingly. • Decide what you hope the audience will do as a result of the presentation. • Anticipate possible questions. • Make sure your message source is someone your audience trusts and respects.

  27. Desired Characteristics of Information • Needs to be simple • Needs to be timely • Needs to be compelling • Needs to be consistent with stakeholder values

  28. Tools for Facilitating Use of M&E Results for Policy and Program Development

  29. Types of Tools and Resources • Tools • printed documents • computer programs (often on CDs) • Internet-based applications • Methods/techniques resources include • analytical techniques • case studies and best practices • data resources

  30. Types of Tools • Policy Development • Program Development and Management • Technical Resources • Best Practices and Case Studies • HIV/AIDS Programs • Data Sources

  31. Simple Tool for Analysis

  32. Policy Development • The Policy Circle • ThePolicy Circle is a framework through which the dynamic components of policy development and implementation can be better understood and analyzed. • ThePolicy Circle is used to analyze different levels of policy, including national and local policies, and sectoral and operational policies.

  33. Program Development and Management • The Health Manager’s Toolkit TheHealth Manager's Toolkitis an electronic compendium of tools designed to assist health professionals at all levels of an organization to provide accessible high-quality and sustainable health services. The tools have been developed by organizations working throughout the world to improve the delivery of health services. http://erc.msh.org

  34. Technical Resources • REPROLINE: Reproductive Health Online Reproductive Health Online is an Internet resource for health-care professionals, providing technical information and training materials on the full range of reproductive-health topics, including family planning (contraceptive methods and other family planning topics), maternal and neonatal health, cervical cancer, and STDs. www.reproline.jhu.edu

  35. Technical Resources • IGWG: Gender Publications and Tools The Interagency Gender Working Group (IGWG) Gender Publications and Tools. The IGWG promotes gender equity within population, health, and nutrition programs with the goal of improving reproductive health/HIV/AIDS outcomes and fostering sustainable development. www.igwg.org/pubstools.htm

  36. Best Practices and Case Studies • Advance Africa: Compendium of Best Practices The Compendium of Best Practicesis a searchable online database of best practices in reproductive health and family planning service delivery. It can be used by program managers who have identified gaps, needs, and opportunities in their programs. By reviewing the lessons learned from other practices, program managers can apply their own practices with greater confidence that they will lead to improved program performance. www.advanceafrica.org/compendium

  37. Best Practices and Case Studies • UNAIDS: Best Practice Collection The UNAIDS Best Practice Collection– hundreds of UNAIDS publications documenting successful approaches to particular HIV/AIDS problems and issues. www.unaids.org

  38. HIV/AIDS Programs • Synergy Project: APDIME Toolkit The Synergy Project APDIME Toolkitis a resource to support program designers and managers in HIV/AIDS prevention, care and support programming. Tools for Assessment, Planning, Design, Implementation Monitoring, and Evaluation are included. www.synergyaids.com

  39. HIV/AIDS Programs • HEARD: AIDS Toolkits The AIDS Toolkitsdeveloped by the Health Economics and HIV/AIDS Research Division, University of KwaZulu-Natalencompass a broad range of interventions for HIV/AIDS including assessment of the impact of AIDS on different sectors and ministries. www.nu.ac.za/heard/toolkits

  40. HIV/AIDS Programs • UNAIDS: M&E Toolkit for National AIDS Programs The Guide to Monitoring and Evaluationfor National AIDS Programs was developed by UNAIDS in collaboration with MEASURE Evaluation and many other partner organizations. It includes a toolkit providing guidelines and instruments for the development and use of indicators for all components of a national program. www.cpc.unc.edu/measure/publications/unaids-00.17e

  41. Data Sources • DHS: Statcompiler The Demographic and Health Surveys STATcompiler builds customized tables from hundreds of DHS+ surveys and indicators. The HIV/AIDS Survey Indicators Database includes data from DHS+, MICS, BSS, and other surveys. www.measuredhs.com

  42. Data Sources • U.S. Census Bureau International Data Base: The International Data Base (IDB) is a computerized data bank containing statistical tables of demographic and socio-economic data for 227 countries and areas of the world. www.census.gov/ipc/www/idbnew.html

  43. Data Sources • U.S. Census Bureau HIV/AIDS Surveillance Data Base: The HIV/AIDS Surveillance Data Base is a compilation of information from those studies appearing in the medical and scientific literature, presented at international conferences, and appearing in the press. www.census.gov/ipc/www/hivaidsd.html

  44. Data Sources About DOLPHN  The Data Online for Population, Health and Nutrition(DOLPHN) system is an online statistical data resource containing selected current and historical country-level demographic and health-indicator data. The DOLPHN system is designed to provide users with quick and easy access to frequently-used statistics and can be helpful as both a reference and analytical tool. www.phnip.com/dolphn

  45. We learn 1% through taste 2% through touch 3% through smell 11% through hearing 83% through seeing We remember 10% of what we read 20% of what we hear 30% of what we see 50% of what we see and hear Remember!!

More Related