Communication Workshop: Transforming data

Communication Workshop: Transforming data

• 1.
  Transforming data into informationand evidence Communication Workshop
• 2.
  HMN cycle ofdata generation, knowledge brokering and use of evidence
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  Evidence • Context-free – What works in general – Overall ‘potential’ of something – Clinical efficacy or biomedical research • Context-sensitive – Evidence in an operational setting – Theory meets reality • Colloquial – Expert opinion – First-hand experience – Story-telling
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  Types of evidence– different users • Policy makers – Outcomes, impact • Health planners and managers – What can be operationalised and monitored • Scientists – What is conceptually sound • Care providers – What works or doesn’t work in hospitals; what will improve patient care • Donors – Monitoring and evaluation, value for money
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  Types of evidence– different purposes • Advocacy – Draw attention to a specific problem • Levels and trends – Show how big the problems are and who they affect • Determinants – Show what causes the problem • Diagnosis – Identify potential solutions • Progress – Plan, carry out and assess actions to reduce these problems
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  How do wetranslate data into information and evidence? • The challenge is not just to produce health information • Need to act as ‘knowledge brokers’ facilitating the translation of data to policy and programming • Two key steps – Analysis and interpretation – Communication and dissemination
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  What helps turndata into information? Comparisons • Countries • Regions • Internally – location, gender, ethnicity • How to summarise country position – Ranking – Percentile – Standard deviations from the mean – Position compared with country mean or median – Benchmarking: comparing with good performers
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  Comparisons with theworld Under-five mortality
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  Comparisons with thePacific Under-five mortality
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  Comparisons within andbetween countries Infant mortality rate Source: Commonwealth Fund National Scorecard on US Health System Performance, 2008
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  Comparisons within internalregions Source: Commonwealth Fund National Scorecard on US Health System Performance, 2008
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  Performance assessment ‘Putting it all together’ • Identifying contextual changes – Demographic, economic, social and political factors • Progress assessment – Compared to targets – Compared to peers • Equity analysis – Trends in equity gaps by key stratifiers • Efficiency analysis – Results by inputs • Performance = summarising and interpreting the results
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  Why communicate? • Informand educate • Create a culture of data use • Improve health policy • Improve health service provision • Achieve better health outcomes • Information systems aren’t just about data generation! • Access and use are integral parts of strengthening • Connect data production with use
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  What helps communication? •Personal contact • Timeliness and relevance • Summary and recommendations • Good quality • Confirmed current policy or endorsed self- interest • Community pressure or demand – People need to understand why data is important before they will demand it
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  Knowledge management Where arewe now? • Types of knowledge being produced • Outputs created • Barriers and promoters Where do we want to be? • Benefits from knowledge management • Measuring success How do we get there? • Developing an action plan • People, processes, technology
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  Group work Mapping theflow of data and information 30 minutes
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  Brainstorm 5 minutes Agencies who give you data People who Data you give you have to look data for yourself Your unit or department
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  Brainstorm 5 minutes People you give People and agencies who receive information to Your unit information Agencies you or give information to department People/agencies who request information
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  Complete the table 15 minutes Communic- Objectives Audience Message Channels ation products What do you Who is the key What is the How do you want this to audience? message? promote and achieve? Are there Is it the same disseminate others? for all your work? audiences? Annual report Policy Briefs Others..
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  Further reading The knowledge Translation Toolkit provides a thorough overview of what knowledge translation is and how to use it to bridge the ‘know-do’ gap between research, policy, practice, and people. It presents the theories, tools, and strategies required to encourage and enable evidence- informed decision-making. The Toolkit can be viewed online at http://www.idrc.ca/EN/Resources/Publicatio ns/Pages/IDRCBookDetails.aspx?PublicationI D=851