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Partner Insights
FAO Risk Communication Seminar
Susan Mackay, Senior C4D Specialist (Health) UNICEF
“Business unusual”
AI - What was learned (or not!)

• Multiple KAP studies conducted between
  2006-2007 (Unicef research in at least 16
  countries)
• Different methodology and designs made it
  impossible to compare or generalize results
• Interesting insights for designing
  communication strategies, and general
  planning
• However insufficient qualitative or
  participatory research to help address the
  critical „WHY‟ question
What the KAPs showed

• High awareness but low understanding
  – High media coverage likely to be a significant
    factor
• Low level of knowledge about
  transmission (at best one or two modes of
  transmission) and many „incorrect‟ beliefs
Challenges

• Rural and less educated populations less
  knowledgeable and less aware
• Studies largely descriptive
  – Lacking plausible explanations for
    demographic variables or varying levels of
    knowledge about different forms of
    transmission
  – Lack of nuanced analysis unfortunate as
    would have been key to improving design
Impact

• Communication campaigns did contribute to
  increased awareness
• Knowledge (transmission, symptoms, methods of
  disposal, and prevention) increased after exposure
  or participation in communication interventions eg
  – Meetings and outreach activities increased perceptions
    of the seriousness of AI in Laos
  – Substantial knowledge increases recorded (transmission
    modes and prevention) between 2006 and 2007 in
    Thailand and Egypt
Significant knowledge-practice gap

 • Although awareness and knowledge of
   prevention and transmission behavioural
   change was much lower
   – Some actions (cooking and handwashing)
     easier to implement than others (biosecurity
     and reporting behaviours) – also linked to low
     perception of risk
   – Need for a much deeper understanding of
     social, economic and political barriers to
     change
Risk perception
• Even though awareness and understanding
  increased, risk perception and sense of urgency
  generally remained low
• However in urban areas sudden drops in
  consumption reported during outbreaks
   – Yet in rural areas consumption even increased
     suggesting low risk perception
• AI “only has relative importance”, “people are used
  to it”
• Lower risk perception than issues such as dengue,
  malaria, malnutrition, diarrheal diseases and
  limited access to sanitation
Challenges

• Studies identified variations in risk perception
  but did not (or were not sensitive enough) to
  investigate highs and lows
  – a better understanding of the drivers and timings
    of changing attitudes and behaviours is needed
  – more „dynamic‟, innovative approaches needed to
    tracking changing perceptions of risk
  – need to explore relationship with media coverage
    (animal and human cases) and of economic
    drivers
“… tools are still needed
to address the
challenges of
communicating in these
difficult circumstances.
These tools can be
developed by looking at
alternative paradigms of
risk that exist within the
social sciences.”
Abraham, T, Bull World Health Organ 2009;87:604–607
“Risk Society”
                                   Beck, Giddens etc



                                    Epidemic
                                    Psychology
“Psychometric                       Strong
paradigm”
Slovic et al.; Covello and
Sandman

            Social
            Amplification of            Culture, Risk and
            Risk                        Blame
                                         Douglas
            (See Murdoch et al.)
But how does this translate in
low resource settings?
Behaviours
            Reality check (1)
Studies showed that the four behaviours are
rarely practices in high risk communities in
„real life‟
But too much emphasis on „educating‟ rather
than finding the „locks‟ and „keys‟ to
behaviour change
  – Lack of link with „programme‟ and community
    developed solutions
Reality check 2
             Reality check (2)
“The idea that one should have to protect
oneself from one’s poultry is literally exotic”

“birds and humans have mingled for
generations without any negative impact as far
as they could see ….”

We must constantly work within peoples social,
cultural, political and economic realities.
Reality check 1
             Reality check (3)
“AI prevention and control faces formidable
obstacles, including disbelief in the existence of
the disease, lack of economic means to
implement recommended practices, and
distrust of the authorities and health services.

“It is important to distinguish between obstacles
that can be addressed through communication
alone, and those that need different and
complementary programme interventions””
If we were starting again …

• Much more emphasis on addressing
  attitudes, such as low risk perception and
  stigma around reporting
• Total integration with technical programming
  to reduce structural obstacles that discourage
  health practices (eg grant subsidies,
  economic aid to strengthen bio-security, as
  well as incentives to promote community
  surveillance and reporting)
Design shortcomings

• Not enough adjustment of the four key
  behaviours to local settings and realities –
  need for dialogue and consensus
• Initial outbreak responses were inevitably
  „general‟, but later interventions should
  have been more tightly focused and
  nuanced to address specific needs and
  concerns (or lack of!) in segmented high
  risk populations
Potential solutions




Participatory approaches to build local
perspectives into design of activities and
solutions
Lessons learned

• Too much emphasis on promoting the
  actual behaviour but not enough on
  „selling‟ the benefits and / or risks eg
  – Local beliefs
  – Social attitudes eg stigmatization
  – Agreeing feasible, low cost solutions
  – Encouraging self and collective efficacy
  – Credibility - understanding the context of trust
    in local authorities
Social determinants

• Interesting gender, religious and cultural
  insights, but in many cases the data was
  available only after the bulk of communication
  interventions had been designed or
  implemented eg
  – Women primary handlers of poultry and eggs
    spending more time with backyard poultry
  – Men involved in handling slaughter, and cock-fighting
    in particular countries
  – Particular ethnic and or religious practices
Some highlights




Innovative work with schools eg. Thailand,
Indonesia, Turkey
What worked
• High level advocacy with government officials and
  decision makers
• Training of print and broadcast journalists at
  national and subnational levels
• Training frontline workers and volunteers, rapid
  response teams and poultry farmers
• Orientation and training of government
  spokespersons, school teachers and community
  influencers
• Folk theatre and rural media
• TV and radio campaigns featuring public service
  announcements
Limitations

• Frantic pace of activities
  – Emergency response to outbreaks
  – Pressure from donors to implement quickly
    when more time was needed for participatory
    research, design and implementation
  – Lack of existing capacity at all levels

  We were aware of most (if not all) of the
  limitations at the time but limited capacity to
  change course!
Institutional context

• Level of government commitment, ownership and
  capacity varied
• Coordinating committees a problem in some areas
• Working relationships within and between
  agencies varied – where it was good generally the
  quality of work and impact was higher
   – These relationships work best where they are built in
     advance
• Participatory planning processes involving multiple
  stakeholders was greatly appreciated
Resource issues

• Some programmes had much more than
  funding than they were used to, others had
  to work with very limited resources
• Limited human resources within country
  offices and country teams – some had to
  be pulled from other teams, others had to
  be recruited quickly without the necessary
  experience or training
AI and Pandemic Influenza

• Much of the AI surge capacity was no
  longer in place when the H1N1 pandemic
  emerged
• Confusion about the differences between
  AI response and pandemic preparedness
  – should have been delinked!
• Much longer term investment is required in
  building „C4D‟ capacity – best way to be
  ready for an emergency
Wish list (1)

• Interagency vision and leadership required to
  make long term communication investments
  towards „One Health‟
• Capacity for evidence based communication
  planning and implementation in all agencies
  – correct balance of quantitative and qualitative
    research (including PLA, rapid surveys),
    implementation, monitoring and evaluation
Wish list (2)

• More emphasis on achieving change
  through analysis of „locks‟ and „keys‟ to
  change, as well as careful use of
  appropriate risk communication approaches
  for developing country settings
• Stronger partnership between the agencies
  – understanding each others roles,
  responsibilities, strengths and weaknesses
Thank
you

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Partner Insights on Risk Communication and Behavior Change for AI Prevention

  • 1. Partner Insights FAO Risk Communication Seminar Susan Mackay, Senior C4D Specialist (Health) UNICEF
  • 3. AI - What was learned (or not!) • Multiple KAP studies conducted between 2006-2007 (Unicef research in at least 16 countries) • Different methodology and designs made it impossible to compare or generalize results • Interesting insights for designing communication strategies, and general planning • However insufficient qualitative or participatory research to help address the critical „WHY‟ question
  • 4. What the KAPs showed • High awareness but low understanding – High media coverage likely to be a significant factor • Low level of knowledge about transmission (at best one or two modes of transmission) and many „incorrect‟ beliefs
  • 5. Challenges • Rural and less educated populations less knowledgeable and less aware • Studies largely descriptive – Lacking plausible explanations for demographic variables or varying levels of knowledge about different forms of transmission – Lack of nuanced analysis unfortunate as would have been key to improving design
  • 6. Impact • Communication campaigns did contribute to increased awareness • Knowledge (transmission, symptoms, methods of disposal, and prevention) increased after exposure or participation in communication interventions eg – Meetings and outreach activities increased perceptions of the seriousness of AI in Laos – Substantial knowledge increases recorded (transmission modes and prevention) between 2006 and 2007 in Thailand and Egypt
  • 7. Significant knowledge-practice gap • Although awareness and knowledge of prevention and transmission behavioural change was much lower – Some actions (cooking and handwashing) easier to implement than others (biosecurity and reporting behaviours) – also linked to low perception of risk – Need for a much deeper understanding of social, economic and political barriers to change
  • 8. Risk perception • Even though awareness and understanding increased, risk perception and sense of urgency generally remained low • However in urban areas sudden drops in consumption reported during outbreaks – Yet in rural areas consumption even increased suggesting low risk perception • AI “only has relative importance”, “people are used to it” • Lower risk perception than issues such as dengue, malaria, malnutrition, diarrheal diseases and limited access to sanitation
  • 9. Challenges • Studies identified variations in risk perception but did not (or were not sensitive enough) to investigate highs and lows – a better understanding of the drivers and timings of changing attitudes and behaviours is needed – more „dynamic‟, innovative approaches needed to tracking changing perceptions of risk – need to explore relationship with media coverage (animal and human cases) and of economic drivers
  • 10. “… tools are still needed to address the challenges of communicating in these difficult circumstances. These tools can be developed by looking at alternative paradigms of risk that exist within the social sciences.” Abraham, T, Bull World Health Organ 2009;87:604–607
  • 11. “Risk Society” Beck, Giddens etc Epidemic Psychology “Psychometric Strong paradigm” Slovic et al.; Covello and Sandman Social Amplification of Culture, Risk and Risk Blame Douglas (See Murdoch et al.)
  • 12. But how does this translate in low resource settings?
  • 13. Behaviours Reality check (1) Studies showed that the four behaviours are rarely practices in high risk communities in „real life‟ But too much emphasis on „educating‟ rather than finding the „locks‟ and „keys‟ to behaviour change – Lack of link with „programme‟ and community developed solutions
  • 14. Reality check 2 Reality check (2) “The idea that one should have to protect oneself from one’s poultry is literally exotic” “birds and humans have mingled for generations without any negative impact as far as they could see ….” We must constantly work within peoples social, cultural, political and economic realities.
  • 15. Reality check 1 Reality check (3) “AI prevention and control faces formidable obstacles, including disbelief in the existence of the disease, lack of economic means to implement recommended practices, and distrust of the authorities and health services. “It is important to distinguish between obstacles that can be addressed through communication alone, and those that need different and complementary programme interventions””
  • 16. If we were starting again … • Much more emphasis on addressing attitudes, such as low risk perception and stigma around reporting • Total integration with technical programming to reduce structural obstacles that discourage health practices (eg grant subsidies, economic aid to strengthen bio-security, as well as incentives to promote community surveillance and reporting)
  • 17. Design shortcomings • Not enough adjustment of the four key behaviours to local settings and realities – need for dialogue and consensus • Initial outbreak responses were inevitably „general‟, but later interventions should have been more tightly focused and nuanced to address specific needs and concerns (or lack of!) in segmented high risk populations
  • 18. Potential solutions Participatory approaches to build local perspectives into design of activities and solutions
  • 19. Lessons learned • Too much emphasis on promoting the actual behaviour but not enough on „selling‟ the benefits and / or risks eg – Local beliefs – Social attitudes eg stigmatization – Agreeing feasible, low cost solutions – Encouraging self and collective efficacy – Credibility - understanding the context of trust in local authorities
  • 20. Social determinants • Interesting gender, religious and cultural insights, but in many cases the data was available only after the bulk of communication interventions had been designed or implemented eg – Women primary handlers of poultry and eggs spending more time with backyard poultry – Men involved in handling slaughter, and cock-fighting in particular countries – Particular ethnic and or religious practices
  • 21. Some highlights Innovative work with schools eg. Thailand, Indonesia, Turkey
  • 22. What worked • High level advocacy with government officials and decision makers • Training of print and broadcast journalists at national and subnational levels • Training frontline workers and volunteers, rapid response teams and poultry farmers • Orientation and training of government spokespersons, school teachers and community influencers • Folk theatre and rural media • TV and radio campaigns featuring public service announcements
  • 23. Limitations • Frantic pace of activities – Emergency response to outbreaks – Pressure from donors to implement quickly when more time was needed for participatory research, design and implementation – Lack of existing capacity at all levels We were aware of most (if not all) of the limitations at the time but limited capacity to change course!
  • 24. Institutional context • Level of government commitment, ownership and capacity varied • Coordinating committees a problem in some areas • Working relationships within and between agencies varied – where it was good generally the quality of work and impact was higher – These relationships work best where they are built in advance • Participatory planning processes involving multiple stakeholders was greatly appreciated
  • 25. Resource issues • Some programmes had much more than funding than they were used to, others had to work with very limited resources • Limited human resources within country offices and country teams – some had to be pulled from other teams, others had to be recruited quickly without the necessary experience or training
  • 26. AI and Pandemic Influenza • Much of the AI surge capacity was no longer in place when the H1N1 pandemic emerged • Confusion about the differences between AI response and pandemic preparedness – should have been delinked! • Much longer term investment is required in building „C4D‟ capacity – best way to be ready for an emergency
  • 27. Wish list (1) • Interagency vision and leadership required to make long term communication investments towards „One Health‟ • Capacity for evidence based communication planning and implementation in all agencies – correct balance of quantitative and qualitative research (including PLA, rapid surveys), implementation, monitoring and evaluation
  • 28. Wish list (2) • More emphasis on achieving change through analysis of „locks‟ and „keys‟ to change, as well as careful use of appropriate risk communication approaches for developing country settings • Stronger partnership between the agencies – understanding each others roles, responsibilities, strengths and weaknesses