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Development and validation
of a food safety system
performance tool for
African countries
Silvia Alonso, Ana R.S. Oliveira, Rodolphe Mader, Maria Francesca Iulietto,
Ian Dohoo, Thinh Nguyen, Hung Nguyen-Viet and Delia Grace
22nd International Symposium of Veterinary Epidemiology and Economics (ISVEE 22)
Halifax, Canada, 8 August 2022
www.cgiar.org
Food safety in low- and middle-income
countries
• 2015 WHO publication on foodborne disease health burden
• Burden similar to malaria, TB or HIV
• Most burden falling on African countries and children under 5
• 2019 WB publication on foodborne disease
economic burden in LMIC
• 2019 GFSI publication on food safety investments
in Africa
www.cgiar.org
Food safety system performance
• 2014 world ranking food safety performance (Le Vallée and Charlebois)
• The food safety barometer
• Africa Food Safety Index
www.cgiar.org
Methods
• FSPT development
• Identification of LMIC suitable indicators (expert elicitation)
- Available as secondary data
- Representing the food systems reality in LMIC
• Data gathering
• Computation
• Evaluation
• Cronbach’s alpha
• IRT model
• Validation
• Comparison with AFSI and HDI
www.cgiar.org
FSPT
www.cgiar.org
Important remarks
• Rank based
• Final score is not an absolute value of food safety performance
• No weighing of indicators
• Scoring of indicators could
be done differently
www.cgiar.org
Evaluation
Consistency (Cronbach’s alpha)
“How do indicators come together to form a reliable scale”
Reliability (factor analysis and IRT models)
“How well the scale works in measuring one single underlying latent variable (food system
performance)”
• Items discrimination
“Degree to which an item in a scale (i.e. each indicator in the FSPT tool) differentiates between
countries with different performance levels”
• Items difficulty
“Level of underlying trait required to rank better”
www.cgiar.org
Evaluation
Cronbach’s alpha = 0.73
Factor analysis - Unidimensional scale
IRT:
A simplified scale with 4 indicators works better:
I2: International Health Regulations zoonosis capacity.
I3: International Health Regulations food safety capacity.
I4: International Health Regulations chemical events capacity.
I8: Internet usage
www.cgiar.org
Methods
• FSPT development
• Identification of LMIC suitable indicators (expert elicitation)
- Available as secondary data
- Representing the food systems reality in LMIC
• Data gathering
• Computation
• Evaluation
• Cronbach’s alpha
• IRT model
• Validation
• Comparison with AFSI and HDI
www.cgiar.org
Conclusions
• A good first step to a LMIC-specific FSPT!
• May need to reconsider
• Scoring/computation
• Some of the indicators
• Validation remains a challenge
More details on
upcoming publication…
“Assessment of food safety systems performance
in low- and middle-income countries:
A food safety performance tool”
Thank You!
THANK YOU

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Development and validation of a food safety system performance tool for African countries

  • 1. Development and validation of a food safety system performance tool for African countries Silvia Alonso, Ana R.S. Oliveira, Rodolphe Mader, Maria Francesca Iulietto, Ian Dohoo, Thinh Nguyen, Hung Nguyen-Viet and Delia Grace 22nd International Symposium of Veterinary Epidemiology and Economics (ISVEE 22) Halifax, Canada, 8 August 2022
  • 2. www.cgiar.org Food safety in low- and middle-income countries • 2015 WHO publication on foodborne disease health burden • Burden similar to malaria, TB or HIV • Most burden falling on African countries and children under 5 • 2019 WB publication on foodborne disease economic burden in LMIC • 2019 GFSI publication on food safety investments in Africa
  • 3. www.cgiar.org Food safety system performance • 2014 world ranking food safety performance (Le Vallée and Charlebois) • The food safety barometer • Africa Food Safety Index
  • 4. www.cgiar.org Methods • FSPT development • Identification of LMIC suitable indicators (expert elicitation) - Available as secondary data - Representing the food systems reality in LMIC • Data gathering • Computation • Evaluation • Cronbach’s alpha • IRT model • Validation • Comparison with AFSI and HDI
  • 6. www.cgiar.org Important remarks • Rank based • Final score is not an absolute value of food safety performance • No weighing of indicators • Scoring of indicators could be done differently
  • 7. www.cgiar.org Evaluation Consistency (Cronbach’s alpha) “How do indicators come together to form a reliable scale” Reliability (factor analysis and IRT models) “How well the scale works in measuring one single underlying latent variable (food system performance)” • Items discrimination “Degree to which an item in a scale (i.e. each indicator in the FSPT tool) differentiates between countries with different performance levels” • Items difficulty “Level of underlying trait required to rank better”
  • 8. www.cgiar.org Evaluation Cronbach’s alpha = 0.73 Factor analysis - Unidimensional scale IRT: A simplified scale with 4 indicators works better: I2: International Health Regulations zoonosis capacity. I3: International Health Regulations food safety capacity. I4: International Health Regulations chemical events capacity. I8: Internet usage
  • 9. www.cgiar.org Methods • FSPT development • Identification of LMIC suitable indicators (expert elicitation) - Available as secondary data - Representing the food systems reality in LMIC • Data gathering • Computation • Evaluation • Cronbach’s alpha • IRT model • Validation • Comparison with AFSI and HDI
  • 10. www.cgiar.org Conclusions • A good first step to a LMIC-specific FSPT! • May need to reconsider • Scoring/computation • Some of the indicators • Validation remains a challenge More details on upcoming publication… “Assessment of food safety systems performance in low- and middle-income countries: A food safety performance tool”