Please read the information about FAO evaluation tool , part 1, part 2 and part 3 of the series before reading this third part.
In this post we will try to use the FAO tool to evaluate the National Food Control System of Nepal. The evaluation will be done in four dimensions:
Dimension A: Are system resources and inputs adequate?
Dimension B: How do the controls function?
Dimension C: How does the system interact with stakeholders?
Dimension D: Is the system evidence based ? Does it support continuous improvements?
Dimension D: Is the system evidence based ? Does it support continuous improvements?
In this part, we will only evaluate the fourth dimension D: “Is the system evidence based ? Does it support continuous improvements?”

(Source: FAO/WHO, 2019)
We are going to use the same qualitative scoring scale during evaluation:
1 = Absent
2 = Insufficient
3 = Basic requirements exist
4 = All requirements exist
5 = Exceeds the requirement
(Please note that CA has been used frequently as a short form for “Competent Authority”)
FAO and WHO. 2019. Food control system assessment tool:
Dimension D – Science/Knowledge base and continuous improvement. Food
safety and quality series No. 7/5. Rome.
S.N.
|
Criteria
|
Score
|
D
|
SCIENCE/
KNOWLEDGE BASE AND CONTINUOUS IMPROVEMENT
|
|
D.1
|
EVIDENCE/RISK
BASE
|
|
D.1.1
|
Access
of CAs to updated scientific and technical information: CAs base
their decisions on relevant scientific and technical information.
|
|
D.1.1.1
|
Relevant staffs
have access to authentic and up-to-date sources of scientific, technical, monitoring
and surveillance information.
|
2
|
D.1.1.2
|
Staff are
supported to share new knowledge with work colleagues and work teams
|
2
|
D.1.1.3
|
CAs actively
collaborate with one or more Centres of Excellence or Reference Centres for
food safety and staff participate in professional associations
|
1
|
D.1.2
|
Capacity
to collect and analyse data for risk analysis purposes: Risk
analysis is based on robust information collection processes and quality
data.
|
|
D.1.2.1
|
There is
sufficient infrastructure and technological capacity to conduct data
collection to support risk analysis activities.
|
2
|
D.1.2.2
|
Sufficient
expertise supports the elaboration of sound protocols for data collection and
analysis required by the country for risk analysis.
|
2
|
D.1.2.3
|
CAs monitor data
collection and processing, performing data quality controls.
|
2
|
D.1.2.4
|
CAs identify and
collect data on country-specific hazard and commodity combinations.
|
2
|
D.1.2.5
|
A surveillance
system is in place that integrates information from the entire food chain to
enable a better understanding of risk.
|
1
|
D.1.2.6
|
Data from
routine inspection, monitoring and surveillance programmes are used to inform
new or current risk analysis activities.
|
1
|
D.1.2.7
|
The CAs identify
data needs for risk assessments and generate the data needed.
|
1
|
D.1.2.8
|
Targeted
research studies are conducted to attribute food sources to specific
diseases, understand FBD epidemiology and estimate the burden of FBD on the
community.
|
1
|
D.1.2.9
|
CAs generate
burden of FBD estimates that integrate disease incidence and severity data
with attribution to food-borne transmission, as the best evidence for risk
prioritization.
|
1
|
D.1.3
|
Knowledge
and use by CAs of risk analysis framework: CAs
appropriately use the risk analysis framework to quantify food safety risks,
and use the outputs to plan and cyclically refine their food safety official
controls.
|
|
D.1.3.1
|
CAs demonstrate
sound understanding of risk analysis principles and commitment to the risk
management framework in processes and outputs, as appropriate, pertaining to
legislation, standard setting, policies, guidance, etc.
|
2
|
D.1.3.2
|
CAs use risk
ranking approaches to target resources for risk management.
|
1
|
D.1.3.3
|
When necessary,
CAs use risk profiles to guide and inform the deployment of resources into
official controls.
|
1
|
D.1.3.4
|
CAs have
collaborated to produce a risk categorization framework of FBOs.
|
2
|
D.1.3.5
|
Risk assessments
are being conducted and they deliver scientifically defensible risk estimates
(qualitative or semi-quantitative).
|
1
|
D.1.3.6
|
Quantitative
risk assessments are conducted.
|
1
|
D.1.3.7
|
Advanced
techniques are applied to management of food safety risks.
|
1
|
D.1.3.8
|
Risk assessments
and risk management measures are periodically re-assessed and updated as
necessary.
|
1
|
D.1.3.9
|
Units conducting
risk assessment and risk management are functionally separated, and CAs and
experts involved in risk assessment are not subject to any conflict of
interest.
|
1
|
D.2
|
CONTINUOUS
IMPROVEMENT
|
|
D.2.1
|
Performance
monitoring of CAs and continuous improvement: CAs
implement an array of tools and approaches to regularly review and improve
performance and ensure that relevant outcomes are achieved.
|
|
D.2.1.1
|
Within CAs,
there is organizational commitment to monitoring performance.
|
2
|
D.2.1.2
|
CAs’ processes
have specific outcomes that can be monitored and evaluated.
|
3
|
D.2.1.3
|
CAs have created
a monitoring plan supporting the measurement of performance.
|
2
|
D.2.1.4
|
CAs implement a
performance monitoring plan and use the data produced to improve processes
and achievement of outcomes.
|
2
|
D.2.1.5
|
The CAs
responsible for official controls for food safety have instigated internal
audits of official control processes.
|
2
|
D.2.1.6
|
The CAs
responsible for official controls for food safety have written policies to
use external audit of business processes to improve public services and these
policies are implemented.
|
3
|
D.2.2
|
Mechanism
to ensure consideration of newest scientific and technical information for
food control: The national food control system benefits from most recent
scientific and technical knowledge to ensure relevance of overall outcomes.
|
|
D.2.2.1
|
There are
fruitful working links between the CAs and academia, universities, technical
institutes and other expert groups (e.g. scientific committees), with the
objective of generating relevant information for assessing and responding to
food safety and fraud issues.
|
2
|
D.2.2.2
|
CAs adopt
foresight techniques to support a preventative approach to food control,
early identification of emerging and critical issues and implementation of
effective policies and decision-making.
|
2
|
Total
score
|
47
|
|
Average
score
|
1.6
|
The
average score implies that: “The
existing National Food Control System of Nepal should be upgraded to make it science/ evidence based Food Safety Management System. In addition, the principle of continuous improvement needs to be incorporated in the system.”
Read other parts
Note: this is author’s personal opinion and
you are free to agree or disagree with this evaluation. If there are mistakes
or suggestions, please feel free to make positive comments and feedback.
References:
FAO
and WHO. 2019. Food control system assessment tool: Introduction and glossary.
Food safety and quality series No. 7/1. Rome.
FAO
and WHO. 2019. Food control system assessment tool: Dimension A – Inputs and
resources. Food safety and quality series No. 7/2. Rome.
FAO
and WHO. 2019. Food control system assessment tool: Dimension B – Control
Functions. Food safety and quality series No. 7/3. Rome.
FAO and WHO. 2019. Food control system
assessment tool: Dimension C – Interactions with stakeholders. Food safety and
quality series No. 7/4. Rome.
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