“One of the best write-up experiences I have had in a long time, and the best part was how the employee I wrote-up left the meeting in good spirits.”
Oftentimes, when we read a rule, we think about the dos and don’ts of the equation. But, there is so much more to a rule. Rules are in place for a reason; they are designed to protect us and others from harm. Well written rules, especially ones that are focused on safety, protect employees from physical harm, maintain efficiency and decrease any possible liabilities for the company all the while increasing the quality of food being produced.
Writing an employee up for not adhering to the safety rules is an important and necessary step but comes with no guarantees of changed behavior.
Daniel shared with me about an upcoming write-up, and I invited him to use a four-step sequence designed to increase the likelihood of a behavioral change. Because of the recent supervision training that Daniel had engaged in, he was ready to grow in his supervisory role and try something different.
Step 1) Prepare a concise list of the ways this choice affects the supervisor, the employee, the other employees, and the company as a whole. When speaking with the employee begin with the following prompt:
This is the way it impacts me and others…
Step 2) Create space to listen to their story without judgment. Use the following prompt:
Can you share with me how this happened?
Step 3) After listening to the story, summarize it and invite the employee to take responsibility using this question:
As you reflect upon it is there anything you would do differently?
Step 4) Thank the employee for recognizing alternative possibilities and complete the four-step sequence with this final invitation:
Knowing how it has impacted me and others is there anything you think could or would do to correct it?
Using these four steps Daniel reported that his relationship with the employee strengthened, that the employee recognized the potential harm that could have come from his shortcuts, committed to changing his behavior, identified ways that it could be done better in the future, gladly accepted the writeup, and even generated ideas for safety practices in other areas.
If you, or your company, is interested in further exploring the ways that the High-Performing Team Growth Cycle can invite safer, more productive, and higher quality practices with your team please reach out to me at Tim.email@example.com.
On September 21, 2020, the Food and Drug Administration announced the release of a draft rule for the food industry, “Requirements for Additional Traceability Records for Certain Foods” (also referred to as the Food Traceability Proposed Rule). This is one of the last remaining elements of the FDA’s Food Safety Modernization Act (FSMA), assigned to the FDA by congressional mandate. This draft rule requires that the FDA implement additional traceability expectations for the food industry based on risk. This new rule is being billed by the FDA as part of its overall “Blueprint for the New Era of Smarter Food Safety”, which outlines several key elements, including enhanced traceability.
Our overall impression is that our customers, such as yourself, are already largely in compliance with the requirements as they’re currently written, perhaps with just a few minor gaps. The FDA has provided more information about the rule on their website.
7 Key Takeaways Regarding This Rule:
This is a draft rule. Now is the time to submit any feedback or concerns.
Its scope is limited. It pertains specifically to those who manufacture, process, pack, or hold specific types of foods on the FDA’s “Food Traceability List” (FTL).
It requires tracking specific activities. The FDA refers to these as “Critical Tracking Events” (CTEs), and they include: growing, receiving, transforming, creating, and shipping.
It requires tracking specific data. The FDA calls these “Key Data Elements” (KDEs), and they must be tracked for each Critical Tracking Event. They include information such as grower location identifier; lot numbers and other traceability identifiers; business names, numbers, and points of contact; quantities and units of measure; and other key elements.
It requires farms to communicate some basic information to customers. This includes location identifiers for the growing area and each location the product was processed or stored at, including business names and key contacts.
The record format is flexible. Under the rule, the FDA allows either paper or electronic records. However, it’s worth noting that, especially for finished companies who produce ready-to-eat foods, the FDA has made it clear that there is a preference for electronic records, where necessary to facilitate traceability (see the next requirement).
Records must be readily available. The FDA requires that companies be able to provide a sortable electronic spreadsheet to the FDA containing any affected products, within 24 hours of any FDA request, to assist in the investigation of any outbreak or recall.
If you’d like a member of our team to help you conduct an assessment of your company’s traceability programs, we’re ready to assist you, virtually or on-site! Reach out to us at firstname.lastname@example.org.
Fresno Ideaworks, established in 2012 in downtown Fresno, California, is a source of a myriad of tools and creative opportunities. But, like makers everywhere, we also value our friendships, collaborative projects, the comfort of our “third space”, and the therapeutic value of getting our hands dirty as we mold clay, wood, metal, textiles, electronics, or plastics into something new and wonderful.
Over eight years Fresno Ideaworks has grown from a small group of friendly hackers into a community workshop full of curious and creative people, eager to learn and hone new skills and share them with anyone who comes through our doors. But since the 16th of March 2020 our doors have been closed to all regular activity – a crushing situation for people who come to the Shop for any reason, and a threatening blow to our survival as a non-profit, all-volunteer, member-driven organization.
We immediately joined the ranks of makerspaces all over the country, manufacturing PPE for healthcare professionals and other essential workers. Collaborating with two other non-profits in Fresno – Root Access Hackerspace, and Pi Shop Fresno – we designed, manufactured, and delivered more than 4000 pieces of PPE by the first week of May to everyone from hospital nurses to bus drivers, and from mail carriers to food service workers. We are very proud of our role in helping protect our neighbors and caregivers, but we are also very proud of the collaborative effort. We are already trying to imagine what new projects we can undertake together when our spaces are open again!
Meanwhile, we have lost nearly 15% of our membership, and watching our family shrink is breaking our hearts. A goal for the immediate future is to establish a sponsorship fund for those former members facing financial hardship because of the COVID-19 experience. Although our membership fees are among the lowest for similar spaces, they are suddenly an impossible luxury for some, even though the emotional health benefits of making and creating would go a long way to ease the anxiety those same people are experiencing.
We also have to focus more intently on the facility upgrades that will enable us to welcome more members with a greater diversity of skills and abilities throughout the entire space. Maintaining a historic building is already a huge challenge (one we makers welcome), but opening the whole structure to more makers will require the help of angels that embrace our mission. Downtown Fresno, and our Cultural Arts District neighborhood in particular, have suffered the adversity of economic downturn for several decades now. Ideaworks is relentlessly dedicated to being part of the growth of both the economic health of the neighborhood, and, through skill-building and fellowship, part of the economic and emotional well-being of everyone who comes through our doors.
“Organic” is more than just a passing fad. Organic food sales totaled a record US$45.2 billion in 2017, making it one of the fastest-growing segments of American agriculture. While a small number of studies have shown associations between organic food consumption and decreased incidence of disease, no studies to date have been designed to answer the question of whether organic food consumption causes an improvement in health.
I’m an environmental health scientist who has spent over 20 years studying pesticide exposures in human populations. Last month, my research group published a small study that I believe suggests a path forward to answering the question of whether eating organic food actually improves health.
What we don’t know
According to the USDA, the organic label does not imply anything about health. In 2015, Miles McEvoy, then chief of the National Organic Program for USDA, refused to speculate about any health benefits of organic food, saying the question wasn’t “relevant” to the National Organic Program. Instead, the USDA’s definition of organic is intended to indicate production methods that “foster cycling of resources, promote ecological balance, and conserve biodiversity.”
While some organic consumers may base their purchasing decisions on factors like resource cycling and biodiversity, most report choosing organic because they think it’s healthier.
Sixteen years ago, I was part of the first study to look at the potential for an organic diet to reduce pesticide exposure. This study focused on a group of pesticides called organophosphates, which have consistently been associated with negative effects on children’s brain development. We found that children who ate conventional diets had nine times higher exposure to these pesticides than children who ate organic diets.
Our study got a lot of attention. But while our results were novel, they didn’t answer the big question. As I told The New York Times in 2003, “People want to know, what does this really mean in terms of the safety of my kid? But we don’t know. Nobody does.” Maybe not my most elegant quote, but it was true then, and it’s still true now.
Studies only hint at potential health benefits
Since 2003, several researchers have looked at whether a short-term switch from a conventional to an organic diet affects pesticide exposure. These studies have lasted one to two weeks and have repeatedly shown that “going organic” can quickly lead to dramatic reductions in exposure to several different classes of pesticides.
Still, scientists can’t directly translate these lower exposures to meaningful conclusions about health. The dose makes the poison, and organic diet intervention studies to date have not looked at health outcomes. The same is true for the other purported benefits of organic food. Organic milk has higher levels of healthy omega fatty acids and organic crops have higher antioxidant activity than conventional crops. But are these differences substantial enough to meaningfully impact health? We don’t know. Nobody does.
Some epidemiologic research has been directed at this question. Epidemiology is the study of the causes of health and disease in human populations, as opposed to in specific people. Most epidemiologic studies are observational, meaning that researchers look at a group of people with a certain characteristic or behavior, and compare their health to that of a group without that characteristic or behavior. In the case of organic food, that means comparing the health of people who choose to eat organic to those who do not.
Several observational studies have shown that people who eat organic food are healthier than those who eat conventional diets. A recent French study followed 70,000 adults for five years and found that those who frequently ate organic developed 25% fewer cancers than those who never ate organic. Other observational studies have shown organic food consumption to be associated with lower risk of diabetes, metabolic syndrome, pre-eclampsia and genital birth defects.
The problem with drawing firm conclusions from these studies is something epidemiologists call “uncontrolled confounding.” This is the idea that there may be differences between groups that researchers cannot account for. In this case, people who eat organic food are more highly educated, less likely to be overweight or obese, and eat overall healthier diets than conventional consumers. While good observational studies take into account things like education and diet quality, there remains the possibility that some other uncaptured difference between the two groups – beyond the decision to consume organic food – may be responsible for any health differences observed.
When clinical researchers want to figure out whether a drug works, they don’t do observational studies. They conduct randomized trials, where they randomly assign some people to take the drug and others to receive placebos or standard care. By randomly assigning people to groups, there’s less potential for uncontrolled confounding.
My research group’s recently published study shows how we could feasibly use randomized trial methods to investigate the potential for organic food consumption to affect health.
We recruited a small group of pregnant women during their first trimesters. We randomly assigned them to receive weekly deliveries of either organic or conventional produce throughout their second and third trimesters. We then collected a series of urine samples to assess pesticide exposure. We found that those women who received organic produce had significantly lower exposure to certain pesticides (specifically, pyrethroid insecticides) than those who received conventional produce.
On the surface, this seems like old news but this study was different in three important ways. First, to our knowledge, it was the longest organic diet intervention to date – by far. It was also the first to occur in pregnant women. Fetal development is potentially the most sensitive period for exposures to neurotoxic agents like pesticides. Finally, in previous organic diet intervention studies, researchers typically changed participants’ entire diets – swapping a fully conventional diet for a fully organic one. In our study, we asked participants to supplement their existing diets with either organic or conventional produce. This is more consistent with the actual dietary habits of most people who eat organic food – occasionally, but not always.
Even with just a partial dietary change, we observed a significant difference in pesticide exposure between the two groups. We believe that this study shows that a long-term organic diet intervention can be executed in a way that is effective, realistic and feasible.
The next step is to do this same study but in a larger population. We would then want to assess whether there were any resulting differences in the health of the children as they grew older, by measuring neurological outcomes like IQ, memory and incidence of attention-deficit disorders. By randomly assigning women to the organic and conventional groups, we could be sure any differences observed in their children’s health really were due to diet, rather than other factors common among people who consume organic food.
The public is sufficiently interested in this question, the organic market is large enough, and the observational studies suggestive enough to justify such a study. Right now, we don’t know if an organic diet improves health, but based on our recent research, I believe we can find out.
The easiest way to understand blockchain technology is to think of it as an electronic notary. A notary protects the integrity of a document by verifying the signer’s identity, making sure they aren’t being forced to sign under duress or intimidation and making sure they’re aware of the contents of the document or transaction. So, when a document is notarized, you can feel confident the document is legitimate.
Blockchain serves a very similar function.
A blockchain is a growing list of records, called blocks, which are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data. By design, a blockchain is resistant to modification of the data. It is “an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way.”
Therefore, like a notary, Blockchain protects the integrity of the information stored within each block.
Why is Blockchain such a buzzword in the Food Industry?
During a foodborne illness outbreak, one of the biggest challenges is determining where the contaminated food originated from and where it was distributed/served/sold. There is not an easy way to track down this information; which makes managing a recall, or an outbreak, incredibly tricky, time-consuming, and dangerous.
Blockchain could change all of that.
Blockchain technology can keep a record of the entire supply chain. If Blockchain were implemented across the food industry, it would be possible to see everywhere a single piece of produce has been — from farm to plate. Consumers and food industry professionals alike would be able to see if a recall had impacted their produce or if it was from the same farm that is being investigated for a foodborne illness outbreak. Cool, right? It doesn’t stop there! This enhanced traceability could also help protect against food fraud by providing a verifiable record or every stage in the supply chain.
Okay great, let’s do it.
It isn’t that easy. There are a lot of very real obstacles in the way, and there is no easy solution.
Slow Supply Chain Adoption
In a dream world, when helpful technology is created, people rush to adopt it because they know it is valuable. In the world we actually live in, the reality is much different. Many key stages of the food supply chain operate with very low margins. Growers, packers, slaughterhouses, wholesalers, and harvest companies have very manual processes – and they don’t always have the capital to invest in technology. The other thing these companies are short on is time for training. Successful implementation of a new system requires time, money, and desire. When you’re operating with a shortage of time and money, desire is hard to come by as well. Transparency and traceability are popular ideas throughout the food industry, but when it comes time to actually turn that idea into reality, many companies have an “if it ain’t broke, don’t fix it”attitude.
The unfortunate reality is that people often pay the cost of food traceability at the early stage of the supply chain (growers, packers, processors) and the benefit is felt the strongest by those at the end of the supply chain (retailers and consumers). What this means is that we are asking the companies with the smallest margins to make the most significant investments – which they are often unwilling or unable to make. It is a fair point, outside of altruism, there is not a clearly defined business benefit to growers — so we are asking them to complicate their process, invest time and money, for little direct benefit.
This is particularly damaging because Blockchain won’t be revolutionary if it is only protecting part of the food supply chain. To be completely effective, every piece of the food supply chain needs to be on board.
Food Fraud is big business
Experts estimate that food fraud is now a $40 billion-dollar business. Unfortunately, the people committing food fraud are making a lot of money, and they are likely to be involved at some point in the supply chain. Blockchain and traceability technology threaten this business because of the technological ability to sound alarm bells and alert the world to food fraud. So, to protect their business model, these criminals will fight traceability implementation tooth and nail.
Too many independent systems
There are a lot of small-to-mid-sized companies offering traceability solutions, but unfortunately, these systems don’t always talk to each other. Blockchain success is heavily dependent on private tech companies being open to working together and sharing their data — which historically, they are not.
Traceability is different for different groups
Traceability varies by industry and product. For example:
Agriculture/Farming: Identification starts with the birth of livestock or planting and moves through the growth process, use of pesticides, nutritional records, vet records, and transportation records;
Food Processors: Identification starts at the source of each ingredient and follows through the processing, packaging, distribution, and transportation process;
Retail and Food Service: Identification starts with receiving receipts/invoices to identify the lot and batch information with regulations not requiring tracking “one-up” to the final consumer;
Transportation and Distribution: Commingling points of contact are vectors for the spread of disease. Waybills should contain source party and target party identification. Specific locations are needed for livestock in most countries. If products are disaggregated for smaller shipments, then records need to reflect lot/batch codes of the manufacturer or processor.
Different groups have different motivations, and it may be difficult for a system to accommodate the needs of each industry or product.
So, does it live up to the hype?
The short answer is maybe. Blockchain represents immense possibility, but it also comes with equally immense challenges. If the food industry doubles down on Blockchain and can secure engagement at every phase of the supply chain, the results would be revolutionary. However, if there is only partial adoption of traceability technology, it will be far less successful.
There is a reason to be optimistic, however! The FDA recently launched the New Era of Food Safety program that looks ready to move the food industry forward into new traceability technologies.