A health economic evaluation of calorie labelling in the out-of-home sector in England: A modelling study

This modelling study estimates that mandatory calorie labelling for large out-of-home businesses in England is likely to be cost-effective and generate modest health benefits, particularly for deprived populations, primarily driven by expected changes to restaurant menus rather than consumer behaviour alone.

The Gist

Imagine the food we buy outside our homes—like at restaurants, cafes, and fast-food chains—as a giant, bustling marketplace. For a long time, the "menu" in this marketplace was a bit of a mystery box; you knew what you were ordering, but you didn't know exactly how many calories were inside until you ate it.

In 2022, the government in England decided to put a "nutrition label" on every item in this marketplace. The rule was simple: if you have a big business (250+ employees), you must show the calorie count on your menu.

This paper is like a crystal ball simulation that tries to answer a big question: Did this rule actually save money for the healthcare system and make people healthier in the long run?

Here is the breakdown of their findings, using some everyday analogies:

1. The Two Ways the Rule Works

The researchers realized the rule could change things in two different ways, like two different gears in a machine:

• Gear A: The Customer's Choice (Consumer Behavior). This is when you, the customer, see the calorie count, think, "Oh, that burger is 800 calories, maybe I'll get the salad instead," and change your order.
• Gear B: The Kitchen's Change (Menu Reformulation). This is when the restaurant owner sees the rule and thinks, "I need to make my burgers healthier," so they tweak the recipe, shrink the portion, or add a new, lower-calorie dish to the menu.

2. What the Crystal Ball Saw

The researchers built a computer model with 200,000 "virtual people" representing the whole of England. They ran the simulation over a lifetime to see what happened.

The Verdict on Gear A (Customers):
The simulation showed that customers didn't change their habits much. Seeing the numbers didn't stop them from ordering the same things. It's like putting a "High Speed" sign on a car; the driver might glance at it, but they don't necessarily slow down. The study found this effect was tiny and uncertain.

The Verdict on Gear B (Restaurants):
This is where the magic happened. Restaurants actually started changing their menus. They offered slightly smaller portions or new, lighter dishes. Even though the change per dish was small (about 9 calories less), it was consistent. It's like a leaky faucet that drips a tiny bit less every day; over a year, that adds up to a lot of saved water.

3. The Result: A Small Win for Everyone

When they combined these two gears, the study found that the policy is likely cost-effective.

• The Money: For every person in England, the policy is expected to save the healthcare system about £9 over a lifetime. It's a small saving, but it's a saving.
• The Health: People are expected to gain a tiny bit of health (measured in "Quality-Adjusted Life Years," or QALYs). It's like gaining an extra few days of healthy life over a whole lifetime.
• The "Most Likely" Outcome: There is a 93.6% chance that this policy is a good deal for the money, meaning the health benefits outweigh the costs of enforcing the rule.

4. Who Benefits the Most?

Here is the most interesting part: The benefits aren't spread out evenly like a flat layer of frosting. They are more like a staircase.

The people in the most deprived (poorer) areas got the biggest health boost and the biggest cost savings. Why? Because these groups generally have higher risks of obesity and heart disease to begin with. So, even a small reduction in calories helps them avoid big health problems later, saving the most money. The study suggests the policy does not make health inequalities worse; in fact, it might help narrow the gap slightly.

5. The Catch (Uncertainty)

The researchers are honest about the fog in their crystal ball.

• If the policy only relied on customers changing their minds (Gear A), it would probably not be worth the cost.
• The whole "good deal" relies on the restaurants actually changing their menus (Gear B) and sticking to it.
• The study notes that while restaurants did change their menus, we don't know for sure if customers are actually eating those new, healthier options yet. It's like a gym installing new, better equipment; the gym is ready, but we need to see if people actually use it.

The Bottom Line

The paper concludes that putting calorie labels on menus in England is a smart, low-risk investment. It's not a magic wand that will solve the obesity crisis overnight, but it's a small, steady nudge that saves a little money and improves health, especially for those who need it most. The success of this nudge depends entirely on restaurants keeping their menus lighter, rather than just customers reading the labels.

Technical Summary

Problem Statement
Obesity remains a critical public health challenge in England, with 64.0% of adults estimated to be overweight or living with obesity in 2022–2023. This condition is associated with reduced life expectancy and increased risks of chronic diseases such as cardiovascular disease and type 2 diabetes, carrying significant socioeconomic consequences. In April 2022, the English government mandated that large businesses (250+ employees) in the out-of-home sector display calorie information for non-prepacked food and non-alcoholic drinks. While the policy aims to support informed consumer choices and encourage menu reformulation, real-world evidence regarding its immediate impact on calorie consumption has been mixed, with some studies finding no statistically significant reduction in calories purchased. Furthermore, previous modeling studies often relied on pre-implementation meta-analyses rather than post-implementation real-world data. There is a need to estimate the long-term cost-effectiveness of this specific policy using emerging evidence from England's actual implementation to understand its potential impact on health outcomes, healthcare costs, and health inequalities.

Methodology
The study employs a discrete microsimulation model to estimate the lifetime health economic impacts of the calorie labelling policy compared to a counterfactual "no intervention" scenario.

• Population: A synthetic population of 200,000 individuals aged 13–79 was generated, representing the general population of England. This dataset was synthesized by combining individual-level data from the Health Survey for England (2018–2019) and the National Diet and Nutrition Survey (2009–2019), accounting for sociodemographic factors, metabolic risk factors, and out-of-home eating habits.
• Perspective and Horizon: The analysis adopts a health system perspective, including direct medical and social care costs, over a lifetime horizon. Costs and Quality-Adjusted Life Years (QALYs) were discounted at 3.5%.
• Intervention Effects: The model incorporates two mechanisms of change based on real-world evidence:
  1. Consumer Behaviour: A non-significant reduction in calories purchased (-2 kcal/day on average) derived from a post-implementation interrupted time series analysis, assumed to revert to baseline after six months.
  2. Menu Reformulation: A sustained reduction in the average calorie content of menu items (-9 kcal per dish) based on observed changes in England post-policy.
• Modeling: Changes in daily calorie intake are converted to weight changes using an approximation of Hall et al.'s models. The simulation tracks long-term trajectories of BMI, HbA1c, blood pressure, and cholesterol to estimate the incidence of obesity, diabetes, cardiovascular events, and mortality.
• Uncertainty: Probabilistic sensitivity analysis (PSA) with 1,000 samples was conducted to describe uncertainty. Subgroup analyses were stratified by Index of Multiple Deprivation (IMD) quintiles. Several sensitivity analyses (SA) tested alternative assumptions, including varying the source of behavioral and reformulation data, discount rates, and the timing of reformulation effects.

Key Results

• Cost-Effectiveness: The base case analysis estimates that the policy generates a lifetime cost saving of -£9.15 (95% CI -£31.63, £2.50) per person and an incremental gain of 0.0021 QALYs (95% CI -0.0008, 0.0048). At a willingness-to-pay threshold of £20,000 per QALY, the incremental net benefit is £50.23, with a 93.6% probability of the policy being cost-effective.
• Health Outcomes: The policy is projected to reduce obesity cases by approximately 69,330 in the first 12 months and reduce cardiovascular deaths by 92 after 10 years.
• Drivers of Effectiveness: The results are primarily driven by menu reformulation effects. When modeled in isolation (SA2), menu changes alone yield a cost saving of -£8.91 and a QALY gain of 0.0023. Conversely, when only consumer behavioral changes are modeled (SA1), the policy is not cost-effective, showing a negative incremental net benefit (-£3.88) and a slight reduction in QALYs due to the non-linear relationship between weight change and health outcomes.
• Socioeconomic Distribution: The policy is estimated to generate greater cost savings and QALY gains in the most deprived groups (IMD1) compared to the least deprived (IMD5). For instance, the incremental net benefit is £53.76 for the most deprived group versus £44.91 for the least deprived in the base case. The analysis suggests the policy does not exacerbate health inequalities and may slightly reduce them.

Significance and Claims
The paper claims that the out-of-home calorie labelling policy in England is likely to be cost-effective from a health system perspective, but this conclusion is conditional on the assumption that the policy successfully drives modest, sustained menu reformulation by businesses. The study highlights that if the policy's impact were limited solely to changes in consumer purchasing behavior (which showed minimal and non-significant effects in real-world evaluations), the policy would not be cost-effective.

The authors emphasize that their analysis is novel for integrating emerging real-world evidence from England's specific implementation context, rather than relying solely on pre-implementation meta-analyses. They note that while the policy is unlikely to worsen health inequalities, the magnitude of its benefits is sensitive to the extent of menu changes and the long-term maintenance of lower-calorie offerings. The study concludes that ongoing monitoring is essential to determine whether shifts to lower-calorie menu items are sustained and whether consumers adapt their tastes to select these options over time. The authors acknowledge limitations, including the exclusion of industry implementation costs and broader societal effects such as mental health impacts, which could alter the overall societal cost-benefit balance.