A new randomized controlled study from the University at Buffalo suggests that the missing ingredient may not be motivation, education, or even money, but logistics. When fresh produce was delivered directly to participants’ homes, redemption rates jumped to nearly 90 percent, a figure that dwarfs the results of the traditional voucher model. The findings, published in Frontiers in Public Health, offer some of the clearest evidence yet that the design of food prescription programs, not just their existence, determines whether they succeed.

The study recruited 67 adults, most of them African American, all over the age of 65, and all of whom had reported experiencing food insecurity at times. Participants were drawn from primary care clinics at Erie County Medical Center in Buffalo and were randomly assigned to one of three groups for 12 weeks. One third received weekly boxes of fresh produce delivered to their doorsteps by FreshFix, a local food delivery company, with the option to customize their orders. Another third received home deliveries of healthy meal kits, which contained produce along with the additional ingredients needed to prepare three meals each week, chosen from five to six rotating options. The final third, serving as the standard-of-care comparison, received vouchers redeemable at the ECMC mobile market or at several FeedMore Western New York markets across Buffalo.

The results were striking. In both home-delivery arms, redemption, defined as the preparation and consumption of the delivered produce, reached 89.2 percent. In the control arm, where participants had to travel to a mobile market to redeem their vouchers, redemption was just 28.3 percent. That gap, more than 60 percentage points, represents the difference between a program that transforms diets and one that largely does not.

Lucia A. Leone, PhD, corresponding author and associate professor of community health and health behavior in the School of Public Health and Health Professions at UB, has spent years studying why food prescription programs underperform. The problem historically, she explains, is that people get the vouchers but do not redeem them. Her team’s goal was to test different versions of home delivery to boost redemption and compare them against the standard approach of handing out vouchers for redemption at a mobile market.

The barriers that suppress redemption in traditional programs are well documented but rarely addressed in program design. Many older adults lack reliable transportation to the markets where vouchers can be redeemed. Others avoid those settings altogether because the markets often operate out of food pantries, and recipients may feel stigmatized by being seen seeking assistance. By making home delivery the default, the Buffalo study removed both obstacles at once. Participants did not have to arrange a ride, stand in line, or explain themselves to anyone. The food simply arrived.

Two design choices appear to have been particularly important. First, delivery was automatic. Participants were not required to take any action to redeem their prescription, which eliminated the behavioral friction that causes so many voucher programs to fail. Second, the program allowed customization. Participants could tailor their produce orders to their preferences rather than receiving identical boxes. Leone notes that in many delivery programs, everybody gets the same food, and that partnering with FreshFix allowed the research team to combine delivery with personalization. A one-size-fits-all approach, she suggests, is less effective than one tailored to specific populations.

Interestingly, adding meal kits to the delivery model did not further increase produce consumption. Leone attributes this to the study population: adults over 65 generally already know how to cook with fresh produce, so providing recipes and supplementary ingredients did not change their behavior in the kitchen. The meal kits did, however, increase the overall quantity of food in the household, which helped improve food security. Redemption fell short of 100 percent mainly for mundane reasons, such as participants being out of town or feeling they already had sufficient food on hand.

Participants rated both delivery-based programs higher than 9 out of 10 and said they would recommend them to others. They also singled out the FreshFix delivery driver, Charles Humphrey, a community outreach coordinator with prior experience at mobile markets including the UB Veggie Van, for praise. Leone describes him as a wonderful, personable person who made every delivery throughout the study. That human connection, she says, is something the research team sees across their work: when a program has a good ambassador, it can substantially improve the program’s success. The finding adds a social dimension to what might otherwise seem like a purely logistical intervention.

The implications extend well beyond Buffalo. Large food prescription programs, including those offered through Medicaid, could potentially adopt home delivery as a default, though Leone cautions that large programs may find it harder to customize offerings for specific populations. The research team has already secured funding from the National Institutes of Health to test the model in a more challenging population: families on Medicaid experiencing food insecurity with children ages 2 to 6, in partnership with local pediatric practices. If the dramatic redemption gains seen among older adults hold for younger families, home delivery could reshape how food prescriptions are written and filled across the country. The study was funded by the American Heart Association, with preliminary work supported by UB’s Civic Engagement Research Fund, and partners included FreshFix, FeedMore WNY, and the UB Veggie Van. Co-authors include Anne Lally Mathiebe, Jennifer A. Stoll, the late Jill Tirabassi, and Rocco A. Paluch.

Subject of Research: Home delivery of fresh produce in food prescription programs for food-insecure older adults

Article Title: Study: Food prescription programs for food-insecure, older adults work best when fresh food is delivered to their door

Article References: Study: Food prescription programs for food-insecure, older adults work best when fresh food is delivered to their door. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: food prescription, food insecurity, fresh produce, home delivery, older adults, randomized controlled trial, University at Buffalo, Frontiers in Public Health, meal kits, mobile market, Medicaid, public health

In a paper published in the Atlantic Economic Journal, economists Sandipa Bhattacharjee and Timothy Haase of Ramapo College of New Jersey develop a simple household production framework that explains why some time-saving innovations deliver systematic reductions in housework while others barely move the needle. Their central insight is deceptively simple: the relevant question is not whether a technology saves time, but which component of the household production problem it actually changes. Technologies that look superficially similar can have sharply divergent effects on how families allocate their hours.

The framework builds on a long tradition in economics dating back to Gary Becker’s landmark 1965 theory of time allocation, in which households are treated as small production units that combine time and market goods to produce things people value, such as clean homes and cooked meals. Later work by Robert Gronau, Jacob Mincer, and others refined this approach, and quantitative studies by Jeremy Greenwood, Valerie Ramey, and their collaborators have used it to explain long-run trends in work and leisure. What Bhattacharjee and Haase add is an explicit distinction between two classes of technology that existing treatments often blur together.

The first class consists of efficiency-improving technologies: innovations that reduce the time required to produce one unit of a home-produced good. A robotic vacuum cleaner is a canonical example. It lowers the labor cost of each square meter cleaned, but it does nothing to change the price of the market alternative, such as hiring a cleaning service. The second class consists of technologies that lower the full price of market substitutes. The full price combines the money outlay with the time a household must spend obtaining the good. On-demand food delivery platforms are the clearest modern case: they slash both the waiting time and the coordination cost of replacing a home-cooked dinner with a restaurant meal.

The crucial difference lies in what happens to demand. When a technology makes home production more efficient, it effectively makes home-produced goods cheaper to produce, and households respond by consuming more of them. A robot vacuum may clean faster, but families may respond by expecting cleaner floors, more frequent cleaning, or larger homes that generate more work. The net effect on total housework time is therefore ambiguous: the induced increase in consumption of the home-produced good may be smaller than, equal to, or larger than the direct per-unit time savings. This is why a century of appliances produced only modest reductions in housework time. Efficiency gains were largely absorbed by rising standards of home-produced output.

Technologies that lower the full price of market substitutes work through a different channel. They make it cheaper, in both money and time, to buy the good instead of making it at home. When the elasticity of substitution between home-produced and market goods exceeds the aggregate demand elasticity, households systematically substitute away from home production, and housework time falls. In the authors’ formal model, the derivative of home-produced output with respect to the full price of market goods equals the market share times the difference between the substitution elasticity and the demand elasticity, a condition that produces a clear prediction rather than an ambiguous one.

To illustrate the mechanisms, the paper examines three contemporary technologies. Robotic cleaning devices represent the efficiency-improving case: they reduce the time per unit of cleaning but leave the market alternative untouched, so their effect on total cleaning time is theoretically indeterminate. Food delivery platforms represent the full-price case: by collapsing the time cost of acquiring prepared food, they generate consistent and measurable reductions in domestic food preparation time, a finding echoed by recent empirical work on delivery platforms published in Management Science. Meal kit services occupy an intermediate position, partially outsourcing shopping and portioning while leaving cooking itself at home, so their time effects fall between the two poles.

The authors organize these patterns using data from the American Time Use Survey, the U.S. Bureau of Labor Statistics survey that has tracked how Americans spend their hours since 2003. The series covering 2003 to 2019 and, after the pandemic disruption of 2020, 2021 to 2024, reveals the divergent time-use trajectories that the framework is designed to explain: persistent housework categories that resist efficiency gains alongside food-related categories that respond visibly to the arrival of delivery platforms. The survey data are publicly available, and the paper’s supplementary appendix derives the key equations from first principles under two-stage budgeting, including a worked Cobb-Douglas example in which the substitution and demand elasticities both equal one.

The implications extend beyond household appliances. Firms and policymakers routinely promote time-saving technologies on the assumption that they will reduce the time households devote to unpaid work, and the economic value of that assumption is enormous, shaping product marketing, forecasts of labor supply, and debates about gender inequality in domestic labor. If the technology in question is an efficiency improvement, the framework warns, the promised time savings may be quietly consumed by higher standards of home production. If instead the technology lowers the full price of a market substitute, and households are willing to substitute between home and market goods, the time savings are far more likely to materialize.

The analysis also speaks to a broader puzzle in economic history. Studies of the twentieth century, including Ramey’s reconstruction of home production time from old surveys and Bowden and Offer’s comparison of the United States and Britain, documented that the appliance revolution coincided with rising standards of cleanliness, childcare, and meal preparation rather than a dramatic collapse of housework. Bhattacharjee and Haase’s framework gives that historical pattern a precise analytical form: the appliance era was dominated by efficiency improvements, while the platform era, with its delivery apps and gig-economy services, is dominated by full-price reductions. The technologies of the twenty-first century may finally deliver the time savings that the twentieth century promised, not because they are better machines, but because they change a different parameter of the household problem altogether.

Subject of Research: How different classes of household technology affect time spent on home production

Article Title: Home Production and Technology: Why Time-Saving Innovations Do Not Always Save Time

Article References: Bhattacharjee, S., & Haase, T. (2026). Home Production and Technology: Why Time-Saving Innovations Do Not Always Save Time. Atlantic Economic Journal. https://doi.org/10.1007/s11293-026-09864-4

Image Credits: AI Generated

DOI: 10.1007/s11293-026-09864-4

Keywords: household production, time allocation, labor-saving technology, home appliances, food delivery platforms, meal kits, robotic vacuum cleaners, American Time Use Survey, substitution elasticity, full price, consumer behavior, economic theory

The research team, led by corresponding author Jade McNamara of the University of Maine School of Food and Agriculture, surveyed 501 undergraduates and conducted focus groups with 20 students to capture both quantitative and qualitative dimensions of campus eating. On the quantitative side, participants scored an average of 4.8 out of 5 on the total protein foods component of the Short Healthy Eating Index, a validated screening tool that estimates adherence to dietary guidance. That near-perfect score indicates that, at least by standard measures of adequacy, these students were not protein deficient. They were eating enough protein-rich foods to satisfy federal dietary recommendations, a result that might ordinarily prompt administrators to declare the protein question settled.

But the qualitative data told a very different story. When students described their day-to-day encounters with protein foods in campus dining halls, a consistent pattern of frustration emerged. Participants cited limited variety and unappealing options, heavily processed choices, fried preparation methods, inconsistent quality, flavorless preparations, and a scarcity of healthy alternatives. One student described campus dining as offering, in their words, “the slim pickings for healthy foods that are protein-rich.” Another noted that even when protein-rich options were technically available, “they’re just not appetizing.” These are not the complaints of students who lack access to protein; they are complaints from students who lack access to protein they find desirable.

“Having protein on the menu doesn’t necessarily mean students see it as a good option,” McNamara said in the release accompanying the study. “Our findings suggest campuses should think beyond simply providing protein and consider whether students have access to protein choices they find flavorful, varied and prepared in ways they perceive as healthful.” That reframing is technically significant for foodservice evaluation. Nutritional adequacy metrics capture what is served, but they do not capture whether the served food competes successfully for a student’s attention and appetite. A menu can pass every adequacy test while failing the behavioral test of actually being chosen, and the study suggests that gap may be widespread.

The protein findings sit within a broader and more troubling nutritional picture. In this sample of undergraduates, the average Healthy Eating Index score was just 47.7 out of 100, well below levels associated with high-quality overall diets, and 33.7 percent of participants reported experiencing low or very low food security. Food security, as measured in nutrition research, reflects reliable access to enough food for an active, healthy life, and rates above thirty percent in a college population signal substantial unmet need. Students described a cascade of barriers to healthier eating: rising food costs, limited time, restricted kitchen access, minimal cooking equipment, transportation challenges, and the constraints of residence hall living.

For many students, the practical reality of campus life meant preparing meals with little more than a microwave while depending heavily on dining halls that often failed to offer protein options they considered appealing. This convergence of constraints is technically important because it means students cannot simply opt out of the campus food system when it disappoints them. A student with no kitchen, no transportation, and a tight budget has limited ability to substitute off-campus or home-prepared meals for dining hall offerings. The result is a captive audience whose dietary quality is shaped substantially by decisions made by campus foodservice operators, which amplifies the consequences of menus that emphasize fried or heavily processed protein preparations over fresher, more varied alternatives.

The study also explored a potential intervention that has attracted growing interest in campus food circles: meal-kit delivery services. Nearly 90 percent of the surveyed students had never used one, but many believed meal kits could help address some of the barriers they experienced. Students valued the convenience, simple preparation, portioned ingredients, and customizable meals that meal kits provide, features that map directly onto the constraints of limited time, minimal equipment, and restricted kitchen access documented elsewhere in the study. Affordability, however, remained the biggest concern, suggesting that any future campus meal-kit program would need to balance convenience against cost if it hopes to reach the students facing the greatest food insecurity.

It is worth noting the methodological limits the researchers themselves flagged. This was a cross-sectional study, meaning it describes student behaviors and perceptions at a single point in time and cannot establish cause and effect. The findings rest on self-reported data from one rural university, and the survey response rate was low at 6.4 percent, which may limit generalizability to all college students. Meal kits were not actually tested in the study, so the research cannot determine whether they improve diet quality, food security, or other health outcomes. The National Pork Board provided funding for the project, though the authors declared no conflicts of interest. These caveats do not erase the central finding, but they do mean the results should be read as a well-documented snapshot of one campus rather than a definitive national portrait.

Still, the practical implications for campus dining are concrete. The researchers argue that the next opportunity for campus foodservice may not be serving more protein but serving protein in ways students are more likely to choose: options that are flavorful, varied, high-quality, convenient, affordable, prepared in ways students perceive as healthful, such as not fried and not cooked in a lot of grease, and easy to incorporate into busy student lifestyles. For foodservice operators, that could mean building meals around versatile proteins that pair naturally with vegetables, whole grains, and globally inspired flavors, improving both the appeal and the overall quality of campus meals. Designing dishes around proteins that complement a range of ingredients and cuisines may also help increase the appeal of vegetables, whole grains, and other foods students are routinely encouraged to eat more often.

“The takeaway isn’t that colleges need to serve more protein,” said Kent Harrison, Assistant Vice President of Channel Marketing at the National Pork Board. “It’s that students want protein they’ll actually choose to eat. They described wanting options that are flavorful, varied, convenient and prepared in ways they perceive as healthful. That’s an important distinction for campus dining programs.” The researchers say the findings provide a roadmap for evaluating practical meal solutions designed around students’ real-world preferences, and the study’s broader message resonates beyond campus walls. In institutional foodservice settings everywhere, adequacy is not the same as appeal, and the gap between the two may be one of the most underappreciated determinants of whether people actually eat well.

Subject of Research: College student protein intake and perceptions of campus dining hall food quality

Article Title: New study identifies a campus protein challenge: College students are getting enough protein but want healthier options

Article References: New study identifies a campus protein challenge: College students are getting enough protein but want healthier options. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: college students, campus dining, protein intake, Healthy Eating Index, food security, meal kits, nutrition research, University of Maine, dining halls, diet quality, foodservice, Journal of Human Nutrition and Dietetics