Evidence map›Paper›PMID 36282563›Full record

ArticleJMIR formative research2022

Changes in Food Insecurity Among Individuals Using a Telehealth and Nutrition Platform: Longitudinal Study.

Shivani Bakre, Benjamin Shea, Kaylee Ortega, Jared Scharen, Jason Langheier, Emily Hu

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Food Delivery Apps and Their Potential to Address Food Insecurity in Older Adults: A Review.International journal of environmental research and public health · 2024
    Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Shivani Bakre *Foodsmart, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-0150-6770
Benjamin Shea *Foodsmart, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-7799-9711
Kaylee OrtegaFoodsmart, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4857-9472
Jared ScharenFoodsmart, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-1871-7283
Jason LangheierFoodsmart, San Francisco, CA, United States.ORCID https://orcid.org/0000-0001-9566-881X
Emily HuFoodsmart, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-2299-4072
Walmart (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFood insecurity is a complex public health problem affecting many individuals in the United States. Digital health interventions that promote behavior change and provide access to affordable and healthy food may help to alleviate food insecurity.

objectiveThe aim of this study was to characterize food-insecure users of Foodsmart, a telehealth and nutrition platform with meal planning, food ordering, nutrition education, budgeting, and grocery discount features, and to evaluate changes in diet and food insecurity.

methodsWe retrospectively analyzed data collected from 4595 adults who used the Foodsmart platform between February and October 2021. Participants self-reported their diet, demographics, biometrics, and food insecurity status in a 56-item questionnaire. Participants were reported to be food insecure if they answered "sometimes" or "often" to the question "How often does the food you buy not last and you don't have money to get more?" from the United States Department of Agriculture's Household Food Security survey. We examined baseline characteristics of participants by food insecurity status, associations between characteristics and baseline food insecurity, and changes in diet quality and food insecurity status. To evaluate potential causes of reversing food insecurity, the use of 6 Foodsmart features was compared between food-insecure participants who achieved food security versus food-insecure participants who remained food insecure, based on their last response to the food insecurity question.

resultsWe found that 16% (742/4595) of participants were food insecure at baseline. Participants who were food insecure at baseline were more likely to be obese, to have at least one chronic condition, to have a lower diet quality, to cook less frequently at home, to think healthy food is too expensive, and less likely to order takeout or eat at a restaurant. Among participants who were food insecure at baseline, 61% (451/742) improved their nutrition and 29% (217/742) responded that they were food secure at follow-up, with an increasing percentage achieving food security with longer enrollment time. Using a multivariable logistic regression model, we found that age, diabetes, prediabetes, BMI categories, and diet quality at baseline were statistically significantly associated with the likelihood of being food insecure at baseline. Among those who were food insecure at baseline, there was a higher relative proportion of participants who achieved food security and used the "deals" (28.6% higher), "CookItNow" (36.4% higher), and "telenutrition" (27.5% higher) features compared to those who remained food insecure.

conclusionsThis study assesses the characteristics of individuals enrolled on the Foodsmart platform who answered the food insecurity question. We found that a significant number of participants who were food insecure at enrollment achieved food security. This finding shows that telehealth and nutrition platforms may potentially help users improve household food security.

Indexed as

COVID-19dietfood insecuritymeal planningnutritionSNAPtelehealthtele-nutrition

Identifiers

PMID36282563
PMCPMC9644245
OpenAlexW4296657469

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.