Evidence map›Paper›PMID 35162351›Full record

ArticleInternational journal of environmental research and public health2022

Moving Food Assistance into the Digital Age: A Scoping Review.

Nina M Martin, Daniel J Barnett, Lisa Poirier, Samantha M Sundermeir, Melissa M Reznar, Joel Gittelsohn

Open access · goldAbstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

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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 2 institutions in 1 country.

Nina M MartinHuman Nutrition Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0002-3361-7037
Daniel J BarnettDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Lisa PoirierHuman Nutrition Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0003-4180-0357
Samantha M SundermeirHuman Nutrition Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0003-4471-0621
Melissa M ReznarDepartment of Interdisciplinary Health Sciences, Oakland University School of Health Sciences, Rochester, MI 48309, USA.ORCID 0000-0002-6304-3943
Joel GittelsohnHuman Nutrition Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0003-2761-3280
Johns Hopkins University · USOakland University · US

Funding

Clinical Research&Epidemiology in Diabetes&EndocrinologyT32DK062707 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Wendy Lynet Bennett · 2002 to 2026
$7.3M
NIDDK NIH HHS T32 DK062707
6 · The paper itself

Abstract

One of the most basic needs globally, food assistance refers to the multitude of programs, both governmental and non-governmental, to improve food access and consumption by food-insecure individuals and families. Despite the importance of digital and mobile Health (mHealth) strategies in food insecurity contexts, little is known about their specific use in food assistance programs. Therefore, the purpose of this study was to address that gap by conducting a scoping review of the literature. Keywords were defined within the concepts of food assistance and digital technology. The search included relevant peer-reviewed and grey literature from 2011 to 2021. Excluded articles related to agriculture and non-digital strategies. PRISMA guidelines were followed to perform a partnered, two-round scoping literature review. The final synthesis included 39 studies of which most (84.6%) were from the last five years and United States-based (93.2%). The top three types of articles or studies included text and opinion, qualitative research, and website, application, or model development (17.9%). The top three types of digital tools were websites (56.4%), smartphone applications (20.5%), and chatbots (5.1%). Nineteen digital features were identified as desirable. Most tools included just one or two features. The most popular feature to include was online shopping (

Indexed as

Food AssistanceMobile ApplicationsTelemedicineText MessagingHumansPandemicsdigital applicationsdigital healthdigital technologyfood assistancefood security

Identifiers

PMID35162351
PMCPMC8835246
OpenAlexW4210645860

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.