Evidence map›Paper›PMID 30194059›Full record

ArticleJMIR mHealth and uHealth2018

A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App.

Mari Mohn Paulsen, Martina Lovise Lindhart Hagen, Marte Hesvik Frøyen, Rikke Julie Foss-Pedersen, Dagfinn Bergsager, Randi Julie Tangvik, Lene Frost Andersen

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 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

7 authors at 2 institutions in 1 country.

Mari Mohn PaulsenNational Advisory Unit on Disease-Related Malnutrition, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-9768-5610
Martina Lovise Lindhart HagenInstitute of Basic Medical Sciences, Department of Nutrition, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0001-7968-6292
Marte Hesvik FrøyenThe University Center for Information Technology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-2683-1887
Rikke Julie Foss-PedersenThe University Center for Information Technology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-8665-9310
Dagfinn BergsagerThe University Center for Information Technology, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0003-4449-1211
Randi Julie TangvikNational Advisory Unit on Disease-Related Malnutrition, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0001-6951-9319
Lene Frost AndersenNational Advisory Unit on Disease-Related Malnutrition, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0003-0236-1558
University of Oslo · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease-related malnutrition is a common challenge among hospitalized patients. There seems to be a lack of an effective system to follow-up nutritional monitoring and treatment of patients at nutritional risk after risk assessment. We identify a need for a more standardized system to prevent and treat disease-related malnutrition.

objectiveWe aimed to develop a dietary assessment app for tablets for use in a hospital setting and to evaluate the app's ability to measure individual intake of energy, protein, liquid, and food and beverage items among hospitalized patients for two days. We also aimed to measure patients' experiences using the app.

methodsWe have developed the MyFood app, which consists of three modules: 1) collection of information about the patient, 2) dietary assessment function, and 3) evaluation of recorded intake compared to individual needs. We used observations from digital photography of the meals, combined with partial weighing of the meal components, as a reference method to evaluate the app's dietary assessment system for two days. Differences in the intake estimations of energy, protein, liquid, and food and beverage items between MyFood and the photograph method were analyzed on both group and individual level.

resultsThirty-two patients hospitalized at Oslo University Hospital were included in the study. The data collection period ran from March to May 2017. About half of the patients had ≥90% agreement between MyFood and the photograph method for energy, protein, and liquid intake on both recording days. Dinner was the meal with the lowest percent agreement between methods. MyFood overestimated patients' intake of bread and cereals and underestimated fruit consumption. Agreement between methods increased from day 1 to day 2 for bread and cereals, spreads, egg, yogurt, soup, hot dishes, and desserts. Ninety percent of participants reported that MyFood was easy to use, and 97% found the app easy to navigate.

conclusionsWe developed the MyFood app as a tool to monitor dietary intake among hospitalized patients at nutritional risk. The recorded intake of energy, protein, and liquid using MyFood showed good agreement with the photograph method for the majority of participants. The app's ability to estimate intake within food groups was good, except for bread and cereals which were overestimated and fruits which were underestimated. The app was well accepted among study participants and has the potential to be a dietary assessment tool for use among patients in clinical practice.

Indexed as

decision support systemdietary assessmentdisease-related malnutritioneHealthmHealthvalidation study

Identifiers

PMID30194059
PMCPMC6231855
OpenAlexW2799321837

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.