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dc.date.accessioned2019-05-08T15:26:31Z
dc.date.available2019-05-08T15:26:31Z
dc.date.created2018-10-23T14:00:03Z
dc.date.issued2018
dc.identifier.citationPaulsen, Mari Mohn Hagen, Martina Lovise Lindhart Frøyen, Marte Hesvik Foss-Pedersen, Rikke Julie Bergsager, Dagfinn Tangvik, Randi Julie Andersen, Lene Frost . A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App. Journal of Medical Internet Research. 2018, 20(9)
dc.identifier.urihttp://hdl.handle.net/10852/67927
dc.description.abstractBackground: Disease-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. Objective: We 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. Methods: We 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. Results: Thirty-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. Conclusions: We 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.en_US
dc.languageEN
dc.relation.ispartofPaulsen, Mari Mohn (2020) Development and evaluation of a decision support system to prevent and treat disease-related malnutrition. Doctoral thesis http://hdl.handle.net/10852/77479
dc.relation.urihttp://hdl.handle.net/10852/77479
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood Appen_US
dc.typeJournal articleen_US
dc.creator.authorPaulsen, Mari Mohn
dc.creator.authorHagen, Martina Lovise Lindhart
dc.creator.authorFrøyen, Marte Hesvik
dc.creator.authorFoss-Pedersen, Rikke Julie
dc.creator.authorBergsager, Dagfinn
dc.creator.authorTangvik, Randi Julie
dc.creator.authorAndersen, Lene Frost
cristin.unitcode185,51,13,0
cristin.unitnameAvdeling for ernæringsvitenskap
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1622721
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Medical Internet Research&rft.volume=20&rft.spage=&rft.date=2018
dc.identifier.jtitleJournal of Medical Internet Research
dc.identifier.volume20
dc.identifier.issue9
dc.identifier.doihttp://dx.doi.org/10.2196/mhealth.9953
dc.identifier.urnURN:NBN:no-71084
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1438-8871
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/67927/2/A%2BDietary%2BAssessment%2BApp%2Bfor%2BHospitalized%2BPatients%2Bat%2BNutritional%2BRisk.pdf
dc.type.versionPublishedVersion


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