MyFood - digital nutritional monitoring
Approximately 30% of patients in hospitals, nursing homes and home-based care are malnourished or at malnutrition risk. We develop and evaluate the digital MyFood system for improved nutritional treatment and care.
Main menu in the MyFood app
In a PhD project, we have developed, validated and studied MyFood - a digital decision support system to prevent and treat disease-related malnutrition. The MyFood system consists of an app for use among patients and a website for use among nurses and health care professionals. In MyFood the patient or a nurse record food intake and nutrition-related symptoms. MyFood calculates automatically the patients' needs for energy, protein, and liquids and compares the intake with the individual patient's requirements. The nurse receives a report including tailored recommendations for nutritional treatment and a draft for an individualized nutritional care plan.
We aim to deliever and evaluate MyFood for different actors in the healthcare sector for the benefit of patients and the society.
Disease-related malnutrition is a challenge in the healthcare system. Approximately 30% of patients are malnourished or at malnutrition risk. Malnutrition leads to increased morbidity and mortality rates among the patients, a longer length of hospital stay, higher readmission rates, and increased healthcare costs. Despite national guidelines and the incorporation of disease-related malnutrition in the national patient safety program, several barriers for good nutritional care and treatment exist. The nurses experience a lack of knowledge, competence, and tools to follow-up this large group of patients.
A 3-year PhD project which included the development, evaluation and testing of MyFood was funded by the South-Eastern Norway Regional Health Authority and the Throne Holst Foundation at the University of Oslo. The further innovation work is supported by SPARK Norway, UiO and the Research Council of Norway.
The MyFood innovation project is a collaboration between the Department of Nutrition at the University of Oslo, the University Center for Information Technology and Inven2.
Paulsen MM, Varsi C, Andersen LF. Process evaluation of the implementation of a decision support system to prevent and treat disease-related malnutrition in a hospital setting. BMC Health Serv Res 21, 281 (2021). https://doi.org/10.1186/s12913-021-06236-3
Paulsen MM, Paur I, Gjestland J, Varsi C, Tangvik RJ, Andersen LF. Effects of using the MyFood decision support system on hospitalized patients' nutritional status and treatment: A randomized controlled trial. Clin Nutr. 2020 Mar 19, pii: S0261-5614(20)30115-1. DOI: 10.1016/j.clnu.2020.03.012 [Epub ahead of print]
Paulsen MM, Paur I, Tangvik RJ, Varsi C, Andersen LF. MinMat: et digitalt verktøy for oppfølging av underernærte pasienter. Norsk Tidsskrift for ernæring. Nr. 4 - 17.12.2019.
Paulsen MM, Varsi C, Paur I, Tangvik RJ, Andersen LF. Barriers and Facilitators for Implementing a Decision Support System to Prevent and Treat Disease-Related Malnutrition in a Hospital Setting: Qualitative Study. JMIR formative research. 2019;3(2):e11890. DOI: 10.2196/11890
Paulsen MM, Hagen MLL, Froyen MH, Foss-Pedersen RJ, Bergsager D, Tangvik RJ, et al. A Dietary Assessment App for Hospitalized Patients at Nutritional Risk: Development and Evaluation of the MyFood App. JMIR mHealth and uHealth. 2018;6(9):e175. DOI: 10.2196/mhealth.9953