The Use of Technology in Identifying Hospital Malnutrition: Scoping Review

Journals

1. Paulsen M, Hagen M, Frøyen M, Foss-Pedersen R, Bergsager D, Tangvik R, Andersen L. 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 View
2. Paulsen M, Varsi C, Paur I, Tangvik R, Andersen L. 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 View
3. Pokharel N, Katwal G, Adhikari S. Comparison of preoperative Nutritional Risk Index and Body Mass Index for predicting immediate postoperative outcomes following major gastrointestinal surgery: Cohort-study. Annals of Medicine and Surgery 2019;48:53 View
4. Williams P, Lovelock B, Cabarrus T, Harvey M. Improving Digital Hospital Transformation: Development of an Outcomes-Based Infrastructure Maturity Assessment Framework. JMIR Medical Informatics 2019;7(1):e12465 View
5. Cernea S. Nutritional Status and Clinical Outcomes of Cardiac Patients in Acute Settings. Journal Of Cardiovascular Emergencies 2018;4(1):5 View
6. Ceppa F, Mancini A, Tuohy K. Current evidence linking diet to gut microbiota and brain development and function. International Journal of Food Sciences and Nutrition 2019;70(1):1 View
7. Chan L, Vasilevsky N, Thessen A, McMurry J, Haendel M. The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research. Database 2021;2021 View
8. Groenendaal W, Lee S, van Hoof C. Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions. JMIR Biomedical Engineering 2021;6(2):e22911 View
9. McCray S, Barsha L, Maunder K. Implementation of an electronic solution to improve malnutrition identification and support clinical best practice. Journal of Human Nutrition and Dietetics 2022;35(6):1071 View
10. Fisher E, Luscombe G, Schmidt D, Brown L, Duncanson K. Using an interactive nutrition technology platform to predict malnutrition risk. Journal of Human Nutrition and Dietetics 2023;36(3):912 View
11. Guasti L, Dilaveris P, Mamas M, Richter D, Christodorescu R, Lumens J, Schuuring M, Carugo S, Afilalo J, Ferrini M, Asteggiano R, Cowie M. Digital health in older adults for the prevention and management of cardiovascular diseases and frailty. A clinical consensus statement from the ESC Council for Cardiology Practice/Taskforce on Geriatric Cardiology, the ESC Digital Health Committee and the ESC Working Group on e‐Cardiology. ESC Heart Failure 2022;9(5):2808 View
12. Long Z, Huang S, Zhang J, Zhang D, Yin J, He C, Zhang Q, Xu H, He H, Sun H, Xie K. A Digital Smartphone-Based Self-administered Tool (R+ Dietitian) for Nutritional Risk Screening and Dietary Assessment in Hospitalized Patients With Cancer: Evaluation and Diagnostic Accuracy Study. JMIR Formative Research 2022;6(10):e40316 View
13. Chamberlain D, Doeltgen S, Knowles R, Yaxley A, Miller M. Identification of nutritional risk in the acute care setting: progress towards a practice and evidence informed systems level approach. BMC Health Services Research 2021;21(1) View
14. Yaxley A, Knowles R, Doeltgen S, Chamberlain D, Damarell R, Miller M. Indicators of nutritional risk in hospital inpatients: a narrative review. Journal of Nutritional Science 2021;10 View
15. Varsi C, Andersen L, Koksvik G, Severinsen F, Paulsen M. Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study. BMC Health Services Research 2023;23(1) View
16. Roberts S, Marshall A, Bromiley L, Hopper Z, Byrnes J, Ball L, Collins P, Kelly J. Patient-Led, Technology-Assisted Malnutrition Risk Screening in Hospital: A Feasibility Study. Nutrients 2024;16(8):1139 View