Published on 19.01.18 in Vol 6, No 1 (2018): Jan-Mar
Works citing "The Use of Technology in Identifying Hospital Malnutrition: Scoping Review"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7601):
(note that this is only a small subset of citations)
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Paulsen MM, Hagen MLL, Frøyen MH, Foss-Pedersen RJ, Bergsager D, Tangvik RJ, Andersen LF. 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
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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
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Pokharel N, Katwal G, Adhikari SK. 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
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Williams PA, 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
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. Nutritional Status and Clinical Outcomes of Cardiac Patients in Acute Settings. Journal Of Cardiovascular Emergencies 2018;4(1):5
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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
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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
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Groenendaal W, Lee S, van Hoof C. Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions. JMIR Biomedical Engineering 2021;6(2):e22911
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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
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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
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Guasti L, Dilaveris P, Mamas MA, Richter D, Christodorescu R, Lumens J, Schuuring MJ, Carugo S, Afilalo J, Ferrini M, Asteggiano R, Cowie MR. 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
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Long Z, Huang S, Zhang J, Zhang D, Yin J, He C, Zhang Q, Xu H, He H, Sun HC, 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
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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)
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Yaxley A, Knowles RK, Doeltgen SH, Chamberlain DJ, Damarell RA, Miller MD. Indicators of nutritional risk in hospital inpatients: a narrative review. Journal of Nutritional Science 2021;10
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Varsi C, Andersen LF, Koksvik GT, Severinsen F, Paulsen MM. 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)
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