Personalized Nutritional Guidance System to Prevent Malnutrition in Pluripathological Older Patients

Malnutrition is a frequent problem in the elderly population, who usually is affected by one or more pathologies. The health status of these patients can get worsened if malnutrition is left untreated. Nutritional guidelines have been developed to fulfil the nutritional needs derived from certain pathologies, but still are not easy to use. Digital tools can help implement and use these guidelines in real clinical scenarios. Current solutions are designed around a single pathology or specific scenario, but the pluripathologic scenario presents a challenge when it comes to provide nutritional support. In this paper, we present an adaptative tool that provides personalized nutritional recommendations for pluripathological patients in an efficient way, and can be extended to include other pathologies.This study was supported by the grant ZL 2019/00647 NUTRIGEP from Eusko Jaurlaritza (Basque Government) and the European Union under the European Regional Development Fund (ERDF)

A Survey of implementation status of child nutrition surveillance systems, registry systems and information systems:A scoping literature review protocol

Abstract Introduction Child malnutrition in all forms is known globally as the leading cause of poor health. Planning and solving this challenge require sources that collect data accurately. Nutrition surveillance systems (NSS), nutrition registry systems (NRS) and nutrition information systems (NIS) collect and analyse data on nutrition status. Unfortunately, these systems only exist in a few countries. The methods that these systems use significantly differ and their effectiveness is also scarcely researched. This scoping literature review aimed to conduct a survey on NSS, NRS and NIS that collect data on children’s nutrition at national and international levels, along with their attributes. Methods and analysis The methods and analyses of this scoping review follow the Arksey and O’Malley’s methodology. This scoping literature review will be conducted in five stages based on this method. (1) The main research question and subquestions are identified. (2) Relevant studies are extracted. In this step, we will search electronic databases including PubMed, Scopus and ISI Web of Science. A manual search will also be performed in Google Scholar, grey literature, and the websites of organisations such as WHO, UNICEF, Centers for Disease Control and Prevention, National Health Service, International Food Policy Research Institute, Food and Agriculture Organization, Food and Nutrition Technical Assistance, United Nations World Food Programme, and United Nations System Standing Committee on Nutrition. (3) Extracted studies are separately reviewed by two reviewers based on inclusion and exclusion criteria, and eligible studies are then selected. A third reviewer resolves disagreements. (4) A checklist is developed to extract the features. Data of included systems are separately extracted and entered into a checklist by two reviewers. A third reviewer then resolves any disagreement. (5) Data are summarised and analysed and are presented in tables and figures. Discussion This scoping literature review provides strong evidence of the status of systems that collect data on the status of child nutrition. This evidence can help select best practices which can be applied to develop future systems. It can also be a positive step towards achieving an integrated system

The Nutrition Care Process in Diabetes Medical Nutrition Therapy

The purpose of this study was to examine documentation quality and outcomes in a sample (n = 564 patient cases) of Diabetes Registry data from ANDHII, and to determine the validity and reliability of a revised NCP quality audit tool. RDNs have struggled to objectively demonstrate the value of MNT, which has limited MNT reimbursement and RDN recognition amongst allied healthcare providers. Development of a standardized process (the NCP), standardized language (the NCPT), and ANDHII have provided a means through which RDNs can improve MNT documentation and capture outcomes data, but gaps in adequate utilization exist. The most common etiology term used in the Nutrition Diagnosis was food and nutrition related knowledge deficit (56.65%) despite knowledge-based Nutrition Assessment terms representing less than 3% of all Nutrition Assessment terms used. Nutrition Interventions were mostly derived from the Nutrition Education domain (63.88%) with only 4.04% of Nutrition Interventions derived from the Nutrition Counseling domain. Only 146 patient cases (26%) had at least one follow-up visit (M = 1.40 visits). Factors most significant for predicting problem resolution included presence of the evidence-diagnosis link (p = .033) and location (p =.001). The revised NCP quality audit tool was found to have high validity (relevance: S-CVI-UA = .958, S-CVI-Ave = .979; clarity: S-CVI-UA = .917, S-CVI-Ave = .958), moderate inter-rater reliability (a = .668), and low to moderate intra-rater reliability (rater CC a = .860, rater MC a = .319). The revised tool exposed disparities in RDN documentation of clear NCP linkages not previously captured from the existing Diet-NCP-Audit tool. Better training for RDNs in the NCP, NCPT, and ANDHII, as well as improvements in NCP application is critical. RDNs must improve NCP and NCP linkages documentation, and capture outcomes through ANDHII in order to elevate the dietetics profession, expand MNT accessibility, and improve global health