Development of a Mobile Application to Represent Food Intake in Inpatients: Dietary Data Systematization

Author:

Molter ARJOORCID,Brazil PE,Fonseca CF,Bacelo ACORCID

Abstract

AbstractBackgroundNutritional risk situations related to decreased food intake in the hospital environment hinder nutritional care and increase malnutrition in hospitalized patients and are often associated with increased morbidity and mortality.ObjectiveTo develop and test the reliability of a mobile application as a virtual instrument to assess the acceptability and quality of hospital diets for inpatients.MethodsThis intra- and interobserver development and reliability study investigated an in-hospital food intake monitoring application based on a validated instrument for patients with infectious diseases who were treated at the Evandro Chagas National Institute of Infectious Diseases (INI/FIOCRUZ). The instrument was sequentially administered to patients 48 h after admission to INI hospital units using the printed instrument (paper) and the tested digital application (ARIETI) simultaneously. The tested reliability factor was the consistency of the method in the digital platform, checking whether the application provided equivalent data to the paper instrument, and finally a statistical analysis plan was performed in the R platform version 4.2.0. This project was authorized by the FIOCRUZ/INI Research Ethics Committee under CAAE 35379820.4.0000.5262.ResultsThe ARIETI was developed and tested for reliability in 70 participants, showing similar ability to show caloric intake in Kcal (p = 1.72 E-03), protein intake (g) (p = 0.006362), the proportion of caloric intake (p = 1.54 E-05), and the protein intake (p = 0.003501) relative to the prescribed goal. The application was superior to the paper-based instrument, accelerating the diagnosis of nutritional risk based on food intake by up to 250 s (50–350 min).ConclusionsThe ARIETI optimized the time between diagnosis of nutritional risk related to dietary intake and the nutritionist’s decision making, showing an improved ability to maintain information quality compared to the paper-based instrument.

Publisher

Cold Spring Harbor Laboratory

Reference29 articles.

1. FAO, organizador. Building resilience for food and food security. Rome: FAO; 2017. 117 p. (The state of food security and nutrition in the world).

2. Coloco RB , Holanda LB , Portero-Mclellan KC . Determinantes do grau de satisfação de pacientes internados referente a refeições oferecidas em um hospital universitário. Revista de Ciências Médicas. 2009;18(3).

3. Duarte A. Nutritional risk in hospitalized patients during hospital stay. Nutrición clínica y dietética hospitalaria. 2016;(3):146–52.

4. Fidelix MSP . Prevalência de desnutrição hospitalar em idosos. 2013;(1):9.

5. Alimentação hospitalar: proposições para a qualificação do Serviço de Alimentação e Nutrição, avaliadas pela comunidade científica. Ciênc saúde coletiva;fevereiro de,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3