Development of mobile phone-based dietary data collection applications in pregnant women and infants for the M-SAKHI trial

IF 2.4 Q3 NUTRITION & DIETETICS
Shilpa Bhaise, Archana Patel, Varsha Dhurde, Michelle Almeida, Tran Do, Sumithra Muthayya, Michael Dibley
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Abstract

Abstract In nutritional epidemiological studies, it is imperative to collect high-quality data to ensure accurate dietary assessment. However, dietary data collection using traditional paper forms has several limitations that may compromise data quality. The aim of this study was to propose novel methods to design and develop software applications (Apps) for dietary data collection to assess the nutritional status of pregnant women and infants. This study is part of the M-SAKHI (Mobile-Solutions for Aiding Knowledge for Health Improvement) cluster randomised controlled trial (cRCT) implemented in central India. Three tablet-based software Apps were developed in this study: the ACEC (Automated Coding and Energy Calculation) App to establish a generic cooked food recipe database, the FFQ (Food Frequency Questionnaire), and the IDR (24 h Infant Dietary Recall) Apps to collect dietary data from pregnant women and their infants from rural area of Bhandara and Nagpur districts. Regional food lists, recipes, and portion resource kits were developed to support the data collection using the Apps. In conclusion, the Apps were user-friendly, required minimal prior training, had built-in validation checks for erroneous data entry and provided automated calculations. The Apps were successfully deployed in low-resource rural settings to accurately collect high-quality regional cooked food data and individual-level dietary data of pregnant women and their infants.
为 M-SAKHI 试验开发基于手机的孕妇和婴儿饮食数据收集应用程序
在营养流行病学研究中,收集高质量的数据是保证准确膳食评估的必要条件。然而,使用传统纸质表格收集膳食数据有一些限制,可能会影响数据质量。本研究的目的是提出设计和开发用于膳食数据收集的软件应用程序(Apps)的新方法,以评估孕妇和婴儿的营养状况。这项研究是在印度中部实施的M-SAKHI(帮助改善健康知识的移动解决方案)集群随机对照试验(cRCT)的一部分。本研究开发了三个基于平板电脑的软件应用程序:ACEC(自动编码和能量计算)应用程序,用于建立通用熟食配方数据库;FFQ(食物频率问卷)应用程序;IDR(24小时婴儿饮食回忆)应用程序,用于收集班达拉和那格浦尔农村地区孕妇及其婴儿的饮食数据。开发了区域食物清单、食谱和份量资源包,以支持使用应用程序进行数据收集。总之,这些应用程序是用户友好的,需要最少的事先培训,内置了对错误数据输入的验证检查,并提供了自动计算。这些应用程序成功地部署在资源匮乏的农村环境中,以准确收集高质量的区域熟食数据和孕妇及其婴儿的个人饮食数据。
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来源期刊
Journal of Nutritional Science
Journal of Nutritional Science NUTRITION & DIETETICS-
CiteScore
3.00
自引率
0.00%
发文量
91
审稿时长
7 weeks
期刊介绍: Journal of Nutritional Science is an international, peer-reviewed, online only, open access journal that welcomes high-quality research articles in all aspects of nutrition. The underlying aim of all work should be, as far as possible, to develop nutritional concepts. JNS encompasses the full spectrum of nutritional science including public health nutrition, epidemiology, dietary surveys, nutritional requirements, metabolic studies, body composition, energetics, appetite, obesity, ageing, endocrinology, immunology, neuroscience, microbiology, genetics, molecular and cellular biology and nutrigenomics. JNS welcomes Primary Research Papers, Brief Reports, Review Articles, Systematic Reviews, Workshop Reports, Letters to the Editor and Obituaries.
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