1London School of Hygiene and Tropical Medicine,Keppel Street,London WC1E 7HT,UK.
2Institute for Global Health,University College London,London,UK.
Public Health Nutr. 2018 Feb;21(2):260-272. doi: 10.1017/S136898001700204X. Epub 2017 Aug 31.
To outline the development of a smartphone-based tool to collect thrice-repeated 24 h dietary recall data in rural Nepal, and to describe energy intakes, common errors and researchers' experiences using the tool.
We designed a novel tool to collect multi-pass 24 h dietary recalls in rural Nepal by combining the use of a CommCare questionnaire on smartphones, a paper form, a QR (quick response)-coded list of foods and a photographic atlas of portion sizes. Twenty interviewers collected dietary data on three non-consecutive days per respondent, with three respondents per household. Intakes were converted into nutrients using databases on nutritional composition of foods, recipes and portion sizes.
Dhanusha and Mahottari districts, Nepal.
Pregnant women, their mothers-in-law and male household heads. Energy intakes assessed in 150 households; data corrections and our experiences reported from 805 households and 6765 individual recalls.
Dietary intake estimates gave plausible values, with male household heads appearing to have higher energy intakes (median (25th-75th centile): 12 079 (9293-14 108) kJ/d) than female members (8979 (7234-11 042) kJ/d for pregnant women). Manual editing of data was required when interviewers mistook portions for food codes and for coding items not on the food list. Smartphones enabled quick monitoring of data and interviewer performance, but we initially faced technical challenges with CommCare forms crashing.
With sufficient time dedicated to development and pre-testing, this novel smartphone-based tool provides a useful method to collect data. Future work is needed to further validate this tool and adapt it for other contexts.
概述一款基于智能手机的工具的开发,以收集尼泊尔农村地区三次重复 24 小时膳食回忆数据,并描述该工具的能量摄入量、常见错误和研究人员的使用经验。
我们设计了一种新工具,通过在智能手机上使用 CommCare 问卷、纸质表格、QR(快速响应)编码食物清单和部分大小摄影图谱,在尼泊尔农村收集多通道 24 小时膳食回忆。20 名访谈员每天收集 3 名受访者的 3 天非连续饮食数据,每个家庭有 3 名受访者。摄入量通过食物营养成分数据库、食谱和部分大小数据库转换为营养素。
尼泊尔丹努沙和马哈特拉里地区。
孕妇、婆婆和男性户主。评估了 150 户家庭的能量摄入量;从 805 户家庭和 6765 名个体回忆中报告了数据更正和我们的经验。
膳食摄入量估计值给出了合理的值,男性户主的能量摄入量似乎更高(中位数(25 百分位数-75 百分位数):12079(9293-14108)kJ/d),而女性成员(孕妇为 8979(7234-11042)kJ/d)。当访谈员将部分误认为食物代码和对食物清单上没有的项目进行编码时,需要手动编辑数据。智能手机能够快速监测数据和访谈员的表现,但我们最初面临 CommCare 表单崩溃的技术挑战。
通过投入足够的时间进行开发和预测试,这款新颖的基于智能手机的工具提供了一种有用的方法来收集数据。需要进一步验证该工具并将其适应其他环境。