Acceptability and Experiences with the Use of 3D Scans to Measure Anthropometry of Young Children in Surveys and Surveillance Systems from the Perspective of Field Teams and Caregivers

Maria Elena D Jefferds; Zuguo Mei; Mireya Palmieri; Karla Mesarina; Dickens Onyango; Rael Mwando; Victor Akelo; Jianmeng Liu; Yubo Zhou; Ying Meng; Karim Bougma

doi:10.1093/cdn/nzac085

Acceptability and Experiences with the Use of 3D Scans to Measure Anthropometry of Young Children in Surveys and Surveillance Systems from the Perspective of Field Teams and Caregivers

Curr Dev Nutr. 2022 Apr 19;6(6):nzac085. doi: 10.1093/cdn/nzac085. eCollection 2022 Jun.

Authors

Affiliations

¹ Nutrition Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
² Nutrition and Micronutrients Unit, Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.
³ Kisumu County Department of Health, Kisumu, Kenya.
⁴ Office of the Director, Center for Global Health, Centers for Disease Control and Prevention, Kisumu, Kenya.
⁵ Institute of Reproductive and Child Health, Peking University, Beijing, China.
⁶ Centers for Disease Control and Prevention Foundation, Atlanta, GA, USA.

Abstract

Background: Portable systems using three-dimensional (3D) scan data to calculate young child anthropometry measurements in population-based surveys and surveillance systems lack acceptability data from field workers and caregivers.

Objective: The aim was to assess acceptability and experiences with 3D scans measuring child aged 0-59 mo anthropometry in population-based surveys and surveillance systems in Guatemala, Kenya, and China (0-23 mo only) among field teams and caregivers of young children as secondary objectives of an external effectiveness evaluation.

Methods: Manual data were collected twice and 12 images captured per child by anthropometrist/expert and assistant (AEA) field teams (individuals/country, n = 15/Guatemala, n = 8/Kenya, n = 6/China). Caregivers were interviewed after observing their child's manual and scan data collection. Mixed methods included an administered caregiver interview (Guatemala, n = 465; Kenya, n = 496; China, n = 297) and self-administered AEA questionnaire both with closed- and open-ended questions, and 6 field team focus group discussions (FGDs; Guatemala, n = 2; Kenya, n = 3; China, n = 1). Qualitative data were coded by 2 authors and quantitative data produced descriptive statistics. Mixed-method results were compared and triangulated.

Results: Most AEAs were female with secondary or higher education. Approximately 80-90% of caregivers were the child's mother. To collect all anthropometry data, 62.1% of the 29 AEAs preferred scan, while 31% preferred manual methods. In FGDs, a key barrier for manual and scan methods was lack of child cooperation. Across countries, approximately 30% to almost 50% of caregivers said their child was bothered by each manual and scan method, while ≥95% of caregivers were willing to have their child measured by scans in the future.

Conclusions: Use of 3D scans to calculate anthropometry measurements was generally at least as acceptable as manual anthropometry measurement among AEA field workers and caregivers of young children aged <60 mo, and in some cases preferred.

Keywords: 3D imaging system; acceptability; anthropometrists; anthropometry; caregivers; surveillance systems; surveys; young children.

Published by Oxford University Press on behalf of the American Society for Nutrition 2022.