Evaluation of Commercially Available Infant-feeding Mobile Applications Using App Quality Evaluation Tool

J Nutr Educ Behav. 2023 Aug;55(8):604-611. doi: 10.1016/j.jneb.2023.05.249. Epub 2023 Jun 29.

Abstract

Objective: Assess the quality of free, commercially available infant-feeding mobile applications (apps) and their appropriateness for audiences with low income and of racial and ethnic diversity using the App Quality Evaluation tool.

Methods: Researchers selected apps using an iterative process (n = 6). Health professionals (n = 10) who work with mothers with infants and low income who completed the App Quality Evaluation tool for each app, consisting of 7 domains of app quality. Average domain scores were calculated for each app (> 8 indicates high quality).

Results: Evaluators highly rated app function and purpose for WebMD Baby (8.0 ± 1.8 and 8.2 ± 0.9, respectively) and Baby Center (8.0 ± 2.1 and 8.0 ± 2.6, respectively). For other apps, no domains were highly rated. No apps were rated highly for appropriateness (range 5.7-7.7) nor provided high-quality infant-feeding information for mothers with low income. Few apps were rated highly appropriate for mothers who are Black or Hispanic.

Conclusions and implications: Commercially available infant-feeding apps are of limited quality, indicating the need to develop high-quality apps for audiences with low income and Black and Hispanic identities.

Keywords: breastfeeding; complementary feeding; economic status; ethnic and racial minorities; mobile applications.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Black or African American
  • Feeding Behavior*
  • Female
  • Health Personnel
  • Hispanic or Latino
  • Humans
  • Infant
  • Infant Nutritional Physiological Phenomena*
  • Mobile Applications*
  • Mothers