Quality evaluation of pregnancy-related mobile applications in South Korea: a descriptive study

Abstract

Purpose: This study aimed to describe the characteristics of mobile applications (apps) related to pregnancy in South Korea and evaluate their quality.Methods: We conducted a systematic search for pregnancy-related apps available in Korea in two app stores as of April 29, 2022. The quality of apps was assessed using the Korean translation of the Mobile Application Rating Scale for objective quality with four subdomains (engagement, function, aesthetics, and information) and four items for subjective quality. Results: In total, 163 apps were selected and reviewed. Both the objective and subjective quality of the apps were found to be desirable, with scores exceeding 3 out of 5 (range, 34–82). All subdomain scores in the objective quality assessment were also desirable. Among the four objective quality subdomains, aesthetics received the highest scores, followed by information, function, and engagement. In terms of subjective quality, the scores for a comprehensive overall evaluation, continuous use, and recommendation exceeded 3 out of 5, with the exception of payment. Only a small number of apps (n=4, 2.9%) were backed by a reliable authority, such as an expert review. Significant differences were observed in the objective quality of apps across different content categories (F=3.86, p=.003).Conclusion: Most pregnancy-related apps had desirable levels of objective and subjective quality. However, app content experts seldom provide reviews. It is crucial for nurses to recommend apps to expectant mothers that offer dependable content, regularly updated with the latest information.

Special issue on digital era education: Tracing digital health transformation in women’s health nursing

“…This special issue contains evidence of the digital transformation for women’s health, including women with cancer [ 4 ] and older adults [ 5 ], critical appraisal of mobile apps for pregnant women [ 6 ] and women’s health education using YouTube [ 7 ], and presents new challenges to incorporate artificial intelligence into simulation [ 8 ]. However, more evidence regarding interventions and frameworks and/or models that can enhance rigor of digital health-incorporated research is needed.…”