Perceptions and Acceptance of Menstrual Tracking Mobile Application among Adolescent Girls in Lafto Sub City, Addis Ababa
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Date
2023-07
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Addis Ababa University
Abstract
The world has been passing through the fourth industrial revolution and the traditional health system is evolving to a more digital health. The objective of this research is to examine perceptions of menstrual tracking mobile application acceptance among adolescent girls in Lafto sub city, Addis Ababa. I employed exploratory, cross-sectional design with integrated HBM and TAM to investigate the subject of the study. Additionally, the sample size was estimated using the inverse square root method and I adopted a combination of stratified and simple random sampling techniques. I also used the self administered questionnaires using Google doc and a total of 161 adolescent girls participated voluntarily. I used Stata version 17 for descriptive analysis and R studio software version 4.3 for PLS-SEM analysis. The finding of my research showed that the majority of the indicator error values produced by PLS–out of sample were less than those produced by linear regression model, which depicted that the overall model had a moderate predictive power. Moreover, all latent path coefficients were significant predictors of behavioral intention to use such apps except perceived threat to teenage pregnancy and menstrual irregularity. But, both had significant indirect effect. Based on the above findings, I recommend health software developers to increase the significant predictors (perceived usefulness, perceived ease of use, perceived self efficacy and cues to action) and to decrease perceived barriers which lead to positive attitude to use and self tracking motivations that ultimately impacts acceptance of such apps among adolescent girls.
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Menstrual Tracking Mobile Application; HBM; and TAM, PLS-SEM