Continued use of mobile apps for health promotion (Preprint)
BACKGROUND Mobile health (mhealth) applications (apps) promotion has been increasingly used year after year. They have recently played an important role in preventing an unhealthy society. Mhealth apps have been developed in different health areas, increasingly satisfying user goals. OBJECTIVE This study aimed to explore and understand important factors that contribute to use behavior and the intention to continue using mhealth apps, in combination with the self-determination theory, and produce well-being and consciousness in health. This study extends the findings to continue usage, along with the intrinsic motivation of each consumer that drives well-being. METHODS The proposed model was empirically tested using data from a survey. We obtained 306 valid responses through an online questionnaire created in Qualtrics from participants that use mhealth apps. We applied the partial least squares structural equation modelling (PLS-SEM) technique to test the research model. RESULTS The results show that the drivers of intrinsic motivation with statistical significance were perceived autonomy ((β ) ̂= 0.23; P < .001), perceived relatedness (β ̂ = 0.11; P = 0.049) and perceived competence (β ̂ = 0.50; P < .001). The drivers of perceived usefulness with statistical significance were confirmation (β ̂ = 0.74; P < .001). The precursors of satisfaction that were statistical significance were confirmation (β ̂ = 0.66; P < .001) and perceived usefulness ((β ) ̂= 0.22; P < .001). Use behavior was significantly influenced by intrinsic motivation (β ̂ = 0.58; P < .001) and perceived usefulness (β ̂ = 0.32; P < .001). The drivers of continuance intention to use with statistical significance were intrinsic motivation (β ̂ = 0.12; P = .018), perceived usefulness (β ̂ = 0.14; P = .004), satisfaction (β ̂ = 0.48; P < .001) and use behavior (β ̂ = 0.22; P < .001). Well-being was significantly influenced by use behavior (β ̂ = 0.62; P < .001) and continuance intention to use (β ̂ = 0.19; P = .001). The moderation effect of health consciousness in the relationship between use behavior and well-being (β ̂ = 0.14; P = .006) was statistically significant but the relationship between continuance intention to use and well-being (β ̂ = -0.06; P = .22), was not statistically significant. Therefore, the model explained over 50.8% of the total variance in intrinsic motivation, 54,4% of the variance in perceived usefulness, 69.6% of the variance satisfaction, 62.2% of the variance use behavior, 73.6% of the variance continuance intention to use, and 65.6% of the variance well-being. CONCLUSIONS Our study contributes to the continuance theory of the use of mhealth apps. The model found that intrinsic motivation, satisfaction, perceived usefulness, and user behavior significantly affect continuance intention. Our study demonstrates a significant role in a society that uses mhealth apps and that their use reflects well-being with the moderation effect of health consciousness.