Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study
Background: An increasing number of mobile health (mHealth) apps are becoming available for download and use on mobile devices. Even with the increase in availability and use of mHealth apps, there has still not been a lot of research into understanding the intention to use this kind of apps. Object...
| Authors: | , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2021 |
| Country: | España |
| Institution: | Universidad de Sevilla (US) |
| Repository: | idUS. Depósito de Investigación de la Universidad de Sevilla |
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| Online Access: | https://hdl.handle.net/11441/127662 https://doi.org/10.2196/27021 |
| Access Level: | Open access |
| Keyword: | mHealth apps mobile apps eHealth promotion of health TAM PLS–SEM COVID-19 |
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Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory StudyPalos Sánchez, Pedro RamiroSaura, José RamónRíos Martín, Miguel ÁngelAguayo Camacho, MarianomHealth appsmobile appseHealthpromotion of healthTAMPLS–SEMCOVID-19Background: An increasing number of mobile health (mHealth) apps are becoming available for download and use on mobile devices. Even with the increase in availability and use of mHealth apps, there has still not been a lot of research into understanding the intention to use this kind of apps. Objective: The purpose of this study was to investigate a technology acceptance model (TAM) that has been specially designed for primary health care applications. Methods: The proposed model is an extension of the TAM, and was empirically tested using data obtained from a survey of mHealth app users (n=310). The research analyzed 2 additional external factors: promotion of health and health benefits. Data were analyzed with a PLS–SEM software and confirmed that gender moderates the adoption of mHealth apps in Spain. The explanatory capacity (R2 for behavioral intention to use) of the proposed model was 76.4%. Likewise, the relationships of the external constructs of the extended TAM were found to be significant. Results: The results show the importance of healthy habits developed by using mHealth apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of eHealth as an agent for transforming attitudes; additionally, as more health benefits are obtained, ease of use becomes greater. Perceived usefulness (PU; β=.415, t0.001;4999=3.442, P=.001), attitude toward using (β=.301, t0.01;499=2.299, P=.02), and promotion of health (β=.210, t0.05;499=2.108, P=.03) were found to have a statistically significant impact on behavior intention to use eHealth apps (R2=76.4%). Perceived ease of use (PEOU; β=.179, t0.01;499=2.623, P=.009) and PU (β=.755, t0.001;499=12.888, P<.001) were found to have a statistically significant impact on attitude toward using (R2>=78.2%). Furthermore, PEOU (β=.203, t0.01;499=2.810, P=.005), health benefits (β=.448, t0.001;499=4.010, P<.001), and promotion of health (β=.281, t0.01;499=2.393, P=.01) exerted a significant impact on PU (R2=72.7%). Finally, health benefits (β=.640, t0.001;499=14.948, P<.001) had a statistically significant impact on PEOU (R2=40.9%), while promotion of health (β=.865, t0.001;499=29.943, P<.001) significantly influenced health benefits (R2=74.7%). Conclusions: mHealth apps could be used to predict the behavior of patients in the face of recommendations to prevent pandemics, such as COVID-19 or SARS, and to track users’symptoms while they stay at home. Gender is a determining factor that influences the intention to use mHealth apps, so perhaps different interfaces and utilities could be designed according to gender.Premio Trimestral Publicación Científica Destacada de la US. Facultad de Ciencias Económicas y EmpresarialesJMIR PublicationsEconomía Financiera y Dirección de Operaciones2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/127662https://doi.org/10.2196/27021reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésJMIR MHEALTH AND UHEALTH, 9 (9)https://mhealth.jmir.org/2021/9/e27021info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1276622026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| title |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| spellingShingle |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study Palos Sánchez, Pedro Ramiro mHealth apps mobile apps eHealth promotion of health TAM PLS–SEM COVID-19 |
| title_short |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| title_full |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| title_fullStr |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| title_full_unstemmed |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| title_sort |
Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study |
| dc.creator.none.fl_str_mv |
Palos Sánchez, Pedro Ramiro Saura, José Ramón Ríos Martín, Miguel Ángel Aguayo Camacho, Mariano |
| author |
Palos Sánchez, Pedro Ramiro |
| author_facet |
Palos Sánchez, Pedro Ramiro Saura, José Ramón Ríos Martín, Miguel Ángel Aguayo Camacho, Mariano |
| author_role |
author |
| author2 |
Saura, José Ramón Ríos Martín, Miguel Ángel Aguayo Camacho, Mariano |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Economía Financiera y Dirección de Operaciones |
| dc.subject.none.fl_str_mv |
mHealth apps mobile apps eHealth promotion of health TAM PLS–SEM COVID-19 |
| topic |
mHealth apps mobile apps eHealth promotion of health TAM PLS–SEM COVID-19 |
| description |
Background: An increasing number of mobile health (mHealth) apps are becoming available for download and use on mobile devices. Even with the increase in availability and use of mHealth apps, there has still not been a lot of research into understanding the intention to use this kind of apps. Objective: The purpose of this study was to investigate a technology acceptance model (TAM) that has been specially designed for primary health care applications. Methods: The proposed model is an extension of the TAM, and was empirically tested using data obtained from a survey of mHealth app users (n=310). The research analyzed 2 additional external factors: promotion of health and health benefits. Data were analyzed with a PLS–SEM software and confirmed that gender moderates the adoption of mHealth apps in Spain. The explanatory capacity (R2 for behavioral intention to use) of the proposed model was 76.4%. Likewise, the relationships of the external constructs of the extended TAM were found to be significant. Results: The results show the importance of healthy habits developed by using mHealth apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of eHealth as an agent for transforming attitudes; additionally, as more health benefits are obtained, ease of use becomes greater. Perceived usefulness (PU; β=.415, t0.001;4999=3.442, P=.001), attitude toward using (β=.301, t0.01;499=2.299, P=.02), and promotion of health (β=.210, t0.05;499=2.108, P=.03) were found to have a statistically significant impact on behavior intention to use eHealth apps (R2=76.4%). Perceived ease of use (PEOU; β=.179, t0.01;499=2.623, P=.009) and PU (β=.755, t0.001;499=12.888, P<.001) were found to have a statistically significant impact on attitude toward using (R2>=78.2%). Furthermore, PEOU (β=.203, t0.01;499=2.810, P=.005), health benefits (β=.448, t0.001;499=4.010, P<.001), and promotion of health (β=.281, t0.01;499=2.393, P=.01) exerted a significant impact on PU (R2=72.7%). Finally, health benefits (β=.640, t0.001;499=14.948, P<.001) had a statistically significant impact on PEOU (R2=40.9%), while promotion of health (β=.865, t0.001;499=29.943, P<.001) significantly influenced health benefits (R2=74.7%). Conclusions: mHealth apps could be used to predict the behavior of patients in the face of recommendations to prevent pandemics, such as COVID-19 or SARS, and to track users’symptoms while they stay at home. Gender is a determining factor that influences the intention to use mHealth apps, so perhaps different interfaces and utilities could be designed according to gender. |
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2021 |
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2021 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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https://hdl.handle.net/11441/127662 https://doi.org/10.2196/27021 |
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https://hdl.handle.net/11441/127662 https://doi.org/10.2196/27021 |
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Inglés |
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Inglés |
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JMIR MHEALTH AND UHEALTH, 9 (9) https://mhealth.jmir.org/2021/9/e27021 |
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