The Investigation of Factors of Determining Continuous Use of Health Apps on Smartphones Application of Extended Technology Acceptance Model

Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

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A Smartphone APP for Health and Tourism Promotion

Mathematical Problems in Engineering ◽

10.1155/2014/583179 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 3

Author(s):

Ker-Cheng Lin ◽

Lin-Sheng Chang ◽

Chien-Ming Tseng ◽

Hsuan-Hung Lin ◽

Yung-Fu Chen ◽

...

Keyword(s):

Health Promotion ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Folk Culture ◽

Behavior Intention ◽

Tourism Promotion ◽

Acceptance Model ◽

And Behavior ◽

Continuous Use ◽

Culture Education

The main purpose of this study is to develop an APP by integrating GPS to provide the digitized information of local cultural spots to guide tourists for tourism promotion and the digitized information of mountaineering trails to monitor energy expenditure (EE) for health promotion. The provided cultural information is also adopted for educational purpose. Extended Technology Acceptance Model (TAM) was used to evaluate the usefulness and behavior intention of the provided information and functions in the developed system. Most users agreed that the system is useful for health promotion, tourism promotion, and folk-culture education. They also showed strong intention and positive attitude toward continuous use of the APP.

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Towards a better understanding of the Intention to Use m-Health Apps (Preprint)

10.2196/preprints.27021 ◽

2021 ◽

Author(s):

Pedro Palos-Sanchez ◽

Jose Ramon Saura ◽

Miguel A. Rios Martin ◽

Mariano Aguayo Camacho

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Health Benefits ◽

Ease Of Use ◽

Intention To Use ◽

Health Apps ◽

Proposed Model ◽

Tam Model ◽

Health Care Applications ◽

Acceptance Model

BACKGROUND An increasing number of Mobile Health Applications (m-Health apps) are becoming available to download and use on mobile devices. Even with the increase in availability and use of m-Health apps, there has still not been a lot of research into understanding the Intention to Use this kind of applications. Therefore, the purpose of this paper is to investigate a technology acceptance model that has been specially designed for primary health care applications. The proposed model is an extension of the Technology Acceptance Model (TAM), and it was empirically tested using data obtained from a survey of m-Health apps users (n = 310). The research analyzed two additional external factors: Promotion of Health and Health Benefits. The data was analyzed with PLS-SEM software and confirmed that gender moderates the adoption of m-Health apps in Spain and the explanatory capacity of the proposed model was R2 BIU =76.4%. Likewise, the relationships of the external constructs of the extended TAM model were found to be significant. The results show the importance of healthy habits developed in m-Health apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of e-health as an agent for transforming attitudes, and as more health benefits are obtained, ease of use is greater. Also, m-Health apps could be used to predict what the behavior of patients would be 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 in how it influences the intention to use m-Health apps, so perhaps different interfaces and utilities could be designed according to gender. OBJECTIVE The purpose of this paper is to investigate a technology acceptance model that has been specially designed for primary health care applications. METHODS The proposed model is an extension of the Technology Acceptance Model (TAM), and it was empirically tested using data obtained from a survey of m-Health apps users (n = 310). The research analyzed two additional external factors: Promotion of Health and Health Benefits. The data was analyzed with PLS-SEM analysis. RESULTS The results confirmed that gender moderates the adoption of m-Health apps in Spain and the explanatory capacity of the proposed model was R2 BIU =76.4%. Likewise, the relationships of the external constructs of the extended TAM model were found to be significant. The results show the importance of healthy habits developed in m-Health apps. In addition, communication campaigns for these apps should be aimed at transferring the usefulness of e-health as an agent for transforming attitudes, and as more health benefits are obtained, ease of use is greater. CONCLUSIONS Also, m-Health apps could be used to predict what the behavior of patients would be 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 in how it influences the intention to use m-Health apps, so perhaps different interfaces and utilities could be designed according to gender. CLINICALTRIAL _

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A study of integrative adoption model regarding social TV : Focused on integrative approach on intention of continuous use based on innovation diffusion theory, technology acceptance model and innovation resistance model

Journal of Communication Science ◽

10.14696/jcs.2016.06.16.2.145 ◽

2016 ◽

Vol 16 (2) ◽

pp. 145 ◽

Cited By ~ 1

Author(s):

Sung-uk Yun

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Diffusion Theory ◽

Integrative Approach ◽

Innovation Diffusion Theory ◽

Social Tv ◽

Resistance Model ◽

Adoption Model ◽

Acceptance Model ◽

Continuous Use

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Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik (Preprint)

10.2196/preprints.16911 ◽

2019 ◽

Author(s):

Gorkem Akdur ◽

Mehmet Nafiz Aydin ◽

Gizdem Akdur

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Mobile Health ◽

Behavioral Intention ◽

Perceived Risk ◽

Intention To Use ◽

Health Apps ◽

Mobile Health Apps ◽

Acceptance Model ◽

Behavioral Intention To Use

BACKGROUND Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. OBJECTIVE The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. METHODS We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. RESULTS Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. CONCLUSIONS This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

Download Full-text