Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)

Technology in Society, Journal Year: 2019, Volume and Issue: 60, P. 101212 - 101212

Published: Nov. 18, 2019

Language: Английский

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Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

Journal of Medical Internet Research, Journal Year: 2019, Volume and Issue: 21(8), P. e15023 - e15023

Published: July 22, 2019

Diabetes poses heavy social and economic burdens worldwide. management apps show great potential for diabetes self-management. However, the adoption of by patients is poor. The factors influencing patients' intention to use these are unclear. Understanding behavioral necessary support development promotion app use.This study aimed identify determinants based on an integrated theoretical model.The hypotheses our research model were developed extended Unified Theory Acceptance Use Technology (UTAUT). From April 20 May 20, 2019, adult with across China, who familiar apps, surveyed using Web-based survey tool Sojump. Structural equation modeling was used analyze data.A total 746 participants met inclusion criteria completed survey. fitness indices suggested that collected data fit well model. explained 62.6% variance in performance expectancy 57.1% intention. Performance influence had strongest effects (β=0.482; P=.001). P=.001), (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), privacy risk (β=-0.073; P=.012) direct Additionally, influence, effort expectancy, indirect mediated expectancy. Social highest among three constructs (β=0.259; P=.001).Performance most important apps. Health care technology companies should improve usefulness carry out provide clinical evidence apps' effectiveness, which will benefit Facilitating also have impact Therefore, it solid protection. Our supports UTAUT explaining Context-related be taken into consideration.

Language: Английский

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Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps

International Journal of Information Management, Journal Year: 2019, Volume and Issue: 49, P. 58 - 68

Published: March 25, 2019

Language: Английский

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The mediating effects of perceived usefulness and perceived ease of use on nurses’ intentions to adopt advanced technology

BMC Nursing, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 9, 2025

This study explored the role of technology systems in influencing nurses' intentions to adopt medical applications that enhance their performance and how contributes improvements hospital systems. The examines intention use through mediating effects perceived usefulness ease use, with sophistication. A random sampling method was employed gather 687 responses from nurses. statistical analysis conducted using AMOS version 25.0 SPSS. findings indicate a significant association between sophistication (TS), (PU), (PEU), (IU). Additionally, PU PEU positively mediate relationship TS IU. research will benefit policymakers aiming by adopting modern technology. Authorities should consider introducing advanced meet goals administration support nurses effectively.

Language: Английский

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Physicians’ Attitudes Toward Prescribable mHealth Apps and Implications for Adoption in Germany: Mixed Methods Study

JMIR mhealth and uhealth, Journal Year: 2021, Volume and Issue: 9(11), P. e33012 - e33012

Published: Nov. 23, 2021

In October 2020, Germany became the first country, worldwide, to approve certain mobile health (mHealth) apps, referred as DiGA (Digitale Gesundheitsanwendungen, in German, meaning digital applications), for prescription with costs covered by standard statutory insurance. Yet, this option has only been used a limited extent so far.The aim of study was investigate physicians' and psychotherapists' current attitudes toward mHealth barriers adoption, potential remedies.We conducted two-stage sequential mixed methods study. phase one, semistructured interviews were physicians psychotherapists questionnaire design. two, an online survey among general practitioners, physicians, psychotherapists.A total 1308 responses mostly outpatient-care from across who could prescribe recorded, making largest on prescriptions date. A 62.1% (807/1299) respondents supported opportunity DiGA. Improved adherence (997/1294, 77.0%), literacy (842/1294, 65.1%), disease management (783/1294, 60.5%) most frequently seen benefits However, 30.3% (393/1299) planned DiGA, varying greatly medical specialty. Professionals are still facing substantial barriers, such insufficient information (1135/1295, 87.6%), reimbursement DiGA-related services (716/1299, 55.1%), evidence (712/1298, 54.9%), legal uncertainties (680/1299, 52.3%), technological (658/1299, 50.7%). To support professionals unsure prescribing extended campaigns (1104/1297, 85.1%) well recommendations associations (1041/1297, 80.3%) colleagues (1024/1297, 79.0%) impactful remedies.To realize through increased additional sharing about trusted bodies, services, further recommended.

Language: Английский

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Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study

JMIR mhealth and uhealth, Journal Year: 2018, Volume and Issue: 7(1), P. e12269 - e12269

Published: Dec. 9, 2018

Background: Although elderly users comprise a major user group in the field of mobile health (mHealth) services, their adoption rate such services is relatively low compared with use traditional services. Increasing mHealth among beneficial to aging process.

Language: Английский

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The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation

Applied Clinical Informatics, Journal Year: 2019, Volume and Issue: 10(05), P. 820 - 840

Published: Oct. 1, 2019

The potential benefit of mobile health (M-Health) in developing countries for improving the efficiency care service delivery, quality, and patient safety, as well reducing cost, has been increasingly recognized emphasized last few years.Limited research investigated facilitators barriers adoption M-Health to secure successful implementation technology. To fill this knowledge gap, we propose an integrative model that explains patient's behavior grounded on unified theory acceptance use technology, dual-factor model, belief model.We empirically tested evaluated based data collected using a survey method from 280 patients living country. Partial least squares (PLS-SEM) technique was used analysis.The results showed performance expectancy, effort social influence, perceived threat, app life quality expectancy have direct positive effect patients' intention M-Health. also security privacy risks negative However, resistance change found indirect through expectancy.The contributes existing literature information systems by better understanding how technological, social, functional factors are associated with digital applications services success context countries. With widespread availability technologies growing demand apps, can help guide development next generation apps focus needs several theoretical practical implications industry, government, policy makers, technology developers designers.

Language: Английский

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Predicting trust in online advertising with an SEM-artificial neural network approach

Expert Systems with Applications, Journal Year: 2020, Volume and Issue: 162, P. 113849 - 113849

Published: Aug. 8, 2020

Language: Английский

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Applying an Extended UTAUT2 Model to Explain User Acceptance of Lifestyle and Therapy Mobile Health Apps: Survey Study

JMIR mhealth and uhealth, Journal Year: 2021, Volume and Issue: 10(1), P. e27095 - e27095

Published: Sept. 25, 2021

Mobile health (mHealth) care apps are a promising technology to monitor and control individually cost-effectively with that is widely used, affordable, ubiquitous in many people's lives. Download statistics show lifestyle used by young healthy users improve fitness, nutrition, more. While this an important aspect for the prevention of future chronic diseases, burdened systems worldwide may directly profit from use therapy those patients already need medical treatment monitoring.We aimed compare factors influencing acceptance better understand what drives hinders mHealth apps.We applied established unified theory 2 (UTAUT2) model evaluate via online questionnaire 707 German participants. Moreover, trust privacy concerns were added and, between-subject study design, influence these predictors on behavioral intention was compared between apps.The results only weakly predicted (R2=0.019). Only hedonic motivation significant predictor intentions regarding both app types, as determined path coefficients (lifestyle: 0.196, P=.004; therapy: 0.344, P<.001). Habit influenced (0.272, P<.001), while social (0.185, P<.001) (0.273, apps. A further exploratory correlation analysis relationship user calculated. Health familiarity showed strongest (r=0.469, stressing importance experience. Also, age (r=-0.15, P=.004), gender (r=-0.075, P=.048), education level (r=0.088, P=.02), (r=0.142, P=.007), digital literacy (r=0.215, disposition (r=-0.194, P>.001), propensity (r=0.191, P>.001) correlated indicate that, rather than utilitarian like usefulness, emotional partly habit, influence, trust. Overall, findings give evidence context, new extended models be developed integration diversity, especially individuals' prior experience mHealth.

Language: Английский

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Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

JMIR Medical Informatics, Journal Year: 2021, Volume and Issue: 9(1), P. e25435 - e25435

Published: Jan. 4, 2021

Although telehealth is considered a key component in combating the worldwide crisis caused by COVID-19, factors that influence its acceptance general population after flattening of COVID-19 curve remain unclear.

Language: Английский

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