Cost-effectiveness of Digital Tools for Behavior Change Interventions Among People With Chronic Diseases: Systematic Review DOI Creative Commons
Tun Lin Kyaw, Nawi Ng, Margarita Theocharaki

et al.

Interactive Journal of Medical Research, Journal Year: 2023, Volume and Issue: 12, P. e42396 - e42396

Published: Jan. 12, 2023

Background Chronic diseases, including cardiovascular diabetes, chronic obstructive pulmonary disease, and cerebrovascular contribute to the most significant disease burden worldwide, negatively impacting patients their family members. People with diseases have common modifiable behavioral risk factors, smoking, alcohol overconsumption, unhealthy diets. Digital-based interventions for promoting sustaining changes flourished in recent years, although evidence of cost-effectiveness such remains inconclusive. Objective In this study, we aimed investigate digital health among people diseases. Methods This systematic review evaluated published studies focused on economic evaluation tools change adults We followed Population, Intervention, Comparator, Outcomes framework retrieve relevant publications from 4 databases: PubMed, CINAHL, Scopus, Web Science. used Joanna Briggs Institute’s criteria randomized controlled trials assess bias studies. Two researchers independently screened, assessed quality, extracted data selected review. Results total, 20 between 2003 2021 fulfilled our inclusion criteria. All were conducted high-income countries. These telephones, SMS text messaging, mobile apps, websites as behavior communication. Most diet nutrition (17/20, 85%) physical activity (16/20, 80%), a few smoking tobacco control (8/20, 40%), reduction (6/20, 30%), salt intake (3/20, 15%). care payer perspective analysis, only 15% (3/20) societal perspective. Only 45% (9/20) full evaluation. (7/20, 35%) based 30% (6/20) partial found be cost-effective cost-saving. had short follow-ups failed include proper indicators evaluation, quality-adjusted life-years, disability-adjusted lack discounting, sensitivity analysis. Conclusions Digital are settings can therefore scaled up. Similar low- middle-income countries properly designed is urgently required. A needed provide robust potential scaling up wider population. Future should follow National Institute Health Clinical Excellence recommendations take perspective, apply address parameter uncertainty, lifelong time horizon.

Language: Английский

TAM-UTAUT and the acceptance of remote healthcare technologies by healthcare professionals: A systematic review DOI Creative Commons
Mohammed Rouidi, Abdelmajid Elouadi,

Amine Hamdoune

et al.

Informatics in Medicine Unlocked, Journal Year: 2022, Volume and Issue: 32, P. 101008 - 101008

Published: Jan. 1, 2022

Few remote care technologies have been able to integrate clinical routines in the health sector, one of reasons is non-acceptance these by end-users who are professionals. Identify from a review literature research that has studied acceptance behavior professionals and used technology model (TAM) Unified theory use (UTAUT) as theoretical framework. An electronic search was conducted PubMed, Scopus, Web Science databases during period between May June 2021. The articles were identified using predefined inclusion exclusion criteria. All results exported an Excel file. Next, titles abstracts publications assessed two independent reviewers according criteria select relevant studies those found database, Any conflict decision-making selection phase resolved discussion among or, if necessary, with coordinator until consensus reached. Of 531 potentially (duplicates excluded), 32 included this systematic review. These did not test single model, there variety models tested, 7 tested original TAM 6 UTAUT model. While 13 extension (or modified TAM) UTAUT). There on wide applications In majority cases (21 66%), authors specify type application they studied, i.e. generic terms such eHealth, mHealth, Telehealth, or telemedicine. main finding shows still valid predict professionals, even date back several years originally formulated be context technologies.

Language: Английский

Citations

91
Digital technologies, healthcare and Covid-19: insights from developing and emerging nations DOI Open Access
Mukesh Chandra, Kunal Kumar, Prabhat Thakur

et al.

Health and Technology, Journal Year: 2022, Volume and Issue: 12(2), P. 547 - 568

Published: March 1, 2022

Language: Английский

Citations

83
A Study on Factors Influencing Designers’ Behavioral Intention in Using AI-Generated Content for Assisted Design: Perceived Anxiety, Perceived Risk, and UTAUT DOI Creative Commons

Weiyi Li

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: March 6, 2024

This study aims to comprehensively understand the intention use Artificial Intelligence Generated Assistance in Design Tools (AIGC) among design students and practitioners, along with its influencing factors. Utilizing Smart-PLS software Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, we constructed a comprehensive research model. Based on 404 valid questionnaire responses, systematically analyzed underlying mechanisms of designers' attitudes towards AIGC tools. The sample encompasses diverse schools levels professional experience, ensuring wide applicability outcomes. In data analysis process, statistical methods, including path standardized coefficients, were employed ensure profound exploration questions. results indicate that performance expectancy, effort social influence, facilitating conditions significantly positively influence willingness tools, while perceived anxiety risk exert negative impacts. study, by integrating traditional novel factors, provides crucial theoretical practical guidance for actual application technology field, offering insights future development education technology.

Language: Английский

Citations

29
Examining Chinese preservice mathematics teachers’ adoption of AI chatbots for learning: Unpacking perspectives through the UTAUT2 model DOI
Tommy Tanu Wijaya,

Mingyu Su,

Yiming Cao

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: July 2, 2024

Language: Английский

Citations

16
Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model DOI Creative Commons

Jahir Uddin Palas,

Golam Sorwar, Md. Rakibul Hoque

et al.

BMC Medical Informatics and Decision Making, Journal Year: 2022, Volume and Issue: 22(1)

Published: July 24, 2022

Abstract Background Despite the high usage of mobile phones in daily life developing countries like Bangladesh, adoption and mHealth services have been significantly low among elderly population. When searching previous studies, researchers found that no studies empirically investigated whether quality service are significant for by elderlies Bangladesh. Hence , this study aimed to extend Unified Theory Acceptance Use Technology adding find key factors influence elderlies’ intention adopt use Methods A face-to-face structured questionnaire survey method was used collect data from 493 (aged 60 years above) The were analyzed with Structural Equations Modelling (SEM) Fuzzy Set Qualitative Comparative Analysis (fsQCA). Results SEM results suggested Social Influence, Hedonic Motivation, Price Value, Habit, Service Quality had impact ( p < 0.05) on behavioral services. Quality, Life, Habit explaining Behavior Life did not show > effect Behavioral Intention, which is inconsistent existing literature. In addition, fsQCA findings suggest how intensity influencers may contribute versus m-health outcomes. Conclusions implications theory, practice future research as explained paper. originality integration into UTUAT2 explain users’ behavioural behaviour. Overall, shaping appropriate policies designing implementing effectively countries.

Language: Английский

Citations

50
A comparative analysis of digital health usage intentions towards the adoption of virtual reality in telerehabilitation DOI

Yee Kiu Chan,

Yuk Ming Tang,

Long Teng

et al.

International Journal of Medical Informatics, Journal Year: 2023, Volume and Issue: 174, P. 105042 - 105042

Published: March 18, 2023

Language: Английский

Citations

31
Virtual healthcare in the new normal: Indian healthcare consumers adoption of electronic government telemedicine service DOI
Nitin Upadhyay, Aakash Kamble, Ajinkya Navare

et al.

Government Information Quarterly, Journal Year: 2023, Volume and Issue: 40(2), P. 101800 - 101800

Published: Jan. 11, 2023

Language: Английский

Citations

27
Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model: A Hybrid SEM–ANN Approach DOI
Zeina Thabet, Sara Albashtawi,

Hurmat Ansari

et al.

IEEE Transactions on Engineering Management, Journal Year: 2023, Volume and Issue: 71, P. 8938 - 8950

Published: July 26, 2023

Telemedicine adoption has steadily grown due to its ability provide accessible and cost-effective healthcare services. However, individuals' rate still faces challenges, necessitating a comprehensive understanding of the factors influencing their adoption. This article explores affecting telemedicine by integrating Unified Theory Acceptance Use Technology, Information System success model, perceived security. The integrated model is evaluated using hybrid structural equation modeling–artificial neural network (ANN) technique based on data collected from 152 individuals. results showed that performance expectancy, hedonic motivation, security, user satisfaction significantly drive Additionally, affected substantially information quality, system service quality. effort social influence, facilitating conditions do not impact ANN findings revealed most important driver for adoption, with normalized importance 100%. contributes literature providing framework combines two well-established theories, offering insights into multifaceted also practical implications decision-makers, policymakers, providers, software companies, developers, emphasizing addressing identified promote widespread ensure long-term success.

Language: Английский

Citations

26
Understanding the intention to use metaverse in healthcare utilizing a mix method approach DOI
Om Jee Gupta,

Susheel Yadav,

Manoj Kumar Srivastava

et al.

International Journal of Healthcare Management, Journal Year: 2023, Volume and Issue: 17(2), P. 318 - 329

Published: March 6, 2023

This article studies the patient's behavioural intentions towards potential use of metaverse in healthcare sector. Metaverse is a new technology that can replicate some physical events into virtual events. be significant alternative to offer targeted medical services patients. Authors have collected data from people those availed hospital post COVID-19 pandemic. The were Delhi-NCR region (India). study has been conducted with help Theory Planned Behaviour (TPB) employing all its components (attitude, subjective norms, control, adoption intention, and behaviour). TPB model statements adapted modified for suitability this study. Attitude, control positively related 'intention adopt'. Control behaviour did not correlate. empirical research report concludes individual attitude, norms society, expected outcome (control) contribute use' platforms services. While was unrelated customer platform. Finally, draws important insights various stakeholders.

Language: Английский

Citations

25
Reviewing the evolution of U. S. telemedicine post-pandemic by analyzing its growth, acceptability, and challenges in remote healthcare delivery during Global Health Crises DOI Creative Commons

Tolulope O Olorunsogo,

Obe Destiny Balogun,

Oluwatoyin Ayo-Farai

et al.

World Journal of Biology Pharmacy and Health Sciences, Journal Year: 2024, Volume and Issue: 17(1), P. 075 - 090

Published: Jan. 21, 2024

This study provides a comprehensive analysis of the evolution, growth, acceptability, and challenges telemedicine in United States, particularly post-pandemic era. The primary objective was to understand impact on healthcare delivery, technological advancements, policy implications. Utilizing systematic literature review content methodology, sourced data from electronic databases such as PubMed, Scopus, Web Science, focusing peer-reviewed articles published between 2010 2023. Key findings indicate that experienced significant growth during COVID-19 pandemic, transitioning supplementary service mode delivery. facilitated by advancements digital technologies necessitated need for remote services. identified telemedicine, including barriers, regulatory issues, concerns regarding equitable access. Despite these challenges, has shown potential enhancing accessibility, efficiency, patient-centered care. concludes is poised play crucial role future healthcare, with opportunities further integration into routine practices. However, this requires robust frameworks, stakeholder engagement, continued innovation. Recommendations leaders policymakers include developing policies investing infrastructure support telehealth Future research directions involve exploring long-term outcomes interventions its economic systems.

Language: Английский

Citations

13