Factors affecting physicians using mobile health applications: an empirical study

Wu, Pei; Zhang, Runtong; Luan, Jing; Zhu, Minghao

doi:10.1186/s12913-021-07339-7

Cited by 19 publications

(30 citation statements)

References 73 publications

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“…Ensuring collaboration and endorsement between all stakeholders in a novel ICT-based health intervention is crucial to its success. Cognitive trust has been found to be an impacting factor on the behavioural intentions of physicians' use and endorsement of app-assisted healthcare [246]. Robust randomised control trials prior to mass product circulation will contribute to allaying trust concerns with the technology.…”

Section: Discussionmentioning

confidence: 99%

Single site pilot clinical investigation of a novel app-assisted self-management programme for gestational diabetes

Smyth

Daly²,

Molphy³

et al. 2023

American Journal of Obstetrics and Gynecology

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Section: Discussionmentioning

confidence: 99%

Single site pilot clinical investigation of a novel app-assisted self-management programme for gestational diabetes

Smyth

Daly²,

Molphy³

et al. 2023

American Journal of Obstetrics and Gynecology

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“…Ensuring collaboration and endorsement between all stakeholders in a novel ICT-based health intervention is crucial to its success. Cognitive trust has been found to be an impacting factor on the behavioral intentions of physicians’ use and endorsement of app-assisted health care [ 30 ]. Robust RCTs prior to mass product circulation will contribute to allaying trust concerns with the technology.…”

Section: Discussionmentioning

confidence: 99%

Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review

Smyth¹,

Curtin²,

Tully³

et al. 2022

JMIR Diabetes

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Background Developments and evolutions in the information and communication technology sector have provided a solid foundation for the emergence of mobile health (mHealth) in recent years. The cornerstone to management of gestational diabetes mellitus (GDM) is the self-management of glycemic indices, dietary intake, and lifestyle adaptations. Given this, it is readily adaptable to incorporation of remote monitoring strategies involving mHealth solutions. Objective We sought to examine and assess the available smartphone apps which enable self-monitoring and remote surveillance of GDM with a particular emphasis on the generation of individualized patient feedback. Methods Five databases were searched systematically for any studies evaluating mHealth-supported smartphone solutions for GDM management from study inception until January 2022. The studies were screened and assessed for eligibility of inclusion by 2 independent reviewers. Ultimately, 17 studies were included involving 1871 patients across 11 different countries. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) conceptual framework was adhered to for data extraction and categorization purposes. Results All studies analyzed as part of this review facilitated direct uploading of data from the handheld glucometer to the downloaded patient-facing smartphone app. Glycemic data were captured by all studies and were reassuringly found to be either improved or noninferior to extant models of hospital-based care. Feedback was delivered in either an automated fashion through in-app communication from the health care team or facilitated through bidirectional communication with the app and hospital portal. Although resource utilization and cost-effective analyses were reported in some studies, the results were disparate and require more robust analysis. Where patient and staff satisfaction levels were evaluated, the response was overwhelmingly positive for mHealth smartphone–delivered care strategies. Emergency cesarean section rates were reduced; however, elective cesarean sections were comparatively increased among studies where the mode of delivery was assessed. Most reviewed studies did not identify any differences in maternal, perinatal, or neonatal health when app-based care was compared with usual in-person review. Conclusions This comprehensive scoping review highlights the feasibility, reliability, and acceptability of app-assisted health care for the management of GDM. Although further exploration of the economic benefit is required prior to implementation in a real-world clinical setting, the prospect of smartphone-assisted health care for GDM is hugely promising

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“…Behavioural intention to use e-wallet adalah ukuran intensitas niat seseorang untuk membeli suatu produk. Niat dan perilaku seseorang dipengaruhi dengan tiga dimensi (Theory of Planned Behavior) yakni attitude towards the behavior, subjective norm, dan perceived behavior control [19].…”

Section: Pendahuluanunclassified

Analisis Faktor-Faktor yang Berpengaruh terhadap Behavioural Intention to Use E-Wallet Bagi Generasi Z Indonesia

Haqi,

Astuti

2024

INFEB

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Cashless payments via digital systems in the current era are seen as a modern payment alternative in several countries, including Indonesia. The emergence of digitalization via the internet has accelerated globalization and payment systems from manual transactions to online transactions. That is why in this day the behavioral intention to use e-wallets is increasingly high among Gen Z in almost all regions of Indonesia. Gen Z was born in an era of technological progress, where their behavior is very dependent on internet technology. This research purposes to analyze the effect of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived compatibility, and trust on behavioural intention to use e-wallet. Populations in this research are Gen Z in Indonesia. Sampling in this research using convenience sampling technique through a questionnaire method, and collected as many as 169 samples in accordance with the criteria. In this research using SPSS version 20 to process data. The results showed that effort expectancy, facilitating conditions, and perceived compatibility had a positive effect to behavioural intention to use e-wallet. While performance expectancy, and trust had not a positive effect to behavioural intention to use e-wallet. And social influence had not a negative effect to behavioural intention to use e-wallet.

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Factors affecting physicians using mobile health applications: an empirical study

Cited by 19 publications

References 73 publications

Single site pilot clinical investigation of a novel app-assisted self-management programme for gestational diabetes

Single site pilot clinical investigation of a novel app-assisted self-management programme for gestational diabetes

Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review

Analisis Faktor-Faktor yang Berpengaruh terhadap Behavioural Intention to Use E-Wallet Bagi Generasi Z Indonesia

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