Disparity in cancer survivorship care: A cross-sectional study of telehealth use among cancer nurses in Australia

Brunelli, Vanessa; Fox, Jennifer; Langbecker, Danette

doi:10.1016/j.colegn.2021.01.002

Cited by 5 publications

(7 citation statements)

References 25 publications

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“…As it was mentioned earlier, the functional characteristics of the technology to be free of effort and compatible with the desired need are good determinants for adopting telemedicine by users. Furthermore, it has been found that some studies use a single theoretical model [33], [40], [43], while others use more than one model [13], [28], [32], [34]- [37], [42], [44], [45]. Although the TAM and UTAUT are the based models in most literature as it was mentioned above, other factors from different models were integrated with them to represent the acceptance in different contexts.…”

Section: Discussionmentioning

confidence: 99%

“…[28]- [31], and the other 5 studies on telemonitoring [32]- [36]. A total of 3 studies were dedicated to remote mental health services -Telepsychotherapy [37]- [39], while 4 studies centered around telerehabilitation [40], [41], and tele palliative care [42], [43], each with 2 studies.…”

Section: B Telemedicine Applicationsmentioning

confidence: 99%

“…Each application of telemedicine has its own factors that may influence its users' intentions, whether for the patient or provider. According to the analysis of the studies [13], [32]- [34], [39], [43], [45], [47], the most important factors shared by most studies of telemedicine applications are perceived usefulness and ease of use, which are key determinants of users' attitudes and behavioral intentions for the TAM model. This indicates that telemedicine applications that are easy to understand and bring desired benefits as needed have a higher chance of influencing user behavior to adopt the applications [13], [28], [35].…”

Section: B Telemedicine Applicationsmentioning

confidence: 99%

“…Contradictory to that, the most important factor influencing providers is the attitude which was mentioned 5 times [13], [32], [39], [42], [44]. Other important factors were repeated 2 times including social influence [42], [44], self-efficacy [13], [42], and experience [31], [44].…”

Section: Healthcare Providermentioning

confidence: 99%

“…The remaining set of factors was repeated once in the included studies including perceived benefit [36], availability of the service [30], system functionality [34], customizing the functionality of the device [34], and computer proficiency [46]. In contrast, the most important factors for providers were perceived usefulness and ease to use which were mentioned 3 times [32], [39], [43]. Indeed, when the providers find telemedicine user-friendly and help them to improve their work with less effort then, they are more likely to integrate telemedicine into their practice and adopt it.…”

Section: Healthcare Providermentioning

confidence: 99%

See 4 more Smart Citations

Telemedicine Adoption for Healthcare Delivery: A Systematic Review

Ghiwaa,

Khan,

White

et al. 2023

IJACSA

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Telemedicine is the delivery of healthcare services using telecommunication and information technologies. The adoption of telemedicine has been promoted by advancements in technology, increased accessibility to the Internet, and the need for convenient and efficient healthcare delivery. Understanding the theoretical foundations of telemedicine adoption among healthcare providers and patients is crucial for successful acceptance and utilization. This systematic review aims to explore the theoretical frameworks and models that have been widely utilized to understand telemedicine adoption among healthcare providers and patients. A systematic search was conducted across two popular electronic databases, resulting in the inclusion of 21 relevant studies. The selected studies were analyzed to identify the theoretical perspectives employed in telemedicine adoption research. The key findings reveal that the Technology Acceptance Model (TAM), the Unified Theory of Acceptance, and the Use of Technology (UTAUT) model are the most widely models used to illustrate the factors affecting telemedicine adoption among healthcare providers and patients through different countries and telemedicine contexts. Understanding these theoretical models is crucial for policymakers and healthcare professionals as it can provide insight into the key factors influencing the widespread adoption of telemedicine. This knowledge can serve as a guidance for crafting initiatives, and tailoring policies to promote the successful acceptance and utilization of telemedicine among providers and patients in diverse healthcare environments.

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Section: Discussionmentioning

confidence: 99%

Section: B Telemedicine Applicationsmentioning

confidence: 99%

Section: B Telemedicine Applicationsmentioning

confidence: 99%

Section: Healthcare Providermentioning

confidence: 99%

Section: Healthcare Providermentioning

confidence: 99%

See 3 more Smart Citations

Telemedicine Adoption for Healthcare Delivery: A Systematic Review

Ghiwaa,

Khan,

White

et al. 2023

IJACSA

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Cancer nursing research priorities: A rapid review

Dowling¹,

Efstathiou²,

Drury³

et al. 2023

European Journal of Oncology Nursing

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Psychological Factors That Contribute to the Use of Video Consultations in Health Care: Systematic Review

Haydon,

Fowler,

Taylor

et al. 2024

J Med Internet Res

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Background There are numerous benefits to delivering care via video consultations (VCs). Yet, the willingness of health care professionals (HCPs) to use video as a modality of care is one of the greatest barriers to its adoption. Decisions regarding whether to use video may be based on assumptions and concerns that are not necessarily borne of evidence. To effectively address psychological barriers to VC, it is essential to gain a better understanding of specific factors (eg, attitudes, beliefs, and emotions) that influence HCPs’ VC use. Objective This study’s aim was to conduct a systematic literature review of psychological factors in HCPs that impair or promote VC use. Methods Databases were searched in February 2023 for peer-reviewed primary research papers on VCs that discussed psychological factors of health professionals affecting the use of video to deliver health services. A psychological factor was defined as an intraindividual influence related to, or in reaction to, VC use—in this case, the individual being an HCP. Search terms included variations on “telehealth,” “clinician,” and psychological factors (eg, attitude and beliefs) in combination. Peer-reviewed papers of all methodological approaches were included if they were in an Australian setting and the full text was available in English. Studies where the main intervention was another digital health modality (eg, remote monitoring and telephone) were excluded. Studies were also excluded if they only reported on extrinsic factors (eg, environmental or economic). Information extracted included author, year, medical specialty, psychological component mentioned, explanation as to why the psychological factor was related to VC use, and exemplar quotes from the paper that correspond to a psychological component. Each extracted psychological factor was classified as a positive, negative, ambivalent, or neutral perspective on VC, and a thematic analysis then generated the factors and themes. Theories of behavior were considered and discussed to help frame the interaction between themes. Results From 4592 studies, data were extracted from 90 peer-reviewed papers. Cognitive and emotional motivators and inhibitors, such as emotional responses, self-efficacy, attitudes, and perceived impact on the clinician as a professional, all interact to influence HCP engagement in VCs. These factors were complex and impacted upon one another. A cyclical relationship between these factors and intention to engage in VCs and actual use of VCs was found. These findings were used to form the psychological attributes of VC engagement (PAVE) model. Evidence suggests that HCPs fall within 4 key user categories based on the amount of cognitive and practical effort needed to deliver VCs. Conclusions Although further research is needed to validate the current findings, this study provides opportunity for more targeted interventions that address psychological factors impeding effective use of VCs.

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Disparity in cancer survivorship care: A cross-sectional study of telehealth use among cancer nurses in Australia

Cited by 5 publications

References 25 publications

Telemedicine Adoption for Healthcare Delivery: A Systematic Review

Telemedicine Adoption for Healthcare Delivery: A Systematic Review

Cancer nursing research priorities: A rapid review

Psychological Factors That Contribute to the Use of Video Consultations in Health Care: Systematic Review

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