EHR acceptance among Austrian resident doctors

Steininger, Katharina; Stiglbauer, Barbara

doi:10.1016/j.hlpt.2015.02.003

Cited by 39 publications

(60 citation statements)

References 32 publications

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“…Oliveira and Huertas (2015) discovered that, among Brazilians, social influence significantly impacted upon behavioural intention to use Facebook. A significant effect of social influence on behavioural intention was also found in a study by Steininger and Stiglbauer (2015). Therefore, we suggest as follows:…”

Section: Social Influencesupporting

confidence: 62%

How perceived effort expectancy and social influence affects continuance of intention to use e-government. A study of a Malaysian government service

Razak¹,

Bakar

Abdullah

2017

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This study examines the role of effort expectancy and social influence in explaining Malaysian government service acceptance of e-government services from the perspective of Malaysian government servants. The paper is based on survey data (n = 543) collected in Pahang, Malaysia between April 2014 to July 2014 and was analysed by using SPSS 20 (Statistical Package for the Social Sciences). The analysis of data was performed by a combination of exploratory factor analysis (EFA) and multiple linear regressions. Results show that the combination of effort expectancy ( β = 0.373, p < 0.01) and social influence ( β = 0.329, p < 0.01) were found to have significant impacts on continuance intention to use e-government practices. It is anticipated that the findings will be useful for policy makers in order to enhance the Malaysian e-government service practices. Limitations encountered in the study as well as suggestions for future research are also included.

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Section: Social Influencesupporting

confidence: 62%

How perceived effort expectancy and social influence affects continuance of intention to use e-government. A study of a Malaysian government service

Razak¹,

Bakar

Abdullah

2017

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“…Based on the findings from our research and the findings from previous published literature on technology acceptance studies (Steininger & Stiglbauer, 2015; Melas et al, 2011; Venkatesh, Thong & Xu, 2012), we identified the major barriers to e-health adoption in Nigeria and other developing countries, which we categorized into six principal areas, these include: (1) technology infrastructure barriers related to hardware, software, and networking; (2) information Technology literacy barriers related to knowledge and experience in using ICT tools and applications; (3) monetary barriers related to budgeting and funding; (4) human resource barriers related to attitude, willingness, and belief of the healthcare professionals to use the e-health technology; (5) administrative barriers related to organizational and management policies; and (6) security barriers related to privacy and trust in using the technology. This findings corresponds to those published in other studies.…”

Section: Discussionmentioning

confidence: 90%

“…These new variables include staff IT experience, technical infrastructures, security concerns, and information sharing. These additional independent factors enhance the TAM’s predictive power (Steininger & Stiglbauer, 2015). Figure 1 shows the proposed research model.…”

Section: Introductionmentioning

confidence: 99%

Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals

Zayyad

Toycan

2018

PeerJ

103

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BackgroundE-health technology applications are essential tools of modern information technology that improve quality of healthcare delivery in hospitals of both developed and developing countries. However, despite its positive benefits, studies indicate that the rate of the e-health adoption in some developing countries is either low or underutilized. This is due in part, to barriers such as resistance from healthcare professionals, poor infrastructure, and low technical expertise among others.ObjectiveThe aim of this study is to investigate, identify and analyze the underlying factors that affect healthcare professionals decision to adopt and use e-health technology applications in developing countries, with particular reference to hospitals in Nigeria.MethodsThe study used a cross sectional approach in the form of a close-ended questionnaire to collect quantitative data from a sample of 465 healthcare professionals randomly selected from 15 hospitals in Nigeria. We used the modified Technology Acceptance Model (TAM) as the dependent variable and external factors as independent variables. The collected data was then analyzed using SPSS statistical analysis such as frequency test, reliability analysis, and correlation coefficient analysis.ResultsThe results obtained, which correspond with findings from other researches published, indicate that perceived usefulness, belief, willingness, as well as attitude of healthcare professionals have significant influence on their intention to adopt and use the e-health technology applications. Other strategic factors identified include low literacy level and experience in using the e-health technology applications, lack of motivation, poor organizational and management policies.ConclusionThe study contributes to the literature by pinpointing significant areas where findings can positively affect, or be found useful by, healthcare policy decision makers in Nigeria and other developing countries. This can help them understand their areas of priorities and weaknesses when planning for e-health technology adoption and implementation.

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“…Most determinants identified by technology adoption theories were supported by many studies, particularly: attitude [15], [32], perceived [19].…”

Section: Stage 2: Prior Theoretical Models Of Physician Adoption Of Ehrsmentioning

confidence: 94%

“…Copyright © 2018, Infonomics Society usefulness/performance expectancy [14]- [16], [30], [33]- [35], perceived ease of use/effort expectancy [1], [14], [30], [33]- [35], computer self-efficacy/Health IT experience [14], [15], social influence/social norms/professional norms [1], [14], [15], [30]. However, new determinants were identified, particularly: perceived threat to physician autonomy [16], [35], physician involvement [16], and privacy concerns [15]. Two studies [1], [14] where conducted by the same authors and applied approximately to the same population, but have shown conflicting findings regarding the significance of two factors: demonstrability of results and personal identity.…”

Section: Social Influencementioning

confidence: 99%

Factors Affecting the Adoption of EHRs by Primary Healthcare Physicians in the Kingdom of Saudi Arabia: An Integrated Theoretical Framework

Aljarullah¹,

Crowder²,

Wald³

et al. 2018

IJe-HIS

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Implementing Electronic Health Records (EHRs) in primary healthcare has the potential to improve the population health, and to enhance the overall healthcare system of the country. Current policy initiatives in the Kingdom of Saudi Arabia (KSA) are attempting major reforms in primary care with EHRs as a key component. Understanding human factors involved in the implementation process of technology is crucial for its successful implementation. The aim of this paper is to support current policy initiatives by investigating and identifying factors that are likely to affect primary care physicians' acceptance of EHRs. Factors were identified based on extensive literature reviews and empirical findings. Three main stages of literature review were conducted: (1) factors influencing user adoption of IT, (2) factors affecting physician adoption of EHR, and (3) findings of relevant studies pertaining EHR adoption by physicians in the KSA. As a result, we developed an integrated framework of eight factors that were proven to have a significant direct influence on physicians' acceptance of EHRs: attitude, perceived usefulness, perceived ease of use, social influence, computer self-efficacy, perceived threat to physician autonomy, confidentiality concerns, and physician participation. The proposed framework will be of great potential to policy makers to make the transition to EHRs run smoothly.

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EHR acceptance among Austrian resident doctors

Cited by 39 publications

References 32 publications

How perceived effort expectancy and social influence affects continuance of intention to use e-government. A study of a Malaysian government service

How perceived effort expectancy and social influence affects continuance of intention to use e-government. A study of a Malaysian government service

Factors affecting sustainable adoption of e-health technology in developing countries: an exploratory survey of Nigerian hospitals from the perspective of healthcare professionals

Factors Affecting the Adoption of EHRs by Primary Healthcare Physicians in the Kingdom of Saudi Arabia: An Integrated Theoretical Framework

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