The adoption of e-health services: Comprehensive analysis of the adoption setting from the user׳s perspective

Ramtohul, Isabel

doi:10.1016/j.hlpt.2015.04.007

Cited by 20 publications

(23 citation statements)

References 36 publications

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“…The following comments were noted in the log-book: "I am too old to answer so many questions", "this was so many questions", and "how many minutes is this going to take?" As in our paper, Rantohul [14] also used pictures to illustrate eHealth services as a way to make the interviewees familiar with eHealth services if they could not relate to any. Using illustrated animated pictures is a way to describe what people can do with systems [21,38].…”

Section: Methodological Considerationsmentioning

confidence: 99%

“…Rantohul [14] showed that increased autonomy and improved quality of life played an important role within the decision-making process to adopt eHealth services. The PIADS scale is based on users' opinion of how assistive devices (wheelchairs, hearing aids) impact the quality of life [25][26][27][28].…”

Section: Piads Scale As a Predictor For Readiness Of Ehealthmentioning

confidence: 99%

“…Ramtohul [14] did a comprehensive analysis of the adoption setting of eHealth from the user's perspective and found that the user's readiness and health literacy influenced future adoption decisions. Several reviews describing evaluations of e-health services from the patients' perspectives using self-reported measures show a low effect on psychosocial outcomes [15].…”

Section: Introductionmentioning

confidence: 99%

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Ready for eHealth. Older Swedes’ Perceptions of eHealth Services: Using the PIADS Scale as a Predictor for Readiness

Axelsson

Melander‐Wikman

2016

Technologies

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Introduction: Relevant determinants of adoption of eHealth are needed in order to understand future usage. Aim: To investigate the anticipated psychosocial impact of present and future eHealth services and discuss how psychosocial factors can impact the readiness for eHealth services among older Swedes and reflect upon instruments for measuring eHealth acceptance. Method: The Psychosocial Impact of Assistive Device Scale (PIADS) measured the psychosocial impact of eHealth services as illustrated in pictures of a set of events of eHealth services that may reasonably occur in the present and the future. The PIADS scale and the scenarios were administered via a randomly selected sample from the Swedish population aged 55-105. Results and Discussion: Older Swedes have, from a psychosocial perspective, positive expectations regarding eHealth services. The PIADS scale could be a useful supplement to acceptance measurements in the context of eHealth. Using animated illustrations to depict eHealth services, together with the PIADS scale, can generate findings that are generalizable across technologies. The dimensions adaptability, competence and self-esteem could be relevant determinants of adoption of eHealth.

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Section: Methodological Considerationsmentioning

confidence: 99%

Section: Piads Scale As a Predictor For Readiness Of Ehealthmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ready for eHealth. Older Swedes’ Perceptions of eHealth Services: Using the PIADS Scale as a Predictor for Readiness

Axelsson

Melander‐Wikman

2016

Technologies

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“…No conceptual or theoretical frameworks concerning the relationships between telemedicine barriers and adoption were found. Robust prior studies in telemedicine, e-Health, telehealth, and m-Health (Alaboudi et al, 2016;Bigna, Noubiap, Plottel, Kouanfack, & Koulla-Shiro, 2014;Boonstra & Broekhuis, 2010;Bullock et al, 2017;Cajita, Hodgson, Lam, Yoo, & Han, 2018;De Bustos, Moulin, & Audebert, 2009;Faber, van Geenhuizen, & de Reuver, 2017;Freed et al, 2018;Gravel, Légaré, & Graham, 2006;Jang-Jaccard et al, 2014;Johnson, 2001;Leaming, 2007;LeRouge & Garfield, 2013;Lin, Lin, & Roan, 2012;Lohmann, Muula, Houlfort, & De Allegri, 2018;Modi, Portney, Hollenbeck, & Ellimoottil, 2018;Moffatt & Eley, 2011;Ramtohul, 2015;Rogove, McArthur, Demaerschalk, & Vespa, 2012;Scott Kruse et al, 2018;Scott & Mars, 2013;Van Dyk, 2014;Whitten, Holtz, Meyer, & Nazione, 2009) were used to develop and test the hypotheses regarded as mutually exclusive and exhaustive when considered from a model parsimony perspective. These seven broad categories of barriers are encapsulated in the study's conceptual model (see Figure 1).…”

Section: Review Of the Literature (Hypotheses And Conceptual Model)mentioning

confidence: 99%

Telemedicine Healthcare Service Adoption Barriers in Rural Bangladesh

Zobair

Sanzogni

Sandhu

2020

AJIS

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This article investigates potential barriers to telemedicine adoption in centres hosted by rural public hospitals in Bangladesh. Little is known of the barriers related to telemedicine adoption in this context. Analysis of data collected from rural telemedicine patients identified seven broad categories of barriers: lack of organisational effectiveness, information and communication technology infrastructure, quality of care, allocation of resources, health staff motivation, patient satisfaction and trustworthiness. Their significance is explored. This research is based on the quantitative analysis of a data set of 500 telemedicine patients, from rural areas in Bangladesh. A conceptual model showing the interaction of pre-determined classes of barriers was established and hypotheses set up and tested using partial least squares structural equation modelling. Exemplary barriers to telemedicine adoption were identified and confirmed (p<.01) namely, lack of organisational effectiveness, health staff motivation, patient satisfaction, and trustworthiness collectively explaining 62% of the variance in barriers to adoption and providing for the first-time empirical support of their existence. These barriers offer considerable resistance to the adoption and maintenance of current telemedicine projects in rural Bangladesh. Further, lack of information and communication technology infrastructure, allocation of resources and quality of care are indirect barriers affecting successful deployment of telemedicine in rural settings. These findings illuminate adoption impediments faced by existing telemedicine projects and institutionalise favourable policy guidelines to improve Bangladesh’s and similar emerging economies’ healthcare industries. Policy interventions and recommendations are provided, including current research limitations leading to opportunities for future research.

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“…In addition, TRI anticipated judgements and adaptation to several technology-based services on the sample of Greek college students [Roumeliotis and Maria (2014)]. According to a study conducted in the United Kingdom [Ramtohul (2015)], from high-levels of technology readiness, solid predictions can be made for the usage of technological services (e.g. online shopping, having internet access, using a computer or cellular phone, drawing on E-health services).…”

Section: Technology Readinessmentioning

confidence: 99%

Attitudes Toward Technologies of the Near Future: The Role of Technology Readiness in a Hungarian Adult Sample

Csuka

Martos

Kapornaky

et al. 2019

Int. J. Innovation Technol. Management

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Past decades’ rapid development of technological innovations can ease individual’s everyday lives, but they can also convey a sense of frustration. The aim of the present study was to investigate attitudes toward technologies that are expected to become widespread in the near future. The Technology Readiness Index was administered to a sample of Hungarian respondents to measure the capacity to adopt technologies. The results add significant novelties about the specific patterns related to perceptions of considerably different future technologies, emphasizing the unique role of optimism. Derivations are further specified by demographic characteristics, future directions and practical implications are also discussed.

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The adoption of e-health services: Comprehensive analysis of the adoption setting from the user׳s perspective

Cited by 20 publications

References 36 publications

Ready for eHealth. Older Swedes’ Perceptions of eHealth Services: Using the PIADS Scale as a Predictor for Readiness

Ready for eHealth. Older Swedes’ Perceptions of eHealth Services: Using the PIADS Scale as a Predictor for Readiness

Telemedicine Healthcare Service Adoption Barriers in Rural Bangladesh

Attitudes Toward Technologies of the Near Future: The Role of Technology Readiness in a Hungarian Adult Sample

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