Adoption of an Internet‐based patient education programme in psychiatric hospitals

Anttila, Minna; Välimäki, Maritta; Koivunen, Marita; Luukkaala, Tiina; Kaila, Minna; Pitkänen, Anneli; Kontio, Raija

doi:10.1111/j.1365-2850.2011.01765.x

Cited by 9 publications

(5 citation statements)

References 39 publications

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“…They often focused on what people were going to do soon, a decision they are about to make, or a behavior they need to alter. The diffusion of innovations theory provides an exception, as this theory considers time to be an essential factor influencing adoption [ 79 ].…”

Section: Resultsmentioning

confidence: 99%

Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Heinsch¹,

Wyllie²,

Carlson³

et al. 2021

J Med Internet Res

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Background Theory-guided approaches to implementation science have informed translation efforts and the acceptance of eHealth (digital health) interventions in clinical care. However, there is scarce evidence on which theories are best suited to addressing the inherent complexity of eHealth implementation. Objective The objectives of this systematic review are to identify theories that inform and explain eHealth implementation and to classify these theories using the typology by Sovacool and Hess for theories of sociotechnical change. Methods An electronic search was conducted in the PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Sociological Source Ultimate, Web of Science, ABI/INFORM, EBSCO, and ProQuest databases in June 2019. Studies were included if they were published between 2009 and June 2019; were written in English; reported on empirical research, regardless of study or publication type; reported on one or more theories in the context of eHealth implementation; and were published in a peer-reviewed journal. A total of 2 reviewers independently assessed the titles, abstracts, and full texts. Theories identified were classified using a typology for theories of sociotechnical change, which was considered a useful tool for ordering and analyzing the diverse theoretical approaches as a basis for future theory building. Results Of the 13,101 potentially relevant titles, 119 studies were included. The review identified 36 theories used to explain implementation approaches in eHealth. The most commonly used approaches were the Technology Acceptance Model (TAM) (n=33) and the Unified Theory of Acceptance and Use of Technology (UTAUT) (n=32). These theories were primarily concerned with individual and interpersonal elements of eHealth acceptance. Less common were theories that reflect the various disorderly social processes and structural dimensions of implementation, such as the normalization process theory (n=17) and the structuration theory (n=6). Conclusions Theories currently informing the implementation of eHealth interventions predominantly focus on predicting or explaining end-user acceptance. Theoretical perspectives that capture the dense and intricate relationships and structures required to enact sustainable change are less well represented in the eHealth literature. Given the growing acknowledgment of the inherent complexity of eHealth implementation, future research should develop and test models that recognize and reflect the multidimensional, dynamic, and relational nature of this process.

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Section: Resultsmentioning

confidence: 99%

Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Heinsch¹,

Wyllie²,

Carlson³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Professionals should also support the use of digital health interventions; their attitudes are crucial for successful implementation of health technology in patient daily care [ 88 ]. Our previous studies have shown that staff members may still be less willing to adopt new technology-based interventions into mental health care [ 89 , 90 ] as they tend to prefer traditional face-to-face methods in mental health care services [ 91 ].…”

Section: Discussionmentioning

confidence: 99%

Habits and Attitudes of Video Gaming and Information Technology Use in People with Schizophrenia: Cross-Sectional Survey

Choi

Yu²,

Wong³

et al. 2020

J Med Internet Res

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Background Information technology and video gaming have potential advantages in the treatment of schizophrenia. However, information regarding the habits and attitudes related to internet use and video gaming in people with schizophrenia is limited. Objective The aim of this study was to explore the habits and attitudes regarding video gaming and information technology usage and their associated factors in people with schizophrenia in Hong Kong. Methods In this cross-sectional survey, service users with schizophrenia were recruited from 6 halfway hostels and 7 integrated centers for mental wellness in Hong Kong. A 79-item self-report questionnaire was utilized to explore the habits of internet use and video gaming in these people with schizophrenia. The attitude toward video gaming was assessed using the Gaming Attitudes, Motivations, and Experiences Scales. Of the 148 individuals in a convenience sample who were invited to participate in this study, 110 willingly participated (a response rate of 74.3%). The data were analyzed using descriptive statistics, a two-tailed independent t test, Pearson correlation, and principal analysis with 3 methods of rotation (varimax, equimax, and promax). Results Most participants (100/110, 90.9%) had access to the internet and half of them (54/110, 49.1%) used the internet daily mostly to watch videos (66/110, 60.0%) or read news or books, etc (42/110, 38.2%). One-third of the participants (36/110, 32.7%) used the internet to play web-based games, and most of them (88/110, 80.0%) had played a video game in the past year. The most favorable gaming platforms were cellular phones (43/88, 49%) followed by computers (19/88, 22%) and arcade cabinets (6/88, 7%). The most favorable game genre was action games (34/145, 23.4%). Those who had a bachelor’s degree or higher scored lower in social interaction than those with a lower education level (P=.03). Those who played video games daily scored higher in the category of story than those who did not play daily (t86=2.03, P=.05). The most popular gaming category was autonomy and the least popular categories were violent catharsis and violent reward. Two motives, “social playing” and “evasive playing,” were formed to describe the characteristics of playing video games. Conclusions Our data showed a high internet utilization rate among people with schizophrenia in Hong Kong. Only a few of them used the internet to search for health-related information. Our study also exemplified the unique habits of gaming among the participants. Health care professionals could utilize video games to engage people with schizophrenia and promote coping with stress and provide social skills training to such people with schizophrenia. Identification of the gaming attitudes can contribute to the development of serious games for the schizophrenic population. Further investigation is vital for the promotion of mental health through web-based platforms.

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“…internet-based patient education programme) and the authors of a given publication (e.g. Anttila et al, 2011). In addition we included whether the innovation diffused in a business-to-business or business-to-consumer setting.…”

Section: Methodsmentioning

confidence: 99%

Innovators and Early Adopters in the Diffusion of Innovations: A Literature Review

Dedehayir

Ortt

Riverola

et al. 2017

Int. J. Innov. Mgt.

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Despite accounting for a very small percentage of the population that adopts an innovation, the ‘innovators’ and ‘early adopters’ — representing the two earliest groups of individuals to acquire the new product or service — play a crucial role in the dissemination of the innovation to larger market segments. The objective of this paper is to understand the characteristics of these individuals that positively influence their decisions to adopt innovations. We argue that awareness of these traits will enable firms to attain speedier uptake of their offerings while aiding policymakers achieve quicker and wider proliferation of new technologies intended for societal benefit. We undertake a review of the literature studying the diffusion of innovations and show future directions that this framework should take to analyse the adoption lifecycle.

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Adoption of an Internet‐based patient education programme in psychiatric hospitals

Cited by 9 publications

References 39 publications

Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Habits and Attitudes of Video Gaming and Information Technology Use in People with Schizophrenia: Cross-Sectional Survey

Innovators and Early Adopters in the Diffusion of Innovations: A Literature Review

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