| Literature DB >> 32427110 |
Pauline Hulter1, Bettine Pluut1, Christine Leenen-Brinkhuis2, Marleen de Mul1, Kees Ahaus1, Anne Marie Weggelaar-Jansen1,3.
Abstract
BACKGROUND: Theoretical models help to explain or predict the adoption of electronic health (eHealth) technology and illustrate the complexity of the adoption process. These models provide insights into general factors that influence the use of eHealth technology. However, they do not give hospitals much actionable knowledge on how to facilitate the adoption process.Entities:
Keywords: adoption; adoption processes; eHealth; patient portal
Year: 2020 PMID: 32427110 PMCID: PMC7268003 DOI: 10.2196/16921
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Theoretical acceptance and adoption models.
| Model | Developer | Year | Theoretical basis | Central constructs | Points of critique | Extended models |
| TAMa | Davis [ | 1985 | Cognitive psychology [ | Describes elements to predict the degree to which a person plans to perform specific future behavior. It suggests that perceived usefulness, perceived ease of use, and attitude (ie, intention to use) can explain user motivation [ | Mainly conceptualized for the acceptance of individuals and is not useful for explaining acceptance of electronic health (eHealth) technologies by organizations [ | TAM2 (by Venkatesh and Davis) and TAM3 (by Venkatesh and Bala) [ |
| DOIb | Rogers [ | 1995 | Diffusion research [ | Explains the characteristics of innovation. Observability, trialability, complexity, relative advantage, and compatibility are the primary determinants of innovation diffusion, which help explain the different rates of adoption [ | There is little focus on the organizational context [ | The unifying theoretical model of Greenhalgh et al [ |
| UTAUTc | Venkatesh et al [ | 2003 | Cognitive psychology [ | Builds on TAM and focuses on perceptions and assumptions of people, resulting in the intention to use technology. States that constructs like performance expectancy, effort expectancy, social influence, and facilitating conditions influence intention and ultimately behavior [ | Does not deal with hindrances to actual use [ | UTAUT2 by Venkatesh et al developed in 2012 [ |
| NASSSd framework | Greenhalgh et al [ | 2017 | Complexity theory [ | Points to aspects explaining the complexity of technological innovations in health care, which according to all the described models influence the adoption. Includes the value proposition (ie, supply-side and demand-side values) as an important factor, in contrast to many implementation theories that do not [ | Not found yet | Not found yet |
aTAM: Technology Acceptance Model.
bDOI: diffusion of innovations.
cUTAUT: Unified Theory of Acceptance and Use of Technology.
dNASSS: nonadoption, abandonment, scale-up, spread, and sustainability.
Data collection.
| Type of data collection and participants | Number of participants (N=122), n (%) | Data collection moments (N=26), n (%) | |
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| Patients | 22 (18.0) | 22 (85) |
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| Health care professionals | 16 (13.1) | 22 (85) |
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| Organizational staff | 31 (25.4) | 22 (85) |
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| Project leaders and staff 1 | 14 (11.5) | 2 (8) |
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| Project leaders and staff 2 | 28 (23.0) | 2 (8) |
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| Patient portal suppliers | 5 (4.1) | 1 (4) |
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| Macro stakeholders | 6 (4.9) | 1 (4) |
Channels (N=23) used to achieve four communication objectives to inform patients and health care professionals.
| Channel | Knowing about the portal | Knowing how the portal works | Knowing that action is required on the portal | Knowing where to find help with the portal |
| Pocket tickets | xa | |||
| Promotion leaflets | x | |||
| Press releases | x | x | ||
| Posters | x |
| ||
| Banners | x | |||
| Screen in waiting room | x | x | ||
| Social media | x | |||
| Video on website | x | x | ||
| Explanatory leaflets | x | x | ||
| Students or volunteers in central hall for a week | x | x | x | |
| Physical point with employees and volunteers | x | x | x | |
| Health care professionals | x | x | x | x |
| Letter with request (before or after appointment) | x | |||
| Text message with request | x | |||
| Mail with request | x | |||
| Staffed desk | xxx | |||
| Informative meetings | xx | |||
| Interactive meetings | xxx | xxx | ||
| Internal website | xx | |||
| Peer to peer | xx | xx | xx | xx |
| Training | xx | xx | xx | |
| Newsletter | xx | |||
| Goodie bag with explanation | xx | xx |
aKey: x = patients; xx = professionals; and xxx = patients and professionals.