Table 1 |
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Structural and contextual variables and their expected influence on EHR adoption |
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Variable |
Description |
Hypothesis |
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Horizontal specialisation |
The division of work is negotiated between the various specialties rather than on a hierarchical basis. |
1. Horizontal specialisation has a negative influence on EHR adoption. |
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Functional differentiation |
Differentiation, i.e., how the work is divided, is based upon production units, or fields of expertise. |
2. The influence of functional differentiation on EHR adoption depends on groups' values towards the system. |
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Decentralisation of power |
Informal power is both vertically and horizontally decentralised. Power is dispersed towards the bottom of the hierarchical chain and professionals exert a control over decision processes. |
3. Decentralisation of power has a variable influence on EHR adoption, depending on professionals' values towards the technology. |
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Size |
Hospital size has usually been measured as the number of beds. In the case of other organisations, number of physicians. |
4. Larger organisations are more likely to adopt EHR. |
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Competition |
The number of hospitals in the health region. |
5. Organisations in regions where there are other hospitals are more likely to adopt HER. |
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Localisation |
Health care organisations in the Province of Quebec are located in urban, outlying, remote, or isolated regions. |
6. Organisations located in remote and isolated regions are less likely to adopt EHR. |
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Teaching status |
Organisations with a teaching status have a larger network because of the presence physicians and residents from university hospitals. |
7. Organisations with a teaching status are more likely to adopt EHR. |
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Gagnon et al. Implementation Science 2010 5:30 doi:10.1186/1748-5908-5-30 |
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