Recent research from the European Commission (EC) suggests that the development and adoption of eHealth in primary care is significantly influenced by the context of the national health model in operation. This research identified three national health models in Europe at this time - the National Health Service (NHS) model, the social insurance system (SIS) model and the transition country (TC) model, and found a strong correlation between the NHS model and high adoption rates for eHealth. The objective of this study is to establish if there is a similar correlation in one specific application area - electronic prescribing (ePrescribing) in primary care.
A review of published literature from 2000 to 2014 was undertaken covering the relevant official publications of the European Union and national government as well as the academic literature. An analysis of the development and adoption of ePrescribing in Europe was extracted from these data.
The adoption of ePrescribing in primary care has increased significantly in recent years and is now practised by approximately 32% of European general practitioners. National ePrescribing services are now firmly established in 11 countries, with pilot projects underway in most others. The highest adoption rates are in countries with the NHS model, concentrated in the Nordic area. The electronic transmission of prescriptions continues to pose a significant challenge, especially in SIS countries and TCs.
There is a strong correlation between the NHS model and high adoption rates for ePrescribing similar to the EC findings on the adoption of eHealth. It may be some time before many SIS countries and TCs reach the same adoption levels for ePrescribing and eHealth in primary care as most NHS countries.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 October 2019.
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#8,921,330
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Outputs from BMJ Health & Care Informatics
#234
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#126,357
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Outputs of similar age from BMJ Health & Care Informatics
#3
of 5 outputs
Altmetric has tracked 26,311,549 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 511 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.
