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Electronic Health Record Portal Adoption: a cross country analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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4 tweeters

Citations

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46 Dimensions

Readers on

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161 Mendeley
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Title
Electronic Health Record Portal Adoption: a cross country analysis
Published in
BMC Medical Informatics and Decision Making, July 2017
DOI 10.1186/s12911-017-0482-9
Pubmed ID
Authors

Jorge Tavares, Tiago Oliveira

Abstract

This study's goal is to understand the factors that drive individuals to adopt Electronic Health Record (EHR) portals and to estimate if there are differences between countries with different healthcare models. We applied a new adoption model using as a starting point the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) by incorporating the Concern for Information Privacy (CFIP) framework. To evaluate the research model we used the partial least squares (PLS) - structural equation modelling (SEM) approach. An online questionnaire was administrated in the United States (US) and Europe (Portugal). We collected 597 valid responses. The statistically significant factors of behavioural intention are performance expectancy ([Formula: see text] total = 0.285; P < 0.01), effort expectancy ([Formula: see text] total = 0.160; P < 0.01), social influence ([Formula: see text] total = 0.198; P < 0.01), hedonic motivation ([Formula: see text] total = -0.141; P < 0.01), price value ([Formula: see text] total = 0.152; P < 0.01), and habit ([Formula: see text] total = 0.255; P < 0.01). The predictors of use behaviour are habit ([Formula: see text] total = 0.145; P < 0.01), and behavioural intention ([Formula: see text] total = 0.480; P < 0.01). Social influence, hedonic motivation, and price value are only predictors in the US group. The model explained 53% of the variance in behavioural intention and 36% of the variance in use behaviour. Our study identified critical factors for the adoption of EHR portals and significant differences between the countries. Confidentiality issues do not seem to influence acceptance. The EHR portals usage patterns are significantly higher in US compared to Portugal.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 22%
Student > Ph. D. Student 19 12%
Student > Doctoral Student 19 12%
Researcher 14 9%
Lecturer 5 3%
Other 30 19%
Unknown 38 24%
Readers by discipline Count As %
Computer Science 22 14%
Business, Management and Accounting 21 13%
Nursing and Health Professions 16 10%
Medicine and Dentistry 14 9%
Engineering 11 7%
Other 29 18%
Unknown 48 30%

Attention Score in Context

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 07 July 2017.
All research outputs
#12,398,530
of 21,362,911 outputs
Outputs from BMC Medical Informatics and Decision Making
#910
of 1,866 outputs
Outputs of similar age
#134,309
of 283,635 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 8 outputs
Altmetric has tracked 21,362,911 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,866 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 283,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.