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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

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
twitter
4 tweeters

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
145 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 23%
Student > Doctoral Student 19 13%
Student > Ph. D. Student 18 12%
Researcher 13 9%
Lecturer > Senior Lecturer 7 5%
Other 26 18%
Unknown 28 19%
Readers by discipline Count As %
Business, Management and Accounting 22 15%
Computer Science 21 14%
Nursing and Health Professions 16 11%
Medicine and Dentistry 14 10%
Engineering 10 7%
Other 24 17%
Unknown 38 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 May 2019.
All research outputs
#3,927,110
of 15,585,351 outputs
Outputs from BMC Medical Informatics and Decision Making
#366
of 1,412 outputs
Outputs of similar age
#76,817
of 267,483 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 8 outputs
Altmetric has tracked 15,585,351 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,412 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 267,483 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 71% 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 6 of them.