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Improving performance in medical practices through the extended use of electronic medical record systems: a survey of Canadian family physicians

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 policy source
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158 Mendeley
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Title
Improving performance in medical practices through the extended use of electronic medical record systems: a survey of Canadian family physicians
Published in
BMC Medical Informatics and Decision Making, April 2015
DOI 10.1186/s12911-015-0152-8
Pubmed ID
Authors

Louis Raymond, Guy Paré, Ana Ortiz de Guinea, Placide Poba-Nzaou, Marie-Claude Trudel, Josianne Marsan, Thomas Micheneau

Abstract

Numerous calls have been made for greater assimilation of information technology in healthcare organizations in general, and in primary care settings in particular. Considering the levels of IT investment and adoption in primary care medical practices, a deeper understanding is needed of the factors leading to greater performance outcomes from EMR systems in primary care. To address this issue, we developed and tested a research model centered on the concept of Extended EMR Use. An online survey was conducted of 331 family physicians in Canadian private medical practices to empirically test seven research hypotheses using a component-based structural equation modeling approach. Five hypotheses were partially or fully supported by our data. Family physicians in our sample used 67% of the clinical and 41% of the communicational functionalities available in their EMR systems, compared to 90% of the administrative features. As expected, extended use was associated with significant improvements in perceived performance benefits. Interestingly, the benefits derived from system use were mainly tied to the clinical support provided by an EMR system. The extent to which physicians were using their EMR systems was influenced by two system design characteristics: functional coverage and ease of use. The more functionalities that are available in an EMR system and the easier they are to use, the greater the potential for exploration, assimilation and appropriation by family physicians. Our study has contributed to the extant literature by proposing a new concept: Extended EMR Use. In terms of its practical implications, our study reveals that family physicians must use as many of the capabilities supported by their EMR system as possible, especially those which support clinical tasks, if they are to maximize its performance benefits. To ensure extended use of their software, vendors must develop EMR systems that satisfy two important design characteristics: functional coverage and system ease of use.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Canada 1 <1%
Unknown 154 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 18%
Student > Ph. D. Student 19 12%
Researcher 14 9%
Student > Bachelor 14 9%
Student > Postgraduate 11 7%
Other 31 20%
Unknown 41 26%
Readers by discipline Count As %
Medicine and Dentistry 26 16%
Nursing and Health Professions 20 13%
Business, Management and Accounting 19 12%
Computer Science 16 10%
Social Sciences 16 10%
Other 18 11%
Unknown 43 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 August 2019.
All research outputs
#5,647,385
of 22,799,071 outputs
Outputs from BMC Medical Informatics and Decision Making
#490
of 1,987 outputs
Outputs of similar age
#66,055
of 264,373 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 36 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,987 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 74% 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 264,373 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 74% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.