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Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature

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

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

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4 tweeters

Citations

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10 Dimensions

Readers on

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128 Mendeley
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Title
Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature
Published in
BMC Medical Informatics and Decision Making, September 2017
DOI 10.1186/s12911-017-0538-x
Pubmed ID
Authors

Marie-Line Gentil, Marc Cuggia, Laure Fiquet, Camille Hagenbourger, Thomas Le Berre, Agnès Banâtre, Eric Renault, Guillaume Bouzille, Anthony Chapron

Abstract

Primary care data gathered from Electronic Health Records are of the utmost interest considering the essential role of general practitioners (GPs) as coordinators of patient care. These data represent the synthesis of the patient history and also give a comprehensive picture of the population health status. Nevertheless, discrepancies between countries exist concerning routine data collection projects. Therefore, we wanted to identify elements that influence the development and durability of such projects. A systematic review was conducted using the PubMed database to identify worldwide current primary care data collection projects. The gray literature was also searched via official project websites and their contact person was emailed to obtain information on the project managers. Data were retrieved from the included studies using a standardized form, screening four aspects: projects features, technological infrastructure, GPs' roles, data collection network organization. The literature search allowed identifying 36 routine data collection networks, mostly in English-speaking countries: CPRD and THIN in the United Kingdom, the Veterans Health Administration project in the United States, EMRALD and CPCSSN in Canada. These projects had in common the use of technical facilities that range from extraction tools to comprehensive computing platforms. Moreover, GPs initiated the extraction process and benefited from incentives for their participation. Finally, analysis of the literature data highlighted that governmental services, academic institutions, including departments of general practice, and software companies, are pivotal for the promotion and durability of primary care data collection projects. Solid technical facilities and strong academic and governmental support are required for promoting and supporting long-term and wide-range primary care data collection projects.

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

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 17%
Researcher 21 16%
Student > Ph. D. Student 19 15%
Student > Postgraduate 10 8%
Other 7 5%
Other 25 20%
Unknown 24 19%
Readers by discipline Count As %
Medicine and Dentistry 38 30%
Social Sciences 11 9%
Computer Science 11 9%
Nursing and Health Professions 9 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Other 23 18%
Unknown 29 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 October 2017.
All research outputs
#4,105,183
of 13,769,393 outputs
Outputs from BMC Medical Informatics and Decision Making
#492
of 1,239 outputs
Outputs of similar age
#95,607
of 272,275 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 13,769,393 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,239 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 59% 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 272,275 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 64% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them