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Diagnostic behaviour of general practitioners when suspecting Lyme disease: a database study from 2010-2015

Overview of attention for article published in BMC Primary Care, April 2018
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Title
Diagnostic behaviour of general practitioners when suspecting Lyme disease: a database study from 2010-2015
Published in
BMC Primary Care, April 2018
DOI 10.1186/s12875-018-0729-2
Pubmed ID
Authors

Esmée Botman, C. Wim Ang, Johanna H. K. Joosten, Pauline Slottje, Johannes C. van der Wouden, Otto R. Maarsingh

Abstract

Due to the raised public awareness of Lyme Borreliosis (LB), its increased incidence and the increased availability of serological tests, the demand for diagnostic testing on LB has increased. This may affect the diagnostic behaviour of general practitioners (GPs). Aim of our study was to describe GPs' diagnostic behaviour when suspecting LB. In this descriptive study from January 2010 to June 2015, we used the anonymized electronic medical records of 56,996 patients registered in 12 general practices in Amsterdam, The Netherlands. The target population was identified by means of an extensive search strategy, based on International Classification of Primary Care (ICPC-1) codes, free text and diagnostic test codes. All contacts related to LB were included in the analysis. 2311 patients were included, accounting for 3861 LB contacts and 2619 LB episodes. The distribution of LB contacts showed annual peaks during spring and summer. Serological testing was performed in 36.4% of LB episodes and was mostly requested in patients presenting with general symptoms (71.4%). Unnecessary testing often occurred and only 5.9% of the tests turned out to be positive by immunoblot. From January 2010 to June 2015, no significant differences were found in the number of requested serological tests. The level of serological testing during LB episodes differed significantly between the general practices (19.2% to 75.8%). Contrary to clinical guidelines, GPs regularly requested serology even when there was a low suspicion of LB. The development of an easy-to-use diagnostic algorithm may decrease overuse of diagnostic tests and thereby reduce overtreatment of LB.

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Master 3 10%
Other 2 7%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 6 21%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Psychology 4 14%
Veterinary Science and Veterinary Medicine 2 7%
Social Sciences 2 7%
Business, Management and Accounting 1 3%
Other 4 14%
Unknown 9 31%
Attention Score in Context

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 12 April 2018.
All research outputs
#14,393,794
of 25,382,440 outputs
Outputs from BMC Primary Care
#1,232
of 2,359 outputs
Outputs of similar age
#166,603
of 343,066 outputs
Outputs of similar age from BMC Primary Care
#20
of 35 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 46th percentile – i.e., 46% 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 343,066 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 50% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.