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Evaluation of the use of Swedish integrated electronic health records and register health care data as support clinical trials in severe asthma: the PACEHR study

Overview of attention for article published in Respiratory Research, November 2016
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Title
Evaluation of the use of Swedish integrated electronic health records and register health care data as support clinical trials in severe asthma: the PACEHR study
Published in
Respiratory Research, November 2016
DOI 10.1186/s12931-016-0461-1
Pubmed ID
Authors

Stefan Franzén, Christer Janson, Kjell Larsson, Max Petzold, Urban Olsson, Gunnar Magnusson, Gunilla Telg, Gene Colice, Gunnar Johansson, Mats Sundgren

Abstract

In the development of new drugs for severe asthma, it is a challenge from an ethical point of view to randomize severe asthma patients to placebo, and to obtain long-term safety data due to discontinuations. The aim of this study was to evaluate the feasibility of using electronic health record (EHR) data to create a real-world reference population of uncontrolled asthmatic patients to supplement the concurrent control/placebo group in long-term studies of asthma. EHR data from 36 primary care centres and a University hospital in Sweden were linked to Swedish mandatory health registers (2005-2013), creating a population covering 33 890 asthma patients, including data on co-morbidities, risk factors and laboratory/respiratory measurements. A severe asthma EHR reference cohort was established. We used logistic regression to estimate the propensity score (probability) of each RCT or EHR patient existing in the EHR cohort given their covariates. We created an EHR-derived reference cohort of 240 patients, matching the placebo group (N = 151) in an RCT of severe asthma. The exacerbation rate during follow-up in the EHR study population was 1.24 (weighted) compared to 0.9 in the RCT placebo group. Patients in the EHR cohort were of similar age as in the RCT placebo group, 50.6 years versus 50.1 years; had slightly higher body mass index 27.0 kg/m(2) versus 27.3 kg/m(2); and consisted of 40% versus 34% males. The results indicate that EHRs provide an opportunity to supplement the control group in RCTs of severe diseases.

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The data shown below were collected from the profiles of 2 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 18%
Researcher 11 13%
Student > Ph. D. Student 8 10%
Student > Bachelor 5 6%
Other 4 5%
Other 14 17%
Unknown 27 32%
Readers by discipline Count As %
Medicine and Dentistry 22 26%
Nursing and Health Professions 7 8%
Social Sciences 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 11 13%
Unknown 32 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 November 2016.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Respiratory Research
#2,055
of 3,062 outputs
Outputs of similar age
#193,781
of 311,937 outputs
Outputs of similar age from Respiratory Research
#25
of 45 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 27th percentile – i.e., 27% 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 311,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.