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Predicting and reducing risk of exacerbations in children with asthma in the primary care setting: current perspectives

Overview of attention for article published in Pragmatic and Observational Research, August 2016
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29 Mendeley
Title
Predicting and reducing risk of exacerbations in children with asthma in the primary care setting: current perspectives
Published in
Pragmatic and Observational Research, August 2016
DOI 10.2147/por.s98928
Pubmed ID
Authors

Steve Turner

Abstract

Childhood asthma is a very common condition in western countries and is becoming more prevalent worldwide. Asthma attacks (or exacerbations) affect the quality of life for child and parent, can rarely result in death, and also come at a cost for health care providers and the economy. The aims of this review were to 1) describe the burden of asthma exacerbations, 2) describe factors that might predict a child at increased risk of having an asthma attack, and 3) explore what interventions might be delivered in primary care to reduce the risk of a child having an asthma attack. Asthma attacks are more common in younger children and those with more severe asthma, although prevalence varies between countries. Many factors are associated with asthma attacks including environmental exposures, patient-clinician relationship, and patient factors. Currently, the best predictor of an asthma attack is a history of an attack in the previous 12 months, and the more attacks, the greater the risk. Looking ahead, it is likely that surveillance of routinely collected primary care data can be used to identify an individual at increased risk. Stratified (or personalized) treatment, which might involve physiological monitoring and genetic analysis, offers the potential to reduce an individual's risk of asthma attack. Whatever the future holds, the relationship between patient and clinician will remain central to asthma management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 %
Student > Master 4 14%
Student > Postgraduate 4 14%
Researcher 4 14%
Student > Bachelor 2 7%
Other 2 7%
Other 6 21%
Unknown 7 24%
Readers by discipline Count As %
Medicine and Dentistry 12 41%
Engineering 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Nursing and Health Professions 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 10%
Unknown 9 31%
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 22 August 2016.
All research outputs
#15,417,146
of 25,748,735 outputs
Outputs from Pragmatic and Observational Research
#1
of 1 outputs
Outputs of similar age
#217,577
of 382,496 outputs
Outputs of similar age from Pragmatic and Observational Research
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 0 of them.
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