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Characteristics of acute febrile illness and determinants of illness recovery among adults presenting to Singapore primary care clinics

Overview of attention for article published in BMC Infectious Diseases, October 2016
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Title
Characteristics of acute febrile illness and determinants of illness recovery among adults presenting to Singapore primary care clinics
Published in
BMC Infectious Diseases, October 2016
DOI 10.1186/s12879-016-1958-4
Pubmed ID
Authors

Zaw Myo Tun, Mahesh Moorthy, Martin Linster, Yvonne CF Su, Richard James Coker, Eng Eong Ooi, Jenny Guek-Hong Low, Gavin J. D. Smith, Clarence C. Tam

Abstract

Undifferentiated acute febrile illness (AFI) is a common presentation among adults in primary care settings in Singapore but large gaps exist in the understanding of the characteristics of these patients. We studied clinical and epidemiological characteristics of AFI patients and factors associated with delayed recovery from AFI. We performed a secondary data analysis using data from the Early DENgue infection and outcome (EDEN) study on 2046 adult patients presenting at 5 Singapore polyclinics between December 2007 and February 2013 with a history of fever (≥38 °C) for less than 72 h. We used an accelerated failure time model to investigate factors associated with delayed recovery from AFI. The mean age of patients was 36.6 years, 65 % were male, 51 % were of Chinese ethnicity, and 75 % lived in public housing. Median illness duration was 5 days (interquartile range, 3-7). In multivariable analysis, the unemployed and white collar workers had longer illness duration compared with blue collar workers (time ratio (TR), 1.10; 95 % confidence interval (CI), 1.03-1.17 and TR, 1.08; 95 % CI, 1.02-1.15, respectively). Patients with more symptoms at initial consultation had slower recovery (TR, 1.03 per additional symptom; 95 % CI, 1.02-1.03). Other clinical factors were also associated with longer duration of illness, including use of analgesics (TR, 1.21; 95 % CI, 1.15-1.28); use of cough medicines (TR, 1.14; 95 % CI, 1.08-1.20); use of antibiotics (TR, 1.14; 95 % CI, 1.07-1.21); and hospitalization (TR, 1.59; 95 % CI, 1.39-1.82). Compared to patients with normal WBC count at first consultation, those with low WBC count had slower recovery (TR, 1.14; 95 % CI, 1.07-1.21), while the reverse was observed among patients with high WBC count (TR, 0.94; 95 % CI, 0.88-1.00). Differences in illness duration among different types of employment may reflect differences in their underlying general health status. Early identification of factors delaying recovery could help triage management in a primary care setting. In-depth characterization of fever etiology in Singapore will improve surveillance and control activities.

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

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 13 18%
Student > Bachelor 8 11%
Student > Postgraduate 6 8%
Student > Doctoral Student 3 4%
Other 9 12%
Unknown 20 27%
Readers by discipline Count As %
Medicine and Dentistry 25 34%
Nursing and Health Professions 5 7%
Immunology and Microbiology 4 5%
Veterinary Science and Veterinary Medicine 3 4%
Agricultural and Biological Sciences 3 4%
Other 12 16%
Unknown 21 29%
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 01 December 2016.
All research outputs
#14,869,124
of 22,899,952 outputs
Outputs from BMC Infectious Diseases
#4,097
of 7,691 outputs
Outputs of similar age
#187,761
of 313,743 outputs
Outputs of similar age from BMC Infectious Diseases
#117
of 233 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,691 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 41st percentile – i.e., 41% 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 313,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.