↓ Skip to main content

Gender disparities in first medical contact and delay in ST-elevation myocardial infarction: a prospective multicentre Swedish survey study

Overview of attention for article published in BMJ Open, May 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Gender disparities in first medical contact and delay in ST-elevation myocardial infarction: a prospective multicentre Swedish survey study
Published in
BMJ Open, May 2018
DOI 10.1136/bmjopen-2017-020211
Pubmed ID
Authors

Sofia Sederholm Lawesson, Rose-Marie Isaksson, Maria Ericsson, Karin Ängerud, Ingela Thylén

Abstract

Compare gender disparities in ST-elevation myocardial infarction (STEMI) regarding first medical contact (FMC) and prehospital delay times and explore factors associated with prehospital delay in men and women separately. Cross-sectional study based on medical records and a validated questionnaire. Eligible patients were enrolled within 24 hours after admittance to hospital. Patients were included from November 2012 to January 2014 from five Swedish hospitals with catheterisation facilities 24/7. 340 men and 109 women aged between 31 and 95 years completed the survey. FMC were divided into five possible contacts: primary healthcare centre by phone or directly, national advisory nurse by phone, emergency medical services (EMS) and emergency room directly. Two parts of prehospital delay times were studied: time from symptom onset to FMC and time from symptom onset to diagnostic ECG. Women more often called an advisory nurse as FMC (28% vs 18%, p=0.02). They had a longer delay until FMC, 90 (IQR 39-221) vs 66 (28-161) min, p=0.04 and until ECG, 146 (68-316) vs 103 (61-221) min, p=0.03. Men went to hospital because of believing they were stricken by an MI to a higher extent than women did (25% vs 15%, p=0.04) and were more often recommended to call EMS by bystanders (38% vs 22%, p<0.01). Hesitating about going to hospital and experiencing pain in the stomach/back/shoulders were factors associated with longer delays in women. Believing the symptoms would disappear or interpreting them as nothing serious were corresponding factors in men. In both genders bystanders acting by contacting EMS explained shorter prehospital delays. In STEMI, women differed from men in FMC and they had longer delays. This was partly due to atypical symptoms and a longer decision time. Bystanders acted more promptly when men than when women fell ill. Public knowledge of MI symptoms, and how to act properly, still seems insufficient.

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

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 14%
Student > Master 14 13%
Researcher 7 6%
Student > Ph. D. Student 7 6%
Student > Doctoral Student 7 6%
Other 19 17%
Unknown 41 37%
Readers by discipline Count As %
Nursing and Health Professions 31 28%
Medicine and Dentistry 23 21%
Social Sciences 3 3%
Agricultural and Biological Sciences 2 2%
Computer Science 2 2%
Other 3 3%
Unknown 46 42%
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 March 2019.
All research outputs
#15,175,718
of 25,382,440 outputs
Outputs from BMJ Open
#16,134
of 25,593 outputs
Outputs of similar age
#180,114
of 338,967 outputs
Outputs of similar age from BMJ Open
#402
of 612 outputs
Altmetric has tracked 25,382,440 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 25,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 34th percentile – i.e., 34% 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 338,967 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.