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Research Methods in Healthcare Epidemiology: Survey and Qualitative Research

Overview of attention for article published in Infection control and hospital epidemiology (Online), August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
25 news outlets
policy
1 policy source
twitter
5 X users

Readers on

mendeley
520 Mendeley
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Article details
Title
Research Methods in Healthcare Epidemiology: Survey and Qualitative Research
Published in
Infection control and hospital epidemiology (Online), August 2016
DOI 10.1017/ice.2016.171
Pubmed ID
Authors
Abstract

Surveys are one of the most frequently employed study designs in healthcare epidemiology research. Generally easier to undertake and less costly than many other study designs, surveys can be invaluable to gain insights into opinions and practices in large samples and may be descriptive and/or be used to test associations. In this context, qualitative research methods may complement this study design either at the survey development phase and/or at the interpretation/extension of results stage. This methods article focuses on key considerations for designing and deploying surveys in healthcare epidemiology and antibiotic stewardship, including identification of whether or not de novo survey development is necessary, ways to optimally lay out and display a survey, denominator measurement, discussion of biases to keep in mind particularly in research using surveys, and the role of qualitative research methods to complement surveys. We review examples of surveys in healthcare epidemiology and antimicrobial stewardship and review the pros and cons of methods used. A checklist is provided to help aid design and deployment of surveys in healthcare epidemiology and antimicrobial stewardship. Infect Control Hosp Epidemiol 2016;1-6.

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X Demographics

X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 520 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 520 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 79 15%
Student > Bachelor 63 12%
Student > Ph. D. Student 41 8%
Other 29 6%
Researcher 28 5%
Other 71 14%
Unknown 209 40%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 87 17%
Nursing and Health Professions 52 10%
Social Sciences 20 4%
Computer Science 14 3%
Psychology 14 3%
Other 107 21%
Unknown 226 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 203. 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 09 February 2025.
All research outputs
#245,860
of 34,763,505 outputs
Outputs from Infection control and hospital epidemiology (Online)
#56
of 6,296 outputs
Outputs of similar age
#3,699
of 335,902 outputs
Outputs of similar age from Infection control and hospital epidemiology (Online)
#1
of 46 outputs
Altmetric has tracked 34,763,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done particularly well, scoring higher than 99% of its peers.
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 335,902 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.