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Infection control at an urban hospital in Manila, Philippines: a systems engineering assessment of barriers and facilitators

Overview of attention for article published in Antimicrobial Resistance and Infection Control, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
123 Mendeley
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Title
Infection control at an urban hospital in Manila, Philippines: a systems engineering assessment of barriers and facilitators
Published in
Antimicrobial Resistance and Infection Control, September 2017
DOI 10.1186/s13756-017-0248-2
Pubmed ID
Authors

Kaitlin F. Mitchell, Anna K. Barker, Cybele L. Abad, Nasia Safdar

Abstract

Healthcare facilities in low- and middle-income countries, including the Philippines, face substantial challenges in achieving effective infection control. Early stages of interventions should include efforts to understand perceptions held by healthcare workers who participate in infection control programs. We performed a qualitative study to examine facilitators and barriers to infection control at an 800-bed, private, tertiary hospital in Manila, Philippines. Semi-structured interviews were conducted with 22 nurses, physicians, and clinical pharmacists using a guide based on the Systems Engineering Initiative for Patient Safety (SEIPS). Major facilitators and barriers to infection control were reported for each SEIPS factor: person, organization, tasks, physical environment, and technology and tools. Primary facilitators included a robust, long-standing infection control committee, a dedicated infection control nursing staff, and innovative electronic hand hygiene surveillance technology. Barriers included suboptimal dissemination of hand hygiene compliance data, high nursing turnover, clinical time constraints, and resource limitations that restricted equipment purchasing. The identified facilitators and barriers may be used to prioritize possible opportunities for infection control interventions. A systems engineering approach is useful for conducting a comprehensive work system analysis, and maximizing resources to overcome known barriers to infection control in heavily resource-constrained settings.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 15%
Student > Ph. D. Student 16 13%
Student > Master 14 11%
Researcher 9 7%
Lecturer 7 6%
Other 15 12%
Unknown 43 35%
Readers by discipline Count As %
Nursing and Health Professions 28 23%
Medicine and Dentistry 17 14%
Biochemistry, Genetics and Molecular Biology 4 3%
Immunology and Microbiology 4 3%
Engineering 3 2%
Other 18 15%
Unknown 49 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 September 2017.
All research outputs
#1,146,611
of 11,828,942 outputs
Outputs from Antimicrobial Resistance and Infection Control
#184
of 489 outputs
Outputs of similar age
#43,529
of 265,129 outputs
Outputs of similar age from Antimicrobial Resistance and Infection Control
#6
of 23 outputs
Altmetric has tracked 11,828,942 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 61% 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 265,129 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.