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Advancing perinatal patient safety through application of safety science principles using health IT

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

twitter
9 tweeters

Readers on

mendeley
33 Mendeley
Title
Advancing perinatal patient safety through application of safety science principles using health IT
Published in
BMC Medical Informatics and Decision Making, December 2017
DOI 10.1186/s12911-017-0572-8
Pubmed ID
Authors

Jennifer Webb, Asta Sorensen, Samantha Sommerness, Beth Lasater, Kamila Mistry, Leila Kahwati

Abstract

The use of health information technology (IT) has been shown to promote patient safety in Labor and Delivery (L&D) units. The use of health IT to apply safety science principles (e.g., standardization) to L&D unit processes may further advance perinatal safety. Semi-structured interviews were conducted with L&D units participating in the Agency for Healthcare Research and Quality's (AHRQ's) Safety Program for Perinatal Care (SPPC) to assess units' experience with program implementation. Analysis of interview transcripts was used to characterize the process and experience of using health IT for applying safety science principles to L&D unit processes. Forty-six L&D units from 10 states completed participation in SPPC program implementation; thirty-two (70%) reported the use of health IT as an enabling strategy for their local implementation. Health IT was used to improve standardization of processes, use of independent checks, and to facilitate learning from defects. L&D units standardized care processes through use of electronic health record (EHR)-based order sets and use of smart pumps and other technology to improve medication safety. Units also standardized EHR documentation, particularly related to electronic fetal monitoring (EFM) and shoulder dystocia. Cognitive aids and tools were integrated into EHR and care workflows to create independent checks such as checklists, risk assessments, and communication handoff tools. Units also used data from EHRs to monitor processes of care to learn from defects. Units experienced several challenges incorporating health IT, including obtaining organization approval, working with their busy IT departments, and retrieving standardized data from health IT systems. Use of health IT played an integral part in the planning and implementation of SPPC for participating L&D units. Use of health IT is an encouraging approach for incorporating safety science principles into care to improve perinatal safety and should be incorporated into materials to facilitate the implementation of perinatal safety initiatives.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Researcher 5 15%
Student > Ph. D. Student 4 12%
Other 3 9%
Lecturer 2 6%
Other 7 21%
Unknown 7 21%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Nursing and Health Professions 7 21%
Social Sciences 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Computer Science 2 6%
Other 3 9%
Unknown 8 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 April 2018.
All research outputs
#2,186,325
of 12,862,861 outputs
Outputs from BMC Medical Informatics and Decision Making
#219
of 1,163 outputs
Outputs of similar age
#70,055
of 271,071 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 4 outputs
Altmetric has tracked 12,862,861 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,163 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 81% 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 271,071 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them