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The impact of electronic records on patient safety: a qualitative study

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2016
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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16 X users

Citations

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17 Dimensions

Readers on

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137 Mendeley
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Title
The impact of electronic records on patient safety: a qualitative study
Published in
BMC Medical Informatics and Decision Making, June 2016
DOI 10.1186/s12911-016-0299-y
Pubmed ID
Authors

Arabella Clarke, Joy Adamson, Ian Watt, Laura Sheard, Paul Cairns, John Wright

Abstract

Our aim was to explore NHS staff perceptions and experiences of the impact on patient safety of introducing a maternity system. Qualitative semi-structured interviews were conducted with 19 members of NHS staff who represented a variety of staff groups (doctors, midwives, health care assistants), staff grades (consultant and midwife grades) and wards within a maternity unit. Participants represented a single maternity unit at a NHS teaching hospital in the North of England. Interviews were conducted during the first 12 months of the system being implemented and were analysed thematically. Participants perceived there to be an elevated risk to patient safety during the system's implementation. The perceived risks were attributed to a range of social and technical factors. For example, poor system design and human error which resulted in an increased potential for missing information and inputting error. The first 12 months of introducing the maternity system was perceived to and in some cases had already caused actual risk to patient safety. Trusts throughout the NHS are facing increasing pressure to become paperless and should be aware of the  potential adverse impacts on patient safety that can occur when introducing electronic systems. Given the potential for increased risk identified, recommendations for further research and for NHS trusts introducing electronic systems are proposed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Unknown 136 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 22%
Student > Ph. D. Student 15 11%
Student > Bachelor 14 10%
Researcher 13 9%
Other 7 5%
Other 28 20%
Unknown 30 22%
Readers by discipline Count As %
Medicine and Dentistry 28 20%
Nursing and Health Professions 17 12%
Business, Management and Accounting 12 9%
Social Sciences 11 8%
Computer Science 10 7%
Other 27 20%
Unknown 32 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 June 2016.
All research outputs
#3,630,258
of 25,765,370 outputs
Outputs from BMC Medical Informatics and Decision Making
#283
of 2,158 outputs
Outputs of similar age
#60,446
of 355,312 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 29 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 86% 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 355,312 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 82% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.