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Working with patients and the public to design an electronic health record interface: a qualitative mixed-methods study

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2019
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
23 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Working with patients and the public to design an electronic health record interface: a qualitative mixed-methods study
Published in
BMC Medical Informatics and Decision Making, December 2019
DOI 10.1186/s12911-019-0993-7
Pubmed ID
Authors

Leigh R. Warren, Matthew Harrison, Sonal Arora, Ara Darzi

Abstract

Enabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which may make them unsuitable for patient use. We aimed to develop an evidence-based electronic health record (EHR) interface and participatory design process by involving patients and the public. Participants were recruited to multi-step workshops involving individual and group design activities. A mixture of quantitative and qualitative questionnaires and observational methods were used to collect participant perspectives on interface design and feedback on the workshop design process. 48 recruited participants identified several design principles and components of a patient-centred electronic medical record interface. Most participants indicated that an interactive timeline would be an appropriate way to depict a medical history. Several key principles and design components, including the use of specific colours and shapes for clinical events, were identified. Participants found the workshop design process utilised to be useful, interesting, enjoyable and beneficial to their understanding of the challenges of information exchange in healthcare. Patients and the public should be involved in EHR interface design if these systems are to be suitable for use by patient-users. Workshops, as used in this study, can provide an engaging format for patient design input. Design principles and components highlighted in this study should be considered when patient-facing EHR design interfaces are being developed.

Twitter Demographics

The data shown below were collected from the profiles of 23 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Student > Ph. D. Student 6 13%
Other 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 5 11%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Computer Science 5 11%
Nursing and Health Professions 4 9%
Design 3 7%
Social Sciences 3 7%
Other 7 15%
Unknown 16 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 16 January 2021.
All research outputs
#1,097,579
of 18,234,522 outputs
Outputs from BMC Medical Informatics and Decision Making
#54
of 1,653 outputs
Outputs of similar age
#37,702
of 408,112 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 170 outputs
Altmetric has tracked 18,234,522 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 96% 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 408,112 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 90% of its contemporaries.
We're also able to compare this research output to 170 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 95% of its contemporaries.