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A Clinical Decision Support System for Chronic Pain Management in Primary Care: Usability testing and its relevance.

Overview of attention for article published in BMJ Health & Care Informatics, August 2015
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Title
A Clinical Decision Support System for Chronic Pain Management in Primary Care: Usability testing and its relevance.
Published in
BMJ Health & Care Informatics, August 2015
DOI 10.14236/jhi.v22i3.149
Pubmed ID
Authors

Kalpana Maria Nair, Raheleh Malaeekeh, Inge Schabort, Paul Taenzer, Arun Radhakrishnan, Dale Guenter

Abstract

Clinical decision support systems (CDSSs) that are integrated into electronic medical records may be useful for encouraging practice change compliant with clinical practice guidelines. To engage end users to inform early phase CDSS development through a process of usability testing. A sequential exploratory mixed method approach was used. Interprofessional clinician participants (seven in iteration 1 and six in iteration 2) were asked to 'think aloud' while performing various tasks on the CDSS and then complete the System Usability Scale (SUS). Changes were made to the CDSS after each iteration.Results Barriers and facilitators were identified: systemic; user interface (most numerous barriers); content (most numerous facilitators) and technical. The mean SUS score was 81.1 (SD = 12.02) in iteration 1 and 70.40 (SD = 6.78) in iteration 2 (p > 0.05). Qualitative data from usability testing were valuable in the CDSS development process. SUS scores were of limited value at this development stage.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 26%
Student > Master 11 18%
Student > Ph. D. Student 8 13%
Other 3 5%
Student > Doctoral Student 2 3%
Other 11 18%
Unknown 10 16%
Readers by discipline Count As %
Medicine and Dentistry 16 26%
Computer Science 7 11%
Nursing and Health Professions 5 8%
Social Sciences 4 7%
Psychology 3 5%
Other 11 18%
Unknown 15 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 September 2016.
All research outputs
#22,805,112
of 25,425,223 outputs
Outputs from BMJ Health & Care Informatics
#1
of 1 outputs
Outputs of similar age
#236,623
of 276,241 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 1 outputs
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