Clinician preferences for computerised clinical decision support for medications in primary care: A focus group study

Katy E. Trinkley, Weston W. Blakeslee, Daniel D. Matlock, David P. Kao, Amanda G. Van Matre, Robert Harrison, Cynthia L. Larson, Nic Kostman, Jennifer A. Nelson, Chen Tan Lin, Daniel C Malone

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background To improve user-centred design efforts and efficiency; there is a need to disseminate information on modern day clinician preferences for technologies such as computerised clinical decision support (CDS). Objective To describe clinician perceptions regarding beneficial features of CDS for chronic medications in primary care. Methods This study included focus groups and clinicians individually describing their ideal CDS. Three focus groups were conducted including prescribing clinicians from a variety of disciplines. Outcome measures included identification of favourable features and unintended consequences of CDS for chronic medication management in primary care. We transcribed recordings, performed thematic qualitative analysis and generated counts when possible. Results There were 21 participants who identified four categories of beneficial CDS features during the group discussion: non-interruptive alerts, clinically relevant and customisable support, presentation of pertinent clinical information and optimises workflow. Non-interruptive alerts were broadly defined as passive alerts that a user chooses to review, whereas interruptive were active or disruptive alerts that interrupted workflow and one is forced to review before completing a task. The CDS features identified in the individual descriptions were consistent with the focus group discussion, with the exception of non-interruptive alerts. In the individual descriptions, 12 clinicians preferred interruptive CDS compared with seven clinicians describing non-interruptive CDS. Conclusion Clinicians identified CDS for chronic medications beneficial when they are clinically relevant and customisable, present pertinent clinical information (eg, labs, vitals) and improve their workflow. Although clinicians preferred passive, non-interruptive alerts, most acknowledged that these may not be widely seen and may be less effective. These features align with literature describing best practices in CDS design and emphasise those features clinicians prioritise, which should be considered when designing CDS for medication management in primary care. These findings highlight the disparity between the current state of CDS design and clinician-stated design features associated with beneficial CDS.

Original languageEnglish (US)
Article number000015
JournalBMJ Health and Care Informatics
Volume26
Issue number1
DOIs
StatePublished - Apr 1 2019

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Clinical Decision Support Systems
Focus Groups
Primary Health Care
Workflow
Practice Guidelines

Keywords

  • clinical decision support systems
  • electronic prescribing
  • primary health care

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Health Information Management

Cite this

Clinician preferences for computerised clinical decision support for medications in primary care : A focus group study. / Trinkley, Katy E.; Blakeslee, Weston W.; Matlock, Daniel D.; Kao, David P.; Van Matre, Amanda G.; Harrison, Robert; Larson, Cynthia L.; Kostman, Nic; Nelson, Jennifer A.; Lin, Chen Tan; Malone, Daniel C.

In: BMJ Health and Care Informatics, Vol. 26, No. 1, 000015, 01.04.2019.

Research output: Contribution to journalArticle

Trinkley, KE, Blakeslee, WW, Matlock, DD, Kao, DP, Van Matre, AG, Harrison, R, Larson, CL, Kostman, N, Nelson, JA, Lin, CT & Malone, DC 2019, 'Clinician preferences for computerised clinical decision support for medications in primary care: A focus group study', BMJ Health and Care Informatics, vol. 26, no. 1, 000015. https://doi.org/10.1136/bmjhci-2019-000015
Trinkley, Katy E. ; Blakeslee, Weston W. ; Matlock, Daniel D. ; Kao, David P. ; Van Matre, Amanda G. ; Harrison, Robert ; Larson, Cynthia L. ; Kostman, Nic ; Nelson, Jennifer A. ; Lin, Chen Tan ; Malone, Daniel C. / Clinician preferences for computerised clinical decision support for medications in primary care : A focus group study. In: BMJ Health and Care Informatics. 2019 ; Vol. 26, No. 1.
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T2 - A focus group study

AU - Trinkley, Katy E.

AU - Blakeslee, Weston W.

AU - Matlock, Daniel D.

AU - Kao, David P.

AU - Van Matre, Amanda G.

AU - Harrison, Robert

AU - Larson, Cynthia L.

AU - Kostman, Nic

AU - Nelson, Jennifer A.

AU - Lin, Chen Tan

AU - Malone, Daniel C

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N2 - Background To improve user-centred design efforts and efficiency; there is a need to disseminate information on modern day clinician preferences for technologies such as computerised clinical decision support (CDS). Objective To describe clinician perceptions regarding beneficial features of CDS for chronic medications in primary care. Methods This study included focus groups and clinicians individually describing their ideal CDS. Three focus groups were conducted including prescribing clinicians from a variety of disciplines. Outcome measures included identification of favourable features and unintended consequences of CDS for chronic medication management in primary care. We transcribed recordings, performed thematic qualitative analysis and generated counts when possible. Results There were 21 participants who identified four categories of beneficial CDS features during the group discussion: non-interruptive alerts, clinically relevant and customisable support, presentation of pertinent clinical information and optimises workflow. Non-interruptive alerts were broadly defined as passive alerts that a user chooses to review, whereas interruptive were active or disruptive alerts that interrupted workflow and one is forced to review before completing a task. The CDS features identified in the individual descriptions were consistent with the focus group discussion, with the exception of non-interruptive alerts. In the individual descriptions, 12 clinicians preferred interruptive CDS compared with seven clinicians describing non-interruptive CDS. Conclusion Clinicians identified CDS for chronic medications beneficial when they are clinically relevant and customisable, present pertinent clinical information (eg, labs, vitals) and improve their workflow. Although clinicians preferred passive, non-interruptive alerts, most acknowledged that these may not be widely seen and may be less effective. These features align with literature describing best practices in CDS design and emphasise those features clinicians prioritise, which should be considered when designing CDS for medication management in primary care. These findings highlight the disparity between the current state of CDS design and clinician-stated design features associated with beneficial CDS.

AB - Background To improve user-centred design efforts and efficiency; there is a need to disseminate information on modern day clinician preferences for technologies such as computerised clinical decision support (CDS). Objective To describe clinician perceptions regarding beneficial features of CDS for chronic medications in primary care. Methods This study included focus groups and clinicians individually describing their ideal CDS. Three focus groups were conducted including prescribing clinicians from a variety of disciplines. Outcome measures included identification of favourable features and unintended consequences of CDS for chronic medication management in primary care. We transcribed recordings, performed thematic qualitative analysis and generated counts when possible. Results There were 21 participants who identified four categories of beneficial CDS features during the group discussion: non-interruptive alerts, clinically relevant and customisable support, presentation of pertinent clinical information and optimises workflow. Non-interruptive alerts were broadly defined as passive alerts that a user chooses to review, whereas interruptive were active or disruptive alerts that interrupted workflow and one is forced to review before completing a task. The CDS features identified in the individual descriptions were consistent with the focus group discussion, with the exception of non-interruptive alerts. In the individual descriptions, 12 clinicians preferred interruptive CDS compared with seven clinicians describing non-interruptive CDS. Conclusion Clinicians identified CDS for chronic medications beneficial when they are clinically relevant and customisable, present pertinent clinical information (eg, labs, vitals) and improve their workflow. Although clinicians preferred passive, non-interruptive alerts, most acknowledged that these may not be widely seen and may be less effective. These features align with literature describing best practices in CDS design and emphasise those features clinicians prioritise, which should be considered when designing CDS for medication management in primary care. These findings highlight the disparity between the current state of CDS design and clinician-stated design features associated with beneficial CDS.

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