Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study
| Autor: | Daniel D. Matlock, David P. Kao, Amanda G. Van Matre, Weston W. Blakeslee, Jennifer A. Nelson, Daniel C. Malone, Chen-Tan Lin, Nic Kostman, Katy E. Trinkley, Cynthia L. Larson, Robert Harrison |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 020205 medical informatics media_common.quotation_subject Best practice Health Informatics 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics Clinical decision support system Medical Order Entry Systems Task (project management) 03 medical and health sciences Presentation 0302 clinical medicine Health Information Management Electronic prescribing 0202 electrical engineering electronic engineering information engineering medicine Humans 030212 general & internal medicine Practice Patterns Physicians' Aged Original Research clinical decision support systems media_common Primary Health Care electronic prescribing business.industry Focus Groups Middle Aged Decision Support Systems Clinical medicine.disease Focus group Computer Science Applications Identification (information) Workflow Grounded Theory lcsh:R858-859.7 Female Medical emergency business |
| Zdroj: | BMJ Health & Care Informatics, Vol 26, Iss 1 (2019) BMJ Health & Care Informatics |
| ISSN: | 2632-1009 |
| Popis: | BackgroundTo 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).ObjectiveTo describe clinician perceptions regarding beneficial features of CDS for chronic medications in primary care.MethodsThis 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.ResultsThere 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.ConclusionClinicians 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. |
| Databáze: | OpenAIRE |
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