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Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool.
Baysari, Melissa T; Duong, Mai H; Hooper, Patrick; Stockey-Bridge, Michaela; Awad, Selvana; Zheng, Wu Yi; Hilmer, Sarah N.
Afiliação
  • Baysari MT; Discipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, Charles Perkins Centre, D17, The University of Sydney, Sydney, NSW, 2006, Australia. Melissa.baysari@sydney.edu.au.
  • Duong MH; Kolling Institute of Medical Research, Faculty of Medicine and Health, University of Sydney and Royal North Shore Hospital, Sydney, Australia.
  • Hooper P; Departments of Clinical Pharmacology and Aged Care, Royal North Shore Hospital, Sydney, Australia.
  • Stockey-Bridge M; eMR Connect Program, eHealth NSW, Sydney, Australia.
  • Awad S; Clinical Engagement and Patient Safety, eHealth NSW, Sydney, Australia.
  • Zheng WY; Clinical Engagement and Patient Safety, eHealth NSW, Sydney, Australia.
  • Hilmer SN; Discipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, Charles Perkins Centre, D17, The University of Sydney, Sydney, NSW, 2006, Australia.
BMC Med Inform Decis Mak ; 21(1): 116, 2021 04 05.
Article em En | MEDLINE | ID: mdl-33820536
ABSTRACT

BACKGROUND:

Despite growing evidence that deprescribing can improve clinical outcomes, quality of life and reduce the likelihood of adverse drug events, the practice is not widespread, particularly in hospital settings. Clinical risk assessment tools, like the Drug Burden Index (DBI), can help prioritise patients for medication review and prioritise medications to deprescribe, but are not integrated within routine care. The aim of this study was to conduct formative usability testing of a computerised decision support (CDS) tool, based on DBI, to identify modifications required to the tool prior to trialling in practice.

METHODS:

Our CDS tool comprised a DBI MPage in the electronic medical record (clinical workspace) that facilitated review of a patient's DBI and medication list, access to deprescribing resources, and the ability to deprescribe. Two rounds of scenario-based formative usability testing with think-aloud protocol were used. Seventeen end-users participated in the testing, including junior and senior doctors, and pharmacists.

RESULTS:

Participants expressed positive views about the DBI CDS tool but testing revealed a number of clear areas for improvement. These primarily related to terminology used (i.e. what is a DBI and how is it calculated?), and consistency of functionality and display. A key finding was that users wanted the CDS tool to look and function in a similar way to other decision support tools in the electronic medical record. Modifications were made to the CDS tool in response to user feedback.

CONCLUSION:

Usability testing proved extremely useful for identifying components of our CDS tool that were confusing, difficult to locate or to understand. We recommend usability testing be adopted prior to implementation of any digital health intervention. We hope our revised CDS tool equips clinicians with the knowledge and confidence to consider discontinuation of inappropriate medications in routine care of hospitalised patients. In the next phase of our project, we plan to pilot test the tool in practice to evaluate its uptake and effectiveness in supporting deprescribing in routine hospital care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Desprescrições Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Desprescrições Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Austrália