Descriptive Usability Study of CirrODS: Clinical Decision and Workflow Support Tool for Management of Patients With Cirrhosis.

clinical decision support human factors engineering interview liver cirrhosis

Journal

JMIR medical informatics
ISSN: 2291-9694
Titre abrégé: JMIR Med Inform
Pays: Canada
ID NLM: 101645109

Informations de publication

Date de publication:
03 Jul 2019
Historique:
received: 07 02 2019
accepted: 15 05 2019
revised: 13 05 2019
entrez: 5 7 2019
pubmed: 5 7 2019
medline: 5 7 2019
Statut: epublish

Résumé

There are gaps in delivering evidence-based care for patients with chronic liver disease and cirrhosis. Our objective was to use interactive user-centered design methods to develop the Cirrhosis Order Set and Clinical Decision Support (CirrODS) tool in order to improve clinical decision-making and workflow. Two work groups were convened with clinicians, user experience designers, human factors and health services researchers, and information technologists to create user interface designs. CirrODS prototypes underwent several rounds of formative design. Physicians (n=20) at three hospitals were provided with clinical scenarios of patients with cirrhosis, and the admission orders made with and without the CirrODS tool were compared. The physicians rated their experience using CirrODS and provided comments, which we coded into categories and themes. We assessed the safety, usability, and quality of CirrODS using qualitative and quantitative methods. We created an interactive CirrODS prototype that displays an alert when existing electronic data indicate a patient is at risk for cirrhosis. The tool consists of two primary frames, presenting relevant patient data and allowing recommended evidence-based tests and treatments to be ordered and categorized. Physicians viewed the tool positively and suggested that it would be most useful at the time of admission. When using the tool, the clinicians placed fewer orders than they placed when not using the tool, but more of the orders placed were considered to be high priority when the tool was used than when it was not used. The physicians' ratings of CirrODS indicated above average usability. We developed a novel Web-based combined clinical decision-making and workflow support tool to alert and assist clinicians caring for patients with cirrhosis. Further studies are underway to assess the impact on quality of care for patients with cirrhosis in actual practice.

Sections du résumé

BACKGROUND BACKGROUND
There are gaps in delivering evidence-based care for patients with chronic liver disease and cirrhosis.
OBJECTIVE OBJECTIVE
Our objective was to use interactive user-centered design methods to develop the Cirrhosis Order Set and Clinical Decision Support (CirrODS) tool in order to improve clinical decision-making and workflow.
METHODS METHODS
Two work groups were convened with clinicians, user experience designers, human factors and health services researchers, and information technologists to create user interface designs. CirrODS prototypes underwent several rounds of formative design. Physicians (n=20) at three hospitals were provided with clinical scenarios of patients with cirrhosis, and the admission orders made with and without the CirrODS tool were compared. The physicians rated their experience using CirrODS and provided comments, which we coded into categories and themes. We assessed the safety, usability, and quality of CirrODS using qualitative and quantitative methods.
RESULTS RESULTS
We created an interactive CirrODS prototype that displays an alert when existing electronic data indicate a patient is at risk for cirrhosis. The tool consists of two primary frames, presenting relevant patient data and allowing recommended evidence-based tests and treatments to be ordered and categorized. Physicians viewed the tool positively and suggested that it would be most useful at the time of admission. When using the tool, the clinicians placed fewer orders than they placed when not using the tool, but more of the orders placed were considered to be high priority when the tool was used than when it was not used. The physicians' ratings of CirrODS indicated above average usability.
CONCLUSIONS CONCLUSIONS
We developed a novel Web-based combined clinical decision-making and workflow support tool to alert and assist clinicians caring for patients with cirrhosis. Further studies are underway to assess the impact on quality of care for patients with cirrhosis in actual practice.

Identifiants

pubmed: 31271153
pii: v7i3e13627
doi: 10.2196/13627
pmc: PMC6636234
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e13627

Subventions

Organisme : EPA
ID : EP-D-13-052
Pays : United States
Organisme : HSRD VA
ID : I01 HX001284
Pays : United States

Informations de copyright

©Jennifer Hornung Garvin, Julie Ducom, Michael Matheny, Anne Miller, Dax Westerman, Carrie Reale, Jason Slagle, Natalie Kelly, Russ Beebe, Jejo Koola, Erik J Groessl, Emily S Patterson, Matthew Weinger, Amy M Perkins, Samuel B Ho. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 03.07.2019.

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Auteurs

Jennifer Hornung Garvin (JH)

Health Information Management and Systems, The Ohio State University, Columbus, OH, United States.
Center for Health Information and Communication, Richard L Roudebush Department of Veterans Affairs Medical Center, Indianapolis, IN, United States.
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.
Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
Department of Veteran Affairs Salt Lake City Healthcare System, Salt Lake City, UT, United States.
Division of Epidemiology, University of Utah, Salt Lake City, UT, United States.

Julie Ducom (J)

Department of Veterans Affairs San Diego Healthcare System, San Diego, CA, United States.

Michael Matheny (M)

Geriatric Research Education and Clinical Center, Department of Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, United States.
Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.

Anne Miller (A)

Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, TN, United States.

Dax Westerman (D)

Geriatric Research Education and Clinical Center, Department of Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, United States.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.

Carrie Reale (C)

Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, TN, United States.

Jason Slagle (J)

Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, TN, United States.

Natalie Kelly (N)

Department of Veteran Affairs Salt Lake City Healthcare System, Salt Lake City, UT, United States.

Russ Beebe (R)

Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, TN, United States.

Jejo Koola (J)

Geriatric Research Education and Clinical Center, Department of Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, United States.
Department of Medicine, University of California San Diego, San Diego, CA, United States.

Erik J Groessl (EJ)

Department of Veterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, United States.

Emily S Patterson (ES)

Health Information Management and Systems, The Ohio State University, Columbus, OH, United States.

Matthew Weinger (M)

Geriatric Research Education and Clinical Center, Department of Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, United States.
Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, TN, United States.

Amy M Perkins (AM)

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States.

Samuel B Ho (SB)

Department of Veterans Affairs San Diego Healthcare System, San Diego, CA, United States.
Department of Medicine, University of California San Diego, San Diego, CA, United States.
Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.

Classifications MeSH