Literature DB >> 24008427

Comparison of two kinds of interface, based on guided navigation or usability principles, for improving the adoption of computerized decision support systems: application to the prescription of antibiotics.

Rosy Tsopra1, Jean-Philippe Jais, Alain Venot, Catherine Duclos.   

Abstract

CONTEXT: It is important to consider the way in which information is presented by the interfaces of clinical decision support systems, to favor the adoption of these systems by physicians. Interface design can focus on decision processes (guided navigation) or usability principles.
OBJECTIVE: The aim of this study was to compare these two approaches in terms of perceived usability, accuracy rate, and confidence in the system.
MATERIALS AND METHODS: We displayed clinical practice guidelines for antibiotic treatment via two types of interface, which we compared in a crossover design. General practitioners were asked to provide responses for 10 clinical cases and the System Usability Scale (SUS) for each interface. We assessed SUS scores, the number of correct responses, and the confidence level for each interface.
RESULTS: SUS score and percentage confidence were significantly higher for the interface designed according to usability principles (81 vs 51, p=0.00004, and 88.8% vs 80.7%, p=0.004). The percentage of correct responses was similar for the two interfaces. DISCUSSION/
CONCLUSION: The interface designed according to usability principles was perceived to be more usable and inspired greater confidence among physicians than the guided navigation interface. Consideration of usability principles in the construction of an interface--in particular 'effective information presentation', 'consistency', 'efficient interactions', 'effective use of language', and 'minimizing cognitive load'--seemed to improve perceived usability and confidence in the system.

Entities:  

Keywords:  Antibiotic prescription; Physicians, Primary care; Practice guideline; Usability; User-computer interface

Mesh:

Substances:

Year:  2013        PMID: 24008427      PMCID: PMC3957402          DOI: 10.1136/amiajnl-2013-002042

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  40 in total

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Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

Review 2.  Computer-based guideline implementation systems: a systematic review of functionality and effectiveness.

Authors:  R N Shiffman; Y Liaw; C A Brandt; G J Corb
Journal:  J Am Med Inform Assoc       Date:  1999 Mar-Apr       Impact factor: 4.497

3.  Termination of a contract to implement an enterprise electronic medical record system.

Authors:  B L Goddard
Journal:  J Am Med Inform Assoc       Date:  2000 Nov-Dec       Impact factor: 4.497

Review 4.  Computerized clinical decision support for prescribing: provision does not guarantee uptake.

Authors:  Annette Moxey; Jane Robertson; David Newby; Isla Hains; Margaret Williamson; Sallie-Anne Pearson
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

5.  Accuracy of a computerized clinical decision-support system for asthma assessment and management.

Authors:  Laura J Hoeksema; Alia Bazzy-Asaad; Edwin A Lomotan; Diana E Edmonds; Gabriela Ramírez-Garnica; Richard N Shiffman; Leora I Horwitz
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

6.  Automating complex guidelines for chronic disease: lessons learned.

Authors:  Saverio M Maviglia; Rita D Zielstorff; Marilyn Paterno; Jonathan M Teich; David W Bates; Gilad J Kuperman
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

7.  Clinical decision support to improve antibiotic prescribing for acute respiratory infections: results of a pilot study.

Authors:  Jeffrey Linder; Jeffrey L Schnipper; Lynn A Volk; Ruslana Tsurikova; Matvey Palchuk; Maya Olsha-Yehiav; Andrea J Melnikas; Blackford Middleton
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

8.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

Authors:  Blackford Middleton; Meryl Bloomrosen; Mark A Dente; Bill Hashmat; Ross Koppel; J Marc Overhage; Thomas H Payne; S Trent Rosenbloom; Charlotte Weaver; Jiajie Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

9.  Evaluation of UltraSTAR: performance of a collaborative structured data entry system.

Authors:  D S Bell; R A Greenes
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

Review 10.  Appropriate vs. inappropriate antimicrobial therapy.

Authors:  P G Davey; C Marwick
Journal:  Clin Microbiol Infect       Date:  2008-04       Impact factor: 8.067

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  13 in total

1.  Clinical Decision Support Tool for Parental Tobacco Treatment in Hospitalized Children.

Authors:  Brian P Jenssen; Eric D Shelov; Christopher P Bonafide; Steven L Bernstein; Alexander G Fiks; Tyra Bryant-Stephens
Journal:  Appl Clin Inform       Date:  2016-05-25       Impact factor: 2.342

Review 2.  Usability Flaws in Medication Alerting Systems: Impact on Usage and Work System.

Authors:  R Marcilly; E Ammenwerth; E Roehrer; S Pelayo; F Vasseur; M-C Beuscart-Zéphir
Journal:  Yearb Med Inform       Date:  2015-06-30

3.  An Algorithm Using Twelve Properties of Antibiotics to Find the Recommended Antibiotics, as in CPGs.

Authors:  R Tsopra; A Venot; C Duclos
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Helping GPs to extrapolate guideline recommendations to patients for whom there are no explicit recommendations, through the visualization of drug properties. The example of AntibioHelp® in bacterial diseases.

Authors:  Rosy Tsopra; Karima Sedki; Mélanie Courtine; Hector Falcoff; Antoine De Beco; Ronni Madar; Frédéric Mechaï; Jean-Baptiste Lamy
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

Review 5.  Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.

Authors:  Kristen Miller; Danielle Mosby; Muge Capan; Rebecca Kowalski; Raj Ratwani; Yaman Noaiseh; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

6.  Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis.

Authors:  Laura Schubel; Danielle L Mosby; Joseph Blumenthal; Muge Capan; Ryan Arnold; Rebecca Kowalski; F Jacob Seagull; Ken Catchpole; J Sanford Schwartz; Ella Franklin; Robin Littlejohn; Kristen E Miller
Journal:  Health Informatics J       Date:  2019-05-13       Impact factor: 2.681

Review 7.  The design of decisions: Matching clinical decision support recommendations to Nielsen's design heuristics.

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Journal:  Int J Med Inform       Date:  2018-05-21       Impact factor: 4.046

Review 8.  Quality of Decision Support in Computerized Provider Order Entry: Systematic Literature Review.

Authors:  Delphine Carli; Guillaume Fahrni; Pascal Bonnabry; Christian Lovis
Journal:  JMIR Med Inform       Date:  2018-01-24

9.  A usability study to improve a clinical decision support system for the prescription of antibiotic drugs.

Authors:  H Akhloufi; S J C Verhaegh; M W M Jaspers; D C Melles; H van der Sijs; A Verbon
Journal:  PLoS One       Date:  2019-09-25       Impact factor: 3.240

10.  What rationale do GPs use to choose a particular antibiotic for a specific clinical situation?

Authors:  Jegatha Krishnakumar; Rosy Tsopra
Journal:  BMC Fam Pract       Date:  2019-12-20       Impact factor: 2.497

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