Literature DB >> 24333875

From expert-derived user needs to user-perceived ease of use and usefulness: a two-phase mixed-methods evaluation framework.

Mary Regina Boland1, Alexander Rusanov2, Yat So1, Carlos Lopez-Jimenez3, Linda Busacca4, Richard C Steinman5, Suzanne Bakken6, J Thomas Bigger5, Chunhua Weng7.   

Abstract

Underspecified user needs and frequent lack of a gold standard reference are typical barriers to technology evaluation. To address this problem, this paper presents a two-phase evaluation framework involving usability experts (phase 1) and end-users (phase 2). In phase 1, a cross-system functionality alignment between expert-derived user needs and system functions was performed to inform the choice of "the best available" comparison system to enable a cognitive walkthrough in phase 1 and a comparative effectiveness evaluation in phase 2. During phase 2, five quantitative and qualitative evaluation methods are mixed to assess usability: time-motion analysis, software log, questionnaires - System Usability Scale and the Unified Theory of Acceptance of Use of Technology, think-aloud protocols, and unstructured interviews. Each method contributes data for a unique measure (e.g., time motion analysis contributes task-completion-time; software log contributes action transition frequency). The measures are triangulated to yield complementary insights regarding user-perceived ease-of-use, functionality integration, anxiety during use, and workflow impact. To illustrate its use, we applied this framework in a formative evaluation of a software called Integrated Model for Patient Care and Clinical Trials (IMPACT). We conclude that this mixed-methods evaluation framework enables an integrated assessment of user needs satisfaction and user-perceived usefulness and usability of a novel design. This evaluation framework effectively bridges the gap between co-evolving user needs and technology designs during iterative prototyping and is particularly useful when it is difficult for users to articulate their needs for technology support due to the lack of a baseline.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trials; Evaluation studies; Medical informatics; Needs assessment; Workflow

Mesh:

Year:  2013        PMID: 24333875      PMCID: PMC4055529          DOI: 10.1016/j.jbi.2013.12.004

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  37 in total

1.  Theoretical, empirical and practical approaches to resolving the unmet information needs of clinical information system users.

Authors:  James J Cimino; Jianhua Li; Suzanne Bakken; Vimla L Patel
Journal:  Proc AMIA Symp       Date:  2002

2.  Integrating quantitative and qualitative methods in patient care information system evaluation: guidance for the organizational decision maker.

Authors:  A P Stoop; M Berg
Journal:  Methods Inf Med       Date:  2003       Impact factor: 2.176

Review 3.  Designing a mixed methods study in primary care.

Authors:  John W Creswell; Michael D Fetters; Nataliya V Ivankova
Journal:  Ann Fam Med       Date:  2004 Jan-Feb       Impact factor: 5.166

4.  Approaches to qualitative-quantitative methodological triangulation.

Authors:  J M Morse
Journal:  Nurs Res       Date:  1991 Mar-Apr       Impact factor: 2.381

5.  Toward integrating qualitative and quantitative methods: an introduction.

Authors:  A Steckler; K R McLeroy; R M Goodman; S T Bird; L McCormick
Journal:  Health Educ Q       Date:  1992

Review 6.  Evaluating informatics applications--clinical decision support systems literature review.

Authors:  B Kaplan
Journal:  Int J Med Inform       Date:  2001-11       Impact factor: 4.046

7.  The think aloud method: a guide to user interface design.

Authors:  Monique W M Jaspers; Thiemo Steen; Cor van den Bos; Maud Geenen
Journal:  Int J Med Inform       Date:  2004-11       Impact factor: 4.046

8.  An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems.

Authors:  Chunhua Weng; Yu Li; Solomon Berhe; Mary Regina Boland; Junfeng Gao; Gregory W Hruby; Richard C Steinman; Carlos Lopez-Jimenez; Linda Busacca; George Hripcsak; Suzanne Bakken; J Thomas Bigger
Journal:  J Biomed Inform       Date:  2013-05-16       Impact factor: 6.317

9.  Cognitive and usability engineering methods for the evaluation of clinical information systems.

Authors:  Andre W Kushniruk; Vimla L Patel
Journal:  J Biomed Inform       Date:  2004-02       Impact factor: 6.317

Review 10.  Review of health information technology usability study methodologies.

Authors:  Po-Yin Yen; Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2011-08-09       Impact factor: 4.497

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  8 in total

1.  Mixed-Methods Pilot Study to Assess Perceptions of Antimicrobial Stewardship in Nursing Homes.

Authors:  Rebecca R Carter; Michelle M Montpetite; Robin L P Jump
Journal:  J Am Geriatr Soc       Date:  2017-02-02       Impact factor: 5.562

2.  Bringing clinical pharmacogenomics information to pharmacists: A qualitative study of information needs and resource requirements.

Authors:  Katrina M Romagnoli; Richard D Boyce; Philip E Empey; Solomon Adams; Harry Hochheiser
Journal:  Int J Med Inform       Date:  2015-11-30       Impact factor: 4.046

3.  The iBRA-2 (immediate breast reconstruction and adjuvant therapy audit) study: protocol for a prospective national multicentre cohort study to evaluate the impact of immediate breast reconstruction on the delivery of adjuvant therapy.

Authors:  Rajiv Dave; Rachel O'Connell; Tim Rattay; Zoe Tolkien; Nicola Barnes; Joanna Skillman; Paula Williamson; Elizabeth Conroy; Matthew Gardiner; Adrian Harnett; Ciara O'Brien; Jane Blazeby; Shelley Potter; Chris Holcombe
Journal:  BMJ Open       Date:  2016-10-07       Impact factor: 2.692

4.  An Iterative, Mixed Usability Approach Applied to the Telekit System from the Danish TeleCare North Trial.

Authors:  Pernille Heyckendorff Lilholt; Clara Schaarup; Ole Kristian Hejlesen
Journal:  Int J Telemed Appl       Date:  2016-11-16

5.  Biofeedback in Partial Weight Bearing: Usability of Two Different Devices from a Patient's and Physical Therapist's Perspective.

Authors:  Remko van Lieshout; Martijn F Pisters; Benedicte Vanwanseele; Rob A de Bie; Eveline J Wouters; Mirelle J Stukstette
Journal:  PLoS One       Date:  2016-10-31       Impact factor: 3.240

6.  Development of an Evaluation Framework for Health Information Systems (DIPSA).

Authors:  Antonis Stylianides; John Mantas; Zoe Roupa; Edna N Yamasaki
Journal:  Acta Inform Med       Date:  2018-12

7.  A combination of two methods for evaluating the usability of a hospital information system.

Authors:  Reza Khajouei; Fatemeh Farahani
Journal:  BMC Med Inform Decis Mak       Date:  2020-05-04       Impact factor: 2.796

8.  Using software to elicit user needs for clinical research visit scheduling.

Authors:  Chunhua Weng; Mary Regina Boland; Yat So; Alexander Rusanov; Carlos Lopez; Richard Steinman; Linda Busacca; Suzanne Bakken; J Thomas Bigger
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2014-04-07
  8 in total

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