Usability in the real world: assessing medical information technologies in patients' homes

OBJECTIVE This paper presents an approach to usability evaluation of computer-based health care systems designed for patient use in their homes. Although such devices are becoming more prevalent, there is very little known about their usability. DESIGN The theoretical foundations for the methods are discussed. The approach incorporates a cognitive walkthrough usability evaluation and new methods for usability testing that can be conducted in patient's homes. The method was applied to the IDEATel intervention, a multi-institution randomized controlled trial of the feasibility, acceptability, and clinical utility of a home-based telemedicine system for diabetic Medicare population. The usability study was designed to assess barriers to optimal use of the system. The focus was both on dimensions of the interface and on dimensions of patient skills and competency. The usability field research involved testing 25 patients in their homes using the system. The analysis included a range of video-analytic methods of varying levels of granularity. RESULTS The usability evaluation revealed aspects of the interface that were sub-optimal and impeded the performance of certain tasks. It also found a range of patient-related factors such as numeracy and psychomotor skills that constituted barriers to productive use. CONCLUSIONS A multifaceted usability approach provided important insight regarding use of technology by an elderly chronic-care patient population and more generally, for understanding how home health initiatives can more effectively use such technology.

[1]  Delivery Systems,et al.  Fostering Rapid Advances in Health Care: Learning from System Demonstrations , 2002 .

[2]  John J. Marciniak,et al.  Encyclopedia of Software Engineering , 1994, Encyclopedia of Software Engineering.

[3]  V. Patel,et al.  Studying the human-computer-terminology interface. , 2001, Journal of the American Medical Informatics Association : JAMIA.

[4]  D. McNeill Hand and Mind: What Gestures Reveal about Thought , 1992 .

[5]  Vimla L. Patel,et al.  Review: Medical Informatics and the Science of Cognition , 1998, J. Am. Medical Informatics Assoc..

[6]  C. Creider Hand and Mind: What Gestures Reveal about Thought , 1994 .

[7]  Keith Duncan,et al.  Cognitive Engineering , 2017, Encyclopedia of GIS.

[8]  Donald A. Norman,et al.  User Centered System Design , 1986 .

[9]  E. Wagner,et al.  Care for chronic diseases , 2002, BMJ : British Medical Journal.

[10]  Reed Stevens,et al.  Disciplined perception: Learning to see in technoscience: Studies of teaching and learning , 1998 .

[11]  Vimla L. Patel,et al.  Usability testing in medical informatics: cognitive approaches to evaluation of information systems and user interfaces , 1997, AMIA.

[12]  George Hripcsak,et al.  Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design. , 2002, Journal of the American Medical Informatics Association : JAMIA.

[13]  Cathleen Wharton,et al.  Cognitive Walkthroughs: A Method for Theory-Based Evaluation of User Interfaces , 1992, Int. J. Man Mach. Stud..

[14]  S. Goldin-Meadow,et al.  The role of gesture in communication and thinking , 1999, Trends in Cognitive Sciences.

[15]  T. Bodenheimer,et al.  Patient self-management of chronic disease in primary care. , 2002, JAMA.

[16]  Debora Shaw,et al.  Handbook of usability testing: How to plan, design, and conduct effective tests , 1996 .

[17]  George Hripcsak,et al.  Application of Information Technology: Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Technical Implementation , 2002, J. Am. Medical Informatics Assoc..

[18]  Austin Henderson,et al.  Interaction Analysis: Foundations and Practice , 1995 .

[19]  Magdalene Lampert,et al.  Talking Mathematics in School: Studies of Teaching and Learning , 1998 .

[20]  D. Hawthorn,et al.  Possible implications of aging for interface designers , 2000, Interact. Comput..

[21]  A. D. Fisk,et al.  Age-Related Differences in the Maintenance and Modification of Automatic Processes: Arithmetic Stroop Interference , 1991, Human factors.

[22]  Wendy E. Mackay,et al.  Ethics, lies and videotape… , 1995, CHI '95.

[23]  Donald A. Norman,et al.  Cognitive Engineering In Norman , 1986 .

[24]  K. J. Vicente,et al.  Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .

[25]  Vimla L. Patel,et al.  A framework for analyzing the cognitive complexity of computer-assisted clinical ordering , 2003, J. Biomed. Informatics.

[26]  E. Patterson,et al.  Cognitive Engineering : Issues in User-Centered System Design , 2000 .

[27]  A. Kendon Do Gestures Communicate? A Review , 1994 .

[28]  R. Bashshur,et al.  Telemedicine: a new health care delivery system. , 2000, Annual review of public health.

[29]  V. Patel,et al.  Assessment of a computerized patient record system: a cognitive approach to evaluating medical technology. , 1996, M.D. computing : computers in medical practice.