Development of a web-based insulin decision aid for the elderly: usability barriers and guidelines

In recent years, researchers have attempted to shift patient decision aids (PDAs) from paper-based to web-based to increase its accessibility. Insulin decision aids help diabetes patients, most of whom are elderly to make an informed decision to start insulin. However, the lack of usability guidelines applicable for such target group causes developers to struggle to answer the challenging question ‘How can such web service be made usable, and, ultimately, acceptable and accessible for elderly patients?’. Hence, the purpose of this study is to identify the common usability requirements that may facilitate good practices to empower elderly diabetes patients in utilizing a web-based insulin decision aid for their benefit. We set out an approach to use prototyping and retrospective think-aloud techniques to explore web usability barriers that elderly patients may encounter when using an insulin decision aid web site and use the feedback for improving the prototype. Usability requirements were captured iteratively through scoping, brainstorming, prototype, testing and evaluating. The study suggests that the insights from experts and users are equally important to assure the validity of the identified usability guidelines; they reflect the accessibility needs of the aging community while complementing the key requirements of an insulin decision aid. The study contributes to recommend web usability guidelines backed by a series of expert and user evaluations which could be a proactive resource to improve usability, acceptability and accessibility of online insulin decision aids for elderly with diabetes.

[1]  Nur Azmiah Zainuddin,et al.  Psychological Insulin Resistance (PIR) Among Type 2 Diabetes Patients at Public Health Clinics in Federal Territory of Malaysia , 2011 .

[2]  R. Morrell Designing Web-Based Health Information for Older Adults: Visual Considerations and Design Directives , 2001 .

[3]  Richard N. Taylor Software architecture: many faces, many places, yet a central discipline , 2009, ESEC/FSE '09.

[4]  J. Agyeman-Duah,et al.  Understanding the barriers to setting up a healthcare quality improvement process in resource-limited settings: a situational analysis at the Medical Department of Kamuzu Central Hospital in Lilongwe, Malawi , 2014, BMC Health Services Research.

[5]  Peter Gregor,et al.  Designing for dynamic diversity: interfaces for older people , 2002, Assets '02.

[6]  Y. Lee,et al.  Health innovations in patient decision support: Bridging the gaps and challenges. , 2013, The Australasian medical journal.

[7]  A. T. Bon,et al.  Factors Contributing To Proficiency In English As A Second Language Among Chinese Students In Johor Bahru. , 2011 .

[8]  M. Korytkowski,et al.  When oral agents fail: practical barriers to starting insulin , 2002, International Journal of Obesity.

[9]  Scott Henninger,et al.  A methodology and tools for applying context-specific usability guidelines to interface design , 2000, Interact. Comput..

[10]  Y. Lee,et al.  A qualitative study on healthcare professionals’ perceived barriers to insulin initiation in a multi-ethnic population , 2012, BMC Family Practice.

[11]  A. Strauss,et al.  Grounded Theory in Practice , 1997 .

[12]  Shirley Ann Becker,et al.  A study of web usability for older adults seeking online health resources , 2004, TCHI.

[13]  Y. Lee,et al.  Mismatch between health‐care professionals' and patients' views on a diabetes patient decision aid: a qualitative study , 2016, Health expectations : an international journal of public participation in health care and health policy.

[14]  J. Gabrieli,et al.  Insights into the ageing mind: a view from cognitive neuroscience , 2004, Nature Reviews Neuroscience.

[15]  Lise Abrams,et al.  The relevance of situation awareness in older adults’ cognitive functioning: a review , 2007, European Review of Aging and Physical Activity.

[16]  Trudy van der Weijden,et al.  Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi) , 2009, PloS one.

[17]  Janet L. Kolodner,et al.  A Case-Based Design Aid for Architecture , 1992 .

[18]  Robyn Henderson,et al.  Doing qualitative research: a practical handbook , 2011 .

[19]  Mohd. Faisal Hanapiah ENGLISH LANGUAGE AND THE LANGUAGE OF DEVELOPMENT: A MALAYSIA PERSPECTIVE , 2004 .

[20]  Christian Peter,et al.  A discussion of using mental models in assistive environments , 2012, PETRA '12.

[21]  Glyn Elwyn,et al.  Are Patient Decision Aids the Best Way to Improve Clinical Decision Making? Report of the IPDAS Symposium , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.

[22]  Richard N. Taylor,et al.  Software architecture: foundations, theory, and practice , 2009, 2010 ACM/IEEE 32nd International Conference on Software Engineering.

[23]  C. Ng,et al.  A ‘combined framework’ approach to developing a patient decision aid: the PANDAs model , 2014, BMC Health Services Research.

[24]  Deb Feldman-Stewart,et al.  Providing information about options in patient decision aids , 2013, BMC Medical Informatics and Decision Making.

[25]  Panayiotis Koutsabasis,et al.  Heuristic evaluation of e‐learning courses: a comparative analysis of two e‐learning heuristic sets , 2011 .

[26]  Gary W. Strong,et al.  New directions in human-computer interaction: education, research, and practice , 1995, INTR.

[27]  M. Isa,et al.  Prevalence of diabetes in the Malaysian National Health Morbidity Survey III 2006. , 2010, The Medical journal of Malaysia.

[28]  Panayiotis Zaphiris,et al.  Research-derived web design guidelines for older people , 2005, Assets '05.

[29]  Stephen A. Brewster,et al.  Design principles to support older adults , 2004, Universal Access in the Information Society.

[30]  P. Palumbo,et al.  A case for introducing insulin early in the treatment of type 2 diabetes mellitus , 2006 .

[31]  Eleni Stroulia,et al.  Askjef: Integration of Case-Based and Multimedia Technologies for Interface Design Support , 1992 .

[32]  Gary M. Olson,et al.  Can principles of cognition lower the barriers to programming? in empirical studies of programmers: , 1987 .