Performance Metrics

Tullis, Tom; Albert, Bill

doi:10.1016/b978-0-12-373558-4.00004-2

Cited by 37 publications

(58 citation statements)

References 0 publications

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“…When an Internet-delivered PtDA is considered, a needs assessment is particularly complex, since it should also assess diverse individuals’ opinions about Internet-delivered clinical content, technology features, and implementation strategies [42,43,68]. Designers and developers of Internet-delivered PtDAs may seek to identify whether there are patterns in the preferred and effective features of such PtDAs, which then may be considered as standard attributes for acceptable quality.…”

Section: Discussionmentioning

confidence: 99%

Delivering patient decision aids on the Internet: definitions, theories, current evidence, and emerging research areas

Hoffman

Volk

Saarimaki

et al. 2013

BMC Med Inform Decis Mak

113

102

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BackgroundIn 2005, the International Patient Decision Aids Standards Collaboration identified twelve quality dimensions to guide assessment of patient decision aids. One dimension—the delivery of patient decision aids on the Internet—is relevant when the Internet is used to provide some or all components of a patient decision aid. Building on the original background chapter, this paper provides an updated definition for this dimension, outlines a theoretical rationale, describes current evidence, and discusses emerging research areas.MethodsAn international, multidisciplinary panel of authors examined the relevant theoretical literature and empirical evidence through 2012.ResultsThe updated definition distinguishes Internet-delivery of patient decision aids from online health information and clinical practice guidelines. Theories in cognitive psychology, decision psychology, communication, and education support the value of Internet features for providing interactive information and deliberative support. Dissemination and implementation theories support Internet-delivery for providing the right information (rapidly updated), to the right person (tailored), at the right time (the appropriate point in the decision making process). Additional efforts are needed to integrate the theoretical rationale and empirical evidence from health technology perspectives, such as consumer health informatics, user experience design, and human-computer interaction.Despite Internet usage ranging from 74% to 85% in developed countries and 80% of users searching for health information, it is unknown how many individuals specifically seek patient decision aids on the Internet. Among the 86 randomized controlled trials in the 2011 Cochrane Collaboration’s review of patient decision aids, only four studies focused on Internet-delivery. Given the limited number of published studies, this paper particularly focused on identifying gaps in the empirical evidence base and identifying emerging areas of research.ConclusionsAs of 2012, the updated theoretical rationale and emerging evidence suggest potential benefits to delivering patient decision aids on the Internet. However, additional research is needed to identify best practices and quality metrics for Internet-based development, evaluation, and dissemination, particularly in the areas of interactivity, multimedia components, socially-generated information, and implementation strategies.

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Section: Discussionmentioning

confidence: 99%

Delivering patient decision aids on the Internet: definitions, theories, current evidence, and emerging research areas

Hoffman

Volk

Saarimaki

et al. 2013

BMC Med Inform Decis Mak

113

102

View full text Add to dashboard Cite

show abstract

“…We collected positive/negative reactions to the features and functions, and difficulty/facility using the application or interface. Usability testers also completed the 10-item adaptation of Brooke’s widely-used and validated System Usability Scale [33, 34]. Usability feedback informed revisions to the Alpha prototype.…”

Section: Methodsmentioning

confidence: 99%

“…Further, we used Tullis and Stetson’s 10-item adaptation of Brooke’s System Usability Scale to rate the usability of the app [33, 34]. Participants were compensated $50 for completing both assessments.…”

Section: Methodsmentioning

confidence: 99%

Lessons learned in the development and evaluation of RxCoach™, an mHealth app to increase tobacco cessation medication adherence

Gordon

Armin

Cunningham

et al. 2017

Patient Education and Counseling

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Objective In this project we developed and evaluated a mobile health app to improve adherence to tobacco cessation medication. Methods The study was conducted in three phases: 1) Create app with input from our consultant, focus groups and user testing; 2) Test feasibility of the app; and 3) Develop and user-test the barcode scanner. Results Focus group feedback was instrumental in developing content and creating the user interface. User testing helped to identify problems and refine the app. The feasibility trial provided “real world” testing. We experienced challenges in recruitment due to the inclusion criteria. We had high attrition due to technical issues, medication side effects, enrollment procedures, and lack of personal contact. Among the five retained participants, use of the app was associated with good medication adherence and high consumer satisfaction. Conclusion The small sample size limits the generalizability of the findings and the conclusions that can be drawn from the study. However, the feasibility trial enabled the team to identify ways to improve the conduct of this and other mHealth studies. Practical Implications We should expand RxCoach to include all prescription and over-the-counter tobacco cessation medications, and re-test for feasibility using lessons learned to improve recruitment and retention.

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“…According to Tullis and Albert, average SUS scores under 60% are considered poor usability scores and scores above 80% are considered pretty good (30). Five of the participants scored the VE on the SUS at 80 or above (range = 80% – 92.5%), whereas two of the participants scored the VE under 60% (47.5% and 27.5%).…”

Section: Methodsmentioning

confidence: 99%

Creating a sustainable collaborative consumer health application for chronic disease self-management

Johnson

McIlwain

Gray

et al. 2017

Journal of Biomedical Informatics

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As the prevalence of chronic diseases increase, there is a need for consumer-centric health informatics applications that assist individuals with disease self-management skills. However, due to the cost of development of these applications, there is also a need to build a disease agnostic architecture so that they could be reused for any chronic disease. This paper describes the architecture of a collaborative virtual environment (VE) platform, LIVE©, that was developed to teach self-management skills and provide social support to those individuals with type 2 diabetes. However, a backend database allows for the application to be easily reused for any chronic disease. We tested its usability in the context of a larger randomized controlled trial of its efficacy. The usability was scored as ‘good’ by half of the participants in the evaluation. Common errors in the testing and solutions to address initial usability issues are discussed. Overall, LIVE© represents a usable and generalizable platform that will be adapted to other chronic diseases and health needs in future research and applications.

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Performance Metrics

Cited by 37 publications

References 0 publications

Delivering patient decision aids on the Internet: definitions, theories, current evidence, and emerging research areas

Delivering patient decision aids on the Internet: definitions, theories, current evidence, and emerging research areas

Lessons learned in the development and evaluation of RxCoach™, an mHealth app to increase tobacco cessation medication adherence

Creating a sustainable collaborative consumer health application for chronic disease self-management

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