Examining construct and predictive validity of the Health-IT Usability Evaluation Scale: confirmatory factor analysis and structural equation modeling results

Yen, Po Yin; Sousa, Karen H.; Bakken, Suzanne

doi:10.1136/amiajnl-2013-001811

Cited by 70 publications

(51 citation statements)

References 39 publications

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“…Usability is an important issue for telemedicine systems, as it is one of the most contributing factors to their success [23]. If usability is not considered, m-health could introduce unintended, negative consequences, such as increased medical errors and problems with communication between healthcare providers [37]. Systematically adopting usability engineering in the development of m-health systems can minimize the number of user errors that may lead to the wrong diagnosis and consequently harm patients [22,23].…”

Section: Usability Issuesmentioning

confidence: 99%

Usability factors of mobile health application for chronic diseases

Zahra

Hussain

Mohd

2016

AIP Conference Proceedings

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M-health has changed the conventional delivery system of health-care, permitting continuous, pervasive Health-care anywhere, anytime. Chronic disease apps are increasing, as many health workers, patients and clinicians already embracing smartphones in their comprehensive and diverse practices. There are lots of challenges and requirements that need to be addressed for mobile health applications to prevent or eliminate design problems and minimize potential threats for users, the proposed factors for chronic disease mobile applications can be used as a guide for app developers While, the usability testing, and evaluations of chronic disease apps have not yet touched the accuracy level of other web based applications. This study is being conducted to learn about challenges of m-health apps and to identify the factors that affect the usability of such applications.

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Section: Usability Issuesmentioning

confidence: 99%

Usability factors of mobile health application for chronic diseases

Zahra

Hussain

Mohd

2016

AIP Conference Proceedings

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“…The factorial validity and internal consistency of the Health-ITUES was demonstrated through an exploratory factor analysis [ 25 ]. The development of the Health-ITUES was further advanced through a confirmatory factor analysis and structural equation modeling to demonstrate its construct validity and predictive validity [ 26 ]. Early development and valuation of the Health-ITUES was conducted using a Web-based communication system that supported nurse staffing and scheduling.…”

Section: Introductionmentioning

confidence: 99%

Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study

Schnall¹,

Cho²,

Liu³

2018

JMIR Mhealth Uhealth

173

112

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BackgroundMobile technology has become a ubiquitous technology and can be particularly useful in the delivery of health interventions. This technology can allow us to deliver interventions to scale, cover broad geographic areas, and deliver technologies in highly tailored ways based on the preferences or characteristics of users. The broad use of mobile technologies supports the need for usability assessments of these tools. Although there have been a number of usability assessment instruments developed, none have been validated for use with mobile technologies.ObjectiveThe goal of this work was to validate the Health Information Technology Usability Evaluation Scale (Health-ITUES), a customizable usability assessment instrument in a sample of community-dwelling adults who were testing the use of a new mobile health (mHealth) technology.MethodsA sample of 92 community-dwelling adults living with HIV used a new mobile app for symptom self-management and completed the Health-ITUES to assess the usability of the app. They also completed the Post-Study System Usability Questionnaire (PSSUQ), a widely used and well-validated usability assessment tool. Correlations between these scales and each of the subscales were assessed.ResultsThe subscales of the Health-ITUES showed high internal consistency reliability (Cronbach alpha=.85-.92). Each of the Health-ITUES subscales and the overall scale was moderately to strongly correlated with the PSSUQ scales (r=.46-.70), demonstrating the criterion validity of the Health-ITUES.ConclusionsThe Health-ITUES has demonstrated reliability and validity for use in assessing the usability of mHealth technologies in community-dwelling adults living with a chronic illness.

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“…13 , 56 Feasibility, usability and satisfaction ratings will be measured from modified health-iTUES, which was originally validated by authors to measure technology usability, but has further been validated to be used as a customisable technology survey. 57 Means and SD will be calculated for all continuous variables and measures at each time point. Feasibility and acceptability analyses for aim 1 are largely descriptive, as we will be assessing participation rates and percentages of eligible men and which recruitment methods were the most effective.…”

Section: Discussionmentioning

confidence: 99%

Mobile technology intervention for weight loss in rural men: protocol for a pilot pragmatic randomised controlled trial

et al. 2020

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IntroductionMen who are overweight or obese in the rural Midwestern USA are an unrepresented, at-risk group exhibiting rising rates of cardiovascular disease, poor access to preventive care and poor lifestyle behaviours that contribute to sedentary lifestyle and unhealthy diet. Self-monitoring of eating and activity has demonstrated efficacy for weight loss. Use of mobile technologies for self-monitoring eating and activity may address rural men’s access disparities to preventive health resources and support weight loss. Our pilot trial will assess the feasibility and acceptability of two mobile applications for weight loss in rural men to inform a future, full-scale trial.Methods and analysisA 6-month randomised controlled trial with contextual evaluation will randomise 80 men using a 1:1 ratio to either a Mobile Technology Plus (MT+) intervention or a basic Mobile Technology (MT) intervention in rural, midlife men (aged 40–69 years). The MT+ intervention consists of a smartphone self-monitoring application enhanced with discussion group (Lose-It premium), short message service text-based support and Wi-Fi scale. The MT group will receive only a self-monitoring application (Lose-It basic). Feasibility and acceptability will be evaluated using number of men recruited and retained, and evaluative focus group feedback. We seek to determine point estimates and variability of outcome measures of weight loss (kg and % body weight) and improved dietary and physical activity behaviours (Behavioral Risk Factor Surveillance System (BRFSS) physical activity and fruit and vegetable consumption surveys, data from Lose-It! application (kcal/day, steps/day)). Community capacity will be assessed using standard best practice methods. Descriptive content analysis will evaluate intervention acceptability and contextual sensitivity.Ethics and disseminationThis protocol was approved by the University of Nebraska Medical Center Institutional Review Board (IRB# 594–17-EP). Dissemination of findings will occur through ClinicalTrials.gov and publish pilot data to inform the design of a larger clinical trial.Trial registration numberNCT03329079; preresults. Protocol V.10, study completion date 31 August 2020. Roles and responsibilities funder: NIH/NINR Health Disparities Section 1R15NR017522-01.

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Examining construct and predictive validity of the Health-IT Usability Evaluation Scale: confirmatory factor analysis and structural equation modeling results

Cited by 70 publications

References 39 publications

Usability factors of mobile health application for chronic diseases

Usability factors of mobile health application for chronic diseases

Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study

Mobile technology intervention for weight loss in rural men: protocol for a pilot pragmatic randomised controlled trial

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