Background: As smartphone ownership has become common in all demographic groups in the United States, smartphone applications (apps) for smoking cessation have grown in popularity due to their potential for supporting the diverse populations in the United States who are attempting to quit smoking. Usability is commonly assessed in mobile health (mHealth) technology as an important aspect of the user experience that could influence users' adherence to a health app and health outcomes. However, the variation of perceived usability across demographic groups, and the implications of that variation for app success, have not been well studied.
Objective: The aims of this study were to characterize variation in the perceived usability of the National Cancer Institute Smokefree.gov Initiative smoking cessation app quitSTART across demographic groups, and to assess the correlation between perceived usability and short-term smoking cessation.
Methods: We conducted a secondary analysis of data from a randomized controlled trial conducted from 2020 to 2021, which used a 16-item modified version of the mHealth App Usability Questionnaire (MAUQ) to quantify perceived usability four weeks after app download among 131 smokers attempting to quit. Responses were coded on a 5-point Likert-type scale ranging from strongly disagree (1) to strongly agree (5) and total perceived usability was calculated as the sum of all 16 items (range: 16-80). Associations between participant demographic characteristics (gender, race, education level, age, etc.) and total usability were determined using an ANCOVA model. A multivariable logistic regression model was used to assess the association between usability and smoking cessation, also assessed 4 weeks after app download.
Results: The ANCOVA model demonstrated that race was associated with perceived usability, with participants from a racial minority group reporting higher total usability than White participants (p < 0.001). White participants had an adjusted mean total usability of 55.8 (95 % CI: 52.8, 58.8) while racial minority group participants had an adjusted mean total usability of 66.5 (95 % CI: 61.2, 71.6). Other participant demographic characteristics, such as gender and sexual minority status, were not associated with mean total usability. Total usability was positively associated with smoking cessation (OR: 1.04, 95 % CI: 1.00, 1.08, p = 0.031).
Conclusions: Total perceived usability of quitSTART was higher among adults from a racial minority group compared to White adults, and perceived usability was positively associated with cessation success. These findings emphasize the importance of ensuring high usability of mHealth smoking cessation apps for diverse populations.
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http://dx.doi.org/10.1016/j.invent.2024.100714 | DOI Listing |
Wilderness Environ Med
January 2025
Department of Emergency Medicine, Denver Health Medical Center, Denver, CO.
Introduction: As humanity progresses further into space, astronauts must be increasingly independent from mission control, especially in high-consequence medical scenarios. The high-utility and low-mass nature of point-of-care ultrasound (POCUS) makes this imaging modality ideal for spaceflight mission deployment. However, POCUS operator skill degrades over time, presenting an operational barrier to continuous, effective use.
View Article and Find Full Text PDFPsicol Reflex Crit
January 2025
Departamento de Psicología. Facultad de Educación, Ciencias Sociales y Humanidades, Universidad de La Frontera, Temuco, Chile.
Background: Social support is relevant to studying well-being, quality of life, and health during aging, particularly in people over 50. Therefore, brief instruments that allow its measurement within the clinical evaluation and research processes are necessary. The ENRICH Social Support Scale (ESSI) is a brief and easy-to-use instrument that measures the perception of social support; however, its psychometric properties in people over 50 in the Chilean context have yet to be tested.
View Article and Find Full Text PDFAm J Manag Care
December 2024
Division of Health Services Management and Policy, College of Public Health, The Ohio State University, 1841 Neil Ave, Cunz Hall 208, Columbus, OH 43210-1132. Email:
Objectives: The question of what providers one has access to under their insurance coverage is crucial for patients in managed care. This study sought to examine information displayed in online provider directories and whether this information matched consumer preferences.
Study Design: A national survey (N = 4007) paired with an analysis of online provider network directories.
JMIR Cardio
December 2024
Westmead Applied Research Centre, University of Sydney, Sydney, Australia.
Background: Computerized clinical decision support systems (CDSS) are increasingly being used in clinical practice to improve health care delivery. Mobile apps are a type of CDSS that are currently being increasingly used, particularly in lifestyle interventions and disease prevention. However, the use of such apps in acute patient care, diagnosis, and management has not been studied to a great extent.
View Article and Find Full Text PDFFront Psychol
December 2024
Management College, Beijing Union University, Beijing, China.
Introduction: Blended learning combines the strengths of online and offline teaching and has become a popular approach in higher education. Despite its advantages, maintaining and enhancing students' continuous learning motivation in this mode remains a significant challenge.
Methods: This study utilizes questionnaire surveys and structural equation modeling to examine the role of AI performance assessment in influencing students' continuous learning motivation in a blended learning environment.
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