scholarly journals Usability and User Experience Study with Children for a Mobile Health App (Preprint)

10.2196/30443 ◽  
2021 ◽  
Author(s):  
María Del Carmen Romero-Ternero ◽  
Daniel Cagigas-Muñiz ◽  
Rocío García-Robles ◽  
Andreea Madalina Oprescu
Keyword(s):  
User Experience ◽  
Mobile Health

Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire

2020 ◽  
Vol 104 ◽  
pp. 106169 ◽  
Author(s):  
Daiana Biduski ◽  
Ericles Andrei Bellei ◽  
João Pedro Mazuco Rodriguez ◽  
Luciana Aparecida Martinez Zaina ◽  
Ana Carolina Bertoletti De Marchi
Keyword(s):  
User Experience ◽  
Mobile Health ◽  
Mobile Health Application ◽  
Health Application

scholarly journals Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study

10.2196/29933 ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. e29933
Author(s):  
Onni E Santala ◽  
Jari Halonen ◽  
Susanna Martikainen ◽  
Helena Jäntti ◽  
Tuomas T Rissanen ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Mobile Phone ◽  
Monitoring System ◽  
Sensitivity And Specificity ◽  
User Experience ◽  
Mobile Health ◽  
Visual Interpretation ◽  
Arrhythmia Detection ◽  
Mobile Phone Application ◽  
Rhythm Monitoring

Background Atrial fibrillation (AF) is the most common tachyarrhythmia and associated with a risk of stroke. The detection and diagnosis of AF represent a major clinical challenge due to AF’s asymptomatic and intermittent nature. Novel consumer-grade mobile health (mHealth) products with automatic arrhythmia detection could be an option for long-term electrocardiogram (ECG)-based rhythm monitoring and AF detection. Objective We evaluated the feasibility and accuracy of a wearable automated mHealth arrhythmia monitoring system, including a consumer-grade, single-lead heart rate belt ECG device (heart belt), a mobile phone application, and a cloud service with an artificial intelligence (AI) arrhythmia detection algorithm for AF detection. The specific aim of this proof-of-concept study was to test the feasibility of the entire sequence of operations from ECG recording to AI arrhythmia analysis and ultimately to final AF detection. Methods Patients (n=159) with an AF (n=73) or sinus rhythm (n=86) were recruited from the emergency department. A single-lead heart belt ECG was recorded for 24 hours. Simultaneously registered 3-lead ECGs (Holter) served as the gold standard for the final rhythm diagnostics and as a reference device in a user experience survey with patients over 65 years of age (high-risk group). Results The heart belt provided a high-quality ECG recording for visual interpretation resulting in 100% accuracy, sensitivity, and specificity of AF detection. The accuracy of AF detection with the automatic AI arrhythmia detection from the heart belt ECG recording was also high (97.5%), and the sensitivity and specificity were 100% and 95.4%, respectively. The correlation between the automatic estimated AF burden and the true AF burden from Holter recording was >0.99 with a mean burden error of 0.05 (SD 0.26) hours. The heart belt demonstrated good user experience and did not significantly interfere with the patient’s daily activities. The patients preferred the heart belt over Holter ECG for rhythm monitoring (85/110, 77% heart belt vs 77/109, 71% Holter, P=.049). Conclusions A consumer-grade, single-lead ECG heart belt provided good-quality ECG for rhythm diagnosis. The mHealth arrhythmia monitoring system, consisting of heart-belt ECG, a mobile phone application, and an automated AF detection achieved AF detection with high accuracy, sensitivity, and specificity. In addition, the mHealth arrhythmia monitoring system showed good user experience. Trial Registration ClinicalTrials.gov NCT03507335; https://clinicaltrials.gov/ct2/show/NCT03507335

scholarly journals Mobile Health Adoption in Mental Health: User Experience of a Mobile Health App for Patients With an Eating Disorder

10.2196/12920 ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. e12920 ◽  
Author(s):  
Dimitra Anastasiadou ◽  
Frans Folkvord ◽  
Eduardo Serrano-Troncoso ◽  
Francisco Lupiañez-Villanueva
Keyword(s):  
Mental Health ◽  
Eating Disorder ◽  
User Experience ◽  
Mobile Health

Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach

2014 ◽  
Vol 20 (1) ◽  
pp. 74-84 ◽  
Author(s):  
Juan M García-Gómez ◽  
Isabel de la Torre-Díez ◽  
Javier Vicente ◽  
Montserrat Robles ◽  
Miguel López-Coronado ◽  
...  
Keyword(s):  
User Experience ◽  
Mobile Health ◽  
Broad Spectrum ◽  
Mobile Health Applications ◽  
Health Applications

scholarly journals Identifying Mobile Health Engagement Stages: Interviews and Observations for Developing Brief Message Content (Preprint)

2019 ◽  
Author(s):  
Kara Burns ◽  
Rebekah Nicholas ◽  
Amanda Beatson ◽  
Marianella Chamorro-Koc ◽  
Alethea Blackler ◽  
...  
Keyword(s):  
User Experience ◽  
Mobile Health ◽  
Health Care Professionals ◽  
Self Management ◽  
User Engagement ◽  
Message Content ◽  
Sample Group ◽  
Mhealth Technology ◽  
Group 2 ◽  
Person Centered Approach

BACKGROUND Interest in mobile health (mHealth) has increased recently, and research suggests that mHealth devices can enhance end-user engagement, especially when used in conjunction with brief message content. OBJECTIVE This research aims to explore the <i>stages of engagement</i> framework for mHealth devices and develop a method to generate brief message content to promote sustained user engagement. This study uses the framework by O’Brien and Toms as a point of departure, where engagement is defined as the uptake or the use of an mHealth device. The framework is a linear repeatable process, including <i>point of engagement</i>, <i>period of engagement</i>, <i>disengagement</i>, and <i>re-engagement</i>. Each stage is characterized by attributes related to a person’s technology experience. Although the literature has identified stages of engagement for health-related technology, few studies explore mHealth engagement. Furthermore, little research has determined a method for creating brief message content at each stage in this engagement journey. METHODS Interviews and observations from 19 participants who used mHealth technologies (apps, devices, or wellness websites) in a solo capacity were recruited for sample group 1. In sample group 2, interviews, and observations from 25 participants using mHealth technologies in a group capacity through the Global Corporate Challenge were used. These samples were investigated at 3 time points in both research contexts. The results underwent deductive-inductive thematic analysis for the engagement stages’ framework and attributes. RESULTS In addition to the 4 stages identified by O’Brien and Toms, 2 additional stages, self-management and limited engagement, were identified. <i>Self-management</i> captures where users had disengaged from their technology but were still engaged with their health activity. <i>Limited engagement</i> captures where group mHealth users had minimal interaction with their mHealth technology but continued to engage in a group fitness activity. The results revealed that mHealth engagement stages were nonlinear and embedded in a wider engagement context and that each stage was characterized by a combination of 49 attributes that could be organized into 8 themes. Themes documented the total user experience and included technology usability, technology features, technology aesthetics, use motivations, health awareness, goal setting, social support, and interruptions. Different themes were found to have more relevance at different engagement stages. Knowing themes and attributes at all engagement stages allows technology developers and health care professionals to generate relevant brief message content informed by a person-centered approach. CONCLUSIONS This research extends an existing engagement stages framework and identifies attributes and themes relevant to mHealth technology users’ total user experience and incorporates concepts derived from health, business studies, and information systems literature. In addition, we offer a practical 5-step process based on a person-centered approach to develop mHealth technology brief message content for sustained engagement.

scholarly journals Using a mobile health app to improve patients’ adherence to hypertension treatment: a non-randomized clinical trial

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11491
Author(s):  
Simiane Salete Volpi ◽  
Daiana Biduski ◽  
Ericles Andrei Bellei ◽  
Danieli Tefili ◽  
Lynn McCleary ◽  
...  
Keyword(s):  
Clinical Trial ◽  
User Experience ◽  
Mobile Health ◽  
Control Group ◽  
Hypertension Treatment ◽  
Men And Women ◽  
Access To Health ◽  
Mhealth Apps ◽  
Experimental Group

Poor adherence to hypertension treatment increases complications of the disease and is characterized by a lack of awareness and acceptance of ongoing treatment. Mobile health (mHealth) apps can optimize processes and facilitate access to health information by combining treatment methods with attractive solutions. In this study, we aimed at verifying the influence of using an mHealth app on patients’ adherence to hypertension treatment, also examining how user experience toward the app influenced the outcomes. A total of 49 participants completed the study, men and women, diagnosed with hypertension and ongoing medical treatment. For 12 weeks, the control group continued with conventional monitoring, while the experimental group used an mHealth app. From the experimental group, at baseline, 8% were non-adherent, 64% were partial adherents and 28% were adherent to the treatment. Baseline in the control group indicated 4.2% non-adherents, 58.3% partial adherents, and 37.5% adherents. After follow-up, the experimental group had an increase to 92% adherent, 8% partially adherent, and 0% non-adherent (P < 0.001). In the control group, adherence after follow-up remained virtually the same (P ≥ 0.999). Results of user experience were substantially positive and indicate that the participants in the experimental group had a satisfactory perception of the app. In conclusion, this study suggests that using an mHealth app can empower patients to manage their own health and increase adherence to hypertension treatment, especially when the app provides a positive user experience.

scholarly journals Initial Feasibility of the “Families Moving Forward Connect” Mobile Health Intervention for Caregivers of Children With Fetal Alcohol Spectrum Disorders: Mixed Method Evaluation Within a Systematic User-Centered Design Approach (Preprint)

2021 ◽  
Author(s):  
Christie Lynn McGee Petrenko ◽  
Carson Christine Kautz-Turnbull ◽  
Alicia Rose Roth ◽  
Jennifer Elizabeth Parr ◽  
Cristiano Tapparello ◽  
...  
Keyword(s):  
User Experience ◽  
Mobile Health ◽  
Fetal Alcohol Spectrum Disorders ◽  
Design Approach ◽  
Usage Pattern ◽  
User Centered Design ◽  
Fetal Alcohol ◽  
Learning Modules ◽  
Spectrum Disorders ◽  
Fetal Alcohol Spectrum

BACKGROUND Fetal alcohol spectrum disorders (FASD) are prevalent neurodevelopmental conditions. Significant barriers prevent family access to FASD-informed care. To improve accessibility, a scalable mobile health intervention for caregivers of children with FASD is under development. The app, called Families Moving Forward (FMF) Connect, is derived from the FMF Program, a parenting intervention tailored for FASD. FMF Connect has 5 components: Learning Modules, Family Forum, Library, Notebook, and Dashboard. OBJECTIVE This study assesses the feasibility of FMF Connect intervention prototypes. This includes examining app usage data and evaluating user experience to guide further refinements. METHODS Two rounds of beta-testing were conducted as part of a systematic approach to the development and evaluation of FMF Connect: (1) an iOS prototype was tested with 20 caregivers of children (aged 3-17 years) with FASD and 17 providers for the first round (April-May 2019) and (2) iOS and Android prototypes were tested with 25 caregivers and 1 provider for the second round (November-December 2019). After each 6-week trial, focus groups or individual interviews were completed. Usage analytics and thematic analysis were used to address feasibility objectives. RESULTS Across beta-test trials, 84% (38/45) of caregivers and 94% (17/18) of providers installed the FMF Connect app. Technological issues were tracked in real time with updates to address problems and expand app functionalities. On use days, caregivers averaged 20 minutes using the app; most of the time was spent watching videos in Learning Modules. Caregiver engagement with the Learning Modules varied across 5 usage pattern tiers. Overall, 67% (30/45) of caregivers posted at least once in the Family Forum. Interviews were completed by 26 caregivers and 16 providers. App evaluations generally did not differ according to usage pattern tier or demographic characteristics. Globally, app users were very positive, with 2.5 times more positive- than negative-coded segments across participants. Positive evaluations emphasized the benefits of accessible information and practical utility of the app. Informational and video content were described as especially valuable to caregivers. A number of affective and social benefits of the app were identified, aligning well with the caregivers’ stated motivators for app use. Negative evaluations of user experience generally emphasized technical and navigational aspects. Refinements were made on the basis of feedback during the first beta test, which were positively received during the second round. Participants offered many valuable recommendations for continuing app refinement, which is useful in improving user experience. CONCLUSIONS The results demonstrate that the FMF Connect intervention is acceptable and feasible for caregivers raising children with FASD. They will guide subsequent app refinement before large-scale randomized testing. This study used a systematic, user-centered design approach for app development and evaluation. The approach used here may illustrate a model that can broadly inform the development of mobile health and digital parenting interventions.

scholarly journals Evaluating User Experience of a Mobile Health Application ‘Halodoc’ using User Experience Questionnaire and Usability Testing

2021 ◽  
Vol 17 (1) ◽  
pp. 58-71
Author(s):  
Mochammad Aldi Kushendriawan ◽  
Harry Budi Santoso ◽  
Panca O. Hadi Putra ◽  
Martin Schrepp
Keyword(s):  
User Experience ◽  
Mobile Health ◽  
Mixed Method ◽  
Usability Testing ◽  
Potential Source ◽  
Mobile Health Application ◽  
Health Application ◽  
Google Play ◽  
Method Approach ◽  
Experience Questionnaire

This paper aims to evaluate the user experience of a mobile health application called Halodoc to keep the user using the application and keep from losing a potential source of revenue for Halodoc. Halodoc is one of the companies that use the internet to provide health services for its users. Halodoc has services such as features for consultation with doctors, online medicine purchases, and hospital appointments. Halodoc’s vision is to simplifying healthcare, but there are still many complaints and negative reviews about Halodoc on Google play store and Apple store about the usability. This paper uses a mixed-method approach using User Experience Questionnaire (UEQ) and Usability Testing. The results of the analysis were used as a reference for making the improvement designs. The results of the UEQ evaluation showed accordingly to the UEQ benchmark already a good level of UX. However, the usability test uncovered some concrete areas for improvement.

Sign in / Sign up

Export Citation Format

Share Document