User experience and user acceptance of a speech recognition-based diagnostic management application: mobile health at point-of-care (Preprint)

2021 ◽  
Author(s):  
Fabian Kerwagen ◽  
Konrad F. Fuchs ◽  
Melanie Ullrich ◽  
Andres Schulze ◽  
Samantha Straka ◽  
...  
Keyword(s):  
Speech Recognition ◽  
User Experience ◽  
Mobile Health ◽  
Patient Management ◽  
User Acceptance ◽  
Mean Difference ◽  
University Hospital ◽  
Short Version ◽  
Deutschland Gmbh ◽  
Hedonic Quality

BACKGROUND In-patient management like ordering medical tests is time-consuming and burdens physicians on the ward with non-clinical tasks. We developed and implemented a smartphone-based mobile application (MA) that uses speech recognition for the ordering of radiological examinations. While we could show that the MA supported process was faster, its acceptance and usability remaines unknown. OBJECTIVE We examined the user experience (1), user acceptance (2) and the determinants of user acceptance (3) of a new mobile, speech recognition guided in-patient management MA. METHODS A comprehensive questionnaire based on the short version of the User Experience Questionnaire (UEQ-S) and the Unified Theory of Acceptance and use of Technology (UTAUT) was given to all physicians at the Department of Trauma and Plastic Surgery at the University Hospital of Wuerzburg , Germany. The user experience with the new MA was compared to the usual desktop application (DA) workflow embedded in the clinical information system (i.s.h.med, Cerner Health Services Deutschland GmbH, Berlin, Germany). The domains of user experience consisted of overall attractiveness, pragmatic quality, and hedonic quality. For the determinants of the acceptance model, we employed hierarchical regression analysis. RESULTS Twenty-one out of 30 physicians (mean age 34±8 years, 62% male) completed the questionnaire (response rate 70%). Compared to the conventional DA workflow, the new MA showed superior overall attractiveness (mean difference +2.15±1.33), pragmatic quality (mean difference +1.90±1.16), hedonic quality (mean difference 2.41±1.62; all p<.001). The user acceptance measured by the UTAUT (mean 4.49, SD 0.41; min. 1, max. 5) was also high. Performance expectancy (beta=0.57, p=.02) and effort expectancy (beta=0.36, p=.04) were identified as predictors of acceptance explaining 65.4% of its variance. CONCLUSIONS There is huge potential in reducing the physicians’ burden of administrative tasks by adopting innovative DHI like our speech recognition guided MA in daily ward routine. With this study, we could illustrate that physicians are more than willing to implement such innovative mobile health solutions.

The design of in-car speech recognition interface for usability and user acceptance

2020 ◽  
pp. 313-320 ◽  
Author(s):  
Robert Graham ◽  
Lisa Aldridge ◽  
Chris Carter ◽  
Terry C. Lansdown
Keyword(s):  
Speech Recognition ◽  
User Acceptance

scholarly journals A Mobile Medical Knowledge Dissemination Platform (HeadToToe): Mixed Methods Study

10.2196/17729 ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e17729 ◽  
Author(s):  
Ido Zamberg ◽  
Olivier Windisch ◽  
Thomas Agoritsas ◽  
Mathieu Nendaz ◽  
Georges Savoldelli ◽  
...  
Keyword(s):  
Medical Students ◽  
User Experience ◽  
Clinical Skills ◽  
Medical Knowledge ◽  
Postgraduate Education ◽  
Third Party ◽  
University Hospital ◽  
Knowledge Dissemination ◽  
Easy Access ◽  
The University

Background Finding readily accessible, high-quality medical references can be a challenging task. HeadToToe is a mobile platform designed to allow easy and quick access to sound, up-to-date, and validated medical knowledge and guidance. It provides easy access to essential clinical medical content in the form of documents, videos, clinical scores, and other formats for the day-to-day access and use by medical students and physicians during their pre- and postgraduate education. Objective The aim of this paper is to describe the architecture, user interface, and potential strengths and limitations of an innovative knowledge dissemination platform developed at the University of Geneva, Switzerland. We also report preliminary results from a user-experience survey and usage statistics over a selected period. Methods The dissemination platform consists of a smartphone app. Through an administration interface, content is managed by senior university and hospital staff. The app includes the following sections: (1) main section of medical guidance, organized by clinical field; (2) checklists for history-taking and clinical examination, organized by body systems; (3) laboratory section with frequently used lab values; and (4) favorites section. Each content item is programmed to be available for a given duration as defined by the content’s author. Automatic notifications signal the author when the content is about to expire, hence, promoting its timely updating and reducing the risk of using obsolete content. In the background, a third-party statistical collecting tool records anonymous utilization statistics. Results We launched the final version of the platform in March 2019, both at the Faculty of Medicine at the University of Geneva and at the University Hospital of Geneva in Switzerland. A total of 622 students at the university and 613 health professionals at the hospital downloaded the app. Two-thirds of users at both institutions had an iOS device. During the practical examination period (ie, May 2019) there was a significant increase in the number of active users (P=.003), user activity (P<.001), and daily usage time (P<.001) among medical students. In addition, there were 1086 clinical skills video views during this period compared to a total of 484 in the preceding months (ie, a 108% increase). On a 10-point Likert scale, students and physicians rated the app with mean scores of 8.2 (SD 1.9) for user experience, 8.1 (SD 2.0) for usefulness, and 8.5 (SD 1.8) for relevance of content. In parallel, postgraduate trainees viewed more than 6000 documents during the first 3 months after the implementation in the Division of Neurology at our institution. Conclusions HeadToToe is an educator-driven, mobile dissemination platform, which provides rapid and user-friendly access to up-to-date medical content and guidance. The platform was given high ratings for user experience, usefulness, and content quality and was used more often during the exam period. This suggests that the platform could be used as tool for exam preparation.

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 LO76: Effect of task interruptions training on the quality of simulated ALS

CJEM ◽  
2020 ◽  
Vol 22 (S1) ◽  
pp. S35-S35
Author(s):  
J. Truchot ◽  
D. Michelet ◽  
D. Drummond ◽  
Y. Freund ◽  
P. Plaisance
Keyword(s):  
Life Support ◽  
Controlled Trial ◽  
Training Session ◽  
Flow Time ◽  
Mean Difference ◽  
University Hospital ◽  
Negative Consequences ◽  
Emergency Team ◽  
Phone Calls

Introduction: Task interruptions are reportedly frequent disturbances for emergency physicians performing advanced life support (ALS). The aim of this study was to evaluate the benefit of adding task interruptions in ALS simulated training session. Methods: We conducted a multi centered randomized controlled trial in four emergency departments of a university hospital in Paris, France. Each emergency team included one resident, one nurse and one emergency physician. The teams were randomized for the nature of their training session: control (without interruption) or realistic (with interruptions). The interruption consisted of an interfering family member speaking a foreign language, and of repetitive phone calls during ALS. After the first training session, teams were evaluated on a second realistic session with task interruptions. The primary outcome was non-technical skills assessed with the TEAM score during this evaluation session. We also measured the no flow time, and the Cardiff score, which reflects the quality of ALS: including chest compression depth and rate, no flow time. Results: On a total of 23 included teams, 12 had a control training session and 11 with task interruptions. Baseline characteristics and TEAM score were similar between the two groups (Mean difference: 3,3 [-2,2; 8,9]; p = 0,26). During the evaluation session, the TEAM score was lower for “realistic” teams (mean difference -8 [95% confidence interval -13; -3]). We also report a higher no flow time and similar overall Cardiff score. Conclusion: In this simulated ALS study, the presence of disturbances during simulation seemed to worsen the quality of training. This study highlights the negative consequences of task interruptions in emergency medicine.

scholarly journals ACCEPTANCE AND USER EXPERIENCE OF WEARABLE ASSISTIVE DEVICES FOR INDUSTRIAL PURPOSES

2020 ◽  
Vol 1 ◽  
pp. 1515-1520
Author(s):  
E. Papp ◽  
C. Wölfel ◽  
J. Krzywinski
Keyword(s):  
Technology Acceptance ◽  
User Experience ◽  
User Acceptance ◽  
Assistive Devices ◽  
Acceptance Criteria ◽  
Development Processes

AbstractThis paper presents experience-oriented aspects of the development of wearable assistive devices (exoskeletons) for industrial purposes, an area which has only begun to be explored. Our research aims to examine user acceptance criteria for assistive devices and understand the meaning of interaction with wearable assistive devices for the users. The resulting models deliver new insights about the importance of user experience for technology acceptance and should be generally considered in development processes of wearable assistive devices.

Addition of infliximab compared with addition of sulfasalazine and hydroxychloroquine to methotrexate in early rheumatoid arthritis: 2-year quality-of-life results of the randomised, controlled, SWEFOT trial

2012 ◽  
Vol 72 (12) ◽  
pp. 1927-1933 ◽  
Author(s):  
Johan A Karlsson ◽  
Martin Neovius ◽  
Jan-Åke Nilsson ◽  
Ingemar F Petersson ◽  
Johan Bratt ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Linear Interpolation ◽  
Mean Difference ◽  
University Hospital ◽  
Sensitivity Analyses ◽  
Quality Adjusted Life Years ◽  
Life Years ◽  
Refractory Rheumatoid Arthritis ◽  
Randomised Controlled

ObjectiveTo compare EuroQol 5-Dimensions (EQ-5D) utility and quality-adjusted life-years (QALYs) in patients with early, methotrexate (MTX) refractory rheumatoid arthritis (RA), randomised to addition of infliximab (IFX) or sulfasalazine and hydroxychloroquine (SSZ+HCQ).MethodsRA-patients with symptoms <1 year were enrolled between 2002 and 2005 at 15 Swedish centres. After 3–4 months of MTX monotherapy, patients with a remaining DAS28>3.2 were randomised to addition of IFX or SSZ+HCQ and followed for 21 months. EQ-5D profiles were collected every 3 months. Between-group comparisons of utility change and accumulated QALYs were performed, using last observation carried forward (LOCF) following protocol breach. Missing data were imputed by linear interpolation or LOCF. Sensitivity analyses applying baseline observation carried forward (BOCF) or restricted to completers were conducted.ResultsOf 487 patients initially enrolled, 128 and 130 were randomised to IFX or SSZ+HCQ, respectively. Mean utility in the IFX and SSZ+HCQ groups increased from 0.52 (SD 0.27) and 0.55 (SD 0.27) at randomisation to 0.66 (SD 0.25) and 0.63 (SD 0.27) at 21 months (adjusted mean difference favouring IFX 0.04; 95% CI −0.01, 0.09; p=0.15). Average accumulated QALYs were 1.10 (SD 0.37) and 1.07 (SD 0.42) in the IFX and SSZ+HCQ groups, respectively (adjusted mean difference favouring IFX 0.07; 95%CI −0.01, 0.14; p=0.07). BOCF analysis showed similar results, while differences were reversed, though remained statistically non-significant among completers. Dropout rates in the IFX/SSZ+HCQ groups were 30%/43% (p=0.01).ConclusionsComparing addition of IFX or SSZ+HCQ to MTX in active early RA, no statistically significant differences in utility or QALY gain could be detected over 21 months.Trial registrationRegistered in WHO database at the Karolinska University Hospital, number CT20080004.

scholarly journals Intervention and Evaluation of Mobile Health Technologies in Management of Patients Undergoing Chronic Dialysis: Scoping Review (Preprint)

2019 ◽  
Author(s):  
Yang Yang ◽  
Helen Chen ◽  
Hammad Qazi ◽  
Plinio P Morita
Keyword(s):  
Quality Of Life ◽  
Mobile Health ◽  
Scoping Review ◽  
Behavioral Change ◽  
User Acceptance ◽  
Adult Patients ◽  
Chronic Dialysis ◽  
Self Monitoring ◽  
Web Based

BACKGROUND Studies have shown the effectiveness and user acceptance of mobile health (mHealth) technologies in managing patients with chronic kidney disease (CKD). However, incorporating mHealth technology into the standard care of patients with CKD still faces many challenges. To our knowledge, there are no reviews on mHealth interventions and their assessments concerning the management of patients undergoing dialysis. OBJECTIVE This study provided a scoping review on existing apps and interventions of mHealth technologies in adult patients undergoing chronic dialysis and identified the gaps in patient outcome assessment of mHealth technologies in the literature. METHODS We systematically searched PubMed (MEDLINE), Scopus, and the Cumulative Index to Nursing and Allied Health Literature databases, as well as gray literature sources. Two keywords, “mHealth” and “dialysis,” were combined to address the main concepts of the objectives. Inclusion criteria were as follows: (1) mHealth interventions, which are on a smartphone, tablet, or web-based portals that are accessible through mobile devices; and (2) adult patients (age ≥18 years) on chronic dialysis. Only English papers published from January 2008 to October 2018 were included. Studies with mHealth apps for other chronic conditions, based on e-consultation or videoconferencing, non-English publications, and review papers were excluded. RESULTS Of the 1054 papers identified, 22 met the inclusion and exclusion criteria. Most studies (n=20) were randomized controlled trials and cohort studies. These studies were carried out in 7 countries. The main purposes of these mHealth interventions were as follows: nutrition or dietary self-monitoring (n=7), remote biometric monitoring (n=7), web-based portal (n=4), self-monitoring of in-session dialysis-specific information (n=3), and self-monitoring of lifestyle or behavioral change (n=1). The outcomes of the 22 included studies were organized into five categories: (1) patient satisfaction and acceptance, (2) clinical effectiveness, (3) economic assessment, (4) health-related quality of life, and (5) impact on lifestyle or behavioral change. The mHealth interventions showed neutral to positive results in chronic dialysis patient management, reporting no to significant improvement of dialysis-specific measurements and some components of the overall quality of life assessment. Evaluation of these mHealth interventions consistently demonstrated evidence in patients’ satisfaction, high level of user acceptance, and reduced use of health resources and cost savings to health care services. However, there is a lack of studies evaluating safety, organizational, sociocultural, ethical, and legal aspects of mHealth technologies. Furthermore, a comprehensive cost-effectiveness and cost-benefit analysis of adopting mHealth technologies was not found in the literature. CONCLUSIONS The gaps identified in this study will inform the creation of health policies and organizational support for mHealth implementation in patients undergoing dialysis. The findings of this review will inform the development of a comprehensive service model that utilizes mHealth technologies for home monitoring and self-management of patients undergoing chronic dialysis.

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