scholarly journals A Mobile Health Application for the Fibromyalgia-Like Post-COVID19 Syndrome: Study Protocol for User Experience and Clinical Data Analysis (Preprint)

10.2196/32193 ◽  
2021 ◽  
Author(s):  
Marc BLANCHARD ◽  
Lars Backhaus ◽  
Pedro Ming Azevedo ◽  
Thomas Hügle
Keyword(s):  
Data Analysis ◽  
User Experience ◽  
Clinical Data ◽  
Study Protocol ◽  
Mobile Health ◽  
Mobile Health Application ◽  
Clinical Data Analysis ◽  
Health Application

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

Effectiveness of the ‘Home-but not Alone’ mobile health application educational programme on parental outcomes: a randomized controlled trial, study protocol

2016 ◽  
Vol 73 (1) ◽  
pp. 253-264 ◽  
Author(s):  
Shefaly Shorey ◽  
Yvonne Peng Mei Ng ◽  
Dorthe Boe Danbjørg ◽  
Cindy-Lee Dennis ◽  
Evalotte Morelius
Keyword(s):  
Randomized Controlled Trial ◽  
Study Protocol ◽  
Mobile Health ◽  
Controlled Trial ◽  
Educational Programme ◽  
Randomized Controlled ◽  
Mobile Health Application ◽  
Health Application

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.

scholarly journals A User Experience and eHealth Literacy Inspection of a Lab Test Interpretation Mobile App for Citizens

2021 ◽  
Author(s):  
Helen Monkman ◽  
Leah Macdonald ◽  
Janessa Griffith ◽  
Blake Lesselroth
Keyword(s):  
Health Literacy ◽  
User Experience ◽  
Mobile Health ◽  
Mobile App ◽  
Test Interpretation ◽  
Specialized Training ◽  
Ehealth Literacy ◽  
Mobile Health Application ◽  
Lab Test ◽  
Health Application

People are increasingly able to access their laboratory (lab) results using patient-facing portals. However, lab reports for citizens are often identical to those for clinicians; without specialized training they can be near impossible to interpret. In this study, we inspected a mobile health application (app) that converts traditional lab results into a citizen-centred format. We used the Health Literacy Online (HLO) checklist to inspect the app. Our inspection revealed that most of the app’s strengths were related to its Organization of Content and Simple Navigation and most of its weaknesses were related to Engage Users. We also identified several usability and user experience (UX) issues that were beyond the purview of the HLO checklist. Although this app represents an important step towards making lab results universally accessible, we identified several opportunities for improvements that could increase its value to citizens.

scholarly journals Personalising the User Experience of a Mobile Health Application towards Patient Engagement

2018 ◽  
Vol 141 ◽  
pp. 428-433
Author(s):  
Rui Neves Madeira ◽  
Helena Germano ◽  
Patrícia Macedo ◽  
Nuno Correia
Keyword(s):  
User Experience ◽  
Mobile Health ◽  
Patient Engagement ◽  
Mobile Health Application ◽  
Health Application

scholarly journals Analysis of Walking Movement using Mobile Health Application: Motion Sensor Data Analysis (Preprint)

10.2196/24194 ◽  
2020 ◽  
Author(s):  
Sungchul Lee ◽  
Ryan M. Walker ◽  
Yoohwan Kim ◽  
Hyunhwa Lee
Keyword(s):  
Data Analysis ◽  
Mobile Health ◽  
Sensor Data ◽  
Motion Sensor ◽  
Mobile Health Application ◽  
Health Application

User Evaluation of an Integrated Medical Workstation for Clinical Data Analysis

1993 ◽  
Vol 32 (05) ◽  
pp. 365-372 ◽  
Author(s):  
T. Timmeis ◽  
J. H. van Bemmel ◽  
E. M. van Mulligen
Keyword(s):  
Data Analysis ◽  
Clinical Research ◽  
Clinical Data ◽  
University Hospital ◽  
User Evaluation ◽  
Scientific Staff ◽  
Medical Institutions ◽  
Clinical Data Analysis ◽  
Research Problems ◽  
The University

AbstractResults are presented of the user evaluation of an integrated medical workstation for support of clinical research. Twenty-seven users were recruited from medical and scientific staff of the University Hospital Dijkzigt, the Faculty of Medicine of the Erasmus University Rotterdam, and from other Dutch medical institutions; and all were given a written, self-contained tutorial. Subsequently, an experiment was done in which six clinical data analysis problems had to be solved and an evaluation form was filled out. The aim of this user evaluation was to obtain insight in the benefits of integration for support of clinical data analysis for clinicians and biomedical researchers. The problems were divided into two sets, with gradually more complex problems. In the first set users were guided in a stepwise fashion to solve the problems. In the second set each stepwise problem had an open counterpart. During the evaluation, the workstation continuously recorded the user’s actions. From these results significant differences became apparent between clinicians and non-clinicians for the correctness (means 54% and 81%, respectively, p = 0.04), completeness (means 64% and 88%, respectively, p = 0.01), and number of problems solved (means 67% and 90%, respectively, p = 0.02). These differences were absent for the stepwise problems. Physicians tend to skip more problems than biomedical researchers. No statistically significant differences were found between users with and without clinical data analysis experience, for correctness (means 74% and 72%, respectively, p = 0.95), and completeness (means 82% and 79%, respectively, p = 0.40). It appeared that various clinical research problems can be solved easily with support of the workstation; the results of this experiment can be used as guidance for the development of the successor of this prototype workstation and serve as a reference for the assessment of next versions.

The Design and Preliminary Evaluation of a Mobile Health Application TangTangQuan in Management of Type 1 Diabetes in China

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 860-P
Author(s):  
PING LING ◽  
SIHUI LUO ◽  
JINHUA YAN ◽  
XUEYING ZHENG ◽  
DAIZHI YANG ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Mobile Health ◽  
Preliminary Evaluation ◽  
Mobile Health Application ◽  
Health Application
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