scholarly journals Usability Testing of a Mobile App to Report Medication Errors Anonymously: Mixed-Methods Approach

10.2196/12232 ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. e12232 ◽  
Author(s):  
Doris George ◽  
Mohamed Azmi Hassali ◽  
Amar-Singh HSS
Keyword(s):  
Mixed Methods ◽  
Medication Errors ◽  
Usability Testing ◽  
Mobile App ◽  
Mixed Methods Approach

scholarly journals Losing Control to Data-Hungry Apps: A Mixed-Methods Approach to Mobile App Privacy

2018 ◽  
Vol 37 (4) ◽  
pp. 466-488 ◽  
Author(s):  
Petter Bae Brandtzaeg ◽  
Antoine Pultier ◽  
Gro Mette Moen
Keyword(s):  
Mixed Methods ◽  
Data Sharing ◽  
Mobile Apps ◽  
Personal Data ◽  
The United States ◽  
Mobile App ◽  
Third Party ◽  
User Survey ◽  
Privacy Policies ◽  
Mixed Methods Approach

Personal data from mobile apps are increasingly impacting users’ lives and privacy perceptions. However, there is a scarcity of research addressing the combination of (1) individual perceptions of mobile app privacy, (2) actual dataflows in apps, and (3) how such perceptions and dataflows relate to actual privacy policies and terms of use in mobile apps. To address these limitations, we conducted an innovative mixed-methods study including a representative user survey in Norway, an analysis of personal dataflows in apps, and content analysis of privacy policies of 21 popular, free Android mobile apps. Our findings show that more than half the respondents in the user survey repeatedly had refrained from downloading or using apps to avoid sharing personal data. Our analysis of dataflows applied a novel methodology measuring activity in the apps over time (48 hr). The investigation showed that 19 of the 21 apps investigated transmitted personal data to a total of approximately 600 different primary and third-party domains. From an European perspective, it is particularly noteworthy that most of these domains were associated with tech companies in the United States, where privacy laws are less strict than companies operating from Europe. The investigation further revealed that some apps by default track and share user data continuously, even when the app is not in use. For some of these, the terms of use provided with the apps did not inform the users about the actual tracking practice. A comparison of terms of use as provided in the studied apps with actual person dataflows as identified in the analysis disclosed that three of the apps shared data in violation with their provided terms of use. A possible solution for the mobile app industry, to strengthen user trust, is privacy by design through opt-in data sharing with the service and third parties and more granular information on personal data sharing practices. Also, based on the findings from this study, we suggest specific visualizations to enhance transparency of personal dataflows in mobile apps. A methodological contribution is that a mixed-methods approach strengthens our understanding of the complexity of privacy issues in mobile apps.

Scenario-based Group Usability Testing as a Mixed Methods Approach to the Evaluation of Three-Dimensional Virtual Learning Environments

2019 ◽  
Vol 58 (3) ◽  
pp. 616-639
Author(s):  
Andrina Granić ◽  
Jelena Nakić ◽  
Nikola Marangunić
Keyword(s):  
Mixed Methods ◽  
Learning Environments ◽  
Three Dimensional ◽  
Usability Testing ◽  
Virtual Learning ◽  
Virtual Learning Environments ◽  
Systematic Evaluation ◽  
Educational Value ◽  
Mixed Methods Approach ◽  
Insight Into

Although virtual reality became popular technology whose application is recognized in various domains, the field generally still lacks a widespread culture of usability. This is also evident when considering environments intended for learning, specifically virtual learning environments (VLEs). According to our findings, it is clear that there is a growing need for systematic evaluation approach to help with the design and development of usable learner-centered VLE solutions. After comprehensive introductory background and state of the art in the field, this article provides an insight into Scenario-based Group Usability Testing (ScerGUT), a mixed methods approach to the evaluation of three-dimensional VLEs which integrates several different methods of usability testing with measurements of educational value. While the majority of the existing work has made use of usually one single usability assessment technique, ScerGUT employs a number of methods putting in focus users and user testing. To examine efficiency and applicability of the approach, empirical validation is conducted as a case study of particular VLE. The contribution of the article is twofold: (a) ScerGUT as a mixed methods approach to the evaluation of VLEs, which brings new scientific value and could help other researchers and (b) ScerGUT’s application to a particular VLE, which brings quantitative and qualitative results, thus providing an insight into ease of use and educational value of specific VLE.

scholarly journals The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach

10.2196/11656 ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. e11656 ◽  
Author(s):  
Meshari F Alwashmi ◽  
John Hawboldt ◽  
Erin Davis ◽  
Michael D Fetters
Keyword(s):  
Mixed Methods ◽  
Mobile Health ◽  
Usability Testing ◽  
Mixed Methods Approach ◽  
Convergent Design

scholarly journals Usability Testing of a Mobile App to Report Medication Errors Anonymously: Mixed-Methods Approach (Preprint)

2018 ◽  
Author(s):  
Doris George ◽  
Mohamed Azmi Hassali ◽  
Amar-Singh HSS
Keyword(s):  
Health Care ◽  
Medication Error ◽  
Medication Errors ◽  
Usability Testing ◽  
Mobile App ◽  
Error Reporting ◽  
Medication Error Reporting ◽  
System Usability Scale ◽  
Mean Time ◽  
Doctors And Nurses

BACKGROUND Reporting of medication errors is one of the essential mechanisms to identify risky health care systems and practices that lead to medication errors. Unreported medication errors are a real issue; one of the identified causes is a burdensome medication error reporting system. An anonymous and user-friendly mobile app for reporting medication errors could be an alternative method of reporting medication error in busy health care settings. OBJECTIVE The objective of this paper is to report usability testing of the Medication Error Reporting App (MERA), a mobile app for reporting medication errors anonymously. METHODS Quantitative and qualitative methods were employed involving 45 different testers (pharmacists, doctors, and nurses) from a large tertiary hospital in Malaysia. Quantitative data was retrieved using task performance and rating of MERA and qualitative data were retrieved through focus group discussions. Three sessions, with 15 testers each session, were conducted from January to March 2018. RESULTS The majority of testers were pharmacists (23/45, 51%), female (35/45, 78%), and the mean age was 36 (SD 9) years. A total of 135 complete reports were successfully submitted by the testers (three reports per tester) and 79.2% (107/135) of the reports were correct. There was significant improvement in mean System Usability Scale scores in each session of the development process (P<.001) and mean time to report medication errors using the app was not significantly different between each session (P=.70) with an overall mean time of 6.7 (SD 2.4) minutes. Testers found the app easy to use, but doctors and nurses were unfamiliar with terms used especially medication process at which error occurred and type of error. Although, testers agreed the app can be used in the future for reporting, they were apprehensive about security, validation, and abuse of feedback featured in the app. CONCLUSIONS MERA can be used to report medication errors easily by various health care personnel and it has the capacity to provide feedback on reporting. However, education on medication error reporting should be provided to doctors and nurses in Malaysia and the security of the app needs to be established to boost reporting by this method.

A Mixed-Methods Approach to Investigating Medication Errors

2020 ◽  
Author(s):  
Motshedisi Sabone ◽  
Wananani Tshiamo ◽  
Joyce Kgatlwane
Keyword(s):  
Mixed Methods ◽  
Medication Errors ◽  
Mixed Methods Approach

Exploring Social Identity Among People with Disabilities: A Mixed-Methods Approach

2012 ◽  
Author(s):  
Adena T. Rottenstein ◽  
Ryan J. Dougherty ◽  
Alexis Strouse ◽  
Lily Hashemi ◽  
Hilary Baruch
Keyword(s):  
Mixed Methods ◽  
Social Identity ◽  
People With Disabilities ◽  
Mixed Methods Approach

Assessing Change Patterns for the Socially Inhibited Subtype Within Focused Brief Group Therapy: A Mixed-Methods Approach

2012 ◽  
Author(s):  
Martyn S. Whittingham ◽  
David A. Yutrzenka ◽  
Kacey Greening
Keyword(s):  
Mixed Methods ◽  
Group Therapy ◽  
Mixed Methods Approach

A mixed-methods approach to understanding the role of religion and spirituality in healthcare provider well-being.

2020 ◽  
Vol 12 (4) ◽  
pp. 487-493 ◽  
Author(s):  
Elizabeth Palmer Kelly ◽  
Madison Hyer ◽  
Nicolette Payne ◽  
Timothy M. Pawlik
Keyword(s):  
Mixed Methods ◽  
Healthcare Provider ◽  
Well Being ◽  
Religion And Spirituality ◽  
Mixed Methods Approach ◽  
Role Of Religion
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