scholarly journals More Stamina, a Gamified mHealth Solution for Persons with Multiple Sclerosis: Research Through Design (Preprint)

2017 ◽  
Author(s):  
Guido Giunti ◽  
Vasiliki Mylonopoulou ◽  
Octavio Rivera Romero
Keyword(s):  
Multiple Sclerosis ◽  
Design Process ◽  
Behavioral Change ◽  
Heuristic Evaluation ◽  
Change Models ◽  
Usability Problems ◽  
Research Through Design ◽  
The Impact ◽  
Mhealth Apps ◽  
A Current

BACKGROUND Multiple sclerosis (MS) is one of the world’s most common neurologic disorders. Fatigue is one of most common symptoms that persons with MS experience, having significant impact on their quality of life and limiting their activity levels. Self-management strategies are used to support them in the care of their health. Mobile health (mHealth) solutions are a way to offer persons with chronic conditions tools to successfully manage their symptoms and problems. Gamification is a current trend among mHealth apps used to create engaging user experiences and is suggested to be effective for behavioral change. To be effective, mHealth solutions need to be designed to specifically meet the intended audience needs. User-centered design (UCD) is a design philosophy that proposes placing end users’ needs and characteristics in the center of design and development, involving users early in the different phases of the software life cycle. There is a current gap in mHealth apps for persons with MS, which presents an interesting area to explore. OBJECTIVE The purpose of this study was to describe the design and evaluation process of a gamified mHealth solution for behavioral change in persons with MS using UCD. METHODS Building on previous work of our team where we identified needs, barriers, and facilitators for mHealth apps for persons with MS, we followed UCD to design and evaluate a mobile app prototype aimed to help persons with MS self-manage their fatigue. Design decisions were evidence-driven and guided by behavioral change models (BCM). Usability was assessed through inspection methods using Nielsen’s heuristic evaluation. RESULTS The mHealth solution More Stamina was designed. It is a task organization tool designed to help persons with MS manage their energy to minimize the impact of fatigue in their day-to-day life. The tool acts as a to-do list where users can input tasks in a simple manner and assign Stamina Credits, a representation of perceived effort, to the task to help energy management and energy profiling. The app also features personalization and positive feedback. The design process gave way to relevant lessons to the design of a gamified behavioral change mHealth app such as the importance of metaphors in concept design, negotiate requirements with the BCM constructs, and tailoring of gamified experiences among others. Several usability problems were discovered during heuristic evaluation and guided the iterative design of our solution. CONCLUSIONS In this paper, we designed an app targeted for helping persons with MS in their fatigue management needs. We illustrate how UCD can help in designing mHealth apps and the benefits and challenges that designers might face when using this approach. This paper provides insight into the design process of gamified behavioral change mHealth apps and the negotiation process implied in it.

Examination of the Use of Nielsen’s 10 Usability Heuristics & Outlooks for the Future

2017 ◽  
Vol 61 (1) ◽  
pp. 1472-1475 ◽  
Author(s):  
Emily Gonzalez-Holland ◽  
Daphne Whitmer ◽  
Larry Moralez ◽  
Mustapha Mouloua
Keyword(s):  
Design Process ◽  
Interface Design ◽  
Cost Effective ◽  
Rapid Expansion ◽  
Heuristic Methods ◽  
Heuristic Evaluation ◽  
Usability Problems ◽  
The Future ◽  
Usability Evaluation Methods ◽  
Practical Implications

Heuristics are commonly employed throughout various stages of the design process to evaluate the usability of interfaces. Heuristic Evaluation (HE) provides researchers with a cost effective and practical means to effectively assess designs. In this article, we aim to outline the development and application of one of the most frequently cited set of heuristic evaluation tools, Nielsen’s (1994) 10 usability heuristics. Nielsen’s heuristics have not only been applied to various modalities of interface design, but have also been compared to other usability evaluation methods. Moreover, in many cases they have been modified so that they can be applied in an ever-changing socio-technical environment. In reviewing these developments, we propose theoretical and practical implications of these heuristic methods and present an outlook for the future. We argue that with the rapid expansion and growth of technology in the last 20 years, Nielsen’s 10 usability heuristics may need an update to remain consistent with modern usability problems.

scholarly journals New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study

10.2196/20353 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e20353
Author(s):  
Kamran Khowaja ◽  
Dena Al-Thani
Keyword(s):  
Health Care Professionals ◽  
Healthy Lifestyle ◽  
Vital Role ◽  
Design Guidelines ◽  
Heuristic Evaluation ◽  
Self Monitoring ◽  
Glucose Levels ◽  
Usability Problems ◽  
System Usability Scale ◽  
Mhealth Apps

Background Diabetes is one of the leading causes of death in developing countries. Existing mobile health (mHealth) app design guidelines lack a description of the support of continuous self-monitoring of health status, behavior change to improve and adopt a healthy lifestyle, and communication with health educators and health care professionals in case of any need. Objective This paper presents the development of a specialized set of heuristics called heuristic evaluation for mHealth apps (HE4EH) as an all-in-one tool and its applicability by performing a heuristic evaluation of an mHealth app. Methods An extensive review of heuristics and checklists was used to develop the HE4EH. The HE4EH was evaluated by domain experts for heuristics, checklist items, severity ratings, and overall satisfaction. The OneTouch app, which helps individuals with diabetes manage their blood glucose levels, was evaluated using HE4EH to identify usability problems that need to be fixed in the app. Results The expert evaluation of HE4EH revealed that the heuristics were important, relevant, and clear. The checklist items across the heuristics were clear, relevant, and acceptably grouped. In terms of evaluating the OneTouch app using the HE4EH, the most frequently violated heuristics included Content, Visibility, Match, and Self-monitoring. Most of the usability problems found were minor. The system usability scale score indicated that the OneTouch app is marginally acceptable. Conclusions This heuristic evaluation using the OneTouch app shows that the HE4EH can play a vital role for designers, researchers, and practitioners to use HE4EH heuristics and checklist items as a tool to design a new or evaluate and improve an existing mHealth app.

scholarly journals 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study (Preprint)

2018 ◽  
Author(s):  
Guido Giunti
Keyword(s):  
Mobile Health ◽  
Health Care Professionals ◽  
Behavioral Change ◽  
Chronic Conditions ◽  
Mobile Technologies ◽  
Chronic Patients ◽  
Change Models ◽  
Research Through Design ◽  
Embedded Case Study

BACKGROUND Chronic conditions are the leading cause of death in the world. Major improvements in acute care and diagnostics have created a tendency toward the chronification of formerly terminal conditions, requiring people with these conditions to learn how to self-manage. Mobile technologies hold promise as self-management tools due to their ubiquity and cost-effectiveness. The delivery of health-related services through mobile technologies (mobile health, mHealth) has grown exponentially in recent years. However, only a fraction of these solutions take into consideration the views of relevant stakeholders such as health care professionals or even patients. The use of behavioral change models (BCMs) has proven important in developing successful health solutions, yet engaging patients remains a challenge. There is a trend in mHealth solutions called gamification that attempts to use game elements to drive user behavior and increase engagement. As it stands, designers of mHealth solutions for behavioral change in chronic conditions have no clear way of deciding what factors are relevant to consider. OBJECTIVE The goal of this work is to discover factors for the design of mHealth solutions for chronic patients using negotiations between medical knowledge, BCMs, and gamification. METHODS This study uses an embedded case study research methodology consisting of 4 embedded units: 1) cross-sectional studies of mHealth applications; 2) statistical analysis of gamification presence; 3) focus groups and interviews to relevant stakeholders; and 4) research through design of an mHealth solution. The data obtained was thematically analyzed to create a conceptual model for the design of mHealth solutions. RESULTS The Model for Motivational Mobile-health Design (3MD) for chronic conditions guides the design of condition-oriented gamified behavioral change mHealth solutions. The main components are (1) condition specific, which describe factors that need to be adjusted and adapted for each particular chronic condition; (2) motivation related, which are factors that address how to influence behaviors in an engaging manner; and (3) technology based, which are factors that are directly connected to the technical capabilities of mobile technologies. The 3MD also provides a series of high-level illustrative design questions for designers to use and consider during the design process. CONCLUSIONS This work addresses a recognized gap in research and practice, and proposes a unique model that could be of use in the generation of new solutions to help chronic patients.

scholarly journals Effect of User Sessions on the Heuristic Usability Method

2018 ◽  
Vol 9 (1) ◽  
pp. 62-81 ◽  
Author(s):  
Jehad Alqurni ◽  
Roobaea Alroobaea ◽  
Mohammed Alqahtani
Keyword(s):  
End Users ◽  
Usability Evaluation ◽  
Software Systems ◽  
Heuristic Evaluation ◽  
End User ◽  
Usability Problems ◽  
The Impact ◽  
Review Session ◽  
Usability Evaluation Methods ◽  
User Review

Heuristic evaluation (HE) is a widely used method for assessing software systems. Several studies have sought to improve the effectiveness of HE by developing its heuristics and procedures. However, few studies have involved the end-user, and to the best of the authors' knowledge, no HE studies involving end-users with non-expert evaluators have been reported. Therefore, the aim of this study is to investigate the impact of end-users on the results obtained by a non-expert evaluator within the HE process, and through that, to explore the number of usability problems and their severity. This article proposes introducing two sessions within the HE process: a user exploration session (UES-HE) and a user review session (URS-HE). The outcomes are compared with two solid benchmarks in the usability-engineering field: the traditional HE and the usability testing (UT) methods. The findings show that the end-user has a significant impact on non-expert evaluator results in both sessions. In the UES-HE method, the results outperformed all usability evaluation methods (UEMs) regarding the usability problems identified, and it tended to identify more major, minor, and cosmetic problems than other methods.

scholarly journals Impact of Social Advertisement towards Health and Hygeine

2019 ◽  
Vol 8 (3) ◽  
pp. 7056-7061
Keyword(s):  
Behavioral Change ◽  
Andhra Pradesh ◽  
Social Problems ◽  
Social Issues ◽  
Indian Society ◽  
Target Groups ◽  
Social Advertising ◽  
The Impact ◽  
A Current ◽  
Current Behavior

Our Indian society is plagued with numerous social problems, such as illiteracy, dowry harassment, child abuse, female feticide, poor sanitation, malnutrition, casteism etc. From time immemorial many great philosophers, social reformers, activists and leaders have been trying to solve these social problems in their own perceived ways. Social Advertisements are a powerful tool for social change. Social advertising is about applying marketing and advertising principles to promote health and other social issues and bringing about positive behavioral change. Social advertising sells a behavioral change to a targeted group of individuals, making them accept a new behavior, reject a potential behavior, modify a current behavior and abandon an old behavior. In fact the state and central governments have been spending significant amounts of money on social advertising but the impact of such advertisements has not been studied in a systematic way. Hence a systematic study was undertaken across the length and breadth of Ananthapur district of Andhra Pradesh which included identifying target groups, distributing questionnaires, collecting data from the respondents and statistically analyzing the data to make the inference

scholarly journals New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study (Preprint)

2020 ◽  
Author(s):  
Kamran Khowaja ◽  
Dena Al-Thani
Keyword(s):  
Health Care Professionals ◽  
Healthy Lifestyle ◽  
Vital Role ◽  
Design Guidelines ◽  
Heuristic Evaluation ◽  
Self Monitoring ◽  
Glucose Levels ◽  
Usability Problems ◽  
System Usability Scale ◽  
Mhealth Apps

BACKGROUND Diabetes is one of the leading causes of death in developing countries. Existing mobile health (mHealth) app design guidelines lack a description of the support of continuous self-monitoring of health status, behavior change to improve and adopt a healthy lifestyle, and communication with health educators and health care professionals in case of any need. OBJECTIVE This paper presents the development of a specialized set of heuristics called heuristic evaluation for mHealth apps (HE4EH) as an all-in-one tool and its applicability by performing a heuristic evaluation of an mHealth app. METHODS An extensive review of heuristics and checklists was used to develop the HE4EH. The HE4EH was evaluated by domain experts for heuristics, checklist items, severity ratings, and overall satisfaction. The OneTouch app, which helps individuals with diabetes manage their blood glucose levels, was evaluated using HE4EH to identify usability problems that need to be fixed in the app. RESULTS The expert evaluation of HE4EH revealed that the heuristics were important, relevant, and clear. The checklist items across the heuristics were clear, relevant, and acceptably grouped. In terms of evaluating the OneTouch app using the HE4EH, the most frequently violated heuristics included Content, Visibility, Match, and Self-monitoring. Most of the usability problems found were minor. The system usability scale score indicated that the OneTouch app is marginally acceptable. CONCLUSIONS This heuristic evaluation using the OneTouch app shows that the HE4EH can play a vital role for designers, researchers, and practitioners to use HE4EH heuristics and checklist items as a tool to design a new or evaluate and improve an existing mHealth app.

scholarly journals Impact of COVID-19 on multiple sclerosis care and management: Results from the European Committee for Treatment and Research in Multiple Sclerosis survey

2021 ◽  
pp. 135245852110053
Author(s):  
Emilio Portaccio ◽  
Mattia Fonderico ◽  
Bernhard Hemmer ◽  
Tobias Derfuss ◽  
Bruno Stankoff ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Access To Care ◽  
Online Survey ◽  
Dimethyl Fumarate ◽  
Standards Of Care ◽  
Treatment Practices ◽  
European Committee ◽  
Disease Modifying Therapy ◽  
Anti Cd20 ◽  
The Impact

Background: The spread of Coronavirus disease-19 (COVID-19) poses unique challenges in the management of people with multiple sclerosis (PwMS). Objectives: To collect data about the impact of COVID-19 emergency on access to care for PwMS and on MS treatment practices. Methods: Between March and July 2020, the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) promoted an online survey covering patient access to care, management of relapses and visits, disease-modifying therapy (DMT) and experience with COVID-19. Results: Three-hundred and sixty neurologists from 52 countries (68% from Europe) completed the survey. 98% reported COVID-19-related restrictions. Telemedicine was adopted to overcome the limited access to care and was newly activated (73%) or widely implemented (17%). 70% reported changes in DMT management. Interferons and glatiramer were considered safe. Dimethyl fumarate, teriflunomide and fingolimod were considered safe except for patients developing lymphopenia. No modifications were considered for natalizumab in 64%, cladribine in 24%, anti-CD20 in 22% and alemtuzumab in 17%; 18% (for alemtuzumab and cladribine) and 43% (for anti-CD20) considered postponing treatment. Conclusion: The ECTRIMS survey highlighted the challenges in keeping standards of care in clinical practice. Telemedicine clearly needs to be implemented. Gathering data on DMT safety will remain crucial to inform treatment decisions.

scholarly journals JC Virus Seroprevalence and JCVAb Index in Polish Multiple Sclerosis Patients Treated with Immunomodulating or Immunosuppressive Therapies

2021 ◽  
Vol 10 (9) ◽  
pp. 1998
Author(s):  
Robert Bonek ◽  
Wojciech Guenter ◽  
Robert Jałowiński ◽  
Anna Karbicka ◽  
Anna Litwin ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Jc Virus ◽  
Dimethyl Fumarate ◽  
Risk Category ◽  
Seroprevalence Rate ◽  
Immunomodulatory Drugs ◽  
Cross Sectional ◽  
Treatment Type ◽  
Multiple Sclerosis Patients ◽  
The Impact

The use of a highly-effective treatment for multiple sclerosis (MS) is associated with a severe risk of developing complications, such as progressive multifocal leukoencephalopathy (PML) caused by the John Cunningham virus (JCV). The aim of this study was to evaluate the correlation between anti-JCV Ab seroprevalence, anti-JCV AI, demographic and clinical factors as well as the type of therapy used in the Polish MS population. This is a multicentre, prospective and cross-sectional study involving 1405 MS patients. The seroprevalence of anti-JCV Ab and anti-JCV AI levels as well as AI categories were analysed with the use of a second-generation two-step ELISA test (STRATIFY JCV DxSelect). The overall prevalence of anti-JCV Ab was 65.8%. It was shown that seroprevalence increases with the patient’s age. The seroprevalence was significantly associated with the treatment type, and the highest values (76%) were obtained from immunosuppressant-treated patients. Overall, 63.3% of seropositive patients had an antibody index (AI) level of >1.5. In the seropositive patient group, the mean AI level amounted to 2.09. Similarly to the seroprevalence, AI levels correlated with the patient’s age; AI level for patients above 40 years old and from subsequent age quintiles plateaued, amounting to at least 1.55. Patients treated with immunosuppressants and immunomodulatory drugs obtained the highest (1.67) and lowest (1.35) AI levels, respectively. Of the immunosuppressants used, the highest mean AI levels were observed in mitoxantrone and cladribine groups, amounting to 1.75 and 1.69, respectively. In patients treated with immunomodulatory drugs, the lowest AI levels were observed in the dimethyl fumarate (DMF) group (1.11). The seroprevalence rate in the Polish MS population is one of the highest in Europe. The majority of seropositive patients had an anti-JCV Ab level qualifying them for a high-risk category. The highest mean AI levels are observed in patients receiving immunosuppressants, especially mitoxantrone and cladribine. Patients receiving immunomodulatory drugs have lower AI levels compared to treatment-naïve subjects, especially when treated with DMF. Further studies, especially longitudinal studies, are required to determine the impact of MS drugs on the seroprevalence of anti-JCV Ab and AI levels.

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