scholarly journals Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study (Preprint)

2018 ◽  
Author(s):  
Jennifer Apolinário-Hagen ◽  
Mireille Menzel ◽  
Severin Hennemann ◽  
Christel Salewski
Keyword(s):  
Multiple Sclerosis ◽  
Disease Management ◽  
Mobile Health ◽  
Behavioral Intentions ◽  
Self Management ◽  
Web Based ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
The Relationship ◽  
Mhealth Apps

BACKGROUND Mobile health (mHealth) apps might have the potential to promote self-management of people with multiple sclerosis (MS) in everyday life. However, the uptake of MS apps remains poor, and little is known about the facilitators and barriers for their efficient utilization, such as technology acceptance. OBJECTIVE The aim of this study was to examine the acceptance of mHealth apps for disease management in the sense of behavioral intentions to use and explore determinants of utilization among people with MS based on the Unified Theory of Acceptance and Use of Technology (UTAUT). METHODS Participants for this Web-based cross-sectional study were recruited throughout Germany with the support of regional MS associations and self-help groups. To identify determinants of intention to use MS apps, a measure based on the UTAUT was adapted with 4 key determinants (performance expectancy, effort expectancy, social influence, and facilitating conditions) and extended by Intolerance of Uncertainty (IU) and electronic health literacy. Potential influencing effects of both MS and computer self-efficacy (C-SE) as mediators and fatigue as a moderator were analyzed using Hayes’s PROCESS macro (SPSS version 3.0) for IBM SPSS version 24.0. RESULTS A total of 98 participants (mean age 47.03 years, SD 10.17; 66/98, 67% female) with moderate fatigue levels completed the survey. Although most participants (91/98, 92%) were daily smartphone users, almost two-thirds (62/98, 63%) reported no experience with MS apps. Overall, the acceptance was moderate on average (mean 3.11, SD 1.31, minimum=1 and maximum=5), with lower scores among persons with no experience (P=.04) and higher scores among current users (P<.001). In multiple regression analysis (R2=63% variance explained), performance expectancy (beta=.41) and social influence (beta=.33) were identified as significant predictors of acceptance (all P<.001). C-SE was confirmed as a partial mediator in the relationship between IU and acceptance (indirect effect: B=−.095, 95% CI −0.227 to −0.01). Furthermore, a moderated mediation by C-SE was shown in the relationship between IU and behavioral intentions to use MS apps for low (95% CI −0.42 to −0.01) and moderate levels (95% CI −0.27 to −0.01) of fatigue. CONCLUSIONS Overall, this exploratory pilot study indicates for the first time that positive expectations about the helpfulness for self-management purposes and social support might be important factors to be considered for improving the acceptance of MS apps among smartphone users with MS. However, given some inconsistent findings, especially regarding the role of effort expectancy and IU and self-efficacy, the conceptual model needs replication with a larger sample of people with MS, varying more in fatigue levels, and a longitudinal assessment of the actual usage of MS apps predicted by acceptance in the sense of behavioral intentions to use.

scholarly journals Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

10.2196/11977 ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. e11977 ◽  
Author(s):  
Jennifer Apolinário-Hagen ◽  
Mireille Menzel ◽  
Severin Hennemann ◽  
Christel Salewski
Keyword(s):  
Multiple Sclerosis ◽  
Disease Management ◽  
Mobile Health ◽  
Survey Study ◽  
Web Based ◽  
Health Apps ◽  
Mobile Health Apps

The International Classification of Functioning, Disability, and Health (ICF) as a community participation model for people with multiple sclerosis: A hierarchical regression analysis

2020 ◽  
Vol 26 (2) ◽  
pp. 55-72
Author(s):  
Joseph Pfaller ◽  
Fong Chan ◽  
Kanako Iwanaga ◽  
Jia-Rung Wu ◽  
Stuart Rumrill ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Regression Analysis ◽  
Community Participation ◽  
International Classification Of Functioning ◽  
Self Management ◽  
Hierarchical Regression ◽  
Personal Factors ◽  
Disability And Health ◽  
The Relationship

AbstractMultiple sclerosis (MS) is a central nervous system disorder that impacts more than 400,000 people in the U.S. The disease results in multiple functional impairments that are diverse and varied across individuals. Additonally, MS has a profound impact on community participation which, like other rehabilitation outcomes, cannot be explained on the basis of functional limitations alone. The purpose of this study was to develop and evaluate a model of community participation for people living with MS using the World Health Organization (WHO) International Classification of Functioning, Disability, and Health (ICF) framework. The model focused on the roles that personal factors have as predictors of community participation, while also serving as mediators and moderators for the relationship between activity limitation and participation. Results from the hierarchical regression analysis indicated that demographic characteristics (i.e. MS type), personal factors (i.e. core self-evaluations (CSE), MS self-management, resilience, and social skills), and activity limitations accounted for 64% of the variance in participation. Further, mediation analysis indicated that CSE mediated the relationship between activity limitation and community participation. Finally, moderation analysis indicated an interaction effect between educational attainment and MS self-management. Implications for future research in rehabilitation and clinical application are discussed.

scholarly journals Web-Based Self-Management for Patients with Multiple Sclerosis: A Practical, Randomized Trial

2011 ◽  
Vol 17 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Deborah M. Miller ◽  
Shirley M. Moore ◽  
Robert J. Fox ◽  
Ashish Atreja ◽  
Alex Z. Fu ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Randomized Trial ◽  
Self Management ◽  
Web Based

scholarly journals Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study

10.2196/15060 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e15060 ◽  
Author(s):  
Leming Zhou ◽  
Andi Saptono ◽  
I Made Agus Setiawan ◽  
Bambang Parmanto
Keyword(s):  
Mobile Health ◽  
Motor Impairment ◽  
People With Disabilities ◽  
Self Management ◽  
Fine Motor ◽  
Single Subject ◽  
Study Results ◽  
Cord Injury ◽  
Study Participants ◽  
Mhealth Apps

Background Over the past decade, a large number of mobile health (mHealth) apps have been created to help individuals to better manage their own health. However, very few of these mHealth apps were specifically designed for people with disabilities, and only a few of them have been assessed for accessibility for people with disabilities. As a result, people with disabilities have difficulties using many of these mHealth apps. Objective The objective of this study was to identify an approach that can be generally applied to improve the accessibility of mHealth apps. Methods We recruited 5 study participants with a primary diagnosis of cerebral palsy or spinal cord injury. All the participants had fine motor impairment or lack of dexterity, and hence, they had difficulties using some mHealth apps. These 5 study participants were first asked to use multiple modules in the client app of a novel mHealth system (iMHere 2.0), during which their performance was observed. Interviews were conducted post use to collect study participants’ desired accessibility features. These accessibility features were then implemented into the iMHere 2.0 client app as customizable options. The 5 participants were asked to use the same modules in the app again, and their performance was compared with that in the first round. A brief interview and a questionnaire were then performed at the end of the study to collect the 5 participants’ comments and impression of the iMHere 2.0 app in general and of the customizable accessibility features. Results Study results indicate that the study participants on their first use of the iMHere 2.0 client app experienced various levels of difficulty consistent with the severity of their lack of dexterity. Their performance was improved after their desired accessibility features were added into the app, and they liked the customizable accessibility features. These participants also expressed an interest in using this mHealth system for their health self-management tasks. Conclusions The accessibility features identified in this study improved the accessibility of the mHealth app for people with dexterity issues. Our approach for improving mHealth app accessibility may also be applied to other mHealth apps to make those apps accessible to people with disabilities.

scholarly journals Impact of mobile health applications on self-management in patients with type 2 diabetes mellitus: protocol of a systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e025714 ◽  
Author(s):  
Benard Ayaka Bene ◽  
Siobhan O’Connor ◽  
Nikolaos Mastellos ◽  
Azeem Majeed ◽  
Kayode Philip Fadahunsi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Global Health ◽  
Mobile Health ◽  
Self Management ◽  
Cochrane Central Register ◽  
Mhealth Apps

IntroductionThe emergence of mobile health (mHealth) solutions, particularly mHealth applications (apps), has shown promise in self-management of chronic diseases including type 2 diabetes mellitus (T2DM). While majority of the previous systematic reviews have focused on the effectiveness of mHealth apps in improving treatment outcomes in patients with T2DM, there is a need to also understand how mHealth apps influence self-management of T2DM. This is crucial to ensure improvement in the design and use of mHealth apps for T2DM. This protocol describes how a systematic review will be conducted to determine in which way(s) mHealth apps might impact on self-management of T2DM.MethodsThe following electronic databases will be searched from inception to April 2019: PubMed, MEDLINE, EMBASE, Global Health, PsycINFO, CINAHL, The Cochrane Central Register of Controlled Trials, Scopus, Web of Science, ProQuest Dissertations & Theses Global, Health Management Information Consortium database, Google Scholar and ClinicalTrials.gov. The Cochrane risk of bias tool will be used to assess methodological quality. The primary outcome measures to be assessed will be ‘change in blood glucose’. The secondary outcomes measures will be ‘changes in cardiovascular risk markers’ (including blood pressure, body mass index and blood lipids), and self-management practices. Others will include: health-related quality of life, economic data, social support, harms (eg, death or complications leading to hospital admissions or emergency unit attendances), death from any cause, anxiety or depression and adverse events (eg, hypoglycaemic episodes).Ethics and disseminationThis study will not involve the collection of primary data and will not require ethical approval. The review will be published in a peer-reviewed journal and a one-page summary of the findings will be shared with relevant organisations. Presentation of findings will be made at appropriate conferences.Trial registration numberCRD42017071106.

scholarly journals Patient Self-Management of Asthma Using Mobile Health Applications: A Systematic Review of the Functionalities and Effects

2017 ◽  
Vol 08 (04) ◽  
pp. 1068-1081 ◽  
Author(s):  
Mehrdad Farzandipour ◽  
Ehsan Nabovati ◽  
Reihane Sharif ◽  
Marzieh Arani ◽  
Shima Anvari
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Mobile Health ◽  
Self Management ◽  
Cochrane Central Register ◽  
Patient Reported ◽  
Mobile Health Applications ◽  
Mhealth Apps ◽  
Health Applications

Objective The aim of this systematic review was to summarize the evidence regarding the effects of mobile health applications (mHealth apps) for self-management outcomes in patients with asthma and to assess the functionalities of effective interventions. Methods We systematically searched Medline, Scopus, and the Cochrane Central Register of Controlled Trials. We included English-language studies that evaluated the effects of smartphone or tablet computer apps on self-management outcomes in asthmatic patients. The characteristics of these studies, effects of interventions, and features of mHealth apps were extracted. Results A total of 10 studies met all the inclusion criteria. Outcomes that were assessed in the included studies were categorized into three groups (clinical, patient-reported, and economic). mHealth apps improved asthma control (five studies) and lung function (two studies) from the clinical outcomes. From the patient-reported outcomes, quality of life (three studies) was statistically significantly improved, while there was no significant impact on self-efficacy scores (two studies). Effects on economic outcomes were equivocal, so that the number of visits (in two studies) and admission and hospitalization-relevant outcomes (in one study) statistically significantly improved; and in four other studies, these outcomes did not improve significantly. mHealth apps features were categorized into seven categories (inform, instruct, record, display, guide, remind/alert, and communicate). Eight of the 10 mHealth apps included more than one functionality. Nearly all interventions had the functionality of recording user-entered data and half of them had the functionality of providing educational information and reminders to patients. Conclusion Multifunctional mHealth apps have good potential in the control of asthma and in improving the quality of life in such patients compared with traditional interventions. Further studies are needed to identify the effectiveness of these interventions on outcomes related to medication adherence and costs.

scholarly journals UNIFIED THEORY OF ACCEPTANCE USE OF TECHNOLOGY (UTAUT) AND ITS APPLICABILITY TO MORTGAGE BANKING DIGITIZATION: THE CASE OF THE PHILIPPINES

2019 ◽  
Vol 4 (14) ◽  
pp. 47-60
Author(s):  
Dave T. Morales ◽  
Fernando L. Trinidad
Keyword(s):  
Behavioral Intentions ◽  
The Philippines ◽  
Innovative Technology ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
The Impact ◽  
The Way

The advent of technology has influenced the way banks should conduct their business. People are becoming more conscious, more discerning and more critical with the way how businesses should provide efficient, fast, and convenient access to their products and services. And banks are not exempted from these expectations. There has been a steady surge of innovative technology that will help banks deliver more efficient services through digitization. This study was conducted to investigate the determinants of the behavioral intentions on the acceptability of the bank’s digital mortgage service from the perspective of 250 mortgage clients who are current or prospective users of digital mortgage service. The study was anchored from the Unified Theory of Acceptance Use of Technology (UTAUT). The research has found that the determinants of behavioral intention to accept digital mortgage device among mortgage clients were facilitating conditions, performance expectancy and effort expectancy. It was also revealed that based on the standardized beta coefficients, facilitating conditions (0.405), performance expectancy (0.383) and effort expectancy (0.134) had a significant influence on bank mortgage clients’ behavioral intentions to accept digital mortgage service. Additionally, it was also proven that the age, education, computer knowledge and internet knowledge of the mortgage clients moderate the impact of the three determinants: performance expectancy, effort expectancy and social influence on clients’ digital mortgage service acceptance. Lastly, it can be concluded that performance expectancy is directly related to internet time, frequency of product purchase using a mobile device and use of mobile banking.

scholarly journals A Patient-Centered Mobile Health System That Supports Asthma Self-Management (breathe): Design, Development, and Utilization (Preprint)

2018 ◽  
Author(s):  
Plinio Pelegrini Morita ◽  
Melanie S Yeung ◽  
Madonna Ferrone ◽  
Ann K Taite ◽  
Carole Madeley ◽  
...  
Keyword(s):  
Health System ◽  
Real Time ◽  
Asthma Control ◽  
Mobile Health ◽  
Peak Flow ◽  
Action Plan ◽  
Self Management ◽  
Evidence Based ◽  
Web Based ◽  
Physician Visits

BACKGROUND Uncontrolled asthma poses substantial negative personal and health system impacts. Web-based technologies, including smartphones, are novel means to enable evidence-based care and improve patient outcomes. OBJECTIVE The aim of this study was to design, develop, and assess the utilization of an asthma collaborative self-management (CSM) platform (breathe) using content based on international evidence-based clinical guidelines. METHODS We designed and developed breathe as a Web-based mobile health (mHealth) platform accessible on smartphones, tablets, or desktop with user-centered design methods and International Organization for Standardization–certified quality development processes. Moreover, breathe was envisioned as a multifunctional, CSM mHealth platform, with content based on international clinical practice guidelines and compliant with national privacy and security specifications. The system enabled CSM (patient, provider, and breathe) and self-monitoring of asthma patients through (1) assessment of asthma control, (2) real-time access to a dynamic asthma action plan, (3) access to real-time environmental conditions, and (4) risk-reduction messaging. The data collection protocol collected user data for 12 months, with clinic visits at baseline and 6 and 12 months. Utilization outcomes included user interactions with the platform, user impressions, self-reported medication use, asthma symptom profile, reported peak flow measurement, and the delivery and impact of email reminders. RESULTS We enrolled 138 patients with a mean age of 45.3 years to receive the breathe intervention. Majority were female (100/138, 72.5%), had a smartphone (92/138, 66.7%), and had a mean Asthma Control Test score of 18.3 (SD 4.9). A majority reported that breathe helped in the management of their asthma. Moreover, breathe scored 71.1 (SD 18.9) on the System Usability Scale. Overall, 123 patients had complete usage analytics datasets. The platform sent 7.96 reminder emails per patient per week (pppw), patients accessed breathe 3.08 times, journaled symptoms 2.56 times, reported medication usage 0.30 times, and reported peak flow measurements 0.92 times pppw. Furthermore, breathe calculated patients’ action plan zone of control 2.72 times pppw, with patients being in the green (well-controlled) zone in 47.71% (8300/17,396) of the total calculations. Usage analysis showed that 67.5% (83/123) of the participants used the app at week 4 and only 57.7% (71/123) by week 45. Physician visits, email reminders, and aged 50 years and above were associated with higher utilization. CONCLUSIONS Individuals with asthma reported good usability and high satisfaction levels, reacted to breathe notifications, and had confidence in the platform’s assessment of asthma control. Strong utilization was seen at the intervention’s initiation, followed by a rapid reduction in use. Patient reminders, physician visits, and being aged 50 years and above were associated with higher utilization. CLINICALTRIAL ClinicalTrials.gov NCT01964469; https://clinicaltrials.gov/ct2/show/NCT01964469

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