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Article ; Online: The Use of Digital Health in the Detection and Management of COVID-19.

Alwashmi, Meshari F

International journal of environmental research and public health

2020 Volume 17, Issue 8

Abstract: Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data- ... ...

Abstract	Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.
MeSH term(s)	Betacoronavirus ; Biomedical Technology/trends ; COVID-19 ; Contact Tracing ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/therapy ; Disease Outbreaks/prevention & control ; Health Personnel ; Humans ; Mass Screening/methods ; Mobile Applications ; Monitoring, Physiologic ; Pandemics/prevention & control ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/therapy ; Population Surveillance/methods ; SARS-CoV-2 ; Software ; Telemedicine ; Triage
Keywords	covid19
Language	English
Publishing date	2020-04-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph17082906
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: The Use of Digital Health in the Detection and Management of COVID-19

Meshari F. Alwashmi

International Journal of Environmental Research and Public Health ; Volume 17 ; Issue 8

2020

Abstract	Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.
Keywords	digital health ; mHealth ; infectious disease ; COVID-19 ; covid19
Language	English
Publishing date	2020-04-23
Publisher	Multidisciplinary Digital Publishing Institute
Publishing country	ch
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Use of Digital Health in the Detection and Management of COVID-19

Meshari F. Alwashmi

International Journal of Environmental Research and Public Health, Vol 17, Iss 2906, p

2020 Volume 2906

Abstract	Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.
Keywords	digital health ; mHealth ; infectious disease ; COVID-19 ; Medicine ; R
Language	English
Publishing date	2020-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: The Use of Digital Health in the Detection and Management of COVID-19

Alwashmi, Meshari F

Int. j. environ. res. public health (Online)

Abstract	Digital health is uniquely positioned to enhance the way we detect and manage infectious diseases. This commentary explores the potential of implementing digital technologies that can be used at different stages of the COVID-19 outbreak, including data-driven disease surveillance, screening, triage, diagnosis, and monitoring. Methods that could potentially reduce the exposure of healthcare providers to the virus are also discussed.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #108755
Database	COVID19

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Article ; Online: A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis.

Batten, Ryan / Alwashmi, Meshari F / Mugford, Gerald / Nuccio, Misa / Besner, Angele / Gao, Zhiwei

JMIR diabetes

2022 Volume 7, Issue 1, Page(s) e23243

Abstract: Background: The prevalence of diabetes is increasing rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications that can prevent or delay the onset of type 2 diabetes among individuals at ... ...

Abstract	Background: The prevalence of diabetes is increasing rapidly. Previous research has demonstrated the efficacy of a diabetes prevention program (DPP) in lifestyle modifications that can prevent or delay the onset of type 2 diabetes among individuals at risk. Digital DPPs have the potential to use technology, in conjunction with behavior change science, to prevent prediabetes on a national and global scale. Objective: The aim of this study is to investigate the effects of a digital DPP (Virgin Pulse [VP] Transform for Prediabetes) on weight and physical activity among participants who had completed 12 months of the program. Methods: This study was a secondary analysis of retrospective data of adults with prediabetes who were enrolled in VP Transform for Prediabetes for 12 months of the program. The program incorporates interactive mobile computing, remote monitoring, an evidence-based curriculum, behavior tracking tools, health coaching, and online peer support to prevent or delay the onset of type 2 diabetes. Results: The sample (N=1095) was comprised of people with prediabetes who completed at least 9 months of the VP Transform for Prediabetes program. Participants were 67.7% (n=741) female, with a mean age of 53.6 (SD 9.75) years. After 12 months, participants decreased their weight by an average of 10.9 lbs (5.5%; P<.001) and increased their physical activity by 91.2 (P<.001) minutes. Conclusions: These results suggest that VP Transform for Prediabetes is effective at preventing type 2 diabetes through a significant reduction in body weight and increase of physical activity. Furthermore, these results suggest that the DPP remains effective 12 months after beginning the program. A prospective randomized controlled clinical study is warranted to validate these findings.
Language	English
Publishing date	2022-01-14
Publishing country	Canada
Document type	Journal Article
ISSN	2371-4379
ISSN (online)	2371-4379
DOI	10.2196/23243
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Usability Testing of a Digital Assessment Routing Tool: Protocol for an Iterative Convergent Mixed Methods Study.

Lowe, Cabella / Hanuman Sing, Harry / Browne, Mitchell / Alwashmi, Meshari F / Marsh, William / Morrissey, Dylan

JMIR research protocols

2021 Volume 10, Issue 5, Page(s) e27205

Abstract: Background: Musculoskeletal conditions account for 16% of global disability, resulting in a negative effect on millions of patients and an increasing burden on health care utilization. Digital technologies that improve health care outcomes and ... ...

Abstract	Background: Musculoskeletal conditions account for 16% of global disability, resulting in a negative effect on millions of patients and an increasing burden on health care utilization. Digital technologies that improve health care outcomes and efficiency are considered a priority; however, innovations are often inadequately developed and poorly adopted. Further, they are rarely tested with sufficient rigor in clinical trials-the gold standard for clinical proof of efficacy. We have developed a new musculoskeletal Digital Assessment Routing Tool (DART) that allows users to self-assess and be directed to the right care. DART requires usability testing in preparation for clinical trials. Objective: This study will use the iterative convergent mixed methods design to assess and mitigate all serious usability issues to optimize user experience and adoption. Using this methodology, we will provide justifiable confidence to progress to full-scale randomized controlled trials when DART is integrated into clinical management pathways. This study protocol will provide a blueprint for future usability studies of mobile health solutions. Methods: We will collect qualitative and quantitative data from 20-30 participants aged 18 years and older for 4 months. The exact number of participants recruited will be dependent on the number of iterative cycles required to reach the study end points. Building on previous internal testing and stakeholder involvement, quantitative data collection is defined by the constructs within the ISO 9241-210-2019 standard and the system usability scale, providing a usability score for DART. Guided by the participant responses to quantitative questioning, the researcher will focus the qualitative data collection on specific usability problems. These will then be graded to provide the rationale for further DART system improvements throughout the iterative cycles. Results: This study received approval from the Queen Mary University of London Ethics of Research Committee (QMREC2018/48/048) on June 4, 2020. At manuscript submission, study recruitment was on-going, with data collection to be completed and results published in 2021. Conclusions: This study will provide evidence concerning mobile health DART system usability and acceptance determining system improvements required to support user adoption and minimize suboptimal system usability as a potential confounder within subsequent noninferiority clinical trials. Success should produce a safe effective system with excellent usability, facilitating quicker and easier patient access to appropriate care while reducing the burden on primary and secondary care musculoskeletal services. This deliberately rigorous approach to mobile health innovation could be used as a guide for other developers of similar apps. International registered report identifier (irrid): DERR1-10.2196/27205.
Language	English
Publishing date	2021-05-18
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2719222-2
ISSN	1929-0748
ISSN	1929-0748
DOI	10.2196/27205
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis.

Alwashmi, Meshari F / Mugford, Gerald / Abu-Ashour, Waseem / Nuccio, Misa

JMIR diabetes

2019 Volume 4, Issue 3, Page(s) e13904

Abstract: Background: The prevalence of diabetes is increasing among adults globally. Research has demonstrated that a diabetes prevention program (DPP), which focuses on developing and maintaining health-promoting lifestyle modifications, can prevent or delay ... ...

Abstract	Background: The prevalence of diabetes is increasing among adults globally. Research has demonstrated that a diabetes prevention program (DPP), which focuses on developing and maintaining health-promoting lifestyle modifications, can prevent or delay the onset of type 2 diabetes among at-risk individuals. The implementation of a digitally adapted DPP has the potential to prevent prediabetes on a national and global scale by using technology and behavior change science. Objective: This study aimed to investigate the effects of a novel digital therapeutic DPP (Transform) on weight loss, body mass index (BMI), exercise frequency, and work absenteeism. Methods: This study was a secondary analysis of retrospective data of adults with prediabetes who were enrolled in the Transform DPP from December 2016 to December 2017. The program incorporates interactive mobile computing, remote monitoring, an evidence-based curriculum, behavior tracking tools, health coaching, and online peer support to prevent or delay the onset of type 2 diabetes. The analysis included data that were collected at baseline and after 4 months of the Transform DPP. Results: The sample (N=273) comprised people with prediabetes who completed 4 months of the Transform program. Participants included 70.3% women, with a mean age of 54.0 (SD 11.2) years. On average, participants decreased their weight by 13.3 lbs (6.5%) and their BMI by 1.9 kg/m Conclusions: These results suggest that the digital therapeutic DPP (Transform) is effective at preventing type 2 diabetes through a significant reduction in body weight and an increase of physical activity. A prospective, controlled clinical study is warranted to validate these findings.
Language	English
Publishing date	2019-07-26
Publishing country	Canada
Document type	Journal Article
ISSN	2371-4379
ISSN (online)	2371-4379
DOI	10.2196/13904
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: The Iterative Convergent Design for Mobile Health Usability Testing: Mixed Methods Approach.

Alwashmi, Meshari F / Hawboldt, John / Davis, Erin / Fetters, Michael D

JMIR mHealth and uHealth

2019 Volume 7, Issue 4, Page(s) e11656

Abstract: Although patients express an interest in using mobile health (mHealth) interventions to manage their health and chronic conditions, many current mHealth interventions are difficult to use. Usability testing is critical for the success of novel mHealth ... ...

Abstract	Although patients express an interest in using mobile health (mHealth) interventions to manage their health and chronic conditions, many current mHealth interventions are difficult to use. Usability testing is critical for the success of novel mHealth interventions. Researchers recognize the utility of using qualitative and quantitative approaches for usability testing, but many mHealth researchers lack the awareness of integration approaches from advances in mixed methods research that can add value to mHealth technology. As efficient usability testing proceeds iteratively, we introduce a novel mixed methods design developed specifically for mHealth researchers. The iterative convergent mixed methods design involves simultaneous qualitative and quantitative data collection and analysis that continues cyclically through multiple rounds of mixed methods data collection and analysis until the mHealth technology under evaluation is found to work to the satisfaction of the researcher. In cyclical iterations, early development is more qualitatively driven but progressively becomes more quantitatively driven. Using this design, mHealth researchers can leverage mixed methods integration procedures in the research question, data collection, data analysis, interpretation, and dissemination dimensions. This study demonstrates how the iterative convergent mixed methods design provides a novel framework for generating unique insights into multifaceted phenomena impacting mHealth usability. Understanding these practices can help developers and researchers leverage the strengths of an integrated mixed methods design.
MeSH term(s)	Humans ; Technology Assessment, Biomedical/methods ; Technology Assessment, Biomedical/trends ; Telemedicine/methods ; Telemedicine/standards ; Universal Design/standards ; User-Computer Interface
Language	English
Publishing date	2019-04-26
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2719220-9
ISSN	2291-5222
ISSN	2291-5222
DOI	10.2196/11656
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Features of a mobile health intervention to manage chronic obstructive pulmonary disease: a qualitative study.

Alwashmi, Meshari F / Fitzpatrick, Beverly / Davis, Erin / Farrell, Jamie / Gamble, John-Michael / Hawboldt, John

Therapeutic advances in respiratory disease

2020 Volume 14, Page(s) 1753466620951044

Abstract: Background: The use of mobile health (mHealth) interventions has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes. Further research is needed to determine which mHealth features are required to potentially enhance ...

Abstract	Background: The use of mobile health (mHealth) interventions has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes. Further research is needed to determine which mHealth features are required to potentially enhance COPD self-management. Aim: The aim of this study was to explore the potential features of an mHealth intervention for COPD management with healthcare providers (HCPs) and patients with COPD. It could inform the development and successful implementation of mHealth interventions for COPD management. Methods: This was a qualitative study. We conducted semi-structured individual interviews with HCPs, including nurses, pharmacists and physicians who work directly with patients with COPD. Interviews were also conducted with a diverse sample of patients with COPD. Interview topics included demographics, mHealth usage, the potential use of medical devices and recommendations for features that would enhance an mHealth intervention for COPD management. Results: A total of 40 people, including nurses, physicians and pharmacists, participated. The main recommendations for the proposed mHealth intervention were categorised into two categories: patient interface and HCP interface. The prevalent features suggested for the patient interface include educating patients, collecting baseline data, collecting subjective data, collecting objective data Conclusion: This study identifies important potential features so that the most effective, efficient and feasible mHealth intervention can be developed to improve the management of COPD.The reviews of this paper are available via the supplemental material section.
MeSH term(s)	Aged ; Aged, 80 and over ; Attitude of Health Personnel ; Attitude to Computers ; Communication ; Delivery of Health Care, Integrated ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Interviews as Topic ; Male ; Middle Aged ; Patient Care Team ; Patient Education as Topic ; Patient Satisfaction ; Physician-Patient Relations ; Pulmonary Disease, Chronic Obstructive/diagnosis ; Pulmonary Disease, Chronic Obstructive/physiopathology ; Pulmonary Disease, Chronic Obstructive/therapy ; Qualitative Research ; Telemedicine ; User-Computer Interface
Keywords	covid19
Language	English
Publishing date	2020-09-07
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2476459-0
ISSN	1753-4666 ; 1753-4658
ISSN (online)	1753-4666
ISSN	1753-4658
DOI	10.1177/1753466620951044
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Perceptions of Health Care Providers Regarding a Mobile Health Intervention to Manage Chronic Obstructive Pulmonary Disease: Qualitative Study.

Alwashmi, Meshari F / Fitzpatrick, Beverly / Davis, Erin / Gamble, John-Michael / Farrell, Jamie / Hawboldt, John

JMIR mHealth and uHealth

2019 Volume 7, Issue 6, Page(s) e13950

Abstract: Background: Using a mobile health (mHealth) intervention, consisting of a smartphone and compatible medical device, has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes while mitigating health care costs.: ... ...

Abstract	Background: Using a mobile health (mHealth) intervention, consisting of a smartphone and compatible medical device, has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes while mitigating health care costs. Objective: The aim of this study was to explore the potential facilitators and barriers among health care providers (HCPs) regarding the use of mHealth interventions for COPD management. Methods: This was a qualitative study. Semistructured individual interviews were conducted with HCPs, including nurses, pharmacists, and physicians who work directly with patients with COPD. A flexible prompts guide was used to facilitate discussions. Interview topics included the following: demographics, mHealth usage, perceptions toward challenges of mHealth adoption, factors facilitating mHealth adoption, and preferences regarding features of the mHealth intervention for COPD management. Interviews were conversational in nature, and items were not asked verbatim or in the order presented. The interviews were transcribed verbatim and compared against the digital recordings to ensure the accuracy of the content. After creating a codebook for analysis, 2 researchers independently coded the remaining interview data using pattern coding. They discussed commonalities and differences in coding until a consensus was reached. Results: A total of 30 nurses, physicians, and pharmacists participated. The main facilitators to mHealth adoption are possible health benefits for patients, ease of use, educating patients and their HCPs, credibility, and reducing cost to the health care system. Alternatively, the barriers to adoption are technical issues, privacy and confidentiality issues, lack of awareness, potential limited uptake from the elderly, potential limited connection between patients and HCPs, and finances. Conclusions: It is important to understand the perceptions of HCPs regarding the adoption of innovative mHealth interventions for COPD management. This study identifies some potential facilitators and barriers that may inform the successful development and implementation of mHealth interventions for COPD management.
MeSH term(s)	Adult ; Disease Management ; Female ; Focus Groups/methods ; Health Personnel/psychology ; Health Personnel/statistics & numerical data ; Humans ; Interviews as Topic/methods ; Male ; Middle Aged ; Newfoundland and Labrador ; Perception ; Pulmonary Disease, Chronic Obstructive/psychology ; Pulmonary Disease, Chronic Obstructive/therapy ; Qualitative Research ; Telemedicine/methods ; Telemedicine/standards ; Telemedicine/statistics & numerical data
Language	English
Publishing date	2019-06-10
Publishing country	Canada
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2719220-9
ISSN	2291-5222
ISSN	2291-5222
DOI	10.2196/13950
Database	MEDical Literature Analysis and Retrieval System OnLINE

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