scholarly journals How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

2020 ◽  
Author(s):  
Meghan Bradway ◽  
Rebecca L Morris ◽  
Alain Giordanengo ◽  
Eirik Årsand
Keyword(s):  
Data Sharing ◽  
Healthcare Providers ◽  
End Users ◽  
Self Management ◽  
Afternoon Session ◽  
Data Types ◽  
Full Effect ◽  
Joint Workshop ◽  
Management Recommendations

Abstract Background: Individuals with diabetes are using mobile health (mHealth) to make and track their decisions regarding self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system. Methods: The first workshop (2017) included patients with Type 2 Diabetes (T2D) (n=4) and general practitioners (GPs) (n=3). The second workshop (2018) included patients with Type 1 Diabetes (T1D) (n=5), diabetes specialists (n=2) and a nurse. The workshops involved two sessions: separate morning sessions for patients and healthcare providers (HCPs), followed by a joint lunch and afternoon session for all participants together. A discussion guide was used to gather input regarding end-users’ expectations for the system. Participants then created and explained their own ideas for a data-sharing system, using paper-prototypes. Workshops were audio recorded, transcribed and translated from Norwegian to English. Inductive thematic analysis was performed. Results: The main emergent themes were mHealth technologies’ impacts on end-users, and functionalities of a data-sharing system. Patients and providers agreed that PGD could be used by HCPs to provide more concrete self-management recommendations. Participants made paper-prototypes to explain which data types to gather and display, and how the systems could be used to facilitate shared-decision making. However, all also agreed that a data-sharing system alone was not enough to achieve the full effect of mHealth. Conclusion: Participants’ feedback revealed that both patients and HCPs alike acknowledge that for mHealth integration to be successful, not only must the technology be validated but feasible changes throughout the healthcare education and practice must be addressed. Only then can both sides be adequately prepared for mHealth data-sharing in diabetes consultations. Subsequently, the design of the joint workshop sessions demonstrated that involving both participant groups in the same sessions led to efficient and concrete discussions about realistic solutions and limitations of sharing mHealth data in consultations.

scholarly journals How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

2019 ◽  
Author(s):  
Meghan Bradway ◽  
Rebecca L Morris ◽  
Alain Giordanengo ◽  
Eirik Årsand
Keyword(s):  
Data Sharing ◽  
Healthcare Providers ◽  
End Users ◽  
Self Management ◽  
Afternoon Session ◽  
Health Care Education ◽  
Data Types ◽  
Full Effect ◽  
Management Recommendations

Abstract Background Individuals with diabetes are using mobile health (mHealth) to make decisions regarding self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system.Methods The first workshop (2017) included patients with Type 2 Diabetes (T2D) (n=4) and general practitioners (GPs) (n=3). The second workshop (2018) included patients with Type 1 Diabetes (T1D) (n=5), diabetes specialists (n=2) and a nurse. The workshops involved two sessions: separate morning sessions for patients and healthcare providers (HCPs), followed by a joint lunch and afternoon session for all participants together. A discussion guide was used to gather input regarding end-users’ expectations for the system. Participants then created and explained their own ideas for a data-sharing system, using paper-prototypes. Workshops were audio recorded, transcribed and translated from Norwegian to English. Inductive thematic analysis was performed.Results The main emergent themes were mHealth technologies’ impacts on end-users, and functionalities of a data-sharing system. Patients and providers agreed that PGD could be used by HCPs to provide more concrete self-management recommendations. Participants made paper-prototypes to explain which data types to gather and display, and how the systems could be used to facilitate shared-decision making. However, all also agreed that a data-sharing system alone was not enough to achieve the full effect of mHealth.Conclusion While seemingly contradictory, these results revealed that by bringing both together in the joint sessions, they were also able to equally elaborate their understanding of realistic limitations and solutions for mHealth integration. These workshops not only demonstrated the value of involving both parties together in co-design, they enabled participants to highlight that mHealth integration requires both validation of the technology as well as research into feasible changes throughout health care education and practice.

scholarly journals How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Meghan Bradway ◽  
Rebecca L. Morris ◽  
Alain Giordanengo ◽  
Eirik Årsand
Keyword(s):  
Data Sharing ◽  
Diabetes Care ◽  
Healthcare Providers ◽  
End Users ◽  
Self Management ◽  
Afternoon Session ◽  
Data Types ◽  
Joint Workshop ◽  
And Performance ◽  
Management Recommendations

Abstract Background Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system. Methods N = 15 participants provided feedback about their experiences and needs in diabetes care and expectations for sharing PGD. The first workshop (2017) included patients with Type 2 Diabetes (T2D) (n = 4) and general practitioners (GPs) (n = 3). The second workshop (2018) included patients with Type 1 Diabetes (T1D) (n = 5), diabetes specialists (n = 2) and a nurse. The workshops involved two sessions: separate morning sessions for patients and healthcare providers (HCPs), and afternoon session for all participants. Discussion guides included questions about end-users’ perceptions of mHealth and expectations for a data-sharing system. Activities included brainstorming and designing paper-prototypes. Workshops were audio recorded, transcribed and translated from Norwegian to English. An abductive approach to thematic analysis was taken. Results Emergent themes were mHealth technologies’ impacts on end-users, and functionalities of a data-sharing system. Within these themes, similarities and differences between those with T1D and T2D, and between HCPs, were revealed. Patients and providers agreed that HCPs could use PGD to provide more concrete self-management recommendations. Participants’ paper-prototypes revealed which data types should be gathered and displayed during consultations, and how this could facilitate shared-decision making. Conclusion The diverse and differentiated results suggests the need for flexible and tailorable systems that allow patients and providers to review summaries, with the option to explore details, and identify an individual’s challenges, together. Participants’ feedback revealed that both patients and HCPs acknowledge that for mHealth integration to be successful, not only must the technology be validated but feasible changes throughout the healthcare education and practice must be addressed. Only then can both sides be adequately prepared for mHealth data-sharing in diabetes consultations. Subsequently, the design and performance of the joint workshop sessions demonstrated that involving both participant groups together led to efficient and concrete discussions about realistic solutions and limitations of sharing mHealth data in consultations.

scholarly journals How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

2020 ◽  
Author(s):  
Meghan Bradway ◽  
Rebecca L Morris ◽  
Alain Giordanengo ◽  
Eirik Årsand
Keyword(s):  
Data Sharing ◽  
Diabetes Care ◽  
Healthcare Providers ◽  
End Users ◽  
Self Management ◽  
Afternoon Session ◽  
Data Types ◽  
Joint Workshop ◽  
And Performance ◽  
Management Recommendations

Abstract Background: Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system. Methods: N=15 participants provided feedback about their experiences and needs in diabetes care and expectations for sharing PGD. The first workshop (2017) included patients with Type 2 Diabetes (T2D) (n=4) and general practitioners (GPs) (n=3). The second workshop (2018) included patients with Type 1 Diabetes (T1D) (n=5), diabetes specialists (n=2) and a nurse. The workshops involved two sessions: separate morning sessions for patients and healthcare providers (HCPs), and afternoon session for all participants. Discussion guides included questions about end-users’ perceptions of mHealth and expectations for a data-sharing system. Activities included brainstorming and designing paper-prototypes. Workshops were audio recorded, transcribed and translated from Norwegian to English. An abductive approach to thematic analysis was taken. Results: Emergent themes were mHealth technologies’ impacts on end-users, and functionalities of a data-sharing system. Within these themes, similarities and differences between those with T1D and T2D, and between HCPs, were revealed. Patients and providers agreed that HCPs could use PGD to provide more concrete self-management recommendations. Participants’ paper-prototypes revealed which data types should be gathered and displayed during consultations, and how this could facilitate shared-decision making. Conclusion: The diverse and differentiated results suggests the need for flexible and tailorable systems that allow patients and providers to review summaries, with the option to explore details, and identify an individual’s challenges, together. Participants’ feedback revealed that both patients and HCPs acknowledge that for mHealth integration to be successful, not only must the technology be validated but feasible changes throughout the healthcare education and practice must be addressed. Only then can both sides be adequately prepared for mHealth data-sharing in diabetes consultations. Subsequently, the design and performance of the joint workshop sessions demonstrated that involving both participant groups together led to efficient and concrete discussions about realistic solutions and limitations of sharing mHealth data in consultations.

scholarly journals How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

2020 ◽  
Author(s):  
Meghan Bradway ◽  
Rebecca L Morris ◽  
Alain Giordanengo ◽  
Eirik Årsand
Keyword(s):  
Data Sharing ◽  
Diabetes Care ◽  
Healthcare Providers ◽  
End Users ◽  
Self Management ◽  
Afternoon Session ◽  
Data Types ◽  
Joint Workshop ◽  
And Performance ◽  
Management Recommendations

Abstract Background: Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about their diabetes by sharing these patient-gathered data (PGD) with health professionals. We conducted experience-based co-design (EBCD) workshops, with the aim of gathering end-users’ needs and expectations for a PGD-sharing system. Methods: N=15 participants provided feedback about their experiences and needs in diabetes care and expectations for sharing PGD. The first workshop (2017) included patients with Type 2 Diabetes (T2D) (n=4) and general practitioners (GPs) (n=3). The second workshop (2018) included patients with Type 1 Diabetes (T1D) (n=5), diabetes specialists (n=2) and a nurse. The workshops involved two sessions: separate morning sessions for patients and healthcare providers (HCPs), and afternoon session for all participants. Discussion guides included questions about end-users’ perceptions of mHealth and expectations for a data-sharing system. Activities included brainstorming and designing paper-prototypes. Workshops were audio recorded, transcribed and translated from Norwegian to English. An abductive approach to thematic analysis was taken. Results: Emergent themes were mHealth technologies’ impacts on end-users, and functionalities of a data-sharing system. Within these themes, similarities and differences between those with T1D and T2D, and between HCPs, were revealed. Patients and providers agreed that HCPs could use PGD to provide more concrete self-management recommendations. Participants’ paper-prototypes revealed which data types should be gathered and displayed during consultations, and how this could facilitate shared-decision making. Conclusion: The diverse and differentiated results suggests the need for flexible and tailorable systems that allow patients and providers to review summaries, with the option to explore details, and identify an individual’s challenges, together. Participants’ feedback revealed that both patients and HCPs acknowledge that for mHealth integration to be successful, not only must the technology be validated but feasible changes throughout the healthcare education and practice must be addressed. Only then can both sides be adequately prepared for mHealth data-sharing in diabetes consultations. Subsequently, the design and performance of the joint workshop sessions demonstrated that involving both participant groups together led to efficient and concrete discussions about realistic solutions and limitations of sharing mHealth data in consultations.

scholarly journals Perspectives from Underserved African Americans and their Healthcare Providers on the Development of a Diabetes Self-Management Smartphone Application: Exploratory Study (Preprint)

2020 ◽  
Author(s):  
Tai Barber-Gumbs ◽  
Ylva Trolle Lagerros ◽  
Laura M. Sena ◽  
Joel Gittelsohn ◽  
Larry W. Chang ◽  
...  
Keyword(s):  
African American ◽  
African Americans ◽  
Low Income ◽  
Diabetes Education ◽  
Healthcare Providers ◽  
Smartphone Application ◽  
Self Management ◽  
The Us ◽  
Management Recommendations ◽  
P Type

BACKGROUND Type 2 diabetes mellitus (T2DM) affects ~10% of the US population, disproportionately affecting African Americans. Smartphone applications (apps) have emerged as promising tools to improve diabetes self-management, yet little is known about the use of this approach in low-income minority communities. OBJECTIVE The goal of the study was to explore which features of an app were prioritized for people with T2DM in a low-income African-American community. METHODS Between February 2016 and May 2018, we conducted formative qualitative research with 78 participants to explore how a smartphone app could be used to improve diabetes self-management. Information was gathered on desired features and app mockups were presented to receive comments and suggestions of improvements from smartphone users with prediabetes/T2DM, their friends and family members, and healthcare providers (in 6 interactive forums, 1 focus group and 15 in-depth interviews). We carried out thematic data analysis using an inductive approach. RESULTS All three types of participants reported that difficulties with access to healthcare was a main problem and suggested that an app could help address this. Participants also indicated that an app could provide information for diabetes education and self-management. Other suggestions included that the app should allow people with T2DM to log and track diabetes care-related behaviors and receive feedback on their progress in a way that would increase a person with T2DM’s engagement in self-management. CONCLUSIONS We identified educational and tracking smartphone features that can guide development of diabetes self-management apps for a low-income African-American population. Considering those features in combination gives rise to opportunities for more advanced support, such as determining self-management recommendations based on data in user's logs. CLINICALTRIAL

scholarly journals Patients and clinicians’ vision of a future Internet-of-things (IoT) systems to support asthma self-management: a mixed method study from the A4A+ group (Preprint)

2020 ◽  
Author(s):  
Chi Yan Hui ◽  
Hilary Pinnock ◽  
Brian McKinstry ◽  
Olivia Fulton ◽  
Mark Buchner
Keyword(s):  
Internet Of Things ◽  
Weight Control ◽  
Healthcare Providers ◽  
Future Internet ◽  
Community Services ◽  
Living Environment ◽  
Self Management ◽  
Data Types ◽  
Online Questionnaire ◽  
The Uk

BACKGROUND Supported self-management for asthma reduces acute attacks and improves control. The Internet-of-Things (IoT) could connect patients to their healthcare providers, the community services and their living environment to provide over-arching support for self-management. OBJECTIVE We aimed to identify patients’ and clinicians’ preferences for a future IoT system and explore their vision of its potential to support holistic self-management. METHODS We recruited patients from volunteer databases and charities’ social media. We purposively sampled participants for interviews about their vision of the design and utility of the IoT as a future strategy for supporting self-management; other respondents completed an online questionnaire about the features they wanted. Clinicians were recruited from professional networks. Interviews were transcribed and analysed thematically with reference to the PRISMS self-management taxonomy. RESULTS We interviewed twelve patients and twelve clinicians in the UK. 140 patients completed the questionnaires. Patients mostly wanted the system to log their asthma automatically and provide real-time advice to help them learn about their asthma, identify and avoid triggers and to advise on treatment adjustment and other actions. Peak flow (23.6%), environmental (pollen, humidity/air temperature) (23.6%), and asthma symptoms (17.9%) were the top three data types that patients most wanted. Information about asthma and text/email access to clinical advice, provided a feeling of ‘safety’ for patients. Clinicians wanted automated, objective logs about patients’ conditions that they could access during consultations. The potential reduction in face-to-face consultations was appreciated by clinicians, potentially saving patients’ travel time and health service resources. Lifestyle logs of fitness regimes or weight control were valued by some patients, though of less interest to clinicians. CONCLUSIONS An IoT system can address the range of components needed to support self-management for people with asthma. An automated IoT system requiring minimal input from the user could improve health outcomes and potentially conserve healthcare resources.

817-P: Financial Stress Factors, Psychological Factors, and Self-Management Outcomes in Emerging Adults with Type 1 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 817-P
Author(s):  
JULIA E. BLANCHETTE ◽  
VALERIE B. TOLY ◽  
JAMIE R. WOOD ◽  
CAROL M. MUSIL ◽  
DIANA L. MORRIS ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Emerging Adults ◽  
Psychological Factors ◽  
Financial Stress ◽  
Stress Factors ◽  
Self Management
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