Internet-based self-management support for adults with asthma: a qualitative study among patients, general practitioners and practice nurses on barriers to implementation

Gaalen, Johanna L. van; Bodegom‐Vos, Leti van; Bakker, Moira J.; Snoeck-Stroband, Jiska B.; Sont, Jacob K.

doi:10.1136/bmjopen-2015-010809

Cited by 18 publications

(16 citation statements)

References 44 publications

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“…The review showed that human factors approaches are nearly always adopted to some extent in the design, development and evaluation of mobile applications. Moreover, an effective implementation strategy for Internet-based self-management support in asthma care should focus on human factor barriers [27]. Overall, clinicians view asthma mHealth technology as supporting the aims of the patient-centred medical home.…”

Section: Human Factors Applied To the Design Development And Evaluatmentioning

confidence: 99%

Realising the potential of mHealth to improve asthma and allergy care: how to shape the future

Bousquet¹,

Chavannes²,

Guldemond³

et al. 2017

Eur Respir J

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Section: Human Factors Applied To the Design Development And Evaluatmentioning

confidence: 99%

Realising the potential of mHealth to improve asthma and allergy care: how to shape the future

Bousquet¹,

Chavannes²,

Guldemond³

et al. 2017

Eur Respir J

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“…These arguments bring up another important point -much attention in mHealth intervention research is placed on the barriers of acceptance and hypothetical facilitators [28][29][30], and less on practical solutions to not only use PGD but moreover to consider services that could support the use of PGD and mHealth.…”

Section: Discussionmentioning

confidence: 99%

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

Bradway

Morris

Giordanengo³

et al. 2020

Preprint

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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.

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“…These arguments bring up another important point -much attention in mHealth intervention research is placed on the barriers of acceptance and hypothetical facilitators [23][24][25], and less on practical solutions to not only use PGD but moreover to consider services that could support the use of PGD and mHealth.…”

Section: Discussionmentioning

confidence: 99%

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

Bradway

Morris

Giordanengo³

et al. 2019

Preprint

View full text Add to dashboard Cite

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.

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Internet-based self-management support for adults with asthma: a qualitative study among patients, general practitioners and practice nurses on barriers to implementation

Cited by 18 publications

References 44 publications

Realising the potential of mHealth to improve asthma and allergy care: how to shape the future

Realising the potential of mHealth to improve asthma and allergy care: how to shape the future

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

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

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