How Do Smart Device Apps for Diabetes Self-Management Correspond with Theoretical Indicators of Empowerment? An Analysis of App Features

Brew‐Sam, Nicola; Chib, Arul

doi:10.1017/s0266462319000163

Cited by 17 publications

(13 citation statements)

References 88 publications

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“…These three groups comprise 97% of Singaporeans [ 89 ]. Finally, triangulation of the study findings with results on diabetes app features and quality [ 4 , 5 ] was not undertaken here due to length limitations.…”

Section: Discussionmentioning

confidence: 99%

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Differential influences of social support on app use for diabetes self-management – a mixed methods approach

Brew‐Sam

Chib

Rossmann

2020

BMC Med Inform Decis Mak

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Background: Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as a means for delivering social support, this paper argues that social support has an impact on the use of diabetes mHealth apps. Specifically, we postulate differences between the impact of healthcare professional versus nonprofessional (family/friends) support on mobile app use for diabetes self-management. Methods: This research employed a triangulation of methods including exploratory semi-structured face-to-face interviews (N = 21, Study 1) and an online survey (N = 65, Study 2) with adult type 1 and type 2 diabetes patients. Thematic analysis (Study 1) was used to explore the relevance of social support (by professionals versus nonprofessionals) for diabetes app use. Binary logistic regression (Study 2) was applied to compare healthcare decisionmaking, healthcare-patient communication, and the support by the personal patient network as predictors of diabetes app use, complemented by other predictors from self-management and technology adoption theory. Results: The interviews (Study 1) demonstrated that (technology-supported) shared decision-making and supportive communication by healthcare professionals depended on their medical specialty. The personal patient network was perceived as either facilitating or hindering the use of mHealth for self-management. Binary logistic regression (Study 2) showed that the physician specialty significantly predicted the use of diabetes apps, with supervision by diabetes specialists increasing the likelihood of app use (as opposed to general practitioners). Additionally, specialist care positively related to a higher chance of shared decision-making and better physicianpatient communication. The support by the personal patient network predicted diabetes app use in the opposite direction, with less family/friend support increasing the likelihood of app use. Conclusion: The results emphasize the relevance of support by healthcare professionals and by the patient network for diabetes app use and disclose differences from the existing literature. In particular, the use of diabetes apps may increase in the absence of social support by family or friends (e.g., compensation for lack of support), and may decrease when such support is high (e.g., no perceived need to use technology).

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Section: Discussionmentioning

confidence: 99%

“…In particular, we identify and examine the varied influence of support by healthcare professionals and by the personal social patient network on the use of diabetes self-management apps. A separate study conducted on diabetes app quality and app features, as factors of interest, has been reported elsewhere [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Differential influences of social support on app use for diabetes self-management – a mixed methods approach

Brew‐Sam

Chib

Rossmann

2020

BMC Med Inform Decis Mak

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“…Cabe mencionar que existe una plataforma llamada Social Diabetes® 12 , que está diseñada específicamente para pacientes que viven con diabetes, y que cuenta además con una calculadora de bolo, para aquellos pacientes que se encuentran con esquema basalbolo de insulina y realizan conteo de carbohidratos.…”

Section: Plataformas Para Telemedicinaunclassified

La pandemia de COVID-19 ha impulsado el manejo de la diabetes vía telemedicina

Faradji-Hazán¹,

Madrigal-Sanromán²,

Maza-Viadero³

et al. 2020

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La pandemia por enfermedad por coronavirus 2019 (COVID-19) ha venido a cambiar radicalmente la atención médica. La diabetes se ha identificado como factor de riesgo que aumenta la mortalidad, pero un buen control glucémico (glucosa entre 70 y 180 mg/dl) se asocia con disminución significativa de la gravedad de la enfermedad y la mortalidad. Las personas que viven con diabetes deben mantener aislamiento físico y al mismo tiempo su seguimiento médico, mejorando su control glucémico para disminuir riesgos. Es por esto que la atención médica a distancia es tan importante en estos momentos. La telemedicina interactiva permite a médicos y pacientes comunicarse en tiempo real, por medio de una videoconferencia. Esto ha sido posible gracias al uso difundido de expedientes médicos electrónicos y de teléfonos inteligentes en la población. La endocrinología, y en específico la diabetología, son especialidades ampliamente compatibles para el manejo con telemedicina. En este artículo se describe la historia de la telemedicina, su actualidad, en qué consiste y qué plataformas existen para su aplicación, qué pasos se deben seguir en una teleconsulta, ventajas y desventajas, su aplicación en pacientes con posible COVID-19, la evidencia científica del uso de la telemedicina en el manejo de la diabetes y el marco legal de ésta.

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“…In particular, we identify and examine the varied in uence of support by healthcare professionals and by the personal social patient network on the use of diabetes self-management apps. A separate study conducted on diabetes app quality and app features, as factors of interest, has been reported elsewhere (4,5).…”

Section: Introductionmentioning

confidence: 99%

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

Brew‐Sam

Chib²,

Rossmann

2020

Preprint

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Background Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as a means for delivering social support, this paper argues that social support has an impact on the use of diabetes mHealth apps. Specifically, we postulate differences between the impact of healthcare professional versus non-professional (family/friends) support on mobile app use for diabetes self-management.Methods This research employed a triangulation of methods including exploratory semi-structured face-to-face interviews (N= 21, Study 1) and an online survey (N= 65, Study 2) with adult type 1 and type 2 diabetes patients. Thematic analysis (Study 1) was used to explore the relevance of social support (by professionals versus non-professionals) for diabetes app use. Binary logistic regression (Study 2) was applied to compare healthcare decision-making, healthcare-patient communication, and the support by the personal patient network as predictors of diabetes app use, complemented by other predictors from self-management and technology adoption theory.Results The interviews (Study 1) demonstrated that (technology-supported) shared decision-making and supportive communication by healthcare professionals depended on their medical specialty. The personal patient network was perceived as either facilitating or hindering the use of mHealth for self-management. Binary logistic regression (Study 2) showed that the physician specialty significantly predicted the use of diabetes apps, with supervision by diabetes specialists increasing the likelihood of app use (as opposed to general practitioners). Additionally, specialist care positively related to a higher chance of shared decision-making and better physician-patient communication. The support by the personal patient network predicted diabetes app use in the opposite direction, with less family/friend support increasing the likelihood of app use.Conclusion The results emphasize the relevance of support by healthcare professionals and by the patient network for diabetes app use and disclose differences from the existing literatureThe use of diabetes apps may increase in the absence of social support by family or friends (e.g., compensation for lack of support), and that use of diabetes apps may decrease when such support is high (e.g., no perceived need to use technology).

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How Do Smart Device Apps for Diabetes Self-Management Correspond with Theoretical Indicators of Empowerment? An Analysis of App Features

Cited by 17 publications

References 88 publications

Differential influences of social support on app use for diabetes self-management – a mixed methods approach

Differential influences of social support on app use for diabetes self-management – a mixed methods approach

La pandemia de COVID-19 ha impulsado el manejo de la diabetes vía telemedicina

Differential Influences of Social Support on App Use for Diabetes Self-Management – a Mixed Methods Approach

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