Adolescents’ participation in their healthcare: A sociomaterial investigation of a diabetes app

Ledderer, Loni; Møller, Anne; Fage-Butler, Antoinette

doi:10.1177/2055207619845448

Cited by 14 publications

(12 citation statements)

References 51 publications

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“…If the application can collect data automatically and promptly without users’ frequent input, and be compatible with other devices and platforms (e.g., blood glucose-related applications and blood glucose monitors (or blood glucose pumps) [ 52 ], mobile phones and tablet computers, and Apple and Android systems [ 6 ]), it will enhance the use efficiency and affect the degree of user utilization and the willingness to use it continuously [ 50 ]. However, healthcare practitioners believe that heavy offline workloads restrict their time and effort to learn, adapt to, and use the application, even if they approve of it [ 53 ].…”

Section: Resultsmentioning

confidence: 99%

Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review

Wang

2021

Healthcare

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Purpose/Significance: Mobile health applications provide a convenient way for users to obtain health information and services. Studying the factors that influence users’ acceptance and use of mobile health applications (apps or Apps) will help to improve users’ actual usage behavior. Method/Process: Based on the literature review method and using the Web of Science core database as the data source, this paper summarizes the relevant research results regarding the influencing factors of the acceptance and use behavior of mobile health application users and makes a systematic review of the influencing factors from the perspectives of the individual, society, and application (app or App) design. Result/Conclusion: In terms of the individual dimension, the users’ behavior is influenced by demographic characteristics and motivations. Social attributes, source credibility, and legal issues all affect user behavior in the social dimension. In the application design dimension, functionality, perceived ease of use and usefulness, security, and cost are the main factors. At the end of the paper, suggestions are given to improve the users’ acceptability of mobile health applications and improve their use behavior.

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Section: Resultsmentioning

confidence: 99%

Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review

Wang

2021

Healthcare

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“…Furthermore, this is not only an issue in the case of complex chronic conditions such as spinal cord injury, but it can also be relevant for chronic conditions with relatively more straightforward self-management requirements, such as diabetes. For instance, in their study about a diabetes self-management app for adolescents, Ledderer, Møller and Fage-Butler (2019) showed how sometimes barriers to its use were due to there being an incompatibility between the app and how the adolescents wanted to live their lives. For example, some adolescents in the study reported preferring to spend time outside with friends or interacting on social media rather than typing in blood glucose measurements in the app.…”

Section: The Missing Existential Perspective and The Lack Of Integrat...mentioning

confidence: 99%

Self-management of complex chronic conditions: Recommendations for qualitative health communication research

Diviani

Rubinelli

2022

QHC

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Background: Chronic conditions are on the rise worldwide, urging researchers to increase efforts to develop tailored self-management interventions. Theories and findings from health communication hold great potential to inform these developments, provided that the main current challenges in the field are adequately addressed. Aim: To recommend targets for research in health communication, focusing on qualitative methods, in the field of self-management of (complex) chronic conditions. Methods: A position paper based on a selective review of literature on self-management of chronic health conditions. Findings: To better support the development of tailored self-management programs, health communication research should: i) consider the existential dimension of self-management behavior; ii) recognize and address the fact that we live in an information landscape characterized by information overload and infodemic, and iii) apply qualitative methods to ensure that individuals' perspectives are fully taken into account. Discussion and conclusion: Gaining in-depth qualitative insights into the adjustment process for (complex) chronic health conditions is of mainstream importance for developing tailored communication interventions that can assist newly diagnosed individuals in integrating multiple self-management behaviors in their lives. This holds great potential to improve health outcomes for individuals and to reduce costs for society.

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“…Social app platforms have also been considered for better understanding and treating T1D in youths in their daily lives. For example, a study found that participants wanted to incorporate a social platform in a diabetes decision tool app [288], whereas another study used the Instagram social platform as a tool to collect data about what T1D looks like in daily life [289]. However, it is important to note that youth with T1D could also potentially feel pressured or discouraged by social media if they observe others posting about perfect blood glucose levels if they do not obtain similar readings.…”

Section: Using Smartphone Apps and Phone-based Systems To Improve T1dmentioning

confidence: 99%

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

Ray¹,

McMichael²,

Rivera-Santana³

et al. 2021

JMIR Diabetes

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Type 1 diabetes (T1D) is one of the most common chronic childhood diseases, and its prevalence is rapidly increasing. The management of glucose in T1D is challenging, as youth must consider a myriad of factors when making diabetes care decisions. This task often leads to significant hyperglycemia, hypoglycemia, and glucose variability throughout the day, which have been associated with short- and long-term medical complications. At present, most of what is known about each of these complications and the health behaviors that may lead to them have been uncovered in the clinical setting or in laboratory-based research. However, the tools often used in these settings are limited in their ability to capture the dynamic behaviors, feelings, and physiological changes associated with T1D that fluctuate from moment to moment throughout the day. A better understanding of T1D in daily life could potentially aid in the development of interventions to improve diabetes care and mitigate the negative medical consequences associated with it. Therefore, there is a need to measure repeated, real-time, and real-world features of this disease in youth. This approach is known as ecological momentary assessment (EMA), and it has considerable advantages to in-lab research. Thus, this viewpoint aims to describe EMA tools that have been used to collect data in the daily lives of youth with T1D and discuss studies that explored the nuances of T1D in daily life using these methods. This viewpoint focuses on the following EMA methods: continuous glucose monitoring, actigraphy, ambulatory blood pressure monitoring, personal digital assistants, smartphones, and phone-based systems. The viewpoint also discusses the benefits of using EMA methods to collect important data that might not otherwise be collected in the laboratory and the limitations of each tool, future directions of the field, and possible clinical implications for their use.

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Adolescents’ participation in their healthcare: A sociomaterial investigation of a diabetes app

Cited by 14 publications

References 51 publications

Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review

Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review

Self-management of complex chronic conditions: Recommendations for qualitative health communication research

Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies

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