An exploratory randomised controlled trial using short messaging service to facilitate insulin administration in young adults with type 1 diabetes

Louch, Gemma; Dalkin, Sonia; Bodansky, Jonathan; Conner, Mark

doi:10.1080/13548506.2012.689841

Cited by 32 publications

(62 citation statements)

References 25 publications

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“…Also described in Table 3, the majority of the studies were randomized trials (n=12) 6,8,9,17,18,[21][22][23][27][28][29]31 ; followed by randomized controlled pilot studies (n=3) 7,10,25 ; convenience sample pilot studies (n=2) 1,24 ; quasi experimental (n=1) 30 ; mixed method observation cohort study (n=1) 11 ; and prospective cohort study (n=1) 32 .…”

Section: Methodsmentioning

confidence: 99%

“…Behavior also guided two (n=2) interventions focused on weight loss and diabetes management 7,17 . Sexual Script Theory, Behavioral Determinants Model, Common Sense Model, Self-Regulation Theory, Integrative Model of Behavior Intervention, and the Information Motivation Behavior Model were applied least frequently and focused on studies related to weight loss, HIV risk behavior, sexual risk reduction, and prevention of gestational weight gain 1,8,22,29,31,32 .…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Outside of the US, study locations included Australia (n=3) 7,21,25 , New Zealand (n=2) 1,18 , Netherlands, Canada, United Kingdom, and India 8,17,24,27 . Sample size and gender also varied greatly.…”

Section: Settings and Samplementioning

confidence: 99%

“…Described in Table 4, across all studies, the overarching health behavioral change strategy emphasized self-management, which included the following subtopics: self-monitoring, personalized feedback/tailored messages, social support and networking groups, goal setting, skill building, and health education 1,[6][7][8][9][10][11]17,18,[21][22][23][24][25][27][28][29][30][31][32] . Additional health behavior change strategies applied throughout the interventions emphasized reinforcement though the use of rewards and/or incentives 7,8,24,31 .…”

Section: Behavior Change Strategiesmentioning

confidence: 99%

“…Prior research suggests the necessity of theory-driven mobile-based interventions for long-term adherence to health behavior change 17,18 . Mobile interventions based on theory, "ensures that the intentions and drivers in the development of the intervention are clear and replicable" 18, p. 7 .…”

mentioning

confidence: 99%

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Theory Driven Mobile-Based Interventions: A Scoping Review

Brager¹,

Pinto²,

Kaplin³

2017

JournalMTM

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Background:Mobile technology is a rapidly evolving field allowing healthcare providers to reach patients outside of a traditional face-to-face setting. Fortunately, interventions are now becoming readily available via mobile devices such as mobile phones, smart phones, and tablets, yet there has been little attention to the design of these interventions so that they are theoretically-driven (informed according to a behavioral theory or model) and ethically performed.Objective: To provide data on theoretically-driven interventions that were empirically tested and to analyze the features and strategies used to implement these interventions. Review Methods: This study employed a scoping review methodology according to the Joann BriggsInstitute. An electronic database search yielded 20 eligible articles. Results:The participants spanned various health domains: cardiovascular (weight control, physical activity, diabetes), cancer (pap testing), prenatal care, substance use (alcohol recovery, smoking cessation), and HIV and/or sexual risk assessment. Social Cognitive Theory, Health Belief Model, and Transtheoretical Model were applied most frequently to guide interventions. Conclusion:Future work should focus on the application of theory and how various implementation techniques translate to the overall effectiveness of the intervention. Mobile technologies have extended the physical boundaries of care beyond the traditional healthcare setting through the incorporation of real-time data capture, exchange and personalization of the interventions 4 . Mobile interventions can be used to target key self-management behaviors like medication adherence, adversities, and barriers, which importantly reinforces the patient's role as an active agent in management of their health 5 . Additionally, these interventions can be designed based on evidence-based principles shown to promote health by connecting individuals to receive social support via discussion forums and personalizing interventions to one's individual needs through the use of tailored text messages [6][7][8][9] . Importantly, at a time where the cost of chronic disease is rising, mobile technologies may provide a cost-effective opportunity capable of reaching larger target populations spanning diverse health domains 8,10,11 . Nearly 90% of American adults own a cell phone, and of these individuals, 64% own a smartphone 12 . Since 2011, there has been a 30% increase in ownership of smartphones with nearly 62% of smartphone owners report using their cellphone to seek health information within the past year 13 . In 2015, there were 500 million smartphone users downloading mobile health applications 14 . While increased access to health information and tools for self-management are desired, the majority of these apps have not undergone rigorous trials for efficacy 14 . There has been little attention to the design of these interventions so that they are theoretically-driven (informed and guided by behavioral theories and/or models) and ethically perform (yield the benefit...

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