Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

Kirwan, Morwenna; Vandelanotte, Corneel; Fenning, Andrew; Duncan, Mitch J.

doi:10.2196/jmir.2588

Cited by 326 publications

(369 citation statements)

References 62 publications

Supporting

Mentioning

352

Contrasting

Unclassified

Order By: Relevance

“…Moreover, corresponding to the increasing interest in well-being, the use of health-related apps has increased as well [2][3] [4] [5]. In the case of the U.S., 19% of smartphone owners were using health-related apps on smartphones in 2012, and the use of those apps are continuously increasing [6].…”

Section: Introductionmentioning

confidence: 99%

Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory

Cho¹

2015

Journal of Internet Computing and Services

View full text Add to dashboard Cite

This study paid attention to the notable increase of the use of diet/exercise apps on smartphones. Based on channel expansion theory and technology acceptance model (TAM), this study investigated how three predictors-Internet information use efficacy, Internet information credibility, smartphone use efficacy-affected one's attitude toward and intention to use diet/exercise apps. Results from a path analysis indicated that Internet information use efficacy and smartphone use efficacy positively predict the perceived ease of use of diet/exercise apps. Internet information credibility positively predicts the perceived usefulness of such apps. Moreover, there were gender differences in the effects of both Internet information use efficacy and Internet information credibility on the perceived usefulness of diet/exercise apps.

show abstract

Section: Introductionmentioning

confidence: 99%

Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory

Cho¹

2015

Journal of Internet Computing and Services

View full text Add to dashboard Cite

show abstract

“…It collected patient information and send educational SMSs based on the patient data. Despite a significant improvement in HbA1c, the quality of life and self-care activities were not improved [35]. However, it may be noted that the self-care activities and quality of life do not always correlate with HbA1c in type 1 diabetic patients [36].…”

Section: Smartphone Apps For Patient Educationmentioning

confidence: 93%

Novel Health Mobile Technology as an Emerging Strategy in Diabetes Management

David¹,

Rafiullah²

2017

Case Study of Innovative Projects - Successful Real Cases

View full text Add to dashboard Cite

Advances in mobile phone technology and its applications coupled with equally robust growth of telecommunication technology can serve to give patients a better access to the healthcare. More and more healthcare providers and patients started using these applications. Mobile applications are useful in handling various aspects of healthcare namely, health promotion and disease prevention, diagnosis, treatment, monitoring and supporting health services. Clinical studies evaluating mobile applications often come up with mixed results. In this chapter, application of mobile health technology or mHealth in diabetes management is presented as a case study. We have reviewed 25 articles from pubmed database that fulfilled our selection criteria which included original clinical studies that evaluated mobile health technology in the management of diabetes mellitus. Most studies (88%) reported positive outcomes after use of the mobile health applications in various aspects of diabetes treatment such as disease management, behavioural monitoring and patient education. Educational SMS were effective but inferior to Smartphone Apps or teleconsultations. User-friendliness of the systems influenced patient compliance and outcomes. Smartphone/web applications offer significant benefits for patient care, education and behavioural modifications. As providing continuous patient support would require adequate infrastructure and personnel, cost effectiveness of such interventions need to be studied.

show abstract

“…Conversely, information might also increase patients' anxiety by drawing attention to their condition, unknown symptoms or the risks of treatment. The few studies that have measured the impact of mobile devices on patients' quality of life or emotional disturbances for other chronic conditions have also reported mixed findings [64,65]. However, some studies have highlighted the potential of Smartphones to specifically increase patients' awareness of stress and emotional well-being, by recording moods during both health and illness, and deliver therapeutic interventions accordingly, which has led to reduced anxiety [65,66].…”

Section: Findings In the Context Of Other Literaturementioning

confidence: 99%

Use of Mobile Devices to Help Cancer Patients Meet Their Information Needs in Non-Inpatient Settings: Systematic Review (Preprint)

Richards¹,

Kinnersley²,

Brain³

et al. 2018

Preprint

View full text Add to dashboard Cite

The use of mobile devices to help patients with cancer to meet their information needs in non-inpatient settings: A systematic review IntroductionIt is estimated that one in two people in Great Britain will develop some form of cancer during their lifetime [1]. In 2014, 357,000 new cases of cancer were diagnosed in the UK and the rate of incidence is increasing [2]. However, survival rates have doubled in the UK in the last 40 years and so, for many, cancer is a chronic condition with which they live for many years. Subsequently, there has been a shift from inpatient to outpatient and community cancer care, where patients are required to manage their condition at home, away from regular supervision by clinicians. This change in care requires patients to take a more active role in their treatment and survivorship. Patients are often faced with an uncertain future, unfamiliar tests and procedures, complex decisions about treatment options, treatment-related side-effects and lifestyle changes. In order to take a more active role in their care, and to cope with and manage these changes to daily life, patients require relevant information [3,4]. Research has established that patients have a wide range of information needs throughout their illness. Reviews of these studies suggest that patients generally want information on the extent of the disease, likelihood of cure and prognosis, available treatments, side-effects of treatment, self-care and return to normal life [5][6][7]. Other, less urgent, information needs include the impact of cancer and/or treatment on social activities, family and friends, mental wellbeing and sexual activity, and the risk of family and friends getting cancer [5,6]. There is evidence to suggest that information may help to reduce uncertainty, provide patients with a sense of control over their lives and support informed decision-making about treatment options [8,9]. While many people with cancer want as much information as possible about their condition [10], up to 93% of cancer patients across the US, Europe and the UK report having unmet information needs [11][12][13][14].The introduction of Smart technology has provided a new platform for delivering information-based interventions to patients. Approximately 93% of adults in the UK now personally own or use a mobile phone, of whom 71% specify that they own a Smartphone [15]. Similarly, over two thirds of adults in the UK now own or have access to a tablet computer [15]. Similar statistics of Smart device ownership and use have been reported in cancer patient populations [16,17]. Mobile devices therefore offer the potential for wide reach at the point of need for patients with cancer. Several existing systematic and scoping reviews have explored the general use of mobile devices for patients with cancer [18][19][20][21][22][23]. Findings from these reviews show that mobile interventions have been developed for a range of purposes, including the prevention, detection, and management of cancer; however, most interventions have been designed...

show abstract

Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

Cited by 326 publications

References 62 publications

Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory

Factors of Leading the Adoption of Diet/Exercise Apps on Smartphones: Application of Channel Expansion Theory

Novel Health Mobile Technology as an Emerging Strategy in Diabetes Management

Use of Mobile Devices to Help Cancer Patients Meet Their Information Needs in Non-Inpatient Settings: Systematic Review (Preprint)

Contact Info

Product

Resources

About