The Clinical Impact of eHealth on the Self-Management of Diabetes: A Double Adoption Perspective

Abstract

The development, adoption, and acceptance of eHealth systems that change and improve patient self-care have been promising, but the results have been mixed and the work mostly atheoretical. In this paper, we respond to this opportunity by developing and assessing an eHealth system for newly diagnosed type 2 diabetes patients. Study participants used the eHealth system for a 12-month period after diagnosis in an attempt to acquire an understanding about their diabetes, develop self-care activities (e.g., blood glucose testing), and improve their biomedical outcomes. Drawing upon theories and methods from information systems and upon the Precede-Proceed model of health promotion planning, we explored the double adoption of eHealth technology and its antecedents, self-care practices and their antecedents, and improvements in biomedical outcomes important to long-term diabetes health. Path model results indicate important implications for information systems, eHealth, and health promotion practice and research, which are discussed.

Social Media in Healthcare

“…This explosion of content stretches human cognitive powers to their limits and makes it difficult for anyone to stay current [11]. Therefore, in the face of this extraordinary growth it is not surprising that patients are adopting social computing to manage information overload and augment knowledge so they can play a more empowered and active role in managing their health [9], [13], [15], [20], [22]- [25]. Uptake of social computing for health is reflected in the numbers.…”

“…This online engagement has "…a positive effect on [their] perceived quality of life and well-being" [20, p. 146]. Twenty percent of those U.S. users also create health-related content [15], [20], [23], [25]- [27]. Finally, IBM further projects that by 2016 one billion health-related apps will be downloaded per year [21].…”

Platform adoption by mobile application developers: A multimethodological approach

“…Voluntariness and experience are noted as the key moderating factors in several models. TAM-related research has continued to evolve, identifying other important attributes, such as uncertainty in online systems adoption (Sun, 2013), predisposing factors, reinforcing factors, enabling factors in eHealth systems adoption (Kelly et al, 2011), and demographic characteristics in e-government adoption (Sipior et al, 2011).…”

An Evaluation of the Effectiveness of the Modalities Used to Deliver Electronic Health Interventions for Chronic Pain: Systematic Review With Network Meta-Analysis (Preprint)

“…In this context, where ongoing disease management is required, technology assisted interventions offer a viable and important support option. Many eHealth solutions have been developed for a variety of chronic illnesses, including, diabetes [27,28], breast cancer [29], hypertension [30], cardiovascular disease [16], multiple sclerosis [31], headache [8] and chronic pain [12,14,32,33,34,35,36,37,38].…”