The Canadian healthcare system, by design, has been historically oriented to delivering acute and symptom-driven care; however, the current cost of treating chronic disease has risen to an average of nearly 45% of direct costs of the national health budget. As a consequence more attention is being directed to the diagnosis and treatment of chronically ill patients who also may suffer from disabilities, illiteracy, impairment in judgment, depression, or multiple co-morbidities. This has also resulted in a new emphasis on health and disease self-management, to help patients to mitigate and manage the impacts of chronic diseases. This approach affects and involves the patient’s entire circle of care including the patient, healthcare providers, and the patient’s family and friends.
This study discusses how support elements (i.e. decision support, education and training, family and community support) and sustainability elements (i.e. recreation and entertainment, rewards systems, online social networks) combined with online technological support can help to support and provide motivation for chronically ill patients to adopt self-management in a sustainable manner. The PLS (Partial Least Squares) statistical approach was used to validate a proposed SEM (Structural Equation Model) research model with data collected from 198 participants across North America without any prior exposure to our proposed system. The research model hypothesized that support and sustainability constructs have a strong positive influence on the willingness of users to adopt and use the proposed system. The model results in a very good fit for Behavioural Intention to Adopt for patients with no caregiver support (R2=0.71), and for patients with such support (R2=0.65). The results clearly validate our proposed model including a high predictive relevance for endogenous variables. This research provides useful theoretical and practical insights and understanding for design, development and promotion of chronic care self-management systems as well as the perceptions of users regarding the adoption and use of such systems. / Dissertation / Doctor of Philosophy (PhD)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/17204 |
| Date | 06 1900 |
| Creators | Aria, Reza |
| Contributors | Archer, Norman P., Business Administration |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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