This paper summarizes the empirical evidence concerning health-related quality of life (HRQoL) of patients with coronary heart disease (CHD) and attempts to identify its significant predictors. A systematic search of the literature from 2002 to 2012 was conducted using seven electronic databases (CINAHL, ScienceDirect, Medline, Scopus, PsycINFO, PubMed and Web of Science) using the search terms 'HRQoL'. 'CHD', 'social support', 'depression', 'anxiety', 'psychosocial factors', 'sociodemographic factors', 'clinical factors' and 'predictors'. A total of 1052 studies were retrieved, of which 24 articles were included in this review. Previous studies have consistently demonstrated the negative impact of CHD on HRQoL, citing three major types of predictive factors: sociodemographic, clinical and psychosocial factors. Studies have also highlighted the advantageous use of HRQoL as a gauge for treatment satisfaction and efficacy. There are, however, few studies that collectively investigate the relationship among concepts such as HRQoL, anxiety and depression, social support, and sociodemographic and clinical factors in relation to CHD. This review highlights the need to conduct further study on HRQoL of patients with CHD in the Asian context. Such research will promote patient-centric care and improved patient satisfaction through incorporation of the concept of HRQoL into clinical practice.
Australia has designed, developed, and now implemented its national e-health solution known as the Personally Controlled Electronic Healthcare Record (PCEHR). This is a unique system as it subscribes to a shared governance model between patients and providers. To date, though, as with other national e-health solutions, there is poor uptake and much concern regarding the success of this multi-million dollar project. The authors contend that while these implementations and adoptions of e-health solutions are necessary, it is essential that an appropriate lens of analysis should be used in order to maximise and sustain the benefits of Information Systems/Information Technology (IS/IT) in healthcare delivery. Hence, in this chapter, the authors proffer Actor-Network Theory (ANT) as an appropriate lens to evaluate these various e-health solutions and illustrate in the context of the Personally Controlled Electronic Health Record (PCEHR), the chosen e-health solution for Australia.
Globally, healthcare reforms are being initiated to address the tremendous challenges facing healthcare systems. Without exception these reforms include the implementation of a variety of e-health solutions. Such e-health solutions are complex and have far reaching implications. In this paper, the authors argue that while these implementations and adoptions of e-health solutions are necessary, it is essential that an appropriate lens of analysis should be used to maximise and sustain the benefits of IS/IT (information systems/information technology) in healthcare delivery. Hence, in this paper, the authors proffer Actor-Network Theory (ANT) as an appropriate lens to evaluate these various e-health solutions and illustrate, in the context of the Personally Controlled Electronic Health Record (PCEHR), the chosen e-health solution for Australia.
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