National Center for Immunization Research and Surveillance of Vaccine Preventable Diseases

Sydney, Australia

National Center for Immunization Research and Surveillance of Vaccine Preventable Diseases

Sydney, Australia
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Li J.,University of New South Wales | Seale H.,University of New South Wales | Ray P.,University of New South Wales | Rawlinson W.,South Eastern Sydney and Illawarra Health Service | And 4 more authors.
Journal of Medical Internet Research | Year: 2012

Background: eHealth is a tool that may be used to facilitate responses to influenza pandemics. Prior to implementation of eHealth in the hospital setting, assessment of the organizational preparedness is an important step in the planning process. Including this step may increase the chance of implementation success. Objective: To identify the preparedness issues in relation to implementation of eHealth for future influenza pandemics. Methods: One hospital was selected in Australia for this study. We conducted 12 individual interviews to gather a rich data set in relation to eHealth preparedness in the context of the 2009 influenza A (H1N1) pandemic at this major teaching hospital. These participants' views were analyzed according to five main themes: (1) challenges in present practices or circumstances for pandemic responses, which indicates a need for change, (2) healthcare providers' exposure to eHealth, (3) organizational technological capacity to support an IT innovation for medical practices, (4) resource preparedness, and (5) socio-cultural issues in association with eHealth implementation in response to a pandemic. Results: This article reports a subset of the issues identified during the case study. These issues include, for example, poor sharing of patient health records, poor protection of patient privacy, clinicians' concerns about IT reliability and dissatisfaction with the software in use, clinicians' concerns about IT's impact on professional autonomy versus having inefficient IT support, and inefficient communication across departments in the form of consultation. Conclusions: Based on discussions with the participants and interpretation of their responses, we assessed the hospital's preparedness status and also identified areas of deficiency. Accordingly, we suggest possible solutions for the areas in need of improvement to facilitate eHealth implementation's success. The study results will also provide policymakers at national, state and local levels with insights to refine relevant public health policies for the planning and management of pandemics from the eHealth perspective.


Li J.,University of New South Wales | Talaei-Khoei A.,University of The Sunshine Coast | Seale H.,University of New South Wales | Ray P.,University of New South Wales | And 2 more authors.
Journal of Medical Internet Research | Year: 2013

Background: eHealth is an application of information and communication technologies across the whole range of functions that affect health. The benefits of eHealth (eg, improvement of health care operational efficiency and quality of patient care) have previously been documented in the literature. Health care providers (eg, medical doctors) are the key driving force in pushing eHealth initiatives. Without their acceptance and actual use, those eHealth benefits would be unlikely to be reaped. Objective: To identify and synthesize influential factors to health care providers' acceptance of various eHealth systems. Methods: This systematic literature review was conducted in four steps. The first two steps facilitated the location and identification of relevant articles. The third step extracted key information from those articles including the studies' characteristics and results. In the last step, identified factors were analyzed and grouped in accordance with the Unified Theory of Acceptance and Use of Technology (UTAUT). Results: This study included 93 papers that have studied health care providers' acceptance of eHealth. From these papers, 40 factors were identified and grouped into 7 clusters: (1) health care provider characteristics, (2) medical practice characteristics, (3) voluntariness of use, (4) performance expectancy, (5) effort expectancy, (6) social influence, and (7) facilitating or inhibiting conditions. Conclusions: The grouping results demonstrated that the UTAUT model is useful for organizing the literature but has its limitations. Due to the complex contextual dynamics of health care settings, our work suggested that there would be potential to extend theories on information technology adoption, which is of great benefit to readers interested in learning more on the topic. Practically, these findings may help health care decision makers proactively introduce interventions to encourage acceptance of eHealth and may also assist health policy makers refine relevant policies to promote the eHealth innovation.

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