Supporting Special-Purpose Health Care Models via Web Interfaces

The potential of the Web, via both the Internet and intranets, to facilitate development of clinical information systems has been evident for some time. Most Web-based clinical workstations interfaces, however, provide merely a loose collection of access channels. There are numerous examples of systems for access to either patient data or clinical guidelines, but only isolated cases where clinical decision support is presented integrally with the process of patient care, in particular, in the form of active alerts and reminders based on patient data. Moreover, pressures in the health industry are increasing the need for doctors to practice in accordance with ¿best practice¿ guidelines and often to operate under novel health-care arrangements. We present the Care Plan On-Line (CPOL) system, which provides intranet-based support for the SA HealthPlus Coordinated Care model for chronic disease management. We describe the interface design rationale of CPOL and its implementation framework, which is flexible and broadly applicable to support new health care models over intranets or the Internet

TEN Team

There is a growing realisation that to better understand and intervene in the interconnected political, cultural and psycho-social dynamics that constitute the contexts for these current global challenges requires transdisciplinary and intersectoral approaches; approaches that include and value diverse perspectives and pay particular attention to the perspectives and experiences of those who are the most vulnerable and those who are currently excluded from the knowledge creation processes. This article discusses the learning gained from an inter-disciplinary and inter-institutional project entitled Transformative Engagement Network (TEN). &nbsp

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

Chronic disease coordinated care planning: Flexible, task-centered decision support

SA HealthPlus is a trial of Coordinated Care enrolling 4000 high-use patients in South Australia in ten groups including diabetes, cardiac, aged care and lung disease. These patients each have a designated General Practitioner (GP) Care Coordinator who formulates an individualised Care Plan designed to keep them as healthy as possible. An on-line interface to SA HealthPlus has been developed for the Care Coordinators. The Care Plan On-Line (CPOL) system provides a single coherent source whereby the GP can review the available information on a HealthPlus patient in the context of devising a Care Plan of prospective services and medications. In the same application environment CPOL provides access to care guidelines tailored for SA HealthPlus. The guidelines ar

Influence of clouds and diffuse radiation on ecosystem-atmosphere CO2 and CO18O exchanges

This study evaluates the potential impact of clouds on ecosystem CO 2 and CO2 isotope fluxes ("isofluxes") in two' contrasting ecosystems (a broadleaf deciduous forest and a C4 grassland) in a region for which cloud cover, meteorological, and isotope data are available for driving the isotope-enabled land surface model (ISOLSM). Our model results indicate a large impact of clouds on ecosystem CO2 fluxes and isofluxes. Despite lower irradiance on partly cloudy and cloudy days, predicted forest canopy photosynthesis was substantially higher than on clear, sunny days, and the highest carbon uptake was achieved on the cloudiest day. This effect was driven by a large increase in light-limited shade leaf photosynthesis following an increase in the diffuse fraction of irradiance. Photosynthetic isofluxes, by contrast, were largest on partly cloudy days, as leaf water isotopic composition was only slightly depleted and photosynthesis was enhanced, as compared to adjacent clear-sky days. On the cloudiest day, the forest exhibited intermediate isofluxes: although photosynthesis was highest on this day, leaf-to-atmosphere isofluxes were reduced from a feedback of transpiration on canopy relative humidity and leaf water. Photosynthesis and isofluxes were both reduced in the C4 grass canopy with increasing cloud cover and diffuse fraction as a result of near-constant light limitation of photosynthesis. These results suggest that some of the unexplained variation in global mean δ18O of CO2 may be driven by large-scale changes in clouds and aerosols and their impacts on diffuse radiation, photosynthesis, and relative humidity

TEN Team

There is a growing realisation that to better understand and intervene in the interconnected political, cultural and psycho-social dynamics that constitute the contexts for these current global challenges requires transdisciplinary and intersectoral approaches; approaches that include and value diverse perspectives and pay particular attention to the perspectives and experiences of those who are the most vulnerable and those who are currently excluded from the knowledge creation processes. This article discusses the learning gained from an inter-disciplinary and inter-institutional project entitled Transformative Engagement Network (TEN). &nbsp