33 research outputs found

    Assessing User-Designed Dashboards: A Case for Developing Data Visualization Competency

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    Part 2: Digital Platforms for DevelopmentInternational audienceHealth information dashboards, which are collections of relevant indicator visualizations for management, have become a common feature and strategy for improved information use in the health sector. They should provide any manager with quality information in a format that points out the performance of health service provision, and thus necessitate good knowledge of visualization techniques to both develop and interpret. Since health management is a dispersed and decentralized activity, dashboards need to be relevant to varied users, and various administrative levels of the health services. This can be achieved by enabling all users to make their own dashboards, based on the indicators they need, and presented in a suitable manner to track the local priority activities.In this study we examine user-defined dashboards in Indonesia, which has implemented a flexible and open source platform for health management (DHIS2). While the technical flexibility of the platform has been taken advantage of by providing platform customization training, the study finds that the quality of the dashboards created face numerous challenges. These challenges point to poor visualization competence. We conclude by calling for such competence to be addressed by the training curricula, as well as by utilizing existing “best practice” dashboards from WHO now available for the same platform

    Infarct in a New Territory After Treatment Administration in the ESCAPE Randomized Controlled Trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times).

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    BACKGROUND AND PURPOSE: Infarct in a new previously unaffected territory (INT) is a potential complication of endovascular treatment. We applied a recently proposed methodology to identify and classify INTs in the ESCAPE randomized controlled trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times). METHODS: The core laboratory identified INTs on 24-hour follow-up imaging, blinded to treatment allocation, after assessing all baseline imaging. INTs were classified into 3 types (I-III) and 2 subtypes (A/B) based on size and if catheter manipulation was likely performed across the vessel territory ostium. Logistic regression was used to understand the effect of multiple a priori identified variables on INT occurrence. Ordinal logistic regression was used to analyze the effect of INTs on modified Rankin Scale shift at 90 days. RESULTS: From 308 patients included, 14 INTs (4.5% overall; 2.8% on follow-up noncontrast computed tomography, 11.7% on follow-up magnetic resonance imaging) were identified (5.0% in endovascular treatment arm versus 4.0% in control arm [P=0.7]). The use of intravenous alteplase was associated with a 68% reduction in the odds of INT occurrence (3.0% with versus 9.1% without; odds ratio, 0.32; 95% confidence interval, 0.11-0.96; adjusted for age, sex, and treatment type). No other variables were associated with INTs. INT occurrence was associated with reduced probability of good clinical outcome (common odds ratio, 0.25; 95% confidence interval, 0.09-0.74; adjusted for age, type of treatment, and follow-up scan). CONCLUSIONS: INTs are uncommon, detected more frequently on follow-up magnetic resonance imaging, and affect clinical outcome. In experienced centers, endovascular treatment is likely not causal, whereas intravenous alteplase may be therapeutic. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01778335
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