Web-Based Dashboard for the Interactive Visualization and Analysis of National Risk-Standardized Mortality Rates of Sepsis in the US
| Autor: | Meng-Tse Lee, Chien-Chang Lee, Tzer-Shyong Chen, Fong-Ci Lin, Wan-Ting Hsu, Feipei Lai, Szu-Ta Chen, Samuel J. Lin |
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| Rok vydání: | 2020 |
| Předmět: |
Male
020205 medical informatics Computer science Dashboard (business) Information Storage and Retrieval Medicine (miscellaneous) Health Informatics 02 engineering and technology Logistic regression Risk Assessment Health informatics Health Information Management Sepsis Health care 0202 electrical engineering electronic engineering information engineering medicine Electronic Health Records Humans Web application Hospital Mortality Interactive visualization business.industry Mortality rate Health Status Disparities medicine.disease United States Health equity Logistic Models Outcome and Process Assessment Health Care Data Display Female Medical emergency business Information Systems |
| Zdroj: | Journal of Medical Systems. 44 |
| ISSN: | 1573-689X 0148-5598 |
| DOI: | 10.1007/s10916-019-1509-9 |
| Popis: | Sepsis mortality is heavily influenced by the quality of care in hospitals. Comparing risk-standardized mortality rate (RSMR) of sepsis patients in different states in the United States has potentially important clinical and policy implications. In the current study, we aimed to compare national sepsis RSMR using an interactive web-based dashboard. We analyzed sepsis mortality using the National Inpatient Sample Database of the US. The RSMR was calculated by the hierarchical logistic regression model. We wrote the interactive web-based dashboard using the Shiny framework, an R package that integrates R-based statistics computation and graphics generation. Visual summarizations (e.g., heat map, and time series chart), and interactive tools (e.g., year selection, automatic year play, map zoom, copy or print data, ranking data by name or value, and data search) were implemented to enhance user experience. The web-based dashboard (https://sepsismap.shinyapps.io/index2/) is cross-platform and publicly available to anyone with interest in sepsis outcomes, health inequality, and administration of state/federal healthcare. After extrapolation to the national level, approximately 35 million hospitalizations were analyzed for sepsis mortality each year. Eight years of sepsis mortality data were summarized into four easy to understand dimensions: Sepsis Identification Criteria; Sepsis Mortality Predictors; RSMR Map; RSMR Trend. Substantial variation in RSMR was observed for different states in the US. This web-based dashboard allows anyone to visualize the substantial variation in RSMR across the whole US. Our work has the potential to support healthcare transparency, information diffusion, health decision-making, and the formulation of new public policies. |
| Databáze: | OpenAIRE |
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