Literature DB >> 31927706

Web-Based Dashboard for the Interactive Visualization and Analysis of National Risk-Standardized Mortality Rates of Sepsis in the US.

Meng-Tse Lee1, Fong-Ci Lin2, Szu-Ta Chen3,4,5,6, Wan-Ting Hsu3, Samuel Lin7, Tzer-Shyong Chen8, Feipei Lai1,9,10, Chien-Chang Lee11,12.   

Abstract

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.

Entities:  

Keywords:  And visualization; Dashboard; Risk standardized mortality rate; Sepsis

Year:  2020        PMID: 31927706     DOI: 10.1007/s10916-019-1509-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  23 in total

1.  Early goal-directed therapy in the treatment of severe sepsis and septic shock.

Authors:  E Rivers; B Nguyen; S Havstad; J Ressler; A Muzzin; B Knoblich; E Peterson; M Tomlanovich
Journal:  N Engl J Med       Date:  2001-11-08       Impact factor: 91.245

2.  Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care.

Authors:  D C Angus; W T Linde-Zwirble; J Lidicker; G Clermont; J Carcillo; M R Pinsky
Journal:  Crit Care Med       Date:  2001-07       Impact factor: 7.598

3.  Before-after study of a standardized hospital order set for the management of septic shock.

Authors:  Scott T Micek; Nareg Roubinian; Tim Heuring; Meghan Bode; Jennifer Williams; Courtney Harrison; Theresa Murphy; Donna Prentice; Brent E Ruoff; Marin H Kollef
Journal:  Crit Care Med       Date:  2006-11       Impact factor: 7.598

4.  Benchmarking the incidence and mortality of severe sepsis in the United States.

Authors:  David F Gaieski; J Matthew Edwards; Michael J Kallan; Brendan G Carr
Journal:  Crit Care Med       Date:  2013-05       Impact factor: 7.598

5.  Comparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling.

Authors:  Elizabeth E Drye; Sharon-Lise T Normand; Yun Wang; Joseph S Ross; Geoffrey C Schreiner; Lein Han; Michael Rapp; Harlan M Krumholz
Journal:  Ann Intern Med       Date:  2012-01-03       Impact factor: 25.391

6.  Improving the Efficiency and Ease of Healthcare Analysis Through Use of Data Visualization Dashboards.

Authors:  Jennifer G Stadler; Kipp Donlon; Jordan D Siewert; Tessa Franken; Nathaniel E Lewis
Journal:  Big Data       Date:  2016-06       Impact factor: 2.128

7.  National patterns of risk-standardized mortality and readmission for acute myocardial infarction and heart failure. Update on publicly reported outcomes measures based on the 2010 release.

Authors:  Susannah M Bernheim; Jacqueline N Grady; Zhenqiu Lin; Yun Wang; Yongfei Wang; Shantal V Savage; Kanchana R Bhat; Joseph S Ross; Mayur M Desai; Angela R Merrill; Lein F Han; Michael T Rapp; Elizabeth E Drye; Sharon-Lise T Normand; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-08-24

8.  Implementation of an evidence-based "standard operating procedure" and outcome in septic shock.

Authors:  Andreas Kortgen; Petra Niederprüm; Michael Bauer
Journal:  Crit Care Med       Date:  2006-04       Impact factor: 7.598

9.  Improving care of the sepsis patient.

Authors:  Marc T Zubrow; Thomas A Sweeney; Gerard J Fulda; Maureen A Seckel; Alison C Ellicott; Donna D Mahoney; Paula M Fasano-Piectrazak; Megan B Farraj
Journal:  Jt Comm J Qual Patient Saf       Date:  2008-04

10.  Correlations among risk-standardized mortality rates and among risk-standardized readmission rates within hospitals.

Authors:  Leora I Horwitz; Yongfei Wang; Mayur M Desai; Leslie A Curry; Elizabeth H Bradley; Elizabeth E Drye; Harlan M Krumholz
Journal:  J Hosp Med       Date:  2012-08-03       Impact factor: 2.960

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  3 in total

1.  A Synergetic R-Shiny Portal for Modeling and Tracking of COVID-19 Data.

Authors:  Mahdi Salehi; Mohammad Arashi; Andriette Bekker; Johan Ferreira; Ding-Geng Chen; Foad Esmaeili; Motala Frances
Journal:  Front Public Health       Date:  2021-01-27

2.  Risk-standardized sepsis mortality map of the United States.

Authors:  Jiun-Ruey Hu; Chia-Hung Yo; Hsin-Ying Lee; Chin-Hua Su; Ming-Yang Su; Amy Huaishiuan Huang; Ye Liu; Wan-Ting Hsu; Matthew Lee; Yee-Chun Chen; Chien-Chang Lee
Journal:  Digit Health       Date:  2022-01-20

3.  Big Data Health Care Innovations: Performance Dashboarding as a Process of Collective Sensemaking.

Authors:  Hilco J van Elten; Sandra Sülz; Erik M van Raaij; Rik Wehrens
Journal:  J Med Internet Res       Date:  2022-02-22       Impact factor: 7.076

  3 in total

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