A Dashboard for Tracking Mortality After Cardiac Surgery Using a National Administrative Database
Copyright 2021, Greco et al..
BACKGROUND: Mortality after cardiac surgery is publicly reportable and used as a quality metric by national organizations. However, detailed institutional comparisons are often limited in publicly reported ratings, while publicly reported mortality data are generally limited to 30-day outcomes. Dashboards represent a useful method for aggregating data to identify areas for quality improvement.
METHODS: We present the development of a dashboard of cardiac surgery performance using cardiac surgery admissions in a national administrative dataset, allowing institutions to better analyze their clinical outcomes. We identified cardiac surgery admissions in the Medicare Limited Data Sets from April 2016 to March 2017 using diagnosis-related group (DRG) codes for cardiac valve and coronary bypass surgeries.
RESULTS: Using these data, we created a dashboard prototype to enable hospitals to compare their individual performance against state and national benchmarks, by all cardiac surgeries, specific cardiac surgery DRGs and by specific surgeons. Mortality rates are provided at 30, 60 and 90 days post-operatively as well as 1 year. Users can filter results by state, hospital and surgeon, and visualize summary data comparing these filtered results to national metrics. Examples of using the dashboard to examine hospital and individual surgeon mortality are provided.
CONCLUSIONS: We demonstrate how this database can be used to compare data between comparator hospitals on local, state and national levels to identify trends in mortality and areas for quality improvement.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
Cardiology research - 12(2021), 2 vom: 28. Apr., Seite 86-90 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Greco, Katherine J [VerfasserIn] |
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| Links: |
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| Themen: |
Cardiac surgery |
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| Anmerkungen: |
Date Revised 21.04.2022 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.14740/cr1220 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM322945038 |
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| 245 | 1 | 2 | |a A Dashboard for Tracking Mortality After Cardiac Surgery Using a National Administrative Database |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright 2021, Greco et al. | ||
| 520 | |a BACKGROUND: Mortality after cardiac surgery is publicly reportable and used as a quality metric by national organizations. However, detailed institutional comparisons are often limited in publicly reported ratings, while publicly reported mortality data are generally limited to 30-day outcomes. Dashboards represent a useful method for aggregating data to identify areas for quality improvement | ||
| 520 | |a METHODS: We present the development of a dashboard of cardiac surgery performance using cardiac surgery admissions in a national administrative dataset, allowing institutions to better analyze their clinical outcomes. We identified cardiac surgery admissions in the Medicare Limited Data Sets from April 2016 to March 2017 using diagnosis-related group (DRG) codes for cardiac valve and coronary bypass surgeries | ||
| 520 | |a RESULTS: Using these data, we created a dashboard prototype to enable hospitals to compare their individual performance against state and national benchmarks, by all cardiac surgeries, specific cardiac surgery DRGs and by specific surgeons. Mortality rates are provided at 30, 60 and 90 days post-operatively as well as 1 year. Users can filter results by state, hospital and surgeon, and visualize summary data comparing these filtered results to national metrics. Examples of using the dashboard to examine hospital and individual surgeon mortality are provided | ||
| 520 | |a CONCLUSIONS: We demonstrate how this database can be used to compare data between comparator hospitals on local, state and national levels to identify trends in mortality and areas for quality improvement | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Cardiac surgery | |
| 650 | 4 | |a Dashboard | |
| 650 | 4 | |a Mortality | |
| 650 | 4 | |a Outcomes | |
| 650 | 4 | |a Quality improvement | |
| 700 | 1 | |a Rao, Nikhilesh |e verfasserin |4 aut | |
| 700 | 1 | |a Urman, Richard D |e verfasserin |4 aut | |
| 700 | 1 | |a Brovman, Ethan Y |e verfasserin |4 aut | |
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