Preventing Early Bouncebacks to the Neurointensive Care Unit : A Retrospective Analysis and Quality Improvement Pilot
BACKGROUND: Early unplanned readmissions of "bouncebacks" to intensive care units are a healthcare quality metric and result in higher mortality and greater cost. Few studies have examined bouncebacks to the neurointensive care unit (neuro-ICU), and we sought to design and implement a quality improvement pilot to reduce that rate.
METHODS: First, we performed a retrospective chart review of 504 transfers to identify potential bounceback risk factors. Risk factors were assessed on the day of transfer by the transferring physician identifying patients as "high risk" or "low risk" for bounceback. "High-risk" patients underwent an enhanced transfer process emphasizing interdisciplinary communication and rapid assessment upon transfer during a 9-month pilot.
RESULTS: Within the retrospective cohort, 34 of 504 (4.7%) transfers required higher levels of care within 48 h. Respiratory failure and sepsis/hypotension were the most common reasons for bounceback among this group. During the intervention, 8 of 225 (3.6%) transfers bounced back, all of who were labeled "high risk." Being "high risk" was associated with a risk of bounceback (OR not calculable, p = 0.02). Aspiration risk (OR 6.9; 95% CI 1.6-30, p = 0.010) and cardiac arrhythmia (OR 7.1; 95% CI 1.6-32, p = 0.01) were independent predictors of bounceback in multivariate analysis. Bounceback rates trended downward to 2.8% in the final phase (p for trend 0.09). Eighty-five percent of providers responded that the pilot should become standard of care.
CONCLUSION: Patients at high risk for bounceback after transfer from the neuro-ICU can be identified using a simple tool. Early augmented multidisciplinary communication and care for high-risk patients may improve their management in the hospital.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2018 |
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| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:28 |
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| Enthalten in: |
Neurocritical care - 28(2018), 2 vom: 19. Apr., Seite 175-183 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Coughlin, David G [VerfasserIn] |
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| Links: |
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| Themen: |
Bounceback |
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| Anmerkungen: |
Date Completed 30.09.2019 Date Revised 30.09.2019 published: Print Citation Status MEDLINE |
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| doi: |
10.1007/s12028-017-0446-z |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM275998878 |
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| 245 | 1 | 0 | |a Preventing Early Bouncebacks to the Neurointensive Care Unit |b A Retrospective Analysis and Quality Improvement Pilot |
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| 500 | |a Date Revised 30.09.2019 | ||
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a BACKGROUND: Early unplanned readmissions of "bouncebacks" to intensive care units are a healthcare quality metric and result in higher mortality and greater cost. Few studies have examined bouncebacks to the neurointensive care unit (neuro-ICU), and we sought to design and implement a quality improvement pilot to reduce that rate | ||
| 520 | |a METHODS: First, we performed a retrospective chart review of 504 transfers to identify potential bounceback risk factors. Risk factors were assessed on the day of transfer by the transferring physician identifying patients as "high risk" or "low risk" for bounceback. "High-risk" patients underwent an enhanced transfer process emphasizing interdisciplinary communication and rapid assessment upon transfer during a 9-month pilot | ||
| 520 | |a RESULTS: Within the retrospective cohort, 34 of 504 (4.7%) transfers required higher levels of care within 48 h. Respiratory failure and sepsis/hypotension were the most common reasons for bounceback among this group. During the intervention, 8 of 225 (3.6%) transfers bounced back, all of who were labeled "high risk." Being "high risk" was associated with a risk of bounceback (OR not calculable, p = 0.02). Aspiration risk (OR 6.9; 95% CI 1.6-30, p = 0.010) and cardiac arrhythmia (OR 7.1; 95% CI 1.6-32, p = 0.01) were independent predictors of bounceback in multivariate analysis. Bounceback rates trended downward to 2.8% in the final phase (p for trend 0.09). Eighty-five percent of providers responded that the pilot should become standard of care | ||
| 520 | |a CONCLUSION: Patients at high risk for bounceback after transfer from the neuro-ICU can be identified using a simple tool. Early augmented multidisciplinary communication and care for high-risk patients may improve their management in the hospital | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Bounceback | |
| 650 | 4 | |a Critical care | |
| 650 | 4 | |a Neurointensive care unit | |
| 650 | 4 | |a Quality improvement | |
| 650 | 4 | |a Readmission | |
| 700 | 1 | |a Kumar, Monisha A |e verfasserin |4 aut | |
| 700 | 1 | |a Patel, Neha N |e verfasserin |4 aut | |
| 700 | 1 | |a Hoffman, Rebecca L |e verfasserin |4 aut | |
| 700 | 1 | |a Kasner, Scott E |e verfasserin |4 aut | |
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