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Preventing Early Bouncebacks to the Neurointensive Care Unit: A Retrospective Analysis and Quality Improvement Pilot.
Coughlin, David G; Kumar, Monisha A; Patel, Neha N; Hoffman, Rebecca L; Kasner, Scott E.
Afiliação
  • Coughlin DG; Department of Neurology, University of Pennsylvania, 3400 Spruce St, 3W Gates Pavilion, Philadelphia, PA, 19104, USA. David.Coughlin@uphs.upenn.edu.
  • Kumar MA; Department of Neurology, University of Pennsylvania, 3400 Spruce St, 3W Gates Pavilion, Philadelphia, PA, 19104, USA.
  • Patel NN; Department of Internal Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
  • Hoffman RL; Department of Surgery, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
  • Kasner SE; Department of Neurology, University of Pennsylvania, 3400 Spruce St, 3W Gates Pavilion, Philadelphia, PA, 19104, USA.
Neurocrit Care ; 28(2): 175-183, 2018 04.
Article em En | MEDLINE | ID: mdl-28929392
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Transferência de Pacientes / Cuidados Críticos / Melhoria de Qualidade / Unidades de Terapia Intensiva / Doenças do Sistema Nervoso Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neurocrit Care Assunto da revista: NEUROLOGIA / TERAPIA INTENSIVA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Transferência de Pacientes / Cuidados Críticos / Melhoria de Qualidade / Unidades de Terapia Intensiva / Doenças do Sistema Nervoso Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neurocrit Care Assunto da revista: NEUROLOGIA / TERAPIA INTENSIVA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos