2022
DOI: 10.1097/cce.0000000000000642
|View full text |Cite
|
Sign up to set email alerts
|

The Impact of Timing on Clinical and Economic Outcomes During Inter-ICU Transfer of Acute Respiratory Failure Patients: Time and Tide Wait for No One

Abstract: IMPORTANCE AND OBJECTIVE: Approximately one in 30 patients with acute respiratory failure (ARF) undergoes an inter-ICU transfer. Our objectives are to describe inter-ICU transfer patterns and evaluate the impact of timing of transfer on patient-centered outcomes. DESIGN: Retrospective, quasi-experimental study. SETTING: We used the Healthcare Cost and Utilization Project State Inpatient Databases in five states (Florida, Maryland, Mississippi, New York, and Washington) during 2015–2017. PARTICIPANTS: We … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 42 publications
0
5
0
Order By: Relevance
“…The 16 articles included in this review were observational in nature, with 14 retrospective analysis that used either administrative databases (15)(16)(17)(18)(19)(20) or electronic health record data (21)(22)(23)(24)(25)(26)(27)(28). One study was prospective in nature and examined the reasons behind patient transfer (29), while another evaluated the efficacy of an intervention on transfer wait times and outcomes (30).…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…The 16 articles included in this review were observational in nature, with 14 retrospective analysis that used either administrative databases (15)(16)(17)(18)(19)(20) or electronic health record data (21)(22)(23)(24)(25)(26)(27)(28). One study was prospective in nature and examined the reasons behind patient transfer (29), while another evaluated the efficacy of an intervention on transfer wait times and outcomes (30).…”
Section: Resultsmentioning
confidence: 99%
“…Some studies have used acute illness severity indicators like the Acute Physiology and Chronic Health Evaluation scoring system ( 22 ) and Sequential Organ Failure Assessment (SOFA) scores ( 23 ) to describe patient characteristics, which are both predictive scoring systems to assess the magnitude of a patient’s illness as well as prognosticate risk of mortality. However, a majority have used administrative data sources and report use of Charlson Comorbidity Index ( 16 , 17 ), total Elixhauser comorbidity score ( 15 , 18 , 19 , 25 ), or other models ( 21 ) that largely capture comorbidities and not acuity at time of disease presentation. Some have excluded severity of illness altogether ( 24 , 29 , 31 ), leading to the inability to accurately risk stratify patients either during their initial hospital course or events that occur after transfer.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations