Dataset Information

Potentially Avoidable Surgical Intensive Care Unit Admissions and Disposition Delays.

ABSTRACT:

Importance

High health care costs encourage initiatives that avoid overuse of resources and identify opportunities to promote appropriate care.

Objective

To investigate the causes of potentially avoidable surgical intensive care unit (SICU) admissions and disposition delays to determine whether targeted interventions could decrease these stays.

Design, setting, and participants

This prospective, observational study focused on potentially avoidable SICU days, as determined by observers with input from the rounding intensivists at a 24-bed open SICU at an urban, academic hospital. The preintervention phase occurred from April 6 through June 21, 2015; after implementation of targeted interventions, the postintervention phase occurred from April 4 through June 28, 2016. Data collected included demographic characteristics, reason for admission, and length of stay. All patients admitted to the SICU during the preintervention and postintervention phases were included in the analysis.

Interventions

Based on results collected in the preintervention phase, targeted interventions were designed and implemented from July 1, 2015, through March 31, 2016, including (1) reducing SICU care for minor traumatic brain injury, (2) optimizing postoperative airway management, (3) enhancing communication between services regarding transfers to the SICU, (4) identifying and facilitating more timely end-of-life conversations and supportive care consultations, and (5) encouraging early disposition of patients to floor beds.

Main outcomes and measures

Changes in the proportion of potentially avoidable SICU days owing to potentially avoidable admissions and/or disposition delays.

Results

A total of 459 patients (253 men [55.1%] and 206 women [44.9%]; median age, 62 years [interquartile range, 46-75 years]) were admitted during the preintervention and postintervention phases. Of 261 patients admitted during the preintervention period and 245 during the postintervention period, median SICU and hospital length of stay remained unchanged. A reduction was noted in the percentage of postintervention SICU days owing to potentially avoidable admissions (152 of 1168 days [13%] vs 118 of 1338 days [8.8%]; P?=?.001) and disposition delays (138 of 1168 days [11.8%] vs 97 of 1338 days [7.2%]; P?Conclusions and relevanceNearly one-fourth of SICU days could be categorized as potentially avoidable. Targeted interventions resulted in a significant reduction of potentially avoidable SICU days.

SUBMITTER: Dhillon NK

PROVIDER: S-EPMC5710417 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Publications

Potentially Avoidable Surgical Intensive Care Unit Admissions and Disposition Delays.

Dhillon Navpreet K NK Ko Ara A Smith Eric J T EJT Kharabi Mayumi M Castongia Joseph J Nurok Michael M Gewertz Bruce L BL Ley Eric J EJ

JAMA surgery 20171101 11

<h4>Importance</h4>High health care costs encourage initiatives that avoid overuse of resources and identify opportunities to promote appropriate care.<h4>Objective</h4>To investigate the causes of potentially avoidable surgical intensive care unit (SICU) admissions and disposition delays to determine whether targeted interventions could decrease these stays.<h4>Design, setting, and participants</h4>This prospective, observational study focused on potentially avoidable SICU days, as determined b ...[more]

PMID: 28724143

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Project description:ImportanceDelays in transfer for discharge-ready patients from the intensive care unit (ICU) are increasingly described and contribute to strained capacity.ObjectiveTo describe the epidemiological features and health care costs attributable to potentially avoidable delays in ICU discharge in a large integrated health care system.Design, setting, and participantsThis population-based cohort study was performed in 17 adult ICUs in Alberta, Canada, from June 19, 2012, to December 31, 2016. Participants were patients 15 years or older admitted to a study ICU during the study period. Data were analyzed from October 19, 2018, to May 20, 2020.ExposuresAvoidable time in the ICU, defined as the portion of total ICU patient-days accounted for by avoidable delay in ICU discharge (eg, waiting for a ward bed).Main outcomes and measuresThe primary outcome was health care costs attributable to avoidable time in the ICU. Secondary outcomes were factors associated with avoidable time, in-hospital mortality, and measures of use of health care resources, including the number of hours in the ICU and the number of days of hospitalization. Multilevel mixed multivariable regression was used to assess associations between avoidable time and outcomes.ResultsIn total, 28 904 patients (mean [SD] age, 58.3 [16.8] years; 18 030 male [62.4%]) were included. Of these, 19 964 patients (69.1%) had avoidable time during their ICU admission. The median avoidable time per patient was 7.2 (interquartile range, 2.4-27.7) hours. In multivariable analysis, male sex (odds ratio [OR], 0.92; 95% CI, 0.87-0.98), comorbid hemiplegia or paraplegia (OR 1.47; 95% CI, 1.23-1.75), liver disease (OR 1.20; 95% CI, 1.04-1.37), admission Acute Physiology and Chronic Health Evaluation II score (OR, 1.03; 95% CI, 1.02-1.03), surgical status (OR, 0.90; 95% CI, 0.82-0.98), medium community hospital type (OR, 0.12; 95% CI, 0.04-0.32), and admission year (OR, 1.16; 95% CI, 1.13-1.19) were associated with avoidable time. The cumulative avoidable time was 19 373.9 days, with estimated attributable costs of CAD$34 323 522. Avoidable time accounted for 12.8% of total ICU bed-days and 6.4% of total ICU costs. Patients with avoidable time before ICU discharge showed higher unadjusted in-hospital mortality (1115 [5.6%] vs 392 [4.4%]; P < .001); however, in multivariable analysis, avoidable time was associated with reduced in-hospital mortality (adjusted hazard ratio, 0.74; 95% CI, 0.64-0.85). Results were similar in sensitivity analyses.Conclusions and relevanceIn this study, potentially avoidable discharge delay occurred for most patients admitted to ICUs across a large integrated health system and translated into substantial associated health care costs.

Project description:BackgroundEpidemiologic assessment of surgical admissions into intensive care units (ICUs) provides a framework to evaluate health care system efficiency and project future health care needs.MethodsWe performed a 9-year (2008-2016), retrospective, cohort analysis of all adult admissions to 88 surgical ICUs using the prospectively and manually abstracted Cerner Acute Physiology and Chronic Health Evaluation Outcomes database. We stratified patients into 13 surgical cohorts and modeled temporal trends in admission, mortality, surgical ICU length of stay (LOS), and change in functional status (FS) using generalized mixed-effects and Quasi-Poisson models to obtain risk-adjusted outcomes.ResultsWe evaluated 78,053 ICU admissions and observed a significant decrease in admissions after transplant and thoracic surgery, with a concomitant increase in admissions after otolaryngological and facial reconstructive procedures (all p < 0.05). While overall risk-adjusted mortality remained stable over the study period; mortality significantly declined in orthopedic, cardiac, urologic, and neurosurgical patients (all p < 0.05). Cardiac, urologic, gastrointestinal, neurosurgical, and orthopedic admissions showed significant reductions in LOS (all p < 0.05). The overall rate of FS deterioration increased per year, suggesting ICU-related disability increased over the study period.ConclusionTemporal analysis demonstrates a significant change in the type of surgical patients admitted to the ICU over the last decade, with decreasing mortality and LOS in selected cohorts, but an increasing rate of FS deterioration. Improvement in ICU outcomes may highlight the success of health care advancements within certain surgical cohorts, while simultaneously identifying cohorts that may benefit from future intervention. Our findings have significant implications in health care systems planning, including resource and personnel allocation, education, and surgical training.Level of evidenceEconomic/decision, level IV.Epidemiologic, level IV.

Project description:ImportanceIncreased patient acuity, decreased intensive care unit (ICU) bed availability, and a shortage of intensivist physicians have led to strained ICU capacity. The resulting increase in emergency department (ED) boarding time for patients requiring ICU-level care has been associated with worse outcomes.ObjectiveTo determine the association of a novel ED-based ICU, the Emergency Critical Care Center (EC3), with 30-day mortality and inpatient ICU admission.Design, setting, and participantsThis retrospective cohort study used electronic health records of all ED visits between September 1, 2012, and July 31, 2017, with a documented clinician encounter at a large academic medical center in the United States with approximately 75 000 adult ED visits per year. The pre-EC3 cohort included ED patients from September 2, 2012, to February 15, 2015, when the EC3 opened, and the post-EC3 cohort included ED patients from February 16, 2015, to July 31, 2017. Data analyses were conducted from March 2, 2018, to May 28, 2019.ExposuresImplementation of EC3, an ED-based ICU designed to provide rapid initiation of ICU-level care in the ED setting and seamless transition to inpatient ICUs.Main outcomes and measuresThe main outcomes were 30-day mortality among ED patients and rate of ED to ICU admission.ResultsA total of 349 310 visits from a consecutive sample of ED patients (mean [SD] age, 48.5 [19.7] years; 189 709 [54.3%] women) were examined; the pre-EC3 cohort included 168 877 visits and the post-EC3 cohort included 180 433 visits. Implementation of EC3 was associated with a statistically significant reduction in risk-adjusted 30-day mortality among all ED patients (pre-EC3, 2.13%; post-EC3, 1.83%; adjusted odds ratio, 0.85; 95% CI, 0.80-0.90; number needed to treat, 333 patient encounters; 95% CI, 256-476). The risk-adjusted rate of ED admission to ICU decreased with implementation of EC3 (pre-EC3, 3.2%; post-EC3, 2.7%; adjusted odds ratio, 0.80; 95% CI, 0.76-0.83; number needed to treat, 179 patient encounters; 95% CI, 149-217).Conclusions and relevanceImplementation of a novel ED-based ICU was associated with improved 30-day survival and reduced inpatient ICU admission. Additional research is warranted to further explore the value of this novel care delivery model in various health care systems.

Project description:BackgroundEmergency departments (EDs) see a rising number of patients, but only a small fraction of ED patients need immediate intensive care. The characteristics of these patients are mostly unknown and there is reason to believe that there are large inter-hospital differences in thresholds for intensive care admissions from the ED. The purpose of this study was to give a nationwide overview of ED admissions directly to intensive care units.MethodsWe used the Swedish Intensive care Registry to identify all patients admitted to intensive care from the ED (January 1, 2013 until June 7, 2018). The primary outcome was discharge diagnosis after intensive care (primary ICU diagnosis code). ICU mortality and" ICU admission due to only observation" were analyzed as secondary outcomes.Results110,072 ICU admissions were included, representing 94,546 unique patients. Intoxication, trauma and neurological conditions were the most common causes for intensive care, but large variations according to age, sex and hospital type were seen. Intoxication was the most prevalent diagnosis in young adults (46.8% of admissions in 18-29 years old), whereas infectious diseases predominated in the elderly (17.0% in 65-79 years old). Overall, ICU mortality was 7.2%, but varied substantially with age, sex, type of hospital and medical condition. Cardiac conditions had the highest mortality rates, reaching 32.9%. The mortality was higher in academic centers compared to rural hospitals (9.3% vs 5.0%). It was more common to be admitted to ICU for only observation in rural hospitals than in academic centers (20.1% vs 7.8%). Being admitted to ICU only for observation was most common in patients with intoxication (30.6%).ConclusionsOverall, intoxication was the most common cause for ICU admission from the ED. However, causes of ED ICU admissions differ substantially according to age, sex and hospital type. Being admitted to the ICU only for observation was most common in intoxicated patients.Trial registrationNot applicable (no interventions).

Dataset Information

Potentially Avoidable Surgical Intensive Care Unit Admissions and Disposition Delays.

Importance

Objective

Design, setting, and participants

Interventions

Main outcomes and measures

Results

Publications

Potentially Avoidable Surgical Intensive Care Unit Admissions and Disposition Delays.

Similar Datasets

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