Evidence map›Paper›PMID 28724143›Full record

Observational studyJAMA surgery2017

Potentially Avoidable Surgical Intensive Care Unit Admissions and Disposition Delays.

Navpreet K Dhillon, Ara Ko, Eric J T Smith, Mayumi Kharabi, Joseph Castongia, Michael Nurok, Bruce L Gewertz, Eric J Ley

Abstract readObservational Study
In one paragraph

Observational study in JAMA surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. [Overtreatment in intensive care medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2019
    Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Navpreet K DhillonDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.
Ara KoDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.
Eric J T SmithDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.
Mayumi KharabiHuman-Centered Design Team, Cedars-Sinai Medical Center, Los Angeles, California.
Joseph CastongiaHuman-Centered Design Team, Cedars-Sinai Medical Center, Los Angeles, California.
Michael NurokDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.
Bruce L GewertzDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.
Eric J LeyDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

objectiveTo 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

participantsThis 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.

interventionsBased 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.

resultsA 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 < .001). During the postintervention period, decreases were noted in the SICU days related to the most common sources of potentially avoidable admissions (SICU stay ≤24 hours, airway concerns, and somnolence) and disposition delays (end-of-life decisions and floor bed unavailable) as well as in the overall rate of potentially avoidable days (269 of 1168 days [23%] vs 205 of 1338 days [15.3%]; P < .001). CONCLUSIONS AND RELEVANCE: Nearly one-fourth of SICU days could be categorized as potentially avoidable. Targeted interventions resulted in a significant reduction of potentially avoidable SICU days.

Indexed as

Surgical Procedures, OperativeAdultAgedAged, 80 and overFemaleHospitalizationHumansIntensive Care UnitsLength of StayMaleMiddle AgedProspective Studies

Identifiers

PMID28724143
PMCPMC5710417

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.