Evidence map›Paper›PMID 26969311›Full record

ArticleJournal of general internal medicine2016

"Deterioration to Door Time": An Exploratory Analysis of Delays in Escalation of Care for Hospitalized Patients.

Christopher B Sankey, Gail McAvay, Jonathan M Siner, Carol L Barsky, Sarwat I Chaudhry

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
25.1field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  11. The Ward or the Intensive Care Unit: Is It All Relative?Annals of the American Thoracic Society · 2023
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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

5 authors at 3 institutions in 1 country.

Christopher B SankeySection of General Medicine, Department of Internal Medicine, Yale University School of Medicine, Harkness Hall A, Room 306, 367 Cedar St., New Haven, CT, 06510, USA. christopher.sankey@yale.edu.
Gail McAvaySection of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Jonathan M SinerSection of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Carol L BarskyPatient Safety and Quality, Hackensack University Medical Center, Hackensack, NJ, USA.
Sarwat I ChaudhrySection of General Medicine, Department of Internal Medicine, Yale University School of Medicine, Harkness Hall A, Room 306, 367 Cedar St., New Haven, CT, 06510, USA.
Yale University · USHackensack University Medical Center · USYale New Haven Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

backgroundTimely escalation of care for patients experiencing clinical deterioration in the inpatient setting is challenging. Deterioration on a general floor has been associated with an increased risk of death, and the early period of deterioration may represent a time during which admission to the intensive care unit (ICU) improves survival. Previous studies examining the association between delay from onset of clinical deterioration to ICU transfer and mortality are few in number and were conducted more than 10 years ago.

objectiveWe aimed to evaluate the impact of delays in the escalation of care among clinically deteriorating patients in the current era of inpatient medicine. DESIGN AND

participantsThis was a retrospective cohort study that analyzed data from 793 patients transferred from non-intensive care unit (ICU) inpatient floors to the medical intensive care unit (MICU), from 2011 to 2013 at an urban, tertiary, academic medical center. MAIN MEASURES: "Deterioration to door time (DTDT)" was defined as the time between onset of clinical deterioration (as evidenced by the presence of one or more vital sign indicators including respiratory rate, systolic blood pressure, and heart rate) and arrival in the MICU. KEY

resultsIn our sample, 64.6 % had delays in care escalation, defined as greater than 4 h based on previous studies. Mortality was significantly increased beginning at a DTDT of 12.1 h after adjusting for age, gender, and severity of illness.

conclusionsDelays in the escalation of care for clinically deteriorating hospitalized patients remain frequent in the current era of inpatient medicine, and are associated with increased in-hospital mortality. Development of performance measures for the care of clinically deteriorating inpatients remains essential, and timeliness of care escalation deserves further consideration.

Indexed as

Clinical DeteriorationAdolescentAdultAgedAged, 80 and overElectronic Health RecordsEmergency Service, HospitalFemaleHospitalizationHumansIntensive Care UnitsLength of StayMaleMiddle AgedPatient TransferRetrospective Studiescare escalationcare transitionsdelaysinpatient clinical deteriorationtimeliness

Identifiers

PMID26969311
PMCPMC4945556
OpenAlexW2293326121

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.