Evidence map›Paper›PMID 26492215›Full record

ArticleMedical care2016

Mortality Among Older Adults Before Versus After Hospital Transition to Intensivist Staffing.

Myura Nagendran, Justin B Dimick, Andrew A Gonzalez, John D Birkmeyer, Amir A Ghaferi

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07729891 (Real-time Evaluation and Continuous Observation of Vital Signs for Enhanced Recovery), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT07729891 recruitingnot on this mapstarted 2026, after this paper: background citation

Real-time Evaluation and Continuous Observation of Vital Signs for Enhanced Recovery

TypeobservationalSponsorAzienda Ospedaliero-Universitaria di ParmaRan2026 to 2027Enrolled150ConditionsPostoperative Complication, Respiratory Complications, Cardiac ComplicationsArmsContinuous vital sign monitoring with Portrait Mobile in surgical ward
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. The authors reply.Critical care medicine · 2016
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Myura Nagendran*Imperial College London, London, UK†Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, MI.
Justin B Dimick
Andrew A Gonzalez
John D Birkmeyer
Amir A Ghaferi

Funding

UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Alistair James O'MALLEY · 2001 to 2026
$52.9M
Failure to Rescure-Patient Safety Learning Lab (FTR-PSLL) P30HS024403 · AHRQ · DARTMOUTH-HITCHCOCK · PI BLIKE, GEORGE T · 2015 to 2018
$3.8M
Understanding Variation in Failure to Rescue in the ElderyR01AG042340 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIMICK, JUSTIN BRIGHAM · 2012 to 2014
$981k
AHRQ HHS P30 HS024403NIA NIH HHS P01 AG019783NIA NIH HHS R01 AG042340NIMHD NIH HHS L60 MD003588
6 · The paper itself

Abstract

backgroundA large body of research suggests that hospitals with intensive care units staffed by board-certified intensivists have lower mortality rates than those that do not.

objectiveTo determine whether hospitals can reduce their mortality by adopting an intensivist staffing model.

designRetrospective, longitudinal study using 2003-2010 Medicare data and the Leapfrog Group Hospital surveys. SETTING AND PATIENTS: In total, 2,916,801 Medicare patients at 488 US hospitals. MEASUREMENTS: We studied 30-day and in-hospital mortality among patients with several common medical and surgical conditions. We first compared risk-adjusted mortality rates of 3 groups of hospitals: those that were intensivist staffed throughout this time period, those that were not intensivist staffed, and those that transitioned to intensivist staffing somewhere during the period. We then examined rates of mortality improvement within each of the 3 groups and used difference-in-differences techniques to assess the independent effect of intensivist staffing among the subset of hospitals that transitioned.

resultsHospitals with intensivist staffing at the beginning of our study period had lower mortality rates than those without. However, hospitals that adopted intensivist staffing during the study period did not substantially improve their mortality rates. In our difference-in-differences analysis, there was no significant independent improvement in mortality after transitioning to intensivist staffing either overall [relative risk (RR), 0.96; 95% confidence interval (CI), 0.90-1.02] or in the medical (RR, 0.95; 95% CI, 0.89-1.02) or surgical populations (RR, 0.97; 95% CI, 0.84-1.10). LIMITATIONS: Risk adjustment was based on administrative data. Categorization of exposure was by survey response at the hospital level.

conclusionsAdoption of an intensivist staffing model was not associated with improved mortality in Medicare beneficiaries. These findings suggest that the lower mortality rates previously observed at hospitals with intensivist staffing may be attributable to other factors.

Indexed as

Critical CareIntensive Care UnitsAgedAged, 80 and overConfidence IntervalsCritical IllnessFemaleHospital MortalityHumansLongitudinal StudiesMaleOdds RatioOrganizational InnovationPersonnel Staffing and SchedulingRetrospective StudiesRisk Assessment

Identifiers

PMID26492215
PMCPMC4718837

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Registered trials

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.