Evidence map›Paper›PMID 23372272›Full record

ArticleSleep2013

Association between adaptations to ACGME duty hour requirements, length of stay, and costs.

Glenn Rosenbluth, Darren M Fiore, Judith H Maselli, Eric Vittinghoff, Stephen D Wilson, Andrew D Auerbach

Abstract read
In one paragraph

Article in Sleep, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Glenn RosenbluthDivision of Pediatric Hospital Medicine, University of California San Francisco School of Medicine, San Francisco, CA 94143-0110, USA. rosenbluthg@peds.ucsf.edu
Darren M Fiore
Judith H Maselli
Eric Vittinghoff
Stephen D Wilson
Andrew D Auerbach

Funding

Improving management of cardiovascular medications during hospitalizationK24HL098372 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AUERBACH, ANDREW D · 2010 to 2014
$887k
NHLBI NIH HHS K24 HL098372NHLBI NIH HHS K24HL098372
6 · The paper itself

Abstract

STUDY

objectiveTo determine whether adaptations to comply with Accreditation Council for Graduate Medical Education (ACGME) duty hour requirements are associated with changes in total cost and length of stay.

designRetrospective, interrupted time-series cohort study using concurrent control patients.

settingUCSF Benioff Children's Hospital, San Francisco, CA. PATIENTS: Inpatients newborn to 18 y on the primary pediatrics medical-surgical unit. Medical patients were studied before and after an intervention, and surgical patients served as a concurrent control group.

interventionPediatrics trainees' work schedules were changed from those that relied on prolonged call shifts to those primarily based on shorter day shifts and night shifts.

resultsWe detected significant relative reductions in length of stay but not in total cost. When the analysis was limited to the subset of patients who did not receive intensive care unit care, length of stay decreased by 18% and total cost decreased by 10%. We did not detect similar changes in the control group.

conclusionsA trainee staffing model that included shorter shifts as consistent with current ACGME duty hour requirements was associated with reduced length of stay and total costs for patients not in the intensive care unit.

Indexed as

AdolescentChildChild, PreschoolEducation, Medical, GraduateFemaleHospital CostsHospitals, PediatricHumansInfantInfant, NewbornInternship and ResidencyLength of StayMalePatient ReadmissionPediatricsPersonnel Staffing and Scheduling

Identifiers

PMID23372272
PMCPMC3543058

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.