Evidence map›Paper›PMID 35662410›Full record

Observational studyJournal of hospital medicine2022

Associations between hospitalist physician workload, length of stay, and return to the hospital.

Mia Djulbegovic, Kevin Chen, Andrew B Cohen, Daniel Heacock, Maureen Canavan, William Cushing, Ritu Agarwal, Michael Simonov, Sarwat I Chaudhry

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of hospital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Mia DjulbegovicDepartment of Internal Medicine, National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-4658-8703
Kevin ChenDepartment of Internal Medicine, National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA.
Andrew B CohenVeterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA.
Daniel HeacockYale-New Haven Hospital, New Haven, Connecticut, USA.
Maureen CanavanDepartment of Internal Medicine, National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA.
William CushingYale-New Haven Hospital, New Haven, Connecticut, USA.
Ritu AgarwalDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Michael SimonovDepartment of Internal Medicine, School of Public Health, Yale University, New Haven, Connecticut, USA.
Sarwat I ChaudhryDepartment of Internal Medicine, National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA.
Yale University · USYale New Haven Hospital · USYale Cancer Center · 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
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Dementia and Decision-Making for Older Adults without SurrogatesK76AG059987 · NIA · YALE UNIVERSITY · PI COHEN, ANDREW B · 2018 to 2022
$1.2M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIA NIH HHS K76 AG059987
6 · The paper itself

Abstract

backgroundHospitalist physicians' workload-the total number of patients they care for daily-is rising in the U.S. Hospitalists report that increased workload negatively affects patients care.

objectiveMeasure the associations between hospitalist physicians' workload and clinical outcomes. DESIGN, SETTINGS, AND

participantsObservational study, using electronic health record (EHR) data, of adults hospitalized on the hospitalist service at Yale-New Haven Hospital from 2015-2018. MAIN OUTCOME AND MEASURES: We defined hospitalists' workload as the number of patients they cared for on the first full hospital day of a given patient's encounter. We used multilevel Poisson and logistic regression to examine associations between workload and length of stay (LOS), return to the Emergency Department (ED), and readmission. We adjusted for sociodemographic factors, patient complexity and severity of illness, and weekend admission (for LOS) or discharge (for ED visits or readmission).

resultsWe analyzed 38,141 hospitalizations. Median patient age was 64 years (IQR 51-78 years), 53% were female, and 34% were nonwhite. Mean workload was 15 patients (SD 3 patients; range 10-34 patients). LOS was prolonged by 0.05 days (95% CI 0.02, 0.08; p(0.001) when comparing the 75th workload percentile (16 patients) to the 25th workload percentile (13 patients). There were no associations between workload and ED visits or readmission within 7 and 30 days.

conclusionsThere was a statistically significant but modest relationship between workload and LOS; workload was not associated with ED visits or readmissions.Given clinical reports of the deleterious effects of increased hospitalist workload, there is a need for prospective research assessing a range of outcomes, beyond those measurable in contemporary EHR data.

Indexed as

HospitalistsAdultAgedFemaleHospitalsHumansLength of StayMaleMiddle AgedPatient ReadmissionRetrospective StudiesWorkload

Identifiers

PMID35662410
PMCPMC9248905
OpenAlexW4281710892

What OpenQuestion holds

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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.