Evidence map›Paper›PMID 31764937›Full record

ArticleJAMA internal medicine2020

Association of the Work Schedules of Hospitalists With Patient Outcomes of Hospitalization.

James S Goodwin, Shuang Li, Yong-Fang Kuo

Abstract read
In one paragraph

Article in JAMA internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

3 authors.

James S GoodwinDepartment of Preventive Medicine and Community Health, The University of Texas Medical Branch at Galveston.
Shuang LiDepartment of Preventive Medicine and Community Health, The University of Texas Medical Branch at Galveston.
Yong-Fang KuoDepartment of Preventive Medicine and Community Health, The University of Texas Medical Branch at Galveston.

Funding

Care of the elder hospitalized patient: the role of the hospitalistsR01AG033134 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2009 to 2018
$2.2M
NIA NIH HHS R01 AG033134
6 · The paper itself

Abstract

Importance: The working schedules of hospitalists vary widely. Discontinuous schedules, such as 24 hours on and 48 hours off, result in several hospitalists providing care during a patient's hospital stay. Poor continuity of care during hospitalization may be associated with poor patient outcomes. Objective: To determine whether admitted patients receiving care from hospitalists with more discontinuous schedules experience worse outcomes. Design, Setting, and Participants: This retrospective cohort study used conditional models to assess Medicare claims data for 114 777 medical admissions of patients with a 3-day to 6-day length of stay from January 1, 2014, through November 30, 2016, who received all general medical care from hospitalists in 229 hospitals in Texas. Data were analyzed from November 2018 to June 2019. Exposures: For each admission, the weighted mean of schedule continuity for the treating hospitalists, assessed as the percentage of all their working days in that year that were part of a block of 7 or more consecutive working days, was calculated. Main Outcomes and Measures: The primary outcome was patient mortality in the 30 days after discharge. Secondary outcomes were readmission rates and Medicare costs in the 30 days after discharge, and discharge destination. Results: Of the 114 777 patient admissions, the mean (SD) age was 79.9 (8.3) years, and 70 047 (61.0%) were women. For admissions in the lowest quartile for continuity of hospitalist schedules, the hospitalists providing care worked 0% to 30% of their total working days as part of a block of 7 or more consecutive days vs 67% to 100% for hospitalists providing care for patients in the highest quartile for continuity. Patient characteristics were not associated with the continuity of working schedules for the hospitalist(s) providing care. In conditional logistic regression models, admitted patients cared for by hospitalists in the highest quartile of schedule continuity (vs the lowest quartile) had lower 30-day mortality after discharge (adjusted odds ratio [aOR], 0.88; 95% CI, 0.81-0.95), lower readmission rates (aOR, 0.94; 95% CI, 0.90-0.99), higher rates of discharge to the home (aOR, 1.08; 95% CI, 1.03-1.13), and lower 30-day postdischarge costs (-$223; 95% CI, -$441 to -$7). The results were similar across a range of different methods for defining continuity of hospitalist schedules and selecting the cohort. Conclusions and Relevance: Hospitalist schedules vary widely. Admitted patients receiving care from hospitalists with schedules that promote inpatient continuity of care may experience better outcomes of hospitalization.

Indexed as

Continuity of Patient CareHospitalistsMortalityAgedAged, 80 and overCohort StudiesFemaleHealth Care CostsHospitalizationHumansMaleMedicareOutcome Assessment, Health CarePatient DischargePatient ReadmissionPersonnel Staffing and Scheduling

Identifiers

PMID31764937
PMCPMC6902197

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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.