Evidence map›Paper›PMID 32838764›Full record

ArticleBMC health services research2020

Factors associated with low-acuity hospital admissions in a public safety-net setting: a cross-sectional study.

Noushyar Panahpour Eslami, Jefferson Nguyen, Luis Navarro, Madison Douglas, Maralyssa Bann

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Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Noushyar Panahpour EslamiUniversity of Washington, Seattle, USA.
Jefferson NguyenUniversity of Washington, Seattle, USA.
Luis NavarroUniversity of Washington, Seattle, USA.
Madison DouglasUniversity of Washington, Seattle, USA.
Maralyssa BannDivision of GIM/Hospital Medicine, Harborview Medical Center, 325 9th Avenue, Box 359780, Seattle, WA, 98104, USA. mbann@uw.edu.ORCID http://orcid.org/0000-0002-5893-950X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven system-level focus on avoidance of unnecessary hospitalizations, better understanding admission decision-making is of utility. Our study sought to identify factors associated with hospital admission versus discharge from the Emergency Department (ED) for a population of patients who were assessed as having low medical acuity at time of decision.

methodsUsing an institutional database, we identified ED admission requests received from March 1, 2018 to Feb 28, 2019 that were assessed by a physician at the time of request as potentially inappropriate based on lack of medical acuity. Focused chart review was performed to extract data related to patient demographics, socioeconomic information, measures of illness, and system-level factors such as previous healthcare utilization and day/time of presentation. A binary logistic regression model was constructed to correlate patient and system factors with disposition outcome of admission to the hospital versus discharge from the ED. Physician-reported contributors to admission decision-making and chief complaint/reason for admission were summarized.

resultsA total of 349 (77.2%) of 452 calls resulted in admission to the hospital and 103 (22.8%) resulted in discharge from the ED. Predictors of admission included age over 65 (OR 3.5 [95%CI 1.1-11.6], p = 0.039), homelessness (OR 3.3 [95% CI 1.7-6.4], p=0.001), and night/weekend presentation (OR 2.0 [95%CI 1.1-3.5], p = 0.020). The most common contributing factors to the decision to admit reported by the responding physician included: lack of outpatient social support (35.8% of admissions), homelessness (33.0% of admissions), and substance use disorder (23.5% of admissions).

conclusionsPhysician medical decision-making regarding the need for hospitalization incorporates consideration of individual patient characteristics, social setting, and system-level barriers. Interventions aimed at reducing unnecessary hospitalizations, especially those involving patients with low medical acuity, should focus on underlying unmet needs and involve a broad set of perspectives.

Indexed as

Patient AcuityCross-Sectional StudiesEmergency Service, HospitalFemaleHospitalizationHospitalsHumansLogistic ModelsMaleMiddle AgedPatient AdmissionPatient DischargeSocioeconomic FactorsDecision to admitHospital admissionNon medical acuity

Identifiers

PMID32838764
PMCPMC7446119

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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.