Evidence map›Paper›PMID 41646713›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Evaluation of a High-Acuity Next Day Clinic for Hospital Admission Avoidance: A 13-Month Cohort Study.

Richard K Leuchter, Jaclyn Spiegel, William B Turner, Paul Salama, Scott Lundberg, Mandi Occhiuto, Oleg Melamed, Vinhfield Ta, Vimol Reepolrujee, Anthony Simmons and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Richard K LeuchterDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.ORCID 0000-0002-2244-6519
Jaclyn SpiegelDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
William B TurnerDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Paul SalamaDepartment of Medicine, University of California, Irvine School of Medicine, Irvine, CA, USA.
Scott LundbergDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Mandi OcchiutoDepartment of Medicine, Olive View-UCLA Medical Center, Sylmar, CA, USA.
Oleg MelamedDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Vinhfield TaDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Vimol ReepolrujeeDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Anthony SimmonsDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Sitaram VangalaDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Tristan TibbeDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Ben WatermanDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Soma WaliDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Funding

Using Machine Learning and Patient-Reported Outcomes to Identify Unnecessary HospitalizationsK38HL164955 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEUCHTER, RICHARD K · 2022 to 2023
$224k
NHLBI NIH HHS K38 HL164955
6 · The paper itself

Abstract

Importance: Hospital capacity constraints and rising healthcare costs necessitate innovative models for delivering acute care. While various hospital-substitution models exist, challenges in scalability and long-term viability persist. Objective: To evaluate the feasibility and safety of a novel, high-acuity Next Day Clinic (NDC) as an alternative to hospitalization for select acutely ill emergency department (ED) patients. Design Setting and Participants: Retrospective matched cohort study of patients referred to the NDC between July 1, 2023-July 31, 2024, matched to patients seen in the ED during the year prior to NDC launch, within a large academic safety-net hospital. Intervention: High-acuity outpatient therapy for one or more consecutive days in the NDC, consisting of daily IV antibiotics or diuretics, STAT labs, and rapid turnaround imaging and cardiodiagnostics. Main Outcomes and Measures: Days alive and out of hospital (DAOH) in the 30 days following the index ED visit. Secondary outcomes were the number of hospital bed-days avoided, as well as 30-day ED revisits, hospital readmissions, and mortality. Results: The NDC had 1009 encounters (mean age, 54.4 years [SD 14.6]; 448 female [44%]) during the study period, 420 (42%) of which were referred from the ED. Of these, 298 (71%) matched to 4666 ED visits (mean age, 53.3 years [SD 15.2]; 2019 female [43%]) in the year prior to NDC launch on age, sex, the first set of laboratory and vital sign data obtained in the ED (i.e., presenting illness severity), and an exact match on primary diagnosis group. Unadjusted mean DAOH in the NDC cohort was 29.5 days (SD 2.3) compared to 24.9 days (SD 5.5) in the control cohort. Adjusting for the same features in the matching algorithm showed NDC treatment was associated with an average of 3.85 (SD 0.20) more DAOH compared to hospitalization (p<0.001), translating to 358-1294 hospital bed-days saved over the study period. NDC patients had significantly higher rates of 30-day ED revisits per 100 encounters (20.5 versus 13.0, p<0.001), but significantly lower rates of 30-day hospital readmissions per 100 encounters (5.7 versus 11.0, p<0.001) and morality (0% versus 0.9%, p<0.001). Conclusions and Relevance: The NDC is a feasible and safe alternative to hospitalization, and promising strategy for managing ED and hospital capacity and reducing healthcare expenditures.

Identifiers

PMID41646713
PMCPMC12870686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.