Evidence map›Paper›PMID 39677474›Full record

ArticlemedRxiv : the preprint server for health sciences2024

The Effect of Length of Stay in Hospital on Patients' Health Outcomes: A Quasi-Experimental Study.

Benedikt Langenberger, Christopher Worsham, Pascal Geldsetzer

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

3 authors.

Benedikt LangenbergerStanford University, Hasso Plattner Institute.
Christopher WorshamHarvard Medical School, Massachusetts General Hospital.
Pascal GeldsetzerStanford University.

Funding

The impact of clinical interventions for sepsis in routine care and among detailed patient subgroups: A novel approach for causal effect estimation in electronic health record dataDP2AI171011 · NIAID · STANFORD UNIVERSITY · PI Pascal Geldsetzer · 2022 to 2026
$2.4M
Use of Inter-Hospital Transfer Services in Critical Illness and Acute Respiratory FailureK08HS029197 · AHRQ · MASSACHUSETTS GENERAL HOSPITAL · PI WORSHAM, CHRISTOPHER MOORE · 2023 to 2025
$468k
AHRQ HHS K08 HS029197NIAID NIH HHS DP2 AI171011
6 · The paper itself

Abstract

The causal effect of hospital length of stay on crucial patient outcomes such as readmissions or mortality is under-investigated and therefore unknown for the vast majority of the US population. Existing evidence stems from association studies that are unable to draw causal conclusions. This study leverages Medicare's two-midnight (2MN) and three-day (3D) rules as two natural experiments to establish causal relationships between hospital length of stay (LOS) and patient outcomes. Using a quasi-experimental regression discontinuity design with data from a large US hospital, we find that the 2MN rule increases LOS by 0.10 days and the 3D rule by 0.21 days, confirming the validity of these rules as instruments for causal inference. However, despite these increases in LOS, there are no significant effects on 90-day mortality or 30-day readmission rates. These findings suggest that while the 2MN and 3D rules effectively extend hospital stays, they do not improve patient-related outcomes, indicating an inefficient use of hospital resources.

Identifiers

PMID39677474
PMCPMC11643150

What OpenQuestion holds

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Registered trials

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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.