Evidence map›Paper›PMID 24135030›Full record

ArticleBMC research notes2013

Clinical identification of patients readmitted to hospitals: why patients return.

Ronald J Lagoe, Diane Nanno, Mary Luziani

Abstract read
In one paragraph

Article in BMC research notes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Rates, causes, and types of readmissions after total joint arthroplasty.Turkish journal of physical medicine and rehabilitation · 2020
    Article
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.

Ronald J LagoeHospital Executive Council, PO Box 35089, Syracuse, NY 13235, USA. hospexcl@cnymail.com.
Diane Nanno
Mary Luziani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreased interest in hospital outcomes has supported the need for clear and useful identification of patients who are readmitted. These patients have frequently been identified by the principal diagnosis of the initial admission.

findingsIn order to evaluate the effectiveness of identifying patients who were subsequently readmitted, those with two frequently encountered conditions, principal diagnoses of congestive heart failure and pneumonia, in the hospitals of Syracuse New York were evaluated. Both populations had large proportions of readmissions involved with principal diagnoses other than pneumonia. For patients with heart failure, a majority of readmitted patients had other diagnoses for two of the hospitals. For patients with pneumonia, a majority of patients had other diagnoses for all of the hospitals.

conclusionsThe data suggested that many patients who were subsequently readmitted are best identified as medicine patients with multiple diagnoses, rather than a single one. This approach addresses the need to manage a wide range of conditions for hospital readmissions, rather than a narrow approach on individual diagnosis.

Indexed as

Heart FailureHospitalizationHospitalsHumansNew YorkPatient DischargePatient ReadmissionPneumoniaTime Factors

Identifiers

PMID24135030
PMCPMC4016003

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.