Evidence map›Paper›PMID 34113165›Full record

ArticleInternational journal of general medicine2021

Clinical Analysis and Management of Long-Stay Patients.

Chienhsiu Huang

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

1 author.

Chienhsiu HuangDepartment of Internal Medicine, Division of Chest Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan.ORCID 0000-0003-1239-9584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, a certain proportion of patients stay for long periods. Reduction of length of stay is a critical intervention to optimize in-hospital resource utilization. Length of stay itself is a reliable quality index for healthcare systems. Interventions to reduce long hospital stays require understanding organizational and individual factors that affect the length of stay. The purposes of this study are to attempt to reduce long stays (defined as >30 days) by identifying the causes and preventing such situations.

methodsThis was a retrospective observational study of patients who stayed in the hospital for long periods (>30 days) between 1 January 2018 and 31 December 2018. We identified subgroups of patients with long stays, evaluated their associations with baseline variables, relevant discharge departments, and causes of long stays. We proposed improvement plans.

resultsThere were 446 long-stay patients (mean age 66.7 years; 37.7% females), including 158 undergoing prolonged mechanical ventilation, 109 with diseases requiring hospitalization, 93 due to nosocomial infection, 31 with delayed discharge, 20 with iatrogenic complications, and 35 patients with long stays for various causes. There were 9331 hospital days associated with 158 patients with prolonged mechanical ventilation. The number of hospital days for those undergoing prolonged mechanical ventilation was significantly different from that of patients who did not undergo prolonged mechanical ventilation. Depending on the causes of long stay, we could reduce the length of stay in 188 (42.1%) of patients using an aggressive management strategy.

conclusionsSetting a ventilator weaned unit for prolonged mechanical ventilation patients in a tertiary-level hospital is essential to reduce long stay of intensive care unit. Aggressive management strategies can reduce long stays.

Indexed as

length of staylong stayrespiratory care centerweaning units in acute care hospital

Identifiers

PMID34113165
PMCPMC8187092
OpenAlexW3168967887

What OpenQuestion holds

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LicenceCC BY-NC
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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.